How the numbers are made
Methodology
Every number on this site comes from one model — distance × goal time × split strategy — with exact constants and stated assumptions. This page documents the conversions, the split maths (including the partial final split most charts get wrong), the negative-split distribution, and the incline model with its honest limitations.
- Mile
- 1,609.344 m (exact)
- Marathon
- 42.195 km = 26.219 mi
- Flat running cost
- 3.6 J/kg/m
- Rounding
- largest remainder
Pace and speed conversions
All conversions go through the exact international mile of 1,609.344 metres and pure multiplication or division, so round-trips carry no drift beyond float epsilon — converting min/mile → mph → min/km → min/mile returns the value you started with.
mph = 3600 ÷ seconds-per-mile
km/h = mph × 1.609344
seconds-per-km = seconds-per-mile ÷ 1.609344
e.g. 9:30/mi = 570 s → 3600 ÷ 570 = 6.32 mph → × 1.609344 = 10.16 km/h
Splits and the partial final split
A marathon is 42.195 km — 26.219 miles, not 26.2. Mile splits are therefore 26 full miles of 1,609.344 m plus a final partial split of 352.056 m (0.219 mi); kilometre splits are 42 full kilometres plus 195 m. Distances that are exact multiples — a 5K in kilometres, a 10K in kilometres — produce no partial split.
Each split’s raw time is its share of the goal time weighted by length; the partial final split gets exactly its proportional share. The raw times are then converted to whole seconds with largest-remainder rounding: every split is floored, and the leftover seconds are handed out to the splits with the largest fractional remainders. The result: every split is a whole number of seconds, and the splits always sum exactly to the goal time — the cumulative clock lands on your goal to the second, never 3:59:58 or 4:00:01.
marathon mile splits: 26 × 1609.344 m + 352.056 m = 42195 m
raw-time(i) = goal × length(i) × weight(i) ÷ Σ length(j) × weight(j)
seconds = floor(raw) + largest-remainder allocation of the leftover
Σ seconds ≡ goal time, exactly
Negative-split distribution
The even / −1% / −2% options apply a linear drift across the splits: split i gets weight 1 + d·(c − i), where c is the middle split and d = f/(n−1) for a target first-to-last differential f. The first split is the slowest, the last the fastest, and the differential between them is about f (1% or 2%). Times are then scaled to the goal and apportioned exactly as above — a negative-split plan never changes your finish time, only its shape.
weight(i) = 1 + d × ((n−1)/2 − i), d = f ÷ (n−1)
f = 0 (even) · 0.01 (−1%) · 0.02 (−2%)
first split ≈ (1 + f/2) × average · last split ≈ (1 − f/2) × average
Checkpoints inside longer races
5K, 10K and halfway times within a longer race are interpolated from the split list: the clock time at any course point is the previous split boundary plus the proportional share of the split in progress, assuming even effort within each split. At split boundaries the value is exact.
The incline model — and what it is not
The treadmill chart’s effective flat pace uses the running energy-cost curve fitted by Minetti, Ardigò and Saibene (2002), “Energy cost of walking and running at extreme uphill and downhill slopes” (Journal of Applied Physiology 93: 1039–1046). The paper fits gross energy cost C(i), in joules per kilogram per metre, to treadmill grade i expressed as a fraction:
C(i) = 155.4i⁵ − 30.4i⁴ − 43.3i³ + 46.3i² + 19.5i + 3.6
C(0) = 3.6 J/kg/m · C(0.05) = 4.69 · C(0.10) = 5.97
effective-flat-pace = belt-pace × C(0) ÷ C(i)
The reasoning: at equal energy cost, flat speed and graded speed relate by v_flat = v_grade × C(i)/C(0), so the flat-equivalent pace is the belt pace scaled by C(0)/C(i). The companion finding we rely on for the 1% rule is Jones and Doust (1996), “A 1% treadmill grade most accurately reflects the energetic cost of outdoor running” (Journal of Sports Sciences 14: 51–60): at typical training speeds, a 1% grade reproduces the oxygen cost of outdoor flat running, compensating for the missing air resistance.
What this is not. It is a group-level energetic equivalent fitted from a small sample (eight trained male runners in the original study), not a prediction of your personal effort, heart rate or perceived exertion. Running economy varies meaningfully between individuals, especially on hills; treadmill belt mechanics differ subtly from overground running; and the energy-cost approach says nothing about downhill grades’ eccentric loading. The model is well validated for grades up to about 15% in trained runners, which covers treadmill use — treat the output as a planning tool for comparing sessions, not as precise physiology.
Training paces and prerequisite times
Goal pages show two kinds of context, both labelled as rules of thumb. Implied training paces use standard coaching offsets from race pace (easy running 90–210 s/mi slower depending on distance, tempo 10–30 s/mi either side, long runs 30–150 s/mi slower). Prerequisite performances use the equivalences runners actually plan with: marathon ≈ 2 × half + ~12 minutes, half ≈ 2.2 × 10K, 10K ≈ 2 × 5K + ~90 seconds. These frame whether a goal is realistic today — they are not race predictions, and we deliberately do not build a predictor or a training plan around them.
What we don’t do
No VO₂max modelling, no race prediction beyond the rules of thumb above, no training plans, no accounts and no email gates. The product is the chart, the splits and the printable band; everything on this page exists so you can trust those numbers.
The charts
Questions about a specific number? The arithmetic block under every chart expands the formula with your own goal’s values substituted in. Back to the charts.