Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
Brandy Ekle
Bib: 7239 •F •Age: 35
Sandwich, IL
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
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 | 08:08:47 | 44:09 | 14:13 | 44:09 | 14:13 | - |
8K | 4.97 mi | 08:34:25 | 1:09:47 | 14:03 | 25:38 | 13:46 | -0:27 |
10K | 6.21 mi | 08:51:11 | 1:26:33 | 13:56 | 16:46 | 13:30 | -0:16 |
15K | 9.32 mi | 09:37:45 | 2:13:07 | 14:17 | 46:34 | 15:00 | +1:30 |
FINISH | 13.11 mi | 10:32:31 | 3:07:53 | 14:20 | 54:46 | 14:28 | -0:32 |
Checkpoint Splits Visualizations
Explore your race data through different visual perspectives. Scroll to discover each visualization.
📈Pace 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
13:30 /mi
Average Pace
14:20 /mi
Slowest Pace
15:00 /mi
📊Segments
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
2:21:19
75% of race
Time at Steady Pace
46:34
25% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 14:20 /mi
🎨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
✨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 | 08:08:47 | 44:09 | 14:13 | 44:09 | 14:13 | #9251 | |
8K | 4.97 mi | 08:34:25 | 1:09:47 | 14:03 | 25:38 | 13:46 | #9209 | |
10K | 6.21 mi | 08:51:11 | 1:26:33 | 13:56 | 16:46 | 13:30 | #9153 | |
15K | 9.32 mi | 09:37:45 | 2:13:07 | 14:17 | 46:34 | 15:00 | #9163 | |
FINISH | 13.11 mi | 10:32:31 | 3:07:53 | 14:20 | 54:46 | 14:28 | #9062 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F35-39 | Seg. Overall | Seg. Females | Seg. F35-39 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 9251 | 4507 | 603 | 9101(Top 96%) | 4400(Top 93%) | 594(Top 93%) |
| 8K | 4.97 mi | 1.86 mi | 9209+42 | 4468+39 | 598+5 | 8989(Top 94%) | 4312(Top 91%) | 575(Top 90%) |
| 10K | 6.21 mi | 1.24 mi | 9153+56 | 4426+42 | 591+7 | 8812(Top 92%) | 4175(Top 88%) | 554(Top 87%) |
| 15K | 9.32 mi | 3.11 mi | 9163-10 | 4429-3 | 593-2 | 9101(Top 96%) | 4400(Top 93%) | 594(Top 93%) |
| FINISH | 13.11 mi | 3.79 mi | 9062+101 | 4370+59 | 587+6 | 8722(Top 92%) | 4159(Top 88%) | 565(Top 89%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
9101
Females
4400
F35-39
594
5K→8K
3.1 - 5.0 mi
Overall
8989
Females
4312
F35-39
575
8K→10K
5.0 - 6.2 mi
Overall
8812
Females
4175
F35-39
554
10K→15K
6.2 - 9.3 mi
Overall
9101
Females
4400
F35-39
594
15K→FINISH
9.3 - 13.1 mi
Overall
8722
Females
4159
F35-39
565
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 → 5K | - | - | - | - | #9251 |
| 5K → 8K | 77 | 35 | +42 | #9251 | #9209 |
| 8K → 10K | 60 | 4 | +56 | #9209 | #9153 |
| 10K → 15K | 32 | 42 | -10 | #9153 | #9163 |
| 15K → FINISH | 111 | 10 | +101 | #9163 | #9062 |
| TOTALS | 280 | 91 | +189 |
Passing Analysis Visualizations
Explore your passing analysis through 5 different visualizations. Scroll to discover each one.
📈Position Graph
🎨Heatmap Timeline
🔄Passing Circle
🌊Position Flow
🏃Race Lanes
AI Key Insights
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