Original research
What 375,000 days of training data actually show
Five questions. Five measured answers.
Each study includes its cohort, method and limitations.
S1
22,42222,42222,42222,422daily predictions
Garmin race predictor: what 22,422 daily predictions show
All our athletes got a steeper slowdown curve than the textbook formula predicts.
our athletes · 22,422 prediction-days
S2
0.0560.0560.0560.056median correlation
Does Training Readiness predict how a run goes?
Median within-athlete correlation with running efficiency: 0.056. Effectively nothing.
our athletes · 5,136 runs
S3
0.20.20.20.2points per change
How much does Garmin move your VO2 max?
It changes about every sixth day — by 0.2 points. A year of training moves it 2.0.
our athletes · 180+ days each
S4
98%98%98%98%of athletes agree
Body Battery, HRV and sleep score: three metrics or one?
They agree for 98% of athletes. Largely one signal wearing three interfaces.
our athletes · 30+ paired days each
S5
0.040.040.040.04median correlation
Does last night’s sleep score predict today’s run?
Median correlation 0.04 across 7,492 runs. The control worked; the signal was not there.
our athletes · 7,492 runs
Run the numbers on yourself
- 5Kinput
- 20:00
- 10K
- 41:42
- Half marathon
- 1:32:00
- Marathon
- 3:11:49
Running · 1 min · Free
Race pace predictor
What could I run at another distance?
- You bring
- One race time
- You get
- Finish times and paces
ml/kg/min
Point estimate. The tool shows the range around it.
Running · 2 min · Free
VO2 max estimator
How large is my aerobic engine?
- You bring
- One field test
- You get
- A VO2 max range
Using these numbers
Cite them freely with a link back. Read the caveats first; every result has real limits.
Questions, corrections, or a dataset worth testing: hello@gneta.app