Pairwise course analysis

RL 5K Coursevs.Canterbury School 5K

Based on runners who competed on both courses during the same season. Positive values mean the second course ran slower; negative values mean it ran faster.

Model verdict

Canterbury School 5K runs faster

-4.40%

Roughly 52.9 seconds faster for a 20:00 runner

Paired observations

16

Developing evidence

Median difference

-2.83%

Middle runner-season comparison

Overall estimate

-4.40%

Network-adjusted course estimate

Middle 50% range

+3.60%

Observed variation (IQR)

Direction and magnitude

Relative course speed

Canterbury School 5K fasterEvenCanterbury School 5K slower

Confidence interval

-5.07% to -1.77%

Scale shown

-6% to +6%

Underlying runner comparisons

Same-season evidence

Each row represents one runner-season with valid results on both courses. Median performances reduce the effect of one unusually good or poor race. JV and varsity results are included.

RunnerSeasonRL 5K CourseCanterbury School 5KDifference
Lorenzo Johnson202221:09.001 race19:15.001 race-8.98%
Kamran Bradley202224:10.001 race22:00.001 race-8.97%
Brandon Spector-Townsend202222:10.001 race20:33.001 race-7.29%
Daniel Reyes202222:57.001 race21:37.001 race-5.81%
Quinn Mullaney202226:32.001 race25:15.001 race-4.84%
Eben Dooling202223:39.001 race22:32.001 race-4.72%
Katalin (Kata) Clark202221:18.001 race20:19.001 race-4.62%
Adyson Duval202226:09.001 race25:16.001 race-3.38%
Zebediah Stewart202220:29.001 race20:01.001 race-2.28%
Armaun Dehpanah202222:15.001 race21:46.001 race-2.17%
Peyton Dahmen202222:34.001 race22:09.001 race-1.85%
Zoe Wilmerding202223:52.001 race23:27.001 race-1.75%
Forrester Clark202218:47.001 race18:31.001 race-1.42%
Lauren Puglia202226:05.001 race26:09.001 race+0.26%
David Jiang202226:35.001 race26:54.001 race+1.19%
Eliza Barker202226:46.001 race27:26.001 race+2.49%