Megan Enriquez
Bib: 25751 β’F β’Age: 36
Bronx, NY

Race Timeline and Course Information
Your journey through the course with elevation, pacing, and checkpoint details
β±οΈ 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 | 07:38:30 | 38:30 | 12:24 | 38:30 | 12:24 | - |
10K | 6.21 mi | 08:21:11 | 1:21:11 | 13:04 | 42:41 | 13:45 | +1:21 |
15K | 9.32 mi | 09:06:06 | 2:06:06 | 13:32 | 44:55 | 14:28 | +0:43 |
20K | 12.43 mi | 09:51:25 | 2:51:25 | 13:48 | 45:19 | 14:36 | +0:08 |
FINISH | 13.11 mi | 11:30:30 | 4:30:30 | 20:39 | 1:39:05 | 145:22 | +130:46 |
Checkpoint Splits Visualizations
Explore your race data through different visual perspectives. Scroll to discover each visualization.
πPace 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
12:24 /mi
Average Pace
20:38 /mi
Slowest Pace
145:22 /mi
πSegments
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
0:00
0% of race
Time at Steady Pace
2:51:25
63% of race
Time at Slower Pace
1:39:05
37% of race
Average Pace: 20:38 /mi
π¨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
β¨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 | 07:38:30 | 38:30 | 12:24 | 38:30 | 12:24 | #27991 | |
10K | 6.21 mi | 08:21:11 | 1:21:11 | 13:04 | 42:41 | 13:45 | #28393 | |
15K | 9.32 mi | 09:06:06 | 2:06:06 | 13:32 | 44:55 | 14:28 | #28643 | |
20K | 12.43 mi | 09:51:25 | 2:51:25 | 13:48 | 45:19 | 14:36 | #28652 | |
FINISH | 13.11 mi | 11:30:30 | 4:30:30 | 20:39 | 1:39:05 | 145:22 | #29080 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | W35-39 | Seg. Overall | Seg. Females | Seg. W35-39 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 27991 | 13599 | 1767 | 28834(Top 95%) | 14277(Top 93%) | 1901(Top 93%) |
| 10K | 6.21 mi | 3.10 mi | 28393-402 | 13930-331 | 1830-63 | 28590(Top 95%) | 14092(Top 92%) | 1865(Top 92%) |
| 15K | 9.32 mi | 3.11 mi | 28643-250 | 14119-189 | 1867-37 | 28834(Top 95%) | 14277(Top 93%) | 1901(Top 93%) |
| 20K | 12.43 mi | 3.11 mi | 28652-9 | 14151-32 | 1869-2 | 28644(Top 95%) | 14188(Top 93%) | 1873(Top 92%) |
| FINISH | 13.11 mi | 0.68 mi | 29080-428 | 14429-278 | 1914-45 | 28765(Top 95%) | 14298(Top 94%) | 1897(Top 93%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
28834
Females
14277
W35-39
1901
5Kβ10K
3.1 - 6.2 mi
Overall
28590
Females
14092
W35-39
1865
10Kβ15K
6.2 - 9.3 mi
Overall
28834
Females
14277
W35-39
1901
15Kβ20K
9.3 - 12.4 mi
Overall
28644
Females
14188
W35-39
1873
20KβFINISH
12.4 - 13.1 mi
Overall
28765
Females
14298
W35-39
1897
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 β 5K | - | - | - | - | #27991 |
| 5K β 10K | 139 | 200 | -402 | #27991 | #28393 |
| 10K β 15K | 84 | 200 | -250 | #28393 | #28643 |
| 15K β 20K | 108 | 117 | -9 | #28643 | #28652 |
| 20K β FINISH | 43 | 200 | -428 | #28652 | #29080 |
| TOTALS | 374 | 717 | -1089 |
Passing Analysis Visualizations
Explore your passing analysis through 5 different visualizations. Scroll to discover each one.
πPosition Graph
π¨Heatmap Timeline
πPassing Circle
πPosition Flow
πRace Lanes
AI Key Insights
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