Ashish Mehta
Bib: 5285•M•Age: 40
Buffalo Grove, 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 | 07:44:06 | 32:46 | 10:33 | 32:46 | 10:33 | - |
8K | 4.97 mi | 08:06:12 | 54:52 | 11:03 | 22:06 | 11:52 | +1:19 |
10K | 6.21 mi | 08:21:07 | 1:09:47 | 11:14 | 14:55 | 12:01 | +0:09 |
15K | 9.32 mi | 09:05:36 | 1:54:16 | 12:16 | 44:29 | 14:20 | +2:19 |
FINISH | 13.11 mi | 09:59:01 | 2:47:41 | 12:48 | 53:25 | 14:06 | -0:14 |
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
10:33 /mi
Average Pace
12:47 /mi
Slowest Pace
14:20 /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
32:46
20% of race
Time at Steady Pace
37:01
22% of race
Time at Slower Pace
1:37:54
58% of race
Average Pace: 12:47 /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 | 07:44:06 | 32:46 | 10:33 | 32:46 | 10:33 | #2653 | |
8K | 4.97 mi | 08:06:12 | 54:52 | 11:03 | 22:06 | 11:52 | #2808 | |
10K | 6.21 mi | 08:21:07 | 1:09:47 | 11:14 | 14:55 | 12:01 | #2933 | |
15K | 9.32 mi | 09:05:36 | 1:54:16 | 12:16 | 44:29 | 14:20 | #3095 | |
FINISH | 13.11 mi | 09:59:01 | 2:47:41 | 12:48 | 53:25 | 14:06 | #3249 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M40-44 | Seg. Overall | Seg. Males | Seg. M40-44 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 2653 | 1553 | 184 | 3262(Top 88%) | 1770(Top 93%) | 208(Top 92%) |
| 8K | 4.97 mi | 1.86 mi | 2808-155 | 1613-60 | 187-3 | 3049(Top 82%) | 1699(Top 89%) | 199(Top 88%) |
| 10K | 6.21 mi | 1.24 mi | 2933-125 | 1655-42 | 192-5 | 3221(Top 87%) | 1771(Top 93%) | 206(Top 91%) |
| 15K | 9.32 mi | 3.11 mi | 3095-162 | 1718-63 | 202-10 | 3262(Top 88%) | 1770(Top 93%) | 208(Top 92%) |
| FINISH | 13.11 mi | 3.79 mi | 3249-154 | 1766-48 | 207-5 | 3507(Top 95%) | 1836(Top 96%) | 216(Top 96%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
3262
Males
1770
M40-44
208
5K→8K
3.1 - 5.0 mi
Overall
3049
Males
1699
M40-44
199
8K→10K
5.0 - 6.2 mi
Overall
3221
Males
1771
M40-44
206
10K→15K
6.2 - 9.3 mi
Overall
3262
Males
1770
M40-44
208
15K→FINISH
9.3 - 13.1 mi
Overall
3507
Males
1836
M40-44
216
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 | - | - | - | - | #2653 |
| 5K → 8K | 27 | 182 | -155 | #2653 | #2808 |
| 8K → 10K | 1 | 126 | -125 | #2808 | #2933 |
| 10K → 15K | 7 | 169 | -162 | #2933 | #3095 |
| 15K → FINISH | 8 | 162 | -154 | #3095 | #3249 |
| TOTALS | 43 | 639 | -596 |
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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Export & Support
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Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
