{"id":1320,"date":"2026-05-22T14:20:07","date_gmt":"2026-05-22T14:20:07","guid":{"rendered":"https:\/\/lean-app.com\/?p=1320"},"modified":"2026-09-05T10:39:54","modified_gmt":"2026-09-05T10:39:54","slug":"comparatifs","status":"publish","type":"post","link":"https:\/\/lean-app.com\/de\/comparatifs\/","title":{"rendered":"Kalorien-App-Vergleiche: Lean gegen MyFitnessPal, Yazio und 4 weitere"},"content":{"rendered":"<script type=\"application\/ld+json\">\n{\n\"@context\": \"https:\/\/schema.org\",\n\"@type\": \"CollectionPage\",\n\"mainEntityOfPage\": {\n\"@type\": \"WebPage\",\n\"@id\": \"https:\/\/lean-app.com\/comparatifs\/\"\n},\n\"headline\": \"Tous les comparatifs Lean. Une seule formule qui change tout.\",\n\"description\": \"Hub des comparatifs Lean face aux apps calorie majeures : MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret.\",\n\"inLanguage\": \"fr-FR\",\n\"datePublished\": \"2026-05-22T09:00:00+02:00\",\n\"dateModified\": \"2026-05-22T09:00:00+02:00\",\n\"author\": {\n\"@type\": \"Organization\",\n\"name\": \"L'\u00e9quipe Lean\",\n\"url\": \"https:\/\/lean-app.com\/\"\n},\n\"publisher\": {\n\"@type\": \"Organization\",\n\"name\": \"Lean\",\n\"url\": \"https:\/\/lean-app.com\/\",\n\"logo\": {\n\"@type\": \"ImageObject\",\n\"url\": \"https:\/\/lean-app.com\/comparatifs\/icons\/icon-512.png\",\n\"width\": 512,\n\"height\": 512\n}\n},\n\"about\": [\n{\"@type\": \"Thing\", \"name\": \"TDEE\", \"description\": \"Total Daily Energy Expenditure\"},\n{\"@type\": \"Thing\", \"name\": \"BMR\", \"description\": \"Basal Metabolic Rate\"},\n{\"@type\": \"Thing\", \"name\": \"Adaptation m\u00e9tabolique\"}\n]\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n\"@context\": \"https:\/\/schema.org\",\n\"@type\": \"ItemList\",\n\"name\": \"Comparatifs Lean face aux apps calorie\",\n\"itemListElement\": [\n{\"@type\": \"ListItem\", \"position\": 1, \"url\": \"https:\/\/lean-app.com\/lean-vs-myfitnesspal\/\", \"name\": \"Lean vs MyFitnessPal\"},\n{\"@type\": \"ListItem\", \"position\": 2, \"url\": \"https:\/\/lean-app.com\/lean-vs-yazio\/\", \"name\": \"Lean vs Yazio\"},\n{\"@type\": \"ListItem\", \"position\": 3, \"url\": \"https:\/\/lean-app.com\/lean-vs-cronometer\/\", \"name\": \"Lean vs Cronometer\"},\n{\"@type\": \"ListItem\", \"position\": 4, \"url\": \"https:\/\/lean-app.com\/lean-vs-lifesum\/\", \"name\": \"Lean vs Lifesum\"},\n{\"@type\": \"ListItem\", \"position\": 5, \"url\": \"https:\/\/lean-app.com\/lean-vs-fatsecret\/\", \"name\": \"Lean vs FatSecret\"},\n{\"@type\": \"ListItem\", \"position\": 6, \"url\": \"https:\/\/lean-app.com\/lean-vs-noom\/\", \"name\": \"Lean vs Noom\"},\n{\"@type\": \"ListItem\", \"position\": 7, \"url\": \"https:\/\/lean-app.com\/lean-vs-foodvisor\/\", \"name\": \"Lean vs Foodvisor\"}\n]\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n\"@context\": \"https:\/\/schema.org\",\n\"@type\": \"FAQPage\",\n\"mainEntity\": [\n{\n\"@type\": \"Question\",\n\"name\": \"Pourquoi un hub comparatifs et pas juste une page ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Parce que chaque app calorie a un d\u00e9faut diff\u00e9rent. MyFitnessPal s'appuie sur Mifflin-St Jeor 1990 sans bodyfat, Cronometer reste fort sur les micronutriments mais ignore l'adaptation, Yazio est ergonomique mais utilise un coefficient d'activit\u00e9 statique. Un hub permet de comparer Lean \u00e0 chaque concurrent sur ses propres armes, sans diluer le propos.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Qu'est-ce que Lean fait diff\u00e9remment de MyFitnessPal et Yazio ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Lean calcule les 5 composants du TDEE : BMR sur bodyfat r\u00e9el via BodyScan IA, NEAT sur les pas r\u00e9els, EAT par sport et MET, TEF par macros ing\u00e9r\u00e9s, adaptation m\u00e9tabolique automatique semaine apr\u00e8s semaine. Les autres apps s'arr\u00eatent \u00e0 un BMR poids-taille-\u00e2ge plus un coefficient d'activit\u00e9 statique.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Quelles apps sont compar\u00e9es dans ce hub ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Cinq apps grand public majeures : MyFitnessPal, Yazio, Cronometer, Lifesum et FatSecret. Chaque comparateur 1v1 regarde la formule TDEE, la base alimentaire, les m\u00e9thodes de tracking et l'honn\u00eatet\u00e9 des forces et faiblesses de chaque c\u00f4t\u00e9.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Y aura-t-il d'autres comparateurs ajout\u00e9s ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Oui. La grille de crit\u00e8res est fig\u00e9e (BMR, NEAT, EAT, TEF, adaptation, scan IA). Tout nouveau tracker grand public sera pass\u00e9 au crible avec la m\u00eame rigueur. Le hub est volontairement extensible sans casser la coh\u00e9rence \u00e9ditoriale.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Comment Lean calcule l'adaptation m\u00e9tabolique sans formule publique ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Lean s'appuie sur un mod\u00e8le propri\u00e9taire brevet\u00e9 qui prolonge les travaux publi\u00e9s par Rosenbaum, Leibel, M\u00fcller et Westerterp. \u00c0 d\u00e9ficit de \u2212500 kcal sur 4 \u00e0 6 semaines, l'app ajuste ton TDEE \u00e0 la baisse de 10 \u00e0 15 % selon tes donn\u00e9es r\u00e9elles. Aucune autre app grand public ne fait ce calcul \u00e0 ce jour.\"\n}\n},\n{\n\"@type\": \"Question\",\n\"name\": \"Lean fonctionne sur Android comme sur iPhone ?