Jezrael Hope Magat
Bartlett, IL
Bib: 8578 F 30
⏱️ Race Timeline
The Course
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A one-of-a-kind AI Race Performance Report that reads your race like a coach. A plain-English story of how you raced, where you surged and faded, and what it all means. Emailed to you, free.
Checkpoint Splits
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment Time | Segment Pace | Diff |
|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 08:01:09 | 35:31 | 11:26 | 35:31 | 11:26 | - |
8K | 4.97 mi | 08:28:04 | 1:02:26 | 12:34 | 26:55 | 14:27 | +3:01 |
10K | 6.21 mi | 08:43:44 | 1:18:06 | 12:35 | 15:40 | 12:37 | -1:50 |
15K | 9.32 mi | 09:22:25 | 1:56:47 | 12:32 | 38:41 | 12:28 | -0:09 |
FINISH | 13.11 mi | 10:11:07 | 2:45:29 | 12:38 | 48:42 | 12:52 | +0:24 |
Checkpoints & Pacing
📈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
11:26 /mi
Average Pace
12:37 /mi
Slowest Pace
14:27 /mi
📊Segments
Segment Time Comparison
Time at Faster Pace
35:31
21% of race
Time at Steady Pace
1:43:03
62% of race
Time at Slower Pace
26:55
16% of race
Average Pace: 12:37 /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
Overall Pace Trend
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment | Pace | Trend | Rank |
|---|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 08:01:09 | 35:31 | 11:26 | 35:31 | 11:26 | #7511 | |
8K | 4.97 mi | 08:28:04 | 1:02:26 | 12:34 | 26:55 | 14:27 | #8541 | |
10K | 6.21 mi | 08:43:44 | 1:18:06 | 12:35 | 15:40 | 12:37 | #8503 | |
15K | 9.32 mi | 09:22:25 | 1:56:47 | 12:32 | 38:41 | 12:28 | #8260 | |
FINISH | 13.11 mi | 10:11:07 | 2:45:29 | 12:38 | 48:42 | 12:52 | #8115 |
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 | 7511 | 3284 | 684 | 7769(Top 82%) | 3464(Top 73%) | 712(Top 74%) |
| 8K | 4.97 mi | 1.86 mi | 8541-1030 | 3976-692 | 821-137 | 9203(Top 97%) | 4457(Top 94%) | 911(Top 95%) |
| 10K | 6.21 mi | 1.24 mi | 8503+38 | 3944+32 | 817+4 | 8319(Top 87%) | 3826(Top 81%) | 787(Top 82%) |
| 15K | 9.32 mi | 3.11 mi | 8260+243 | 3786+158 | 779+38 | 7769(Top 82%) | 3464(Top 73%) | 712(Top 74%) |
| FINISH | 13.11 mi | 3.79 mi | 8115+145 | 3705+81 | 753+26 | 7748(Top 81%) | 3509(Top 74%) | 714(Top 74%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
7769
Females
3464
F30-34
712
5K→8K
3.1 - 5.0 mi
Overall
9203
Females
4457
F30-34
911
8K→10K
5.0 - 6.2 mi
Overall
8319
Females
3826
F30-34
787
10K→15K
6.2 - 9.3 mi
Overall
7769
Females
3464
F30-34
712
15K→FINISH
9.3 - 13.1 mi
Overall
7748
Females
3509
F30-34
714
Passing Analysis
| Segment | Athletes Passed | Passed By | Net Change | Start Rank | End Rank |
|---|---|---|---|---|---|
| Start → 5K | - | - | - | - | #7511 |
| 5K → 8K | 4 | 1034 | -1030 | #7511 | #8541 |
| 8K → 10K | 72 | 34 | +38 | #8541 | #8503 |
| 10K → 15K | 268 | 25 | +243 | #8503 | #8260 |
| 15K → FINISH | 183 | 38 | +145 | #8260 | #8115 |
| TOTALS | 527 | 1131 | -604 |
Passing Visuals
🔄Passing Circle
🌊Position Flow
🏃Race Lanes
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