Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
New York Road Runners
Brandon Gallagher
Bib: 6724 •M •Age: 31
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 | 07:21:24 | 21:24 | 6:54 | 21:24 | 6:54 | - |
10K | 6.21 mi | 07:42:58 | 42:58 | 6:55 | 21:34 | 6:57 | +0:03 |
15K | 9.32 mi | 08:04:06 | 1:04:06 | 6:53 | 21:08 | 6:49 | -0:08 |
20K | 12.43 mi | 08:25:09 | 1:25:09 | 6:52 | 21:03 | 6:47 | -0:02 |
FINISH | 13.11 mi | 08:41:10 | 1:41:10 | 7:44 | 16:01 | 23:30 | +16:43 |
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
6:47 /mi
Average Pace
7:43 /mi
Slowest Pace
23:30 /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
1:25:09
84% of race
Time at Slower Pace
16:01
16% of race
Average Pace: 7:43 /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 | 07:21:24 | 21:24 | 6:54 | 21:24 | 6:54 | #2167 | |
10K | 6.21 mi | 07:42:58 | 42:58 | 6:55 | 21:34 | 6:57 | #2285 | |
15K | 9.32 mi | 08:04:06 | 1:04:06 | 6:53 | 21:08 | 6:49 | #2164 | |
20K | 12.43 mi | 08:25:09 | 1:25:09 | 6:52 | 21:03 | 6:47 | #2039 | |
FINISH | 13.11 mi | 08:41:10 | 1:41:10 | 7:44 | 16:01 | 23:30 | #3243 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M30-34 | Seg. Overall | Seg. Males | Seg. M30-34 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 2167 | 1801 | 425 | 1976(Top 7%) | 1646(Top 11%) | 398(Top 13%) |
| 10K | 6.21 mi | 3.10 mi | 2285-118 | 1881-80 | 438-13 | 2407(Top 8%) | 1966(Top 13%) | 455(Top 15%) |
| 15K | 9.32 mi | 3.11 mi | 2164+121 | 1791+90 | 420+18 | 1976(Top 7%) | 1646(Top 11%) | 398(Top 13%) |
| 20K | 12.43 mi | 3.11 mi | 2039+125 | 1692+99 | 402+18 | 1723(Top 6%) | 1456(Top 10%) | 356(Top 12%) |
| FINISH | 13.11 mi | 0.68 mi | 3243-1204 | 2570-878 | 574-172 | 6744(Top 22%) | 4874(Top 33%) | 1004(Top 34%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
1976
Males
1646
M30-34
398
5K→10K
3.1 - 6.2 mi
Overall
2407
Males
1966
M30-34
455
10K→15K
6.2 - 9.3 mi
Overall
1976
Males
1646
M30-34
398
15K→20K
9.3 - 12.4 mi
Overall
1723
Males
1456
M30-34
356
20K→FINISH
12.4 - 13.1 mi
Overall
6744
Males
4874
M30-34
1004
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 | - | - | - | - | #2167 |
| 5K → 10K | 63 | 181 | -118 | #2167 | #2285 |
| 10K → 15K | 134 | 13 | +121 | #2285 | #2164 |
| 15K → 20K | 145 | 20 | +125 | #2164 | #2039 |
| 20K → FINISH | 51 | 200 | -1204 | #2039 | #3243 |
| TOTALS | 393 | 414 | -1076 |
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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