\",\n\"acceptedAnswer\": {\n\"@type\": \"Answer\",\n\"text\": \"Oui, l'app est native iOS et Android. NEAT aliment\u00e9e par HealthKit c\u00f4t\u00e9 iPhone, Google Fit c\u00f4t\u00e9 Android. 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strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\nbody.postid-1320 #lvm-shell .solo-mini{display:flex;justify-content:center;margin:30px 0}\nbody.postid-1320 #lvm-shell .solo-mini .mini-phone{max-width:180px}\nbody.postid-1320 #lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\nbody.postid-1320 #lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\nbody.postid-1320 #lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\nbody.postid-1320 #lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\nbody.postid-1320 #lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\nbody.postid-1320 #lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\nbody.postid-1320 #lvm-shell .spoke-grid{display:grid;grid-template-columns:1fr;gap:18px;margin:30px 0 10px}\nbody.postid-1320 #lvm-shell .spoke-card{display:grid;grid-template-columns:64px 1fr auto;grid-template-rows:auto auto auto;column-gap:20px;row-gap:6px;align-items:center;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;text-decoration:none;color:var(--ink-2);transition:all .15s}\nbody.postid-1320 #lvm-shell .spoke-card:hover{border-color:var(--ink);transform:translateY(-1px);box-shadow:0 8px 20px rgba(0,0,0,.06)}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-logo{grid-row:1\/3;width:56px;height:56px;border-radius:22.5%;object-fit:cover;background:#fff}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-name{grid-column:2;grid-row:1;margin:0;font-family:var(--font-display);font-size:20px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.2}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-usp{grid-column:2;grid-row:2;margin:0;font-size:14px;color:var(--muted);line-height:1.5}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-edge{grid-column:2\/4;grid-row:3;margin:8px 0 0;font-size:13px;color:var(--pink-deep);font-weight:500;line-height:1.5}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-cta{grid-column:3;grid-row:1;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600;white-space:nowrap;align-self:center}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-pill{grid-column:3;grid-row:1;font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;color:var(--ink);font-weight:600;background:var(--paper);border:1px solid var(--rule);padding:5px 10px;border-radius:99px;white-space:nowrap;align-self:center}\nbody.postid-1320 #lvm-shell .spoke-card.published{border-left:2px solid var(--pink)}\nbody.postid-1320 #lvm-shell .faq{margin:22px 0}\nbody.postid-1320 #lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\nbody.postid-1320 #lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\nbody.postid-1320 #lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\nbody.postid-1320 #lvm-shell .faq summary::-webkit-details-marker{display:none}\nbody.postid-1320 #lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\nbody.postid-1320 #lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\nbody.postid-1320 #lvm-shell .faq details[open] summary{color:var(--pink)}\nbody.postid-1320 #lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\nbody.postid-1320 #lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\nbody.postid-1320 #lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\nbody.postid-1320 #lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\nbody.postid-1320 #lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\nbody.postid-1320 #lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\nbody.postid-1320 #lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\nbody.postid-1320 #lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\nbody.postid-1320 #lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\nbody.postid-1320 #lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\nbody.postid-1320 #lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\nbody.postid-1320 #lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\nbody.postid-1320 #lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\nbody.postid-1320 #lvm-shell footer .stores{display:flex;gap:8px}\nbody.postid-1320 #lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\nbody.postid-1320 #lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\nbody.postid-1320 #lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){body.postid-1320 #lvm-shell .rev{transition:none;opacity:1;transform:none}}\n@media (max-width:760px){\nbody.postid-1320 #lvm-shell .nav-row{padding:8px 18px;gap:8px}\nbody.postid-1320 #lvm-shell .nav-link{display:none}\nbody.postid-1320 #lvm-shell .nav-stores img{height:24px}\nbody.postid-1320 #lvm-shell .wrap{padding:0 22px}\nbody.postid-1320 #lvm-shell .hero{padding:34px 0 0}\nbody.postid-1320 #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\nbody.postid-1320 #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\nbody.postid-1320 #lvm-shell .dek{font-size:20px}\nbody.postid-1320 #lvm-shell .hero-stores img{height:42px}\nbody.postid-1320 #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\nbody.postid-1320 #lvm-shell .phone-wrap{order:-1}\nbody.postid-1320 #lvm-shell .phone{width:240px}\nbody.postid-1320 #lvm-shell .tap-hint.desktop{display:none}\nbody.postid-1320 #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\nbody.postid-1320 #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\nbody.postid-1320 #lvm-shell .snippet{padding:24px 22px}\nbody.postid-1320 #lvm-shell .snippet p{font-size:18px}\nbody.postid-1320 #lvm-shell section{padding:48px 0}\nbody.postid-1320 #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\nbody.postid-1320 #lvm-shell h3{font-size:24px}\nbody.postid-1320 #lvm-shell .section-label{margin-bottom:22px}\nbody.postid-1320 #lvm-shell .statement{padding:14px 0;margin:20px 0}\nbody.postid-1320 #lvm-shell .statement .num{font-size:44px}\nbody.postid-1320 #lvm-shell .statement .lbl{font-size:21px;line-height:1.3}\nbody.postid-1320 #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\nbody.postid-1320 #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\nbody.postid-1320 #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\nbody.postid-1320 #lvm-shell .mini-phone .scr{border-radius:15px}\nbody.postid-1320 #lvm-shell .mini-cap{font-size:10px}\nbody.postid-1320 #lvm-shell .mini-cap strong{font-size:13px}\n\/* HUB table mobile : scroll horizontal *\/\nbody.postid-1320 #lvm-shell .htable{overflow-x:auto;border-radius:14px}\nbody.postid-1320 #lvm-shell .htable-row{grid-template-columns:140px repeat(6,minmax(82px,1fr));min-width:640px}\nbody.postid-1320 #lvm-shell .htable-row > .crit{padding:11px 12px;font-size:12px;line-height:1.35;position:sticky;left:0;background:#fff;border-right:1px solid var(--rule)}\nbody.postid-1320 #lvm-shell .htable-row.head > .crit-head{background:var(--ink);color:#fff;border-right:1px solid rgba(255,255,255,.08);position:sticky;left:0}\nbody.postid-1320 #lvm-shell .htable-row > .cell{padding:11px 6px;font-size:11px;gap:5px}\nbody.postid-1320 #lvm-shell .htable-row.head{min-height:82px}\nbody.postid-1320 #lvm-shell .htable-row.head > div{padding:10px 6px;font-size:9px;gap:4px}\nbody.postid-1320 #lvm-shell .htable-row.head .brand-cell img{width:22px;height:22px}\nbody.postid-1320 #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\nbody.postid-1320 #lvm-shell .get-band h3{font-size:28px}\nbody.postid-1320 #lvm-shell .get-band .stores img{height:50px}\nbody.postid-1320 #lvm-shell .cta-band{padding:22px;gap:14px}\nbody.postid-1320 #lvm-shell .cta-band .l{font-size:16px;min-width:0}\nbody.postid-1320 #lvm-shell .cta-band .stores img{height:38px}\nbody.postid-1320 #lvm-shell .faq summary{font-size:18px;gap:14px}\nbody.postid-1320 #lvm-shell .spoke-card{grid-template-columns:48px 1fr;column-gap:14px;padding:18px 18px;border-radius:14px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-logo{width:44px;height:44px;grid-row:1\/3}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-name{font-size:17px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-usp{font-size:13px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-edge{grid-column:1\/3;font-size:12px}\nbody.postid-1320 #lvm-shell .spoke-card .spoke-cta, body.postid-1320 #lvm-shell .spoke-card .spoke-pill{grid-column:1\/3;grid-row:auto;justify-self:flex-start;margin-top:6px}\n}\n@media (max-width:480px){\nbody.postid-1320 #lvm-shell .phone-tabs{gap:5px}\nbody.postid-1320 #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\nbody.postid-1320 #lvm-shell .nav-stores{gap:4px}\nbody.postid-1320 #lvm-shell .nav-stores img{height:22px}\nbody.postid-1320 #lvm-shell .hero-stores img{height:40px}\nbody.postid-1320 #lvm-shell .crumb{font-size:12px}\n}<\/style>\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1320 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1320 #lvm-shell .wrap,\nbody.postid-1320 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important;box-sizing:border-box!important}\n@media (max-width:820px){\nbody.postid-1320 #lvm-shell .wrap,\nbody.postid-1320 #lvm-shell main.wrap{padding-left:22px!important;padding-right:22px!important}\nbody.postid-1320 #lvm-shell .hero{padding:34px 0 0!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1320 #lvm-shell{overflow-x:hidden;max-width:100vw;display:block}\nbody.postid-1320 #lvm-shell *{max-width:100%;box-sizing:border-box}\nbody.postid-1320 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\n\/* Force all .rev visible: IntersectionObserver-based fade-in fails under autoptimize bundling on production *\/\nbody.postid-1320 #lvm-shell .rev{opacity:1!important;transform:none!important;transition:none!important}\nbody.postid-1320 #lvm-shell a.inline,body.postid-1320 #lvm-shell .eyebrow,body.postid-1320 #lvm-shell .kicker{color:#C7164C!important}\nbody.postid-1320 #lvm-shell .card{text-decoration:none!important}\n\/* CTA bands mobile (badges bigger + centered) *\/\n@media (max-width:760px){\nbody.postid-1320 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\nbody.postid-1320 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\nbody.postid-1320 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\nbody.postid-1320 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\nbody.postid-1320 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;border-radius:10px!important}\nbody.postid-1320 #lvm-shell .get-band{padding:38px 22px!important}\nbody.postid-1320 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\nbody.postid-1320 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\nbody.postid-1320 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;border-radius:10px!important}\nbody.postid-1320 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\nbody.postid-1320 #lvm-shell .get-band p{font-size:15px!important}\n}\nbody.postid-1320 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1320 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1320 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n<\/style>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/de\/\" aria-label=\"Lean-Startseite\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/de\/tdee-calculator\/\">TDEE-Rechner<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Im App Store laden\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Verf\u00fcgbar bei Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n<main class=\"wrap\">\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/de\/\">Startseite<\/a> &nbsp;\/&nbsp; Vergleiche<\/div>\n  <div class=\"eyebrow\">Vergleiche &middot; Hub<\/div>\n  <h1 id=\"title\">Alle Lean-Vergleiche.