City Marathon Dashboard
A quick tour through participation, outcomes, pacing, weather in the Chicago Marathon on 12.10.2025. All cards and charts below are drawn from the unofficial results provided on the Chicago Marathon Results page. *DSQ numbers may be reviewed at a point since many people finished but had issues with their bibs.
Total runners
—
Finished
—
Finish rate
—
Median finish
—
Under 4h
—
BQ qualifiers
—
BQ rate
—
DSQ*
—
Countries represented
—
Fastest time
—
Who showed up and how it ended: The distributions of race status and gender('other' means information not available), plus when people entered the course(chip time at start). It is possible to notice at what time runners passed by the start between 9AM and 11AM. It is also noticeable the finish times in blocks of 15 minutes.
Wave dynamics visible as peaks across the morning.
The classic marathon “hump”: where most finishers actually crossed.
Weather sets the stage. Below oen can see the day’s temperature pattern and how median pace evolved across each 5km segment. The blue line represents the weather in Celsius and the pink line represents the "feels like" in Celsius in every block of 15 minutes. Then in the "Median segment pace vs temperature" chart it is possible to note how the weather affected the pace throughout the checkpoints. It was also possible to demonstrate the number of runners that passed each checkpoint at times, also displayed in 15 minutes blocks.
Temperature and “feels like” across the race window.
Median pace (min/km) per 5km segment; temperature sampled at the most common crossing time of the segment end.
How many athletes crossed a checkpoint every 15 minutes, with the matching temperature.
All checkpoints stacked per 15-minute bin; temperature overlaid.
We can identify the countries that were represented in the race and the top 20(number of participants) are displayed in the chart below. The age distribution used by Chicago can be used to show the number of finishers as well as the range. It was also possible to determine, per age group, the number of runners that would hypothetically qualify for Boston(without considering the time buffer). It can also be noticed the number of finishers per country and the representation of that in the total of runners.
Finishers by country’s share of all finishers.
Finishers by region.