Bruna Costa Schleis
Bib: 1056•F•Age: 40
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 | 07:56:50 | 34:37 | 11:09 | 34:37 | 11:09 | - |
8K | 4.97 mi | 08:17:44 | 55:31 | 11:11 | 20:54 | 11:13 | +0:04 |
10K | 6.21 mi | 08:32:03 | 1:09:50 | 11:15 | 14:19 | 11:32 | +0:19 |
15K | 9.32 mi | 09:08:09 | 1:45:56 | 11:22 | 36:06 | 11:38 | +0:06 |
FINISH | 13.11 mi | 09:52:36 | 2:30:23 | 11:29 | 44:27 | 11:44 | +0:06 |
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
11:09 /mi
Average Pace
11:28 /mi
Slowest Pace
11:44 /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
1:45:56
70% of race
Time at Steady Pace
44:27
30% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 11:28 /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 | 07:56:50 | 34:37 | 11:09 | 34:37 | 11:09 | #7132 | |
8K | 4.97 mi | 08:17:44 | 55:31 | 11:11 | 20:54 | 11:13 | #7092 | |
10K | 6.21 mi | 08:32:03 | 1:09:50 | 11:15 | 14:19 | 11:32 | #7135 | |
15K | 9.32 mi | 09:08:09 | 1:45:56 | 11:22 | 36:06 | 11:38 | #7061 | |
FINISH | 13.11 mi | 09:52:36 | 2:30:23 | 11:29 | 44:27 | 11:44 | #7011 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F40-44 | Seg. Overall | Seg. Females | Seg. F40-44 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 7132 | 3019 | 351 | 7027(Top 74%) | 2963(Top 63%) | 342(Top 64%) |
| 8K | 4.97 mi | 1.86 mi | 7092+40 | 2991+28 | 338+13 | 7122(Top 75%) | 3019(Top 64%) | 338(Top 63%) |
| 10K | 6.21 mi | 1.24 mi | 7135-43 | 3020-29 | 343-5 | 7371(Top 77%) | 3153(Top 67%) | 358(Top 67%) |
| 15K | 9.32 mi | 3.11 mi | 7061+74 | 2962+58 | 334+9 | 7027(Top 74%) | 2963(Top 63%) | 342(Top 64%) |
| FINISH | 13.11 mi | 3.79 mi | 7011+50 | 2957+5 | 339-5 | 6842(Top 72%) | 2911(Top 62%) | 335(Top 63%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
7027
Females
2963
F40-44
342
5K→8K
3.1 - 5.0 mi
Overall
7122
Females
3019
F40-44
338
8K→10K
5.0 - 6.2 mi
Overall
7371
Females
3153
F40-44
358
10K→15K
6.2 - 9.3 mi
Overall
7027
Females
2963
F40-44
342
15K→FINISH
9.3 - 13.1 mi
Overall
6842
Females
2911
F40-44
335
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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 | - | - | - | - | #7132 |
| 5K → 8K | 166 | 126 | +40 | #7132 | #7092 |
| 8K → 10K | 49 | 92 | -43 | #7092 | #7135 |
| 10K → 15K | 173 | 99 | +74 | #7135 | #7061 |
| 15K → FINISH | 179 | 129 | +50 | #7061 | #7011 |
| TOTALS | 567 | 446 | +121 |
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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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Questions or issues regarding timing data?
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Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