\n    <span class=\"alt\">Eine einzige Formel, die alles \u00e4ndert, gegen\u00fcber den gro\u00dfen Kalorien-Apps.<\/span>\n  <\/h1>\n  <p class=\"dek\">Jeder klassische Tracker (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) berechnet deinen Kalorienverbrauch mit einer Formel von 1919 oder 1990, ohne K\u00f6rperfett und ohne Anpassung. Hier der Vergleich Zeile f\u00fcr Zeile, ehrlich, ohne Marketing-Geschw\u00e4tz.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Das Lean-Team<\/strong> &middot; Lesezeit 9&nbsp;Min. &middot; Aktualisiert am 22. Mai 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Kostenloser Download<\/span>\n  <\/div>\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Du vergleichst Lean mit MyFitnessPal, Yazio, Cronometer, Lifesum oder FatSecret? Jeder 1v1-Vergleich pr\u00fcft dasselbe Kriterienraster: BMR auf echtem K\u00f6rperfett, gemessenes NEAT, EAT pro Sportart, TEF nach Makros, metabolische Anpassung. F\u00fcnf Komponenten. Keine weniger.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktive Demo<\/small>Tippe auf den Bildschirm und erkunde die App<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktive Demo<\/small>Tippe auf den Bildschirm<br>und erkunde die App<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vorschau der Lean-App mit TDEE-Drilldown\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Zur&uuml;ck\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-Vorschau, Tab Kalorienverbrauch mit Detail BMR NEAT EAT TEF\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-Detail\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-Detail\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Tab Bilanz\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Tab Kalorien\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Tab Verbrauch\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Tab Strategie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Durch die Lean-App navigieren\">\n          <button data-tab=\"bilan\"     type=\"button\">Bilanz<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorien<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Verbrauch<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Schnelle Antwort<\/div>\n    <p>Keine der 5 gro\u00dfen Kalorien-Apps (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) berechnet die 5 Komponenten des TDEE. Alle bleiben bei einer BMR-Formel aus Gewicht, Gr\u00f6\u00dfe und Alter stehen, plus einem statischen Aktivit\u00e4tskoeffizienten, der bei der Anmeldung gew\u00e4hlt wird. Lean ist die einzige, die den BMR auf echtem K\u00f6rperfett per KI-BodyScan, das NEAT auf gemessenen Schritten, das EAT pro Sportart und MET, den TEF nach aufgenommenen Makros und die automatische metabolische Anpassung Woche f\u00fcr Woche berechnet.<\/p>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"statement-h\" class=\"rev\">\n  <h2 id=\"statement-h\" style=\"position:absolute;left:-9999px;width:1px;height:1px;overflow:hidden\">Erste Feststellung<\/h2>\n  <div class=\"statement\">\n    <p class=\"lbl\">TDEE = BMR + NEAT + EAT + TEF. Plus die metabolische Anpassung, die den BMR moduliert. Keine andere App berechnet alle 5.<\/p>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"probleme\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problem<\/span><\/div>\n  <h2 id=\"probleme\">Warum die Kalorienberechnung \u00fcberall kaputt ist<\/h2>\n  <p>Du l\u00e4dst eine Kalorien-App herunter. Du gibst Gewicht, Gr\u00f6\u00dfe, Alter, Geschlecht ein. Die App bittet dich, ein Aktivit\u00e4tsk\u00e4stchen anzukreuzen (sitzend \/ wenig aktiv \/ aktiv \/ sehr aktiv). Und spuckt dir einen t\u00e4glichen Kalorienverbrauch aus, deinen TDEE. Dieser TDEE wird zu deinem Anhaltspunkt zum Abnehmen, Muskelaufbau, Halten. Das Problem: dieser TDEE ist fast immer um 300 bis 800&nbsp;kcal falsch. Nicht aus Bosheit. Aus wissenschaftlicher Faulheit.<\/p>\n  <p>Die tiefere Ursache? All diese Apps nutzen eine Formel von <strong>1919 (Harris-Benedict)<\/strong> oder ihre aufpolierte Version von <strong>1990 (Mifflin-St Jeor)<\/strong> , um deinen Grundumsatz zu sch\u00e4tzen. Diese Formeln h\u00e4ngen nur von Gewicht, Gr\u00f6\u00dfe, Alter und Geschlecht ab. <strong>Nicht vom K\u00f6rperfett<\/strong>. Dabei verbraucht die Fettmasse sehr wenig Energie im Vergleich zur Magermasse. Zwei M\u00e4nner mit 80&nbsp;kg, einer mit 10&nbsp;% K\u00f6rperfett, der andere mit 30&nbsp;%, haben nicht denselben Stoffwechsel. Aber MFP, Yazio, Cronometer, Lifesum, FatSecret geben ihnen denselben Wert.