Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
New York Road Runners
Alex Bron
Bib: 352 •M •Age: 35
Bronx, NY
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 | 07:22:19 | 22:19 | 7:11 | 22:19 | 7:11 | - |
10K | 6.21 mi | 07:44:24 | 44:24 | 7:09 | 22:05 | 7:07 | -0:04 |
15K | 9.32 mi | 08:06:21 | 1:06:21 | 7:08 | 21:57 | 7:04 | -0:03 |
20K | 12.43 mi | 08:28:40 | 1:28:40 | 7:09 | 22:19 | 7:11 | +0:07 |
FINISH | 13.11 mi | 08:38:22 | 1:38:22 | 7:31 | 9:42 | 14:14 | +7:03 |
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
7:04 /mi
Average Pace
7:30 /mi
Slowest Pace
14:14 /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
0:00
0% of race
Time at Steady Pace
1:28:40
90% of race
Time at Slower Pace
9:42
10% of race
Average Pace: 7:30 /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 | 07:22:19 | 22:19 | 7:11 | 22:19 | 7:11 | #2947 | |
10K | 6.21 mi | 07:44:24 | 44:24 | 7:09 | 22:05 | 7:07 | #2892 | |
15K | 9.32 mi | 08:06:21 | 1:06:21 | 7:08 | 21:57 | 7:04 | #2799 | |
20K | 12.43 mi | 08:28:40 | 1:28:40 | 7:09 | 22:19 | 7:11 | #2796 | |
FINISH | 13.11 mi | 08:38:22 | 1:38:22 | 7:31 | 9:42 | 14:14 | #2797 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M35-39 | Seg. Overall | Seg. Males | Seg. M35-39 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 2947 | 2378 | 406 | 2740(Top 9%) | 2224(Top 15%) | 386(Top 16%) |
| 10K | 6.21 mi | 3.10 mi | 2892+55 | 2337+41 | 400+6 | 2878(Top 10%) | 2315(Top 16%) | 400(Top 16%) |
| 15K | 9.32 mi | 3.11 mi | 2799+93 | 2266+71 | 391+9 | 2740(Top 9%) | 2224(Top 15%) | 386(Top 16%) |
| 20K | 12.43 mi | 3.11 mi | 2796+3 | 2258+8 | 386+5 | 2911(Top 10%) | 2346(Top 16%) | 406(Top 17%) |
| FINISH | 13.11 mi | 0.68 mi | 2797-1 | 2252+6 | 383+3 | 3431(Top 11%) | 2676(Top 18%) | 450(Top 18%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
2740
Males
2224
M35-39
386
5K→10K
3.1 - 6.2 mi
Overall
2878
Males
2315
M35-39
400
10K→15K
6.2 - 9.3 mi
Overall
2740
Males
2224
M35-39
386
15K→20K
9.3 - 12.4 mi
Overall
2911
Males
2346
M35-39
406
20K→FINISH
12.4 - 13.1 mi
Overall
3431
Males
2676
M35-39
450
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 | - | - | - | - | #2947 |
| 5K → 10K | 125 | 70 | +55 | #2947 | #2892 |
| 10K → 15K | 122 | 29 | +93 | #2892 | #2799 |
| 15K → 20K | 69 | 66 | +3 | #2799 | #2796 |
| 20K → FINISH | 200 | 200 | -1 | #2796 | #2797 |
| TOTALS | 516 | 365 | +150 |
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
AI Key Insights
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Activity Data
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