Public Race Data

Chicago Event Management

Chicago Event Management

Jonelle Oleary

Bib: 293 β€’F β€’Age: 35

Chicago, IL

Chicago 13.1 logo
0:00
0:00
/ mi
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Overall
#0 / 3708
Top 15%
Gender (Female)
#0 / 1805
Top 6%
Age Group (F35-39)
#0 / 276
Top 6%
Race Day Weather
74Β°/64Β°F
scattered clouds

Race Timeline and Course Information

Your journey through the course with elevation, pacing, and checkpoint details

⏱️ Race Timeline

Watch your race unfold from start to finish

Start
0:00:00
Race begins
5K
23:14
3.11 mi
Rank: #428
Start β†’ 5K
23:14 | 7:29/mi
8K
37:50
4.97 mi
Rank: #463 (-35)
5K β†’ 8K
14:36 | 7:50/mi
10K
47:44
6.21 mi
Rank: #493 (-30)
8K β†’ 10K
9:54 | 7:58/mi
15K
1:15:12
9.32 mi
Rank: #537 (-44)
10K β†’ 15K
27:28 | 8:51/mi
FINISH
1:43:20
13.11 mi
Rank: #549 (-12)
15K β†’ FINISH
28:08 | 7:26/mi

Splits & Pacing

Detailed breakdown of your race performance at each timing point

Checkpoint Splits

CheckpointDistanceTime of DayTimeAvg PaceSegment TimeSegment PaceDiff
5K
3.11 mi07:24:4023:147:2923:14
7:29
-
8K
4.97 mi07:39:1637:507:3714:36
7:50
+0:21
10K
6.21 mi07:49:1047:447:419:54
7:58
+0:08
15K
9.32 mi08:16:381:15:128:0527:28
8:51
+0:53
FINISH
13.11 mi08:44:461:43:207:5328:08
7:26
-1:25

Checkpoint Splits Visualizations

Explore your race data through different visual perspectives. Scroll to discover each visualization.

πŸ“ˆPace Line

Pace Progression

Track your pace changes throughout the race. Dot colors mark your quickest to easiest segments, relative to your own pace.

Fastest Pace

7:26 /mi

Average Pace

7:53 /mi

Slowest Pace

8:51 /mi

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Fastest
Middle
Slowest
Average

πŸ“ŠSegments

Segment Time Comparison

Bar length shows time spent in each segment. Colors mark your faster to slower segments, relative to your own pace.

Time at Faster Pace

1:15:52

73% of race

Time at Steady Pace

0:00

0% of race

Time at Slower Pace

27:28

27% of race

Average Pace: 7:53 /mi

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Faster pace (< avg)
Steady pace (β‰ˆ avg)
Slower pace (> avg)

🎨Heatmap

Pace Heatmap

Where you sped up and eased off relative to your own pace across the race. Colors are relative to your own range, not to other runners.

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0mi3.3mi6.6mi9.8mi13.1mi
Pace:
Faster
Steady
Slower

Click or hover over segments to see details

✨Sparklines

Checkpoint Splits with Pace Trends

Enhanced split table showing pace trends through mini sparkline visualizations.

Overall Pace Trend

CheckpointDistanceTime of DayTimeAvg PaceSegmentPaceTrendRank
5K
3.11 mi07:24:4023:147:2923:14
7:29
#428
8K
4.97 mi07:39:1637:507:3714:36
7:50
#463
10K
6.21 mi07:49:1047:447:419:54
7:58
#493
15K
9.32 mi08:16:381:15:128:0527:28
8:51
#537
FINISH
13.11 mi08:44:461:43:207:5328:08
7:26
#549
Faster pace
Steady pace
Slower pace

Rankings

Your position at each checkpoint and how you ranked in each segment

Checkpoint and Segment Rankings

CheckpointDistanceSeg. DistOverallFemalesF35-39Seg. OverallSeg. FemalesSeg. F35-39
5K3.11 mi3.11 mi4288313637(Top 17%)140(Top 8%)17(Top 6%)
8K4.97 mi1.86 mi463-3592-916-3540(Top 15%)113(Top 6%)18(Top 7%)
10K6.21 mi1.24 mi493-3096-417-1679(Top 18%)149(Top 8%)19(Top 7%)
15K9.32 mi3.11 mi537-44111-1517637(Top 17%)140(Top 8%)17(Top 6%)
FINISH13.11 mi3.79 mi549-12116-517611(Top 16%)136(Top 8%)19(Top 7%)

Passing

Athletes you passed and who passed you throughout the race

Passing Analysis

Category:
Athletes Passed
48
Passed By
169
Net Change
-121
SegmentAthletes PassedPassed ByNet ChangeStart RankEnd Rank
Start β†’ 5K----#428
5K β†’ 8K641-35#428#463
8K β†’ 10K131-30#463#493
10K β†’ 15K1155-44#493#537
15K β†’ FINISH3042-12#537#549
TOTALS48169-121
πŸ“Š

Passing Analysis Visualizations

Explore your passing analysis through 5 different visualizations. Scroll to discover each one.

Time:
Category:

πŸ“ˆPosition Graph

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🎨Heatmap Timeline

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πŸ”„Passing Circle

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🌊Position Flow

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πŸƒRace Lanes

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Activity Data

Upload your GPX file to see detailed activity metrics

Upload your GPX file

Supports Garmin, Apple Watch, Polar, Suunto, COROS, Strava, and other apps

.gpx files up to 10MB

Export & Support

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Questions or issues regarding timing data?

If you notice any discrepancies in your timing data or have questions about your results, our support team can help.

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