<\/p>\n  <p>Dann multipliziert der Aktivit\u00e4tskoeffizient diesen falschen BMR mit einer fast zuf\u00e4lligen Zahl. Dann kommt die metabolische Anpassung, v\u00f6llig ignoriert. Dann schlie\u00dflich der TEF (Verdauung), pauschal auf 10&nbsp;% eingefroren, statt auf den aufgenommenen Makros berechnet. Vier N\u00e4herungen in Kaskade. Der finale TDEE hat nichts mehr mit deiner Realit\u00e4t zu tun.<\/p>\n  <div class=\"solo-mini\">\n    <div>\n      <div class=\"mini-phone\" style=\"max-width:170px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre via mod\u00e8le propri\u00e9taire brevet\u00e9\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Lean-BMR<strong>Auf echtem K\u00f6rperfett<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <p>Lean ist bei null gestartet, mit einer anderen Obsession: jede Komponente genau berechnen, nicht n\u00e4hern. Der BMR wird \u00fcber ein <strong>patentiertes propriet\u00e4res Modell<\/strong> berechnet, das von der Magermasse abh\u00e4ngt. Die Magermasse wiederum aus dem K\u00f6rperfett. Das K\u00f6rperfett, jede Woche \u00fcber ein einfaches Foto gemessen (KI-BodyScan). Das NEAT kommt aus den echten Schritten (HealthKit \/ Google Fit), nicht aus einem statischen K\u00e4stchen. Das EAT kommt aus dem MET jeder Sportart, gewichtet mit der effektiven Zeit. Der TEF wird nach deinen Makros berechnet. Die Anpassung wird Woche f\u00fcr Woche nach deinem kumulierten Defizit angepasst.<\/p>\n<\/section>\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Vergleichstabelle<\/span><\/div>\n  <h2 id=\"tab\">Lean gegen\u00fcber den 5 gro\u00dfen Apps, Kriterium f\u00fcr Kriterium<\/h2>\n  <p>Sechs Kriterien, die die Genauigkeit eines Trackers wirklich beschreiben. Kein Kriterium betrifft den Preis.<\/p>\n  <div class=\"htable\" role=\"table\" aria-label=\"Vergleich Lean gegen\u00fcber 5 gro\u00dfen Kalorien-Apps\">\n    <div class=\"htable-row head\" role=\"row\">\n      <div class=\"crit-head\" role=\"columnheader\">Kriterium<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Lean<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>MyFitness<br>Pal<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-square.webp\" alt=\"Yazio\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Yazio<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-cronometer-square.webp\" alt=\"Cronometer\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Cronometer<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-lifesum-square.webp\" alt=\"Lifesum\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>Lifesum<\/span>\n      <\/div>\n      <div class=\"brand-cell\" role=\"columnheader\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-square.webp\" alt=\"FatSecret\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n        <span>FatSecret<\/span>\n      <\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">BMR auf echtem K\u00f6rperfett<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">Auto-NEAT (Schritte + Aktivit\u00e4t au\u00dferhalb des Sports)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">EAT (Kalorien pro Einheit)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">TEF nach Makros<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">Metabolische Anpassung<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n    <\/div>\n    <div class=\"htable-row\" role=\"row\">\n      <div class=\"crit\">KI-Mahlzeitenscan (Foto)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span><\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span><\/div>\n    <\/div>\n  <\/div>\n  <p style=\"margin-top:24px\"><strong>Ehrliche Lekt\u00fcre.<\/strong> Cronometer bleibt sehr solide bei der TEF-Berechnung nach Makros (Erbe seiner rigorosen Mikron\u00e4hrstoff-Philosophie) und bietet ein feineres Tracking pro Einheit als die anderen Konkurrenten. Aber keine der 5 berechnet die metabolische Anpassung, und keine st\u00fctzt ihren BMR auf das echte K\u00f6rperfett. Der KI-Scan von Gerichten bleibt eine allgemeine Schw\u00e4che: MFP bietet einen begrenzten Kameramodus, FatSecret nur den Barcode.<\/p>\n<\/section>\n<section aria-labelledby=\"methode\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Lean-Methode<\/span><\/div>\n  <h2 id=\"methode\">Was Lean anders macht<\/h2>\n  <p>Drei Methodens\u00e4ulen. Kein magischer Koeffizient, kein statisches K\u00e4stchen, keine Pauschalsch\u00e4tzung.<\/p>\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : mod\u00e8le propri\u00e9taire brevet\u00e9 bas\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\"><strong>Patentierter BMR<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean : calcul\u00e9 sur les pas r\u00e9els mesur\u00e9s par smartphone\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\"><strong>Gemessenes NEAT<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\"><strong>Auto-Anpassung<\/strong><\/div>\n    <\/div>\n  <\/div>\n  <h2 id=\"methode-bmr\" style=\"margin-top:32px\">BMR auf Magermasse, nicht auf deinem Gewicht<\/h2>\n  <p class=\"lead-bullet\"><strong>BMR \u00fcber patentiertes propriet\u00e4res Modell<\/strong>, basierend auf der Magermasse, abgeleitet aus dem jede Woche per KI-BodyScan gemessenen echten K\u00f6rperfett. Ein Foto, 5 Sekunden.<\/p>\n  <p>Der BMR ist der erste Baustein des TDEE und der erste Fehler der Konkurrenten. Lean lehnt Harris-Benedict ab, lehnt Mifflin-St Jeor ab und wendet ein patentiertes propriet\u00e4res Modell an, das die <strong>Magermasse<\/strong> als Hauptvariable nimmt. Um diese Magermasse ohne DEXA-Scan f\u00fcr 100&nbsp;\u20ac pro Woche zu messen, nutzt die App den <strong>KI-BodyScan<\/strong>&nbsp;: ein Foto von dir in Unterw\u00e4sche, ein auf einer DEXA-Datenbank trainiertes Modell, dein K\u00f6rperfett in wenigen Sekunden gesch\u00e4tzt. Jede Woche wiederholt. Der BMR passt sich automatisch an.