Official Timing Data
Enhanced athlete page with detailed checkpoint data and passing analysis
Race managed by
New York Road Runners
Delia Kirkpatrick
Bib: 7780 •F •Age: 16
Lynbrook, NY
Your journey through the course with elevation, pacing, and checkpoint details
⏱️ Race Timeline
Watch your race unfold from start to finish
Detailed breakdown of your race performance at each timing point
Checkpoint Splits
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment Time | Segment Pace |
|---|---|---|---|---|---|---|
5K | 3.11 mi | 07:24:52 | 24:52 | 8:01 | 24:52 | 8:01 |
10K | 6.21 mi | 07:49:25 | 49:25 | 7:58 | 24:33 | 7:55 |
15K | 9.32 mi | 08:12:23 | 1:12:23 | 7:46 | 22:58 | 7:24 |
20K | 12.43 mi | 08:35:30 | 1:35:30 | 7:42 | 23:07 | 7:27 |
FINISH | 13.11 mi | 08:49:09 | 1:49:09 | 8:20 | 13:39 | 20:02 |
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. Green = fastest, yellow = moderate, red = slowest segments.
Fastest Pace
7:24 /mi
Average Pace
9:48 /mi
Slowest Pace
20:02 /mi
📊Segments
Segment Time Comparison
Bar length shows time spent in each segment. Color indicates pace quality: green = fast pace, yellow = moderate, red = slow pace.
Time at Fast Pace
0:00
0% of race
Time at Moderate Pace
1:35:30
87% of race
Time at Slow Pace
13:39
13% of race
Average Pace: 8:19 /mi
🎨Heatmap
Pace Heatmap
Visual intensity map of your pacing throughout the race. Green = fastest, yellow = moderate, red = slowest.
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 | 07:24:52 | 24:52 | 8:01 | 24:52 | 8:01 | #6282 | |
10K | 6.21 mi | 07:49:25 | 49:25 | 7:58 | 24:33 | 7:55 | #6106 | |
15K | 9.32 mi | 08:12:23 | 1:12:23 | 7:46 | 22:58 | 7:24 | #5234 | |
20K | 12.43 mi | 08:35:30 | 1:35:30 | 7:42 | 23:07 | 7:27 | #4821 | |
FINISH | 13.11 mi | 08:49:09 | 1:49:09 | 8:20 | 13:39 | 20:02 | #4717 |
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | W1-19 | Seg. Overall | Seg. Females | Seg. W1-19 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 6282 | 1556 | 12 | 3795(Top 13%) | 775(Top 5%) | 4(Top 3%) |
| 10K | 6.21 mi | 3.10 mi | 6106+176 | 1512+44 | 12 | 6025(Top 20%) | 1498(Top 10%) | 13(Top 10%) |
| 15K | 9.32 mi | 3.11 mi | 5234+872 | 1233+279 | 11+1 | 3795(Top 13%) | 775(Top 5%) | 4(Top 3%) |
| 20K | 12.43 mi | 3.11 mi | 4821+413 | 1103+130 | 10+1 | 3753(Top 12%) | 764(Top 5%) | 7(Top 5%) |
| FINISH | 13.11 mi | 0.68 mi | 4717+104 | 1111-8 | 9+1 | 5579(Top 18%) | 1451(Top 9%) | 9(Top 7%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
3795
Females
775
W1-19
4
5K→10K
3.1 - 6.2 mi
Overall
6025
Females
1498
W1-19
13
10K→15K
6.2 - 9.3 mi
Overall
3795
Females
775
W1-19
4
15K→20K
9.3 - 12.4 mi
Overall
3753
Females
764
W1-19
7
20K→FINISH
12.4 - 13.1 mi
Overall
5579
Females
1451
W1-19
9
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 | - | - | - | - | #6282 |
| 5K → 10K | 342* | 166 | +176 | #6282 | #6106 |
| 10K → 15K | 875* | 3 | +872 | #6106 | #5234 |
| 15K → 20K | 429* | 16 | +413 | #5234 | #4821 |
| 20K → FINISH | 304* | 200 | +104 | #4821 | #4717 |
| TOTALS | 1950* | 385 | +1565 |
* 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
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Questions or issues regarding timing data?
If you notice any discrepancies in your timing data or have questions about your results, our support team can help.
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