Jessica Montesinos
Bib: 4961•F•Age: 30
Wheeling, 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 | 08:02:06 | 37:15 | 12:00 | 37:15 | 12:00 | - |
8K | 4.97 mi | 08:24:55 | 1:00:04 | 12:06 | 22:49 | 12:15 | +0:15 |
10K | 6.21 mi | 08:40:10 | 1:15:19 | 12:08 | 15:15 | 12:17 | +0:02 |
15K | 9.32 mi | 09:19:30 | 1:54:39 | 12:19 | 39:20 | 12:40 | +0:23 |
FINISH | 13.11 mi | 10:13:08 | 2:48:17 | 12:51 | 53:38 | 14:10 | +1:30 |
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
12:00 /mi
Average Pace
12:50 /mi
Slowest Pace
14:10 /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
1:54:39
68% of race
Time at Steady Pace
0:00
0% of race
Time at Slower Pace
53:38
32% of race
Average Pace: 12:50 /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 | 08:02:06 | 37:15 | 12:00 | 37:15 | 12:00 | #8119 | |
8K | 4.97 mi | 08:24:55 | 1:00:04 | 12:06 | 22:49 | 12:15 | #8153 | |
10K | 6.21 mi | 08:40:10 | 1:15:19 | 12:08 | 15:15 | 12:17 | #8155 | |
15K | 9.32 mi | 09:19:30 | 1:54:39 | 12:19 | 39:20 | 12:40 | #8080 | |
FINISH | 13.11 mi | 10:13:08 | 2:48:17 | 12:51 | 53:38 | 14:10 | #8282 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F30-34 | Seg. Overall | Seg. Females | Seg. F30-34 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 8119 | 3683 | 764 | 7936(Top 83%) | 3589(Top 76%) | 742(Top 77%) |
| 8K | 4.97 mi | 1.86 mi | 8153-34 | 3702-19 | 765-1 | 8155(Top 86%) | 3706(Top 79%) | 768(Top 80%) |
| 10K | 6.21 mi | 1.24 mi | 8155-2 | 3697+5 | 757+8 | 8078(Top 85%) | 3656(Top 77%) | 745(Top 78%) |
| 15K | 9.32 mi | 3.11 mi | 8080+75 | 3665+32 | 760-3 | 7936(Top 83%) | 3589(Top 76%) | 742(Top 77%) |
| FINISH | 13.11 mi | 3.79 mi | 8282-202 | 3825-160 | 779-19 | 8566(Top 90%) | 4058(Top 86%) | 813(Top 85%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
7936
Females
3589
F30-34
742
5K→8K
3.1 - 5.0 mi
Overall
8155
Females
3706
F30-34
768
8K→10K
5.0 - 6.2 mi
Overall
8078
Females
3656
F30-34
745
10K→15K
6.2 - 9.3 mi
Overall
7936
Females
3589
F30-34
742
15K→FINISH
9.3 - 13.1 mi
Overall
8566
Females
4058
F30-34
813
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 | - | - | - | - | #8119 |
| 5K → 8K | 122 | 156 | -34 | #8119 | #8153 |
| 8K → 10K | 55 | 57 | -2 | #8153 | #8155 |
| 10K → 15K | 161 | 86 | +75 | #8155 | #8080 |
| 15K → FINISH | 33 | 235 | -202 | #8080 | #8282 |
| TOTALS | 371 | 534 | -163 |
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