<\/p>\n  <h2 id=\"methode-neat-eat-tef\" style=\"margin-top:32px\">NEAT, EAT, TEF: gemessen, nicht gesch\u00e4tzt<\/h2>\n  <p class=\"lead-bullet\"><strong>NEAT, EAT, TEF getrennt berechnet<\/strong>, aus gemessenen Daten. Kein Aktivit\u00e4tskoeffizient zum Ankreuzen.<\/p>\n  <p><strong>NEAT.<\/strong> Deine echten Schritte, \u00fcber HealthKit (iOS) oder Google Fit (Android) abgerufen, gekreuzt mit deinem BMR. Keine Angabe, keine Sch\u00e4tzung \u00fcber den Daumen. <strong>EAT.<\/strong> F\u00fcr jede Sporteinheit w\u00e4hlst du die Sportart (Krafttraining, Laufen, Tennis, Schwimmen usw.) und Lean wendet ihren MET (Metabolic Equivalent Task) auf die effektive Zeit an (nicht die Gesamtzeit mit Pausen, der Fehler, den 100&nbsp;% der Smartwatches machen). <strong>TEF.<\/strong> Proteine kosten 20 bis 30&nbsp;% in der Verdauung, Kohlenhydrate 5 bis 10&nbsp;%, Fette 1 bis 3&nbsp;%. Lean berechnet deinen TEF auf der exakten Zusammensetzung deiner Makros, nicht als Pauschale von 10&nbsp;%.<\/p>\n  <h2 id=\"methode-adaptation\" style=\"margin-top:32px\">Metabolische Anpassung: der Baustein, den niemand berechnet<\/h2>\n  <p class=\"lead-bullet\"><strong>Automatische metabolische Anpassung.<\/strong> Erste Verbraucher-App, die das tut, nach unserem Wissen. Patentiertes propriet\u00e4res Modell.<\/p>\n  <p>Wenn du im anhaltenden Defizit bist, schaltet dein K\u00f6rper in den Sparmodus. Dein BMR sinkt, dein NEAT sinkt, dein TDEE sinkt. Bei einem Defizit von &minus;500&nbsp;kcal\/Tag erreicht die Anpassung 10 bis 15&nbsp;% in 4 bis 6 Wochen. Das ist der Hauptgrund f\u00fcr die Plateaus, die niemand erkl\u00e4ren kann. Lean senkt deinen TDEE Woche f\u00fcr Woche nach deinem kumulierten Defizit, ohne dich etwas zu fragen. Wenn die Anpassung 10 bis 15&nbsp;% erreicht, kann dir die App eine R\u00fcckkehr zur Erhaltung empfehlen, um deinen BMR zur\u00fcckzusetzen, bevor es zur\u00fcck ins Defizit geht.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Deinen echten TDEE aufgeschl\u00fcsselt sehen, ohne Aktivit\u00e4tskoeffizienten zum Ausw\u00e4hlen. Kostenloser Download.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n<section aria-labelledby=\"spokes\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Vergleiche<\/span><\/div>\n  <h2 id=\"spokes\">Die 5 Alternativen unter der Lupe<\/h2>\n  <p>Jede Karte \u00f6ffnet einen vollst\u00e4ndigen 1v1-Vergleich: ehrliche Tabelle, Scorecard, in der der Konkurrent gewinnt, wenn er gewinnt, und detaillierte Liste der Unterschiede.<\/p>\n  <div class=\"spoke-grid\">\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/de\/lean-vs-myfitnesspal\/\" aria-label=\"Vergleich Lean vs MyFitnessPal\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-myfitnesspal.webp\" alt=\"MyFitnessPal\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs. MyFitnessPal<\/h3>\n      <p class=\"spoke-usp\">Der historische Standard des Kalorienz\u00e4hlens. Riesige Community-Datenbank, Mifflin-St Jeor 1990, Aktivit\u00e4tskoeffizient mit 4 K\u00e4stchen.<\/p>\n      <p class=\"spoke-edge\">Wo Lean gewinnt: BMR auf echtem K\u00f6rperfett, automatische metabolische Anpassung, unbegrenzter KI-Scan von Gerichten gegen\u00fcber einer verrauschten Datenbank und einem BMR nur nach Gewicht.<\/p>\n      <span class=\"spoke-cta\">Zum Vergleich &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/de\/lean-vs-yazio\/\" aria-label=\"Vergleich Lean vs Yazio\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-square.webp\" alt=\"Yazio\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs. Yazio<\/h3>\n      <p class=\"spoke-usp\">Gepflegte Bedienung, Essenspl\u00e4ne, starkes europ\u00e4isches Publikum. TEF nach Lebensmittelkategorie gesch\u00e4tzt, ohne K\u00f6rperfettmodell.<\/p>\n      <p class=\"spoke-edge\">Wo Lean gewinnt: KI-BodyScan, auf Schritten gemessenes NEAT, EAT nach Sport-MET, metabolische Anpassung gegen\u00fcber einem statischen Aktivit\u00e4tskoeffizienten.<\/p>\n      <span class=\"spoke-cta\">Zum Vergleich &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/de\/lean-vs-cronometer\/\" aria-label=\"Vergleich Lean vs Cronometer\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-cronometer-square.webp\" alt=\"Cronometer\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs. Cronometer<\/h3>\n      <p class=\"spoke-usp\">Mikron\u00e4hrstoff-Referenz, rigorose NCCDB-Lebensmitteldatenbank, von Ern\u00e4hrungsberatern gesch\u00e4tzt. Bleibt beim TDEE bei Mifflin-St Jeor 1990 ohne K\u00f6rperfett.<\/p>\n      <p class=\"spoke-edge\">Wo Lean gewinnt: BMR auf echtem K\u00f6rperfett per KI-BodyScan, automatische metabolische Anpassung, NEAT auf echten Schritten gegen\u00fcber einem bei der Anmeldung eingefrorenen Aktivit\u00e4tskoeffizienten.<\/p>\n      <span class=\"spoke-cta\">Zum Vergleich &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/de\/lean-vs-lifesum\/\" aria-label=\"Vergleich Lean vs Lifesum (bald)\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-lifesum-square.webp\" alt=\"Lifesum\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs Lifesum<\/h3>\n      <p class=\"spoke-usp\">Skandinavische Lifestyle-App, vorgefertigte Di\u00e4ten (Keto, vegan, Paleo), t\u00e4glicher Ern\u00e4hrungsscore. Simplistische TDEE-Berechnung.