Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
Claire Berman
Bib: 6869 •F •Age: 70
Lombard, 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 | 07:52:33 | 35:02 | 11:17 | 35:02 | 11:17 | - |
8K | 4.97 mi | 08:12:57 | 55:26 | 11:10 | 20:24 | 10:57 | -0:20 |
10K | 6.21 mi | 08:26:20 | 1:08:49 | 11:05 | 13:23 | 10:47 | -0:10 |
15K | 9.32 mi | 08:59:37 | 1:42:06 | 10:58 | 33:17 | 10:43 | -0:04 |
FINISH | 13.11 mi | 09:39:02 | 2:21:31 | 10:48 | 39:25 | 10:25 | -0:18 |
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
10:25 /mi
Average Pace
10:48 /mi
Slowest Pace
11:17 /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
1:26:05
61% of race
Time at Moderate Pace
55:26
39% of race
Time at Slow Pace
0:00
0% of race
Average Pace: 10:48 /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 | 07:52:33 | 35:02 | 11:17 | 35:02 | 11:17 | #7315 | |
8K | 4.97 mi | 08:12:57 | 55:26 | 11:10 | 20:24 | 10:57 | #7064 | |
10K | 6.21 mi | 08:26:20 | 1:08:49 | 11:05 | 13:23 | 10:47 | #6901 | |
15K | 9.32 mi | 08:59:37 | 1:42:06 | 10:58 | 33:17 | 10:43 | #6522 | |
FINISH | 13.11 mi | 09:39:02 | 2:21:31 | 10:48 | 39:25 | 10:25 | #6116 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F70-74 | Seg. Overall | Seg. Females | Seg. F70-74 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 7315 | 3146 | 1 | 5909(Top 62%) | 2277(Top 48%) | 1(Top 13%) |
| 8K | 4.97 mi | 1.86 mi | 7064+251 | 2970+176 | 1 | 6760(Top 71%) | 2790(Top 59%) | 1(Top 13%) |
| 10K | 6.21 mi | 1.24 mi | 6901+163 | 2871+99 | 1 | 6343(Top 67%) | 2521(Top 53%) | 1(Top 13%) |
| 15K | 9.32 mi | 3.11 mi | 6522+379 | 2630+241 | 1 | 5909(Top 62%) | 2277(Top 48%) | 1(Top 13%) |
| FINISH | 13.11 mi | 3.79 mi | 6116+406 | 2407+223 | 1 | 5233(Top 55%) | 1949(Top 41%) | 1(Top 13%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
5909
Females
2277
F70-74
1
5K→8K
3.1 - 5.0 mi
Overall
6760
Females
2790
F70-74
1
8K→10K
5.0 - 6.2 mi
Overall
6343
Females
2521
F70-74
1
10K→15K
6.2 - 9.3 mi
Overall
5909
Females
2277
F70-74
1
15K→FINISH
9.3 - 13.1 mi
Overall
5233
Females
1949
F70-74
1
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 | - | - | - | - | #7315 |
| 5K → 8K | 294* | 43 | +251 | #7315 | #7064 |
| 8K → 10K | 175 | 12 | +163 | #7064 | #6901 |
| 10K → 15K | 398* | 19 | +379 | #6901 | #6522 |
| 15K → FINISH | 427* | 21 | +406 | #6522 | #6116 |
| TOTALS | 1294* | 95 | +1199 |
* 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
AI Key Insights
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