Nisha Chandramoorthy
Bib: 12352β’Fβ’Age: 30
Chicago, IL
Race Timeline and Course Information
Your journey through the course with elevation, pacing, and checkpoint details
β±οΈ Race Timeline
Watch your race unfold from start to finish
Splits & Pacing
Detailed breakdown of your race performance at each timing point
Checkpoint Splits
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment Time | Segment Pace | Diff |
|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 07:52:44 | 28:03 | 9:02 | 28:03 | 9:02 | - |
8K | 4.97 mi | 08:09:32 | 44:51 | 9:02 | 16:48 | 9:01 | -0:01 |
10K | 6.21 mi | 08:21:15 | 56:34 | 9:07 | 11:43 | 9:26 | +0:25 |
15K | 9.32 mi | 08:49:53 | 1:25:12 | 9:09 | 28:38 | 9:13 | -0:13 |
FINISH | 13.11 mi | 09:25:57 | 2:01:16 | 9:16 | 36:04 | 9:32 | +0:19 |
Checkpoint Splits Visualizations
Explore your race data through different visual perspectives. Scroll to discover each visualization.
πPace 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
9:01 /mi
Average Pace
9:15 /mi
Slowest Pace
9:32 /mi
πSegments
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
1:25:12
70% of race
Time at Steady Pace
36:04
30% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 9:15 /mi
π¨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.
Click or hover over segments to see details
β¨Sparklines
Checkpoint Splits with Pace Trends
Enhanced split table showing pace trends through mini sparkline visualizations.
Overall Pace Trend
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment | Pace | Trend | Rank |
|---|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 07:52:44 | 28:03 | 9:02 | 28:03 | 9:02 | #3342 | |
8K | 4.97 mi | 08:09:32 | 44:51 | 9:02 | 16:48 | 9:01 | #3357 | |
10K | 6.21 mi | 08:21:15 | 56:34 | 9:07 | 11:43 | 9:26 | #3502 | |
15K | 9.32 mi | 08:49:53 | 1:25:12 | 9:09 | 28:38 | 9:13 | #3495 | |
FINISH | 13.11 mi | 09:25:57 | 2:01:16 | 9:16 | 36:04 | 9:32 | #3642 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F30-34 | Seg. Overall | Seg. Females | Seg. F30-34 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 3342 | 960 | 211 | 3547(Top 37%) | 1043(Top 22%) | 236(Top 25%) |
| 8K | 4.97 mi | 1.86 mi | 3357-15 | 956+4 | 212-1 | 3524(Top 37%) | 1018(Top 22%) | 225(Top 23%) |
| 10K | 6.21 mi | 1.24 mi | 3502-145 | 1013-57 | 229-17 | 4108(Top 43%) | 1278(Top 27%) | 277(Top 29%) |
| 15K | 9.32 mi | 3.11 mi | 3495+7 | 1008+5 | 229 | 3547(Top 37%) | 1043(Top 22%) | 236(Top 25%) |
| FINISH | 13.11 mi | 3.79 mi | 3642-147 | 1091-83 | 248-19 | 3910(Top 41%) | 1239(Top 26%) | 276(Top 29%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
3547
Females
1043
F30-34
236
5Kβ8K
3.1 - 5.0 mi
Overall
3524
Females
1018
F30-34
225
8Kβ10K
5.0 - 6.2 mi
Overall
4108
Females
1278
F30-34
277
10Kβ15K
6.2 - 9.3 mi
Overall
3547
Females
1043
F30-34
236
15KβFINISH
9.3 - 13.1 mi
Overall
3910
Females
1239
F30-34
276
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Passing
Athletes you passed and who passed you throughout the race
Passing Analysis
| Segment | Athletes Passed | Passed By | Net Change | Start Rank | End Rank |
|---|---|---|---|---|---|
| Start β 5K | - | - | - | - | #3342 |
| 5K β 8K | 91 | 106 | -15 | #3342 | #3357 |
| 8K β 10K | 28 | 173 | -145 | #3357 | #3502 |
| 10K β 15K | 120 | 113 | +7 | #3502 | #3495 |
| 15K β FINISH | 76 | 223 | -147 | #3495 | #3642 |
| TOTALS | 315 | 615 | -300 |
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Passing Analysis Visualizations
Explore your passing analysis through 5 different visualizations. Scroll to discover each one.
πPosition Graph
π¨Heatmap Timeline
πPassing Circle
πPosition Flow
πRace Lanes
Activity Data
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Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