<\/p>\n      <p class=\"spoke-edge\">Wo Lean gewinnt: wissenschaftliche Genauigkeit ersetzt Lifestyle-Rezepte. BMR auf K\u00f6rperfett, 5 TDEE-Komponenten separat berechnet, Auto-Anpassung.<\/p>\n      <span class=\"spoke-cta\">Zum Vergleich &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/de\/lean-vs-fatsecret\/\" aria-label=\"Vergleich Lean vs FatSecret (bald)\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-square.webp\" alt=\"FatSecret\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs FatSecret<\/h3>\n      <p class=\"spoke-usp\">Kostenlose Basis-App, gro\u00dfer Community-Katalog, Standard-Barcode-Scan. Keine wissenschaftliche Ambition beim TDEE.<\/p>\n      <p class=\"spoke-edge\">Wo Lean gewinnt: vollst\u00e4ndige wissenschaftliche Methode auf den 5 TDEE-Komponenten gegen\u00fcber einem rein deklarativen Ern\u00e4hrungstagebuch.<\/p>\n      <span class=\"spoke-cta\">Zum Vergleich &rarr;<\/span>\n    <\/a>\n  \n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/de\/lean-vs-noom\/\" aria-label=\"Vergleich Lean vs Noom\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-noom-real.webp\" alt=\"Noom\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs Noom<\/h3>\n      <p class=\"spoke-usp\">Psychologisches Coaching, t\u00e4gliche Kurse, Lebensmittelklassifizierung gr\u00fcn\/gelb\/rot, menschliche Coaches. TDEE-Motor auf Mifflin-St Jeor 1990, ohne K\u00f6rperfett und ohne Anpassung.<\/p>\n      <p class=\"spoke-edge\">Wo Lean gewinnt: BMR auf echtem K\u00f6rperfett, automatische metabolische Anpassung, NEAT auf echten Schritten gegen\u00fcber einem psychologischen Coaching auf einer simplistischen TDEE-Berechnung.<\/p>\n      <span class=\"spoke-cta\">Zum Vergleich &rarr;<\/span>\n    <\/a>\n    <a class=\"spoke-card published\" href=\"https:\/\/lean-app.com\/de\/lean-vs-foodvisor\/\" aria-label=\"Vergleich Lean vs Foodvisor\">\n      <img class=\"spoke-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/08\/fv-logo-foodvisor.jpg\" alt=\"Foodvisor\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <h3 class=\"spoke-name\">Lean vs. Foodvisor<\/h3>\n      <p class=\"spoke-usp\">Pionier des KI-Fotoscans eines Gerichts, solide franz\u00f6sische Datenbank, Ern\u00e4hrungscoaching optional. TDEE-Motor auf Mifflin-St Jeor 1990, ohne K\u00f6rperfett und ohne Anpassung.<\/p>\n      <p class=\"spoke-edge\">Wo Lean gewinnt: KI-Fotoscan ebenfalls, aber gest\u00fctzt auf einen kontinuierlich neu zusammengesetzten TDEE (BMR auf echtem K\u00f6rperfett, NEAT auf echten Schritten, metabolische Anpassung), wo Foodvisor am Teller aufh\u00f6rt.<\/p>\n      <span class=\"spoke-cta\">Zum Vergleich &rarr;<\/span>\n    <\/a>\n<\/div>\n<\/section>\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; H\u00e4ufige Fragen<\/span><\/div>\n  <h2 id=\"faq-h\">H\u00e4ufige Fragen<\/h2>\n  <div class=\"faq\">\n    <details>\n      <summary>Warum ein Vergleichs-Hub und nicht nur eine Seite?<\/summary>\n      <div class=\"ans\">Weil jede Kalorien-App einen anderen Fehler hat. MyFitnessPal st\u00fctzt sich auf Mifflin-St Jeor 1990 ohne K\u00f6rperfett, Cronometer bleibt stark bei Mikron\u00e4hrstoffen, ignoriert aber die Anpassung, Yazio ist bedienfreundlich, nutzt aber einen statischen Aktivit\u00e4tskoeffizienten. Ein Hub erlaubt es, Lean mit jedem Konkurrenten auf dessen eigenem Terrain zu vergleichen, ohne die Aussage zu verw\u00e4ssern.<\/div>\n    <\/details>\n    <details>\n      <summary>Was macht Lean anders als MyFitnessPal und Yazio?<\/summary>\n      <div class=\"ans\">Lean berechnet die 5 Komponenten des TDEE: BMR auf echtem K\u00f6rperfett per KI-BodyScan, NEAT auf den echten Schritten, EAT pro Sportart und MET, TEF nach aufgenommenen Makros, automatische metabolische Anpassung Woche f\u00fcr Woche. Die anderen Apps bleiben bei einem BMR aus Gewicht, Gr\u00f6\u00dfe und Alter plus einem statischen Aktivit\u00e4tskoeffizienten stehen.<\/div>\n    <\/details>\n    <details>\n      <summary>Welche Apps werden in diesem Hub verglichen?<\/summary>\n      <div class=\"ans\">F\u00fcnf gro\u00dfe Verbraucher-Apps: MyFitnessPal, Yazio, Cronometer, Lifesum und FatSecret. Jeder 1v1-Vergleich pr\u00fcft die TDEE-Formel, die Lebensmitteldatenbank, die Tracking-Methoden und die Ehrlichkeit der St\u00e4rken und Schw\u00e4chen auf beiden Seiten.<\/div>\n    <\/details>\n    <details>\n      <summary>Werden weitere Vergleiche hinzukommen?<\/summary>\n      <div class=\"ans\">Ja. Das Kriterienraster ist festgelegt (BMR, NEAT, EAT, TEF, Anpassung, KI-Scan). Jeder neue Verbraucher-Tracker wird mit derselben Strenge gepr\u00fcft. Der Hub ist bewusst erweiterbar, ohne die redaktionelle Koh\u00e4renz zu brechen.<\/div>\n    <\/details>\n    <details>\n      <summary>Wie berechnet Lean die metabolische Anpassung ohne \u00f6ffentliche Formel?<\/summary>\n      <div class=\"ans\">Lean st\u00fctzt sich auf ein patentiertes propriet\u00e4res Modell, das die von Rosenbaum, Leibel, M\u00fcller und Westerterp ver\u00f6ffentlichten Arbeiten fortf\u00fchrt. Bei einem Defizit von &minus;500&nbsp;kcal \u00fcber 4 bis 6 Wochen senkt die App deinen TDEE um 10 bis 15&nbsp;% nach deinen echten Daten. Keine andere Verbraucher-App macht diese Berechnung bis heute.<\/div>\n    <\/details>\n    <details>\n      <summary>Funktioniert Lean auf Android wie auf dem iPhone?<\/summary>\n      <div class=\"ans\">Ja, die App ist nativ f\u00fcr iOS und Android. NEAT gespeist von HealthKit auf dem iPhone, Google Fit auf Android. Der KI-BodyScan, der Barcode-Scan, der KI-Fotoscan eines Gerichts funktionieren auf beiden Plattformen identisch.