Maria Fernanda Wetzel
Bib: 764•F•Age: 45
Chicago, 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 | 07:45:58 | 34:07 | 10:59 | 34:07 | 10:59 | - |
8K | 4.97 mi | 08:07:59 | 56:08 | 11:18 | 22:01 | 11:49 | +0:50 |
10K | 6.21 mi | 08:22:40 | 1:10:49 | 11:24 | 14:41 | 11:49 | 0:00 |
15K | 9.32 mi | 08:59:56 | 1:48:05 | 11:36 | 37:16 | 12:00 | +0:11 |
FINISH | 13.11 mi | 09:46:39 | 2:34:48 | 11:49 | 46:43 | 12:20 | +0:20 |
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
10:59 /mi
Average Pace
11:49 /mi
Slowest Pace
12:20 /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
1:48:05
70% of race
Time at Steady Pace
46:43
30% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 11:48 /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 | 07:45:58 | 34:07 | 10:59 | 34:07 | 10:59 | #6880 | |
8K | 4.97 mi | 08:07:59 | 56:08 | 11:18 | 22:01 | 11:49 | #7250 | |
10K | 6.21 mi | 08:22:40 | 1:10:49 | 11:24 | 14:41 | 11:49 | #7326 | |
15K | 9.32 mi | 08:59:56 | 1:48:05 | 11:36 | 37:16 | 12:00 | #7385 | |
FINISH | 13.11 mi | 09:46:39 | 2:34:48 | 11:49 | 46:43 | 12:20 | #7389 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F45-49 | Seg. Overall | Seg. Females | Seg. F45-49 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 6880 | 2864 | 198 | 7413(Top 78%) | 3221(Top 68%) | 217(Top 58%) |
| 8K | 4.97 mi | 1.86 mi | 7250-370 | 3099-235 | 215-17 | 7796(Top 82%) | 3466(Top 73%) | 245(Top 66%) |
| 10K | 6.21 mi | 1.24 mi | 7326-76 | 3147-48 | 219-4 | 7691(Top 81%) | 3377(Top 72%) | 237(Top 63%) |
| 15K | 9.32 mi | 3.11 mi | 7385-59 | 3186-39 | 216+3 | 7413(Top 78%) | 3221(Top 68%) | 217(Top 58%) |
| FINISH | 13.11 mi | 3.79 mi | 7389-4 | 3215-29 | 220-4 | 7351(Top 77%) | 3251(Top 69%) | 222(Top 59%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
7413
Females
3221
F45-49
217
5K→8K
3.1 - 5.0 mi
Overall
7796
Females
3466
F45-49
245
8K→10K
5.0 - 6.2 mi
Overall
7691
Females
3377
F45-49
237
10K→15K
6.2 - 9.3 mi
Overall
7413
Females
3221
F45-49
217
15K→FINISH
9.3 - 13.1 mi
Overall
7351
Females
3251
F45-49
222
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 | - | - | - | - | #6880 |
| 5K → 8K | 52 | 200 | -370 | #6880 | #7250 |
| 8K → 10K | 48 | 124 | -76 | #7250 | #7326 |
| 10K → 15K | 127 | 186 | -59 | #7326 | #7385 |
| 15K → FINISH | 137 | 141 | -4 | #7385 | #7389 |
| TOTALS | 364 | 651 | -509 |
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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Export Track Data
Download your race performance as a GPX or TCX file to import into Strava, Garmin Connect, or other fitness apps.
Questions or issues regarding timing data?
If you notice any discrepancies in your timing data or have questions about your results, our support team can help.
Contact Race SupportQuick Links
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Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
