How Pro Cyclists Get So Lean - What Amateurs Don’t Know

Overview

Tim Podlar, a performance nutritionist who works with pro cycling teams, dismantles the myth that world‑tour cyclists live at unrealistically low body‑fat levels. He describes the peloton as a workshop of finely tuned machines: most riders are lean because nutrition is tightly controlled, and the main differences between roles are muscle mass and how that muscle is managed for power versus watts/kg. Climbers often trim muscle to chase watts/kg, classics riders are now as lean as climbers but keep more muscle for brute power, and sprinters remain the bulkiest.

Opening: myth versus reality

• Tim rejects sensationalist claims (for example, that riders sit at 5% body fat).
• His team uses skinfold measures rather than DEXA and sees widespread leanness across disciplines.
• Early takeaway: leanness is common; role‑specific muscle mass is the primary visible difference.

Power, weight and practical trade‑offs

• Adding muscle increases absolute power (useful for classics riders and sprinters).
• Losing mass can improve watts/kg but dieting often temporarily reduces accessible power because athletes are in an energy deficit.
• Analogy: early days of a diet can feel like sprinting with an empty glycogen tank — numbers fall until a new maintenance level is reached and power returns.
• Rule of thumb: avoid daily energy deficits larger than about 500–700 kcal, especially before or after a hard session, because recovery and subsequent performance suffer.

How he models daily and session energy — a simple spreadsheet approach

Tim recommends a stepwise, practical method:

1. Use power‑meter kilojoules (often treated 1:1 as kcal) for exercise energy cost.
2. Add a resting metabolic rate (RMR) estimate (Harris‑Benedict or similar), but count RMR only for the non‑exercise hours.
3. Multiply RMR by ~1.2–1.4 to account for non‑exercise activity and digestion.
4. Think in windows from one training session to the next (session‑to‑session 24‑hour blocks), not midnight‑to‑midnight.

Caveats: individual efficiency, daily non‑exercise activity, and post‑exercise metabolic effects create substantial error. The session‑to‑session framing helps “fuel for the work required” — fully fuelling key intervals while accepting controlled deficits on easy days.

Where to create deficits without wrecking adaptations

• For most amateurs doing 1–2 hour rides, skipping a small breakfast and reallocating those calories to after the ride can work.
• For multi‑hour pro‑style rides, fasted sessions can create too large a deficit.
• Common trap: skipping intra‑ride fuelling to save calories leads to glycogen crash and bingeing post‑ride — a counterproductive strategy.

Intra‑ride fueling and gut limits — individualization is essential

• Carbohydrate ingestion during rides must match the session goal. Fuel hard sessions to hit top efforts; accept modest deficits on easy rides but not so severe that recovery suffers.
• Absorption varies hugely between athletes:
  • Some oxidize only ~30 g/h of glucose.
  • Others can tolerate much more.
  • Combined glucose+fructose can reach 150–180 g/h in tolerant athletes.
• The gut (intestinal absorption/transporters) is often the limiting factor more than gastric emptying.
• Training the gut is plausible (rodent and some human evidence, especially for fructose transporters), but strong human intervention trials are sparse.
• Warning: overloading carbs during exercise can sometimes increase muscle glycogen use rather than spare it.

Fat oxidation (fatmax) and metabolic strategy

• Fatmax is the exercise intensity at which fat oxidation (g/min) peaks.
• Fat‑burning capacity grows with fitness and higher aerobic capacity rather than from a single “fatmax training” trick.
• You can reduce fuelling on low‑intensity days to create metabolic stimulus, but excessive deficits harm recovery. Balance stimulus and session quality.

Supplements, flavor fatigue and small practical touches

• Tim is skeptical of routine ketone use; he prefers better food, skilled chefs, and basic recovery inputs over marginal‑gain supplements.
• For race‑day palatability he mentions Haribo as a cheap, easy carb source that riders will actually eat — useful for flavor fatigue but not for weight‑loss phases.
• Real‑world quirks: seasonal body composition changes, race calendar and support roles affect how much fat riders carry (helpers who race year‑round often carry a bit more fat than GC contenders who peak for targeted events).

Monitoring, red flags and coaching judgment

Useful monitoring recommendations:

• A running history of skinfolds to know an athlete’s best competitive composition.
• Morning body‑mass trends: large sudden drops suggest glycogen/fluid loss; unexplained increases can signal poor recovery and fluid retention.
• Hormonal checks (testosterone and others) for pro‑level monitoring.
• Subjective questions — e.g., “how are the legs?” — which provide immediate, valuable feedback.

Limits to analytics:

• Efficiency varies widely (lab measures ~18–24%).
• Doubly labelled water can overestimate needs.
• Environmental and life factors (humidity, childcare, non‑exercise activity) change energy turnover.
• Coaching remains part science, part art; experienced coaches iterate rapidly and combine subjective feedback with data.

Closing: the bigger picture for ambitious amateurs

Tim’s practical bottom line:

• Match fuelling to the session: fuel hard sessions, accept manageable deficits on easy days.
• Avoid extreme calorie cuts that block recovery.
• Individualize intra‑ride carbohydrate strategies by trial and, if available, lab testing.
• Use simple monitoring (skinfold history, morning weight, subjective recovery) to avoid pushing too far.
• Be patient: performance gains come from thoughtful, iterative tuning, not dramatic short‑term dieting.

Presenters, sources and examples

• Host: Roman (Roman Podcast)
• Guest: Tim Podlar (exercise physiologist / performance nutritionist; associated with pro cycling teams)
• Referenced researchers / works:
  • Dr. Sam Impey — “Fuel for the Work Required”
  • Harris‑Benedict equation (RMR estimation)
  • Doubly labelled water studies
  • Isotope breath tests for ingested carbohydrate oxidation
  • Rodent and human studies on fructose/glucose transporters and gut training
• Examples / athletes mentioned: Tadej Pogačar, Remco, Cameron Jones, Mads Pedersen, Demi Vollering (appears as “Demi Bing” in transcript)
• Products / brands mentioned: Haribo, Nomio, Shopify