Alexandra Fiedler
Chicago, IL
Bib: 2434 F 35
⏱️ 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 | 07:50:09 | 35:07 | 11:19 | 35:07 | 11:19 | - |
8K | 4.97 mi | 08:11:17 | 56:15 | 11:19 | 21:08 | 11:21 | +0:02 |
10K | 6.21 mi | 08:25:19 | 1:10:17 | 11:19 | 14:02 | 11:18 | -0:03 |
15K | 9.32 mi | 09:01:15 | 1:46:13 | 11:24 | 35:56 | 11:34 | +0:16 |
FINISH | 13.11 mi | 09:47:10 | 2:32:08 | 11:37 | 45:55 | 12:08 | +0:34 |
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
11:18 /mi
Average Pace
11:36 /mi
Slowest Pace
12:08 /mi
📊Segments
Segment Time Comparison
Time at Faster Pace
1:46:13
70% of race
Time at Steady Pace
45:55
30% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 11:36 /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 | 07:50:09 | 35:07 | 11:19 | 35:07 | 11:19 | #6138 | |
8K | 4.97 mi | 08:11:17 | 56:15 | 11:19 | 21:08 | 11:21 | #6086 | |
10K | 6.21 mi | 08:25:19 | 1:10:17 | 11:19 | 14:02 | 11:18 | #5970 | |
15K | 9.32 mi | 09:01:15 | 1:46:13 | 11:24 | 35:56 | 11:34 | #5821 | |
FINISH | 13.11 mi | 09:47:10 | 2:32:08 | 11:37 | 45:55 | 12:08 | #5834 |
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F35-39 | Seg. Overall | Seg. Females | Seg. F35-39 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 6138 | 2639 | 390 | 5500(Top 70%) | 2250(Top 58%) | 343(Top 62%) |
| 8K | 4.97 mi | 1.86 mi | 6086+52 | 2596+43 | 384+6 | 6012(Top 76%) | 2562(Top 66%) | 388(Top 70%) |
| 10K | 6.21 mi | 1.24 mi | 5970+116 | 2518+78 | 373+11 | 5669(Top 72%) | 2337(Top 60%) | 352(Top 63%) |
| 15K | 9.32 mi | 3.11 mi | 5821+149 | 2433+85 | 370+3 | 5500(Top 70%) | 2250(Top 58%) | 343(Top 62%) |
| FINISH | 13.11 mi | 3.79 mi | 5834-13 | 2467-34 | 374-4 | 5854(Top 74%) | 2534(Top 65%) | 387(Top 69%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
5500
Females
2250
F35-39
343
5K→8K
3.1 - 5.0 mi
Overall
6012
Females
2562
F35-39
388
8K→10K
5.0 - 6.2 mi
Overall
5669
Females
2337
F35-39
352
10K→15K
6.2 - 9.3 mi
Overall
5500
Females
2250
F35-39
343
15K→FINISH
9.3 - 13.1 mi
Overall
5854
Females
2534
F35-39
387
Passing Analysis
| Segment | Athletes Passed | Passed By | Net Change | Start Rank | End Rank |
|---|---|---|---|---|---|
| Start → 5K | - | - | - | - | #6138 |
| 5K → 8K | 148 | 96 | +52 | #6138 | #6086 |
| 8K → 10K | 134 | 18 | +116 | #6086 | #5970 |
| 10K → 15K | 223 | 74 | +149 | #5970 | #5821 |
| 15K → FINISH | 111 | 124 | -13 | #5821 | #5834 |
| TOTALS | 616 | 312 | +304 |
Passing Visuals
🔄Passing Circle
🌊Position Flow
🏃Race Lanes
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Race managed by
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