A *positive split* (red) is when the second half is slower than the first (e.g., 2:00 first half vs 2:30 second half). A *negative split* (green) is the opposite. We defined *even splits* as halves within ±2% of each other (yellow).
Each point shows a runner’s first‑half vs second‑half time from the 2025 Richmond Marathon. The fastest finishers (Boston‑qualifying times, blue) cluster tightly near the even‑split diagonal, while the overall field shows a much wider distribution with many large positive splits
Zigxy on
Oof
Someone ran 1:29 first half and 3:06 second half.
I’ve had (non marathon) runs like that. Must have felt like poop.
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* Data source: direct from listing site [https://www.richmondmarathon.org/results/year-by-year-results/](https://www.richmondmarathon.org/results/year-by-year-results/)
* Tools: R and ggplot2
Full analysis: [https://rivercitydatascience.com/analysis/rva-marathon/](https://rivercitydatascience.com/analysis/rva-marathon/)
A *positive split* (red) is when the second half is slower than the first (e.g., 2:00 first half vs 2:30 second half). A *negative split* (green) is the opposite. We defined *even splits* as halves within ±2% of each other (yellow).
Each point shows a runner’s first‑half vs second‑half time from the 2025 Richmond Marathon. The fastest finishers (Boston‑qualifying times, blue) cluster tightly near the even‑split diagonal, while the overall field shows a much wider distribution with many large positive splits
Oof
Someone ran 1:29 first half and 3:06 second half.
I’ve had (non marathon) runs like that. Must have felt like poop.