Category

Zones & Thresholds

Zone 2, LT1/LT2, FTP, CTL/ATL/TSB, polarized vs pyramidal, aerobic decoupling.

21 articles · sorted by most recent

General Endurance

Cardiac Output vs Stroke Volume: Why Two Athletes With the Same VO2max Race Differently

Two athletes can both post a 55 VO2max, yet one has a 187 mL stroke volume and the other gets there by extraction. Same number, different engine.

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AO
AthleteOS Data Science
Cycling

Critical Power vs FTP for Ironman Bike Pacing: Which Number to Use Outdoors

Critical Power runs about 7 watts higher than FTP on average, and outdoors that gap can overcook your Ironman bike leg. Here's which number to pace by.

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AO
AthleteOS Data Science
Running

Why Does Running Economy Vary 30% Between Runners With the Same VO2max?

Running economy can vary up to 30% between runners with identical VO2max, enough to separate a 3:05 marathon from a 3:35. Here's what actually moves it.

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AO
AthleteOS Data Science
General Endurance

Critical Speed vs FTP: How the Dual-Sport Threshold Unifies Your Running Pace and Cycling Power Zones

Running critical power overestimates cycling critical power by 20%, explaining just 27% of its variance. One threshold number does not convert across sports.

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AO
AthleteOS Data Science
Running

Why VO2max and Lactate Threshold Both Decline After 90 Minutes (The Dual Squeeze)

By mile 21, your VO2max has dropped 7.1% and your lactate threshold speed has fallen 6.6% — yet your pace is the same. That gap is why marathons fall apart.

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AO
AthleteOS Data Science
General Endurance

Long vs Short VO2max Intervals: What the 2024 Research Actually Shows

4×3min intervals at 95% vVO2max produced 63% more time above 90% VO2max than 24×30s efforts — yet both felt equally hard. Here's what that means for your next hard session.

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AO
AthleteOS Data Science
Cycling

Anaerobic Capacity (W'): Why Your 30-Second Power Matters for a 4-Hour Race

W' (W prime) is your finite anaerobic reserve above critical power — trained cyclists average 12.7 kJ, and burning it wrong on lap 1 of a 4-hour race costs you the run.

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AO
AthleteOS Data Science
Running

Track vs Treadmill Lactate Testing: Why Your Zones Don't Transfer Surface to Surface

Treadmill lactate tests run 1.0–3.7 mmol/L lower than track tests at the same pace. That translates to threshold zones that are 7–8 s/km off — enough to train in the wrong gear for months.

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AO
AthleteOS Data Science
Cycling

VO2max Intervals That Fail at the Muscle, Not the Lungs: The Peripheral Limiter Problem

Most cyclists quit VO2max intervals because their legs fail, not their lungs. The Fick equation explains why — and the fix requires knowing which side of the equation limits you.

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AO
AthleteOS Data Science
Cycling

Sweet Spot Training Is Not Zone 2 and Not VO2max: Why the Middle Zone Is Both Overused and Misunderstood

Sweet spot (88–93% FTP) isn't Zone 2 and isn't threshold. After 8–12 weeks, research shows threshold-heavy training produces zero significant gains in well-trained athletes — here's what to do instead.

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AO
AthleteOS Data Science
General Endurance

How Do I Calculate My Max Heart Rate? Why 220-Age Is Wrong

The 220-age formula was never validated. Its standard error is 12.4 bpm — meaning 1 in 20 people are off by more than 24 bpm. Here's what to use instead.

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AO
AthleteOS Data Science
Running

Why Am I Always in Zone 4? The Most Common Beginner Heart-Rate Mistake (And How to Fix It)

You're stuck in Zone 4 because your zone targets are almost certainly wrong — the 220-age formula has a ±22 bpm individual error that shifts every zone boundary by 10–15 bpm.

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AO
AthleteOS Coaching Team
Cycling

The Zone 3 Trap: Why Most Amateur Cyclists Lose a Full Season in the Grey Zone

Amateur cyclists spend 25–45% of training time in Zone 3 (76–90% FTP). Elites keep it under 11%. That gap explains a year of stalled fitness.

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AO
AthleteOS Data Science
Triathlon

CTL Benchmarks for Ironman: What Fitness Score You Need for Your Finish Time

A sub-10-hour Ironman typically requires a race-day CTL of 120. Sub-9 hours needs 145–150. Here are the benchmarks, the ramp rate rules, and TSB taper targets by athlete tier.

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AO
AthleteOS Data Science
Triathlon

Aerobic Decoupling: The Number That Tells You If Your Base Is Actually Working

Aerobic decoupling measures how much your heart rate drifts relative to pace or power. Below 5% means a race-ready aerobic base. Above 10% means your engine is leaking.

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AO
AthleteOS Data Science
General Endurance

Polarized vs Pyramidal Training: The Research Has a Surprising Answer

Two 2024/2025 meta-analyses found no significant difference between polarized and pyramidal overall (SMD=-0.06). The better question is which model fits your athlete level and event distance.

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AO
AthleteOS Coaching Team
General Endurance

VO2max Intervals: The 4x4 Rule and What Most Athletes Get Wrong

The Norwegian 4x4 protocol raised VO2max 7.2% in 8 weeks vs 1.8% for easy running. Most athletes do these sessions too often, too short, and at the wrong pace.

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AO
AthleteOS Coaching Team
Cycling

Zone 2 vs LT1: Why the 60–70% HRmax Definition Is Wrong

The '60–70% HRmax = Zone 2' shortcut is physiologically wrong. LT1 — your real Zone 2 ceiling — spans 69–94% HRmax across trained athletes. Here's how to find yours.

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AO
AthleteOS Coaching Team
Methodology

CTL, ATL, and TSB: The Mathematical Foundation of Training Load

CTL, ATL, and TSB are the three numbers that tell you whether to push harder or back off. Here's the math behind them and what they mean for your Ironman preparation.

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AO
AthleteOS Data Science
Methodology

TSS vs TRIMP: Which Training Load Metric Should You Use?

TSS uses power data; TRIMP uses heart rate. For multi-sport athletes managing three disciplines, the choice of metric determines whether your training load model is accurate or dangerously misleading.

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AO
AthleteOS Coaching Team
General Endurance

Zone 2 Training: The Science Behind Slow Riding Making You Faster

Zone 2 is the physiological foundation of every elite endurance program. Here's the mitochondrial biology, the 80/20 data, and precise definitions that separate productive Zone 2 from glorified recovery.

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AO
AthleteOS Data Science

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