<\/div>\n    <\/details>\n  <\/div>\n<\/section>\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>Werde Lean, bleib Lean<\/h3>\n  <p>iOS und Android. Der KI-BodyScan funktioniert mit einem einfachen Foto. Keine Hautfaltenzange, keine Impedanzwaage, kein DEXA.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lean im App Store laden\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lean bei Google Play laden\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Zum Weiterlesen<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interne Verlinkung<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/comparatifs-croises\/\">Kreuzvergleiche: MyFitnessPal oder Yazio, Foodvisor oder Lifesum<\/a> &middot; 12 Duelle zwischen Konkurrenten.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/tdee-calculator\/\">Kostenloser TDEE-Rechner online<\/a> &middot; dieselbe Logik wie die App, ohne Anmeldung.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/depense-energetique-totale-v2\/\">Den TDEE im Detail verstehen (BMR, NEAT, EAT, TEF, Anpassung)<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/comment-compter-ses-calories\/\">Wie du deine Kalorien richtig z\u00e4hlst<\/a> &middot; praktischer Leitfaden.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/neat-depense-non-sportive\/\">NEAT: Verbrauch pro Schritt und Aktivit\u00e4t au\u00dferhalb des Sports<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/effet-thermique-des-aliments\/\">TEF: die Verdauung verbrennt Kalorien<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/de\/alternative-myfitnesspal\/\">Alternative zu MyFitnessPal: 5 Apps verglichen<\/a>.<\/li>\n  <\/ul>\n<\/section>\n<\/main>\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Vergleichs-Hub ver\u00f6ffentlicht am 22. Mai 2026 vom Lean-Team. Aktualisiert bei jedem neuen 1v1-Vergleich. Lean ist f\u00fcr iOS und Android verf\u00fcgbar.<\/p>\n      <\/div>\n      <div class=\"stores\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\nvar bar = document.getElementById('progBar');\nfunction up(){\nvar h = document.documentElement;\nvar sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\nbar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n}\ndocument.addEventListener('scroll', up, {passive:true});\nup();\n})();\n(function(){\nif (!('IntersectionObserver' in window)) {\ndocument.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\nreturn;\n}\nvar obs = new IntersectionObserver(function(entries){\nentries.forEach(function(e){\nif (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n});\n}, {threshold:0.12});\ndocument.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n(function(){\nvar phoneImg = document.getElementById('phoneImg');\nvar phoneBack = document.getElementById('phoneBack');\nvar zones = document.getElementById('phoneZones');\nvar topTabs = document.querySelectorAll('.phone-tabs button');\nvar navTaps = document.querySelectorAll('.phone-navbar button');\nvar tabMap = {\nbilan:    {drill:false},\nkcal:     {drill:false},\ndepense:  {drill:true},\nstrategie:{drill:false}\n};\nvar subSet = {BMR:1, NEAT:1, EAT:1, TEF:1};\nvar currentTab = 'depense';\nfunction setActive(tab){\ntopTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n}\nfunction showTab(tab){\nvar t = tabMap[tab]; if(!t) return;\ncurrentTab = tab;\nphoneImg.style.opacity = 0;\nsetTimeout(function(){\nphoneImg.className = 'phone-bg tab-' + tab;\nphoneImg.style.opacity = 1;\nzones.style.display = t.drill ? 'block' : 'none';\nphoneBack.classList.remove('on');\n}, 150);\nsetActive(tab);\n}\nfunction showSub(sub){\nif(!subSet[sub]) return;\nphoneImg.style.opacity = 0;\nsetTimeout(function(){\nphoneImg.className = 'phone-bg sub-' + sub;\nphoneImg.style.opacity = 1;\nzones.style.display = 'none';\nphoneBack.classList.add('on');\n}, 150);\n}\nvar hintD = document.getElementById('tapHintDesktop');\nvar hintM = document.getElementById('tapHintMobile');\nfunction hideHints(){\nif (hintD) hintD.classList.add('hidden');\nif (hintM) hintM.classList.add('hidden');\n}\ntopTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\nnavTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\nzones.querySelectorAll('.z').forEach(function(z){\nz.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\nz.addEventListener('keydown', function(e){\nif (e.key==='Enter' || e.key===' ') { e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n});\n});\nphoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();\n<\/script><\/div>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Comparatifs Comparatifs &middot; Hub Tous les comparatifs Lean. Une seule formule qui change tout face aux apps calorie majeures. Chaque tracker traditionnel (MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret) calcule ta d\u00e9pense calorique avec une formule de 1919 ou 1990, sans bodyfat ni adaptation. Voici la comparaison line-by-line, honn\u00eate, sans baratin marketing. [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1382,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1320","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparateurs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Vergleich von Kalorien-Apps: Cronometer, Yazio, FatSecret - Lean<\/title>\n<meta name=\"description\" content=\"Vergleich von Lean mit den 6 gro\u00dfen Kalorien-Trackern. 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