Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
Jane Regalado
Bib: 4413 •F •Age: 65
Oak Lawn, 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 | 07:47:30 | 35:42 | 11:30 | 35:42 | 11:30 | - |
8K | 4.97 mi | 08:06:24 | 54:36 | 11:00 | 18:54 | 10:09 | -1:21 |
10K | 6.21 mi | 08:19:42 | 1:07:54 | 10:56 | 13:18 | 10:43 | +0:34 |
15K | 9.32 mi | 08:53:35 | 1:41:47 | 10:56 | 33:53 | 10:55 | +0:12 |
FINISH | 13.11 mi | 09:34:20 | 2:22:32 | 10:53 | 40:45 | 10:46 | -0:09 |
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. Green = fastest, yellow = moderate, red = slowest segments.
Fastest Pace
10:09 /mi
Average Pace
10:52 /mi
Slowest Pace
11:30 /mi
📊Segments
Segment Time Comparison
Bar length shows time spent in each segment. Color indicates pace quality: green = fast pace, yellow = moderate, red = slow pace.
Time at Fast Pace
1:46:50
75% of race
Time at Moderate Pace
35:42
25% of race
Time at Slow Pace
0:00
0% of race
Average Pace: 10:52 /mi
🎨Heatmap
Pace Heatmap
Visual intensity map of your pacing throughout the race. Green = fastest, yellow = moderate, red = slowest.
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 | 07:47:30 | 35:42 | 11:30 | 35:42 | 11:30 | #6339 | |
8K | 4.97 mi | 08:06:24 | 54:36 | 11:00 | 18:54 | 10:09 | #5680 | |
10K | 6.21 mi | 08:19:42 | 1:07:54 | 10:56 | 13:18 | 10:43 | #5522 | |
15K | 9.32 mi | 08:53:35 | 1:41:47 | 10:56 | 33:53 | 10:55 | #5238 | |
FINISH | 13.11 mi | 09:34:20 | 2:22:32 | 10:53 | 40:45 | 10:46 | #4985 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F65-69 | Seg. Overall | Seg. Females | Seg. F65-69 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 6339 | 2774 | 14 | 4789(Top 61%) | 1815(Top 47%) | 4(Top 15%) |
| 8K | 4.97 mi | 1.86 mi | 5680+659 | 2343+431 | 8+6 | 4499(Top 57%) | 1610(Top 42%) | 2(Top 7%) |
| 10K | 6.21 mi | 1.24 mi | 5522+158 | 2232+111 | 6+2 | 5001(Top 63%) | 1915(Top 49%) | 4(Top 15%) |
| 15K | 9.32 mi | 3.11 mi | 5238+284 | 2066+166 | 4+2 | 4789(Top 61%) | 1815(Top 47%) | 4(Top 15%) |
| FINISH | 13.11 mi | 3.79 mi | 4985+253 | 1931+135 | 3+1 | 4434(Top 56%) | 1697(Top 44%) | 3(Top 11%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
4789
Females
1815
F65-69
4
5K→8K
3.1 - 5.0 mi
Overall
4499
Females
1610
F65-69
2
8K→10K
5.0 - 6.2 mi
Overall
5001
Females
1915
F65-69
4
10K→15K
6.2 - 9.3 mi
Overall
4789
Females
1815
F65-69
4
15K→FINISH
9.3 - 13.1 mi
Overall
4434
Females
1697
F65-69
3
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 | - | - | - | - | #6339 |
| 5K → 8K | 669* | 10 | +659 | #6339 | #5680 |
| 8K → 10K | 168 | 10 | +158 | #5680 | #5522 |
| 10K → 15K | 302* | 18 | +284 | #5522 | #5238 |
| 15K → FINISH | 286* | 33 | +253 | #5238 | #4985 |
| TOTALS | 1425* | 71 | +1354 |
* Includes athletes who did not complete a segment (DNF/DNQ).
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
Activity Data
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