Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
Tamerra Buckhanan
Bib: 7229 •F •Age: 75
Flossmoor, 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 | 08:17:18 | 36:16 | 11:41 | 36:16 | 11:41 | - |
8K | 4.97 mi | 08:40:23 | 59:21 | 11:57 | 23:05 | 12:23 | +0:42 |
10K | 6.21 mi | 08:55:00 | 1:13:58 | 11:55 | 14:37 | 11:46 | -0:37 |
15K | 9.32 mi | 09:34:39 | 1:53:37 | 12:12 | 39:39 | 12:46 | +1:00 |
FINISH | 13.11 mi | 10:22:08 | 2:41:06 | 12:18 | 47:29 | 12:33 | -0:13 |
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
11:41 /mi
Average Pace
12:08 /mi
Slowest Pace
12:46 /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
50:53
32% of race
Time at Moderate Pace
1:50:13
68% of race
Time at Slow Pace
0:00
0% of race
Average Pace: 12:17 /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 | 08:17:18 | 36:16 | 11:41 | 36:16 | 11:41 | #5490 | |
8K | 4.97 mi | 08:40:23 | 59:21 | 11:57 | 23:05 | 12:23 | #5430 | |
10K | 6.21 mi | 08:55:00 | 1:13:58 | 11:55 | 14:37 | 11:46 | #5402 | |
15K | 9.32 mi | 09:34:39 | 1:53:37 | 12:12 | 39:39 | 12:46 | #5316 | |
FINISH | 13.11 mi | 10:22:08 | 2:41:06 | 12:18 | 47:29 | 12:33 | #5142 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F75-79 | Seg. Overall | Seg. Females | Seg. F75-79 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 5490 | 2515 | 2 | 5133(Top 79%) | 2323(Top 71%) | 2(Top 50%) |
| 8K | 4.97 mi | 1.86 mi | 5430+60 | 2481+34 | 2 | 5367(Top 82%) | 2444(Top 75%) | 2(Top 50%) |
| 10K | 6.21 mi | 1.24 mi | 5402+28 | 2463+18 | 2 | 5310(Top 82%) | 2406(Top 74%) | 2(Top 50%) |
| 15K | 9.32 mi | 3.11 mi | 5316+86 | 2411+52 | 2 | 5133(Top 79%) | 2323(Top 71%) | 2(Top 50%) |
| FINISH | 13.11 mi | 3.79 mi | 5142+174 | 2328+83 | 2 | 4795(Top 74%) | 2157(Top 66%) | 2(Top 50%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
5133
Females
2323
F75-79
2
5K→8K
3.1 - 5.0 mi
Overall
5367
Females
2444
F75-79
2
8K→10K
5.0 - 6.2 mi
Overall
5310
Females
2406
F75-79
2
10K→15K
6.2 - 9.3 mi
Overall
5133
Females
2323
F75-79
2
15K→FINISH
9.3 - 13.1 mi
Overall
4795
Females
2157
F75-79
2
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 | - | - | - | - | #5490 |
| 5K → 8K | 127 | 67 | +60 | #5490 | #5430 |
| 8K → 10K | 52 | 24 | +28 | #5430 | #5402 |
| 10K → 15K | 129 | 43 | +86 | #5402 | #5316 |
| 15K → FINISH | 209* | 35 | +174 | #5316 | #5142 |
| TOTALS | 517* | 169 | +348 |
* 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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