Analysis 05 of 10 Know your course

Which courses have faster, steadier results?

A course average is shaped by who enters. Earlier performances give the comparison more context.

Make the comparison yours

Start with an example

This comparison spans every course with enough data. Refine the runners below.

Refine by age, gender or earlier performance

An earlier time selects a 15-minute band of recorded bests from earlier years.

What the data shows

Compare 21 courses with enough results to show a meaningful range.

Below zero means faster than the earlier benchmark. The 10th–90th percentile range describes outcome variation. Course, field selection, fitness changes and conditions remain mixed together.

Courses with enough coverage · all ages · all recorded categories · all earlier-time bands. Each group shows its own sample size.

Explore the comparison

Outcome and spread by course

Finish-time change (%) · below zero is faster

The line spans the 10th to 90th percentile. The dot marks the median.

Austin
-1.5%
Copenhagen
-0.9%
Warsaw
-0.7%
Oslo
-0.6%
Eindhoven
-0.5%
Valencia
-0.5%
Gold Coast
-0.2%
Chicago
0%
Hamburg
0%
Amsterdam
0.2%
Berlin
0.2%
Rotterdam
0.2%
Sydney
0.2%
London
0.5%
Prague
0.6%
New York
0.7%
Boston
1%
Auckland
1.1%
Washington
1.6%
Madrid
2.3%
Helsinki
2.8%
View exact values and sample sizes
Group10th percentileMedian90th percentile10th percentile: ObservationsMedian: Observations90th percentile: Observations
Austin-13.2%-1.5%10.5%1,0971,0971,097
Copenhagen-10.9%-0.9%12%25,27625,27625,276
Warsaw-9.7%-0.7%11.8%5,0035,0035,003
Oslo-10%-0.6%10.4%3,0673,0673,067
Eindhoven-9.1%-0.5%9.3%3,8073,8073,807
Valencia-8.3%-0.5%10.1%10,66310,66310,663
Gold Coast-10.5%-0.2%13.7%5,5345,5345,534
Chicago-1.1%0%2.5%65,82465,82465,824
Hamburg-8.6%0%10.6%20,98620,98620,986
Amsterdam-8.9%0.2%11.5%12,02212,02212,022
Berlin-9.3%0.2%12.1%116,362116,362116,362
Rotterdam-7.8%0.2%10.9%26,78926,78926,789
Sydney-11.3%0.2%14.7%1,8911,8911,891
London-11.4%0.5%17.5%33,73133,73133,731
Prague-8.8%0.6%13.1%4,6634,6634,663
New York-10%0.7%14.2%129,364129,364129,364
Boston-8.3%1%14%31,33731,33731,337
Auckland-10.1%1.1%11.9%540540540
Washington-9.6%1.6%15.8%48,98148,98148,981
Madrid-6.5%2.3%13.7%5,7395,7395,739
Helsinki-6%2.8%14.4%1,5561,5561,556

How to read this

The dot is the typical change from an earlier best. Left of zero means faster. The line spans the middle 80% of observed results.

Keep in mind

Different fields, fitness changes and race days remain mixed together. This is not a ranking of course difficulty.

How we calculated this

For the same displayed age, gender and prior-time cohort across courses, show the 10th, 50th and 90th percentiles of finish-time change relative to the recent recorded best. Require at least 100 observations and three editions per course. Use identical cohort criteria across the displayed courses. These different runners and editions do not isolate a course effect or provide equivalent-time predictions.

Runner comparison groups contain at least 100 eligible observations. Broader comparisons are labeled; a finish can belong to a runner with several races. Elevation describes the supplied course profile.

We check the raw timings and apply reviewed source-quality rules before forming these groups. Editions with known invalid split grids, incomplete ingestion, unresolved source checks or a selected field are excluded. Missing age or recorded gender alone does not remove an otherwise eligible finish from the overall comparison.

Input data: Marathon results, weather and course data. Read the full methods in source units or browse the marathons, years and data fields.