Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
New York Road Runners
Rachit Saxena
Bib: 13706 •M •Age: 37
New York, 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 | 07:26:16 | 26:16 | 8:28 | 26:16 | 8:28 | - |
10K | 6.21 mi | 07:52:16 | 52:16 | 8:25 | 26:00 | 8:23 | -0:05 |
15K | 9.32 mi | 08:18:19 | 1:18:19 | 8:25 | 26:03 | 8:24 | +0:01 |
20K | 12.43 mi | 08:44:02 | 1:44:02 | 8:23 | 25:43 | 8:17 | -0:07 |
FINISH | 13.11 mi | 09:17:02 | 2:17:02 | 10:28 | 33:00 | 48:25 | +40:08 |
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
8:17 /mi
Average Pace
10:27 /mi
Slowest Pace
48:25 /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
1:44:02
76% of race
Time at Slower Pace
33:00
24% of race
Average Pace: 10:27 /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 | 07:26:16 | 26:16 | 8:28 | 26:16 | 8:28 | #8681 | |
10K | 6.21 mi | 07:52:16 | 52:16 | 8:25 | 26:00 | 8:23 | #8556 | |
15K | 9.32 mi | 08:18:19 | 1:18:19 | 8:25 | 26:03 | 8:24 | #8508 | |
20K | 12.43 mi | 08:44:02 | 1:44:02 | 8:23 | 25:43 | 8:17 | #8211 | |
FINISH | 13.11 mi | 09:17:02 | 2:17:02 | 10:28 | 33:00 | 48:25 | #8512 |
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 | 8681 | 6202 | 1087 | 8705(Top 29%) | 6162(Top 42%) | 1063(Top 43%) |
| 10K | 6.21 mi | 3.10 mi | 8556+125 | 6099+103 | 1073+14 | 8507(Top 28%) | 6061(Top 41%) | 1066(Top 43%) |
| 15K | 9.32 mi | 3.11 mi | 8508+48 | 6069+30 | 1054+19 | 8705(Top 29%) | 6162(Top 42%) | 1063(Top 43%) |
| 20K | 12.43 mi | 3.11 mi | 8211+297 | 5889+180 | 1019+35 | 7734(Top 26%) | 5570(Top 38%) | 961(Top 39%) |
| FINISH | 13.11 mi | 0.68 mi | 8512-301 | 6069-180 | 1061-42 | 9277(Top 31%) | 6435(Top 43%) | 1115(Top 45%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
8705
Males
6162
M35-39
1063
5K→10K
3.1 - 6.2 mi
Overall
8507
Males
6061
M35-39
1066
10K→15K
6.2 - 9.3 mi
Overall
8705
Males
6162
M35-39
1063
15K→20K
9.3 - 12.4 mi
Overall
7734
Males
5570
M35-39
961
20K→FINISH
12.4 - 13.1 mi
Overall
9277
Males
6435
M35-39
1115
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 | - | - | - | - | #8681 |
| 5K → 10K | 325* | 200 | +125 | #8681 | #8556 |
| 10K → 15K | 248* | 200 | +48 | #8556 | #8508 |
| 15K → 20K | 392* | 95 | +297 | #8508 | #8211 |
| 20K → FINISH | 200 | 200 | -301 | #8211 | #8512 |
| TOTALS | 1165* | 695 | +169 |
* Includes athletes who did not complete a segment (DNF/DNQ).
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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