Age Grade Calculator — 2025 USATF Road Tables

What Age Grading Does

An age-graded percentage answers one question: how close is this run to the best anyone of your age and sex has ever run the distance?

Age grade % = standard for your age / your time × 100

A 42-year-old man running 3:30 for the marathon is not comparable to a 25-year-old running 3:30 in any useful sense, and a finishing position does not fix that. Age grading rescales both onto one axis, which is why masters results, parkrun, and most club championships are scored on it.

The second number this page gives you is the same factor used the other way round:

Open-class equivalent = your time × age factor

That is what your run would be worth in your twenties. It is the number to quote when someone asks what shape you are in, because it strips the thing you cannot train away.

Which Tables These Are

There is no single set of age-grading factors. There are editions, and they disagree.

This calculator uses the 2025 road tables, compiled by Alan Jones with single-age bests supplied by Tom Bernhard, approved on 10 January 2025 by the Masters Long Distance Running Council of USA Track & Field. They replaced the 2020 edition, which replaced 2015, which replaced 2010 — and each revision moved the numbers, because each was refitted to the records that existed when it was built.

That matters more than it sounds. The open-class standards the 2025 tables are built on are the current world bests: 2:00:35 for the men's marathon, 2:09:56 for the women's. Both were set after the 2020 tables were published. Grade a run on an older table and you are measuring it against a world that no longer exists, which is why the same time can come out one or two percentage points apart depending on which calculator you used.

The factors here were read directly out of the source workbooks, then checked cell by cell against the reference implementation that USATF points at. All 4,224 factors and all 44 open-class standards agree exactly.

Road, Not Track

These are road factors. Track age grading uses a separate set of WMA tables with different values, because a 5,000 m on a track and a 5 km on the road are not the same event. If you want to grade a track performance, this is the wrong tool and the answer will be wrong by more than rounding.

The Plateau Nobody Mentions

Between roughly ages 19 and 29 the factor is exactly 1.0000 for most distances. Inside that window age grading does nothing at all — your percentage is simply your time against the world best, and the grading machinery is idle.

This is why a fast 25-year-old gets no "credit" and sometimes assumes the calculator is broken. It is not. The tables hold the plateau flat because performance does not measurably decline across those years, and inventing a curve there would be fitting noise.

Where the Factors Stop Being Clean

Two honest caveats about the dataset, neither of which you will find on a calculator that copied its numbers from another calculator.

The ultra distances are the marathon's factors. 50 km through 200 km carry exactly the same age factor as the marathon, at every age, for both sexes. Not an approximation of it — the identical number. There is no separate ultra aging curve in these tables, because the single-age best performances needed to fit one do not exist in sufficient quantity. Grading a 100 km is therefore an extrapolation, and anyone claiming an ultra age-grade to two decimal places is quoting the marathon.

The workbook disagrees with itself at age 5. The 2025 workbooks publish both age factors and age standards in seconds, and those two sheets should be related by standard = open standard / factor. In 4,206 of 4,224 cells they are. In 18 they are not: every male cell at age 5 for distances of 4 miles and longer, plus one female cell at age 100 for 10 km. The disagreement reaches 38% at the marathon. This calculator uses the factor sheet, because that is what the reference implementation uses, so results match every other table-based calculator — but a five-year-old's marathon age grade is not a number anyone should rely on, and now you know why.

Reading the Percentage

The bands below are a convention of the masters-athletics community, not something the tables define:

They are useful shorthand and they are not thresholds from the source. A 78% is not meaningfully different from an 81%, and no selection committee anywhere works off these names.

The one genuinely robust use of the percentage is comparing your own runs to each other. Across distances, across years, across the decade when your absolute times get slower and your fitness does not: the percentage holds those together in a way a PB list cannot.

Equivalents Are Not Predictions

The table of other distances on this page shows the time that scores the same percentage. That is not a race prediction.

A prediction has to model what happens to you as the distance grows — glycogen, pacing discipline, thermoregulation, how much long running you have actually done. Age grading models none of it. If your 5 km grades at 72% and your marathon grades at 64%, the honest conclusion is that your marathon is underdeveloped relative to your speed, not that the tables are inconsistent. For an actual prediction use the marathon race predictor, which is built for the question.

Age on Race Day

The factor is indexed by your age in whole years on the day you raced, not your age group, and not your age now. A 49-year-old racing in December and turning 50 in January grades as 49. Masters age groups are five-year bands; these factors are single-year, which is most of the reason a single-year table beats an age-group one.