Amir Shalom
Bib: 11526 β’M β’Age: 37
Millwood, 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 | 07:28:28 | 28:28 | 9:10 | 28:28 | 9:10 | - |
10K | 6.21 mi | 07:56:42 | 56:42 | 9:08 | 28:14 | 9:06 | -0:04 |
15K | 9.32 mi | 08:25:05 | 1:25:05 | 9:08 | 28:23 | 9:09 | +0:03 |
20K | 12.43 mi | 08:54:26 | 1:54:26 | 9:13 | 29:21 | 9:27 | +0:18 |
FINISH | 13.11 mi | 09:28:29 | 2:28:29 | 11:20 | 34:03 | 49:58 | +40:31 |
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
9:06 /mi
Average Pace
11:20 /mi
Slowest Pace
49:58 /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
1:54:26
77% of race
Time at Slower Pace
34:03
23% of race
Average Pace: 11:20 /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 | 07:28:28 | 28:28 | 9:10 | 28:28 | 9:10 | #13567 | |
10K | 6.21 mi | 07:56:42 | 56:42 | 9:08 | 28:14 | 9:06 | #13398 | |
15K | 9.32 mi | 08:25:05 | 1:25:05 | 9:08 | 28:23 | 9:09 | #13495 | |
20K | 12.43 mi | 08:54:26 | 1:54:26 | 9:13 | 29:21 | 9:27 | #13788 | |
FINISH | 13.11 mi | 09:28:29 | 2:28:29 | 11:20 | 34:03 | 49:58 | #10380 |
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 | 13567 | 8840 | 1500 | 13728(Top 45%) | 8866(Top 60%) | 1488(Top 61%) |
| 10K | 6.21 mi | 3.10 mi | 13398+169 | 8740+100 | 1471+29 | 13277(Top 44%) | 8655(Top 58%) | 1455(Top 59%) |
| 15K | 9.32 mi | 3.11 mi | 13495-97 | 8796-56 | 1480-9 | 13728(Top 45%) | 8866(Top 60%) | 1488(Top 61%) |
| 20K | 12.43 mi | 3.11 mi | 13788-293 | 8918-122 | 1497-17 | 14668(Top 49%) | 9195(Top 62%) | 1552(Top 63%) |
| FINISH | 13.11 mi | 0.68 mi | 10380+3408 | 7124+1794 | 1227+270 | 9914(Top 33%) | 6798(Top 46%) | 1165(Top 48%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
13728
Males
8866
M35-39
1488
5Kβ10K
3.1 - 6.2 mi
Overall
13277
Males
8655
M35-39
1455
10Kβ15K
6.2 - 9.3 mi
Overall
13728
Males
8866
M35-39
1488
15Kβ20K
9.3 - 12.4 mi
Overall
14668
Males
9195
M35-39
1552
20KβFINISH
12.4 - 13.1 mi
Overall
9914
Males
6798
M35-39
1165
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 | - | - | - | - | #13567 |
| 5K β 10K | 369* | 200 | +169 | #13567 | #13398 |
| 10K β 15K | 200 | 200 | -97 | #13398 | #13495 |
| 15K β 20K | 200 | 200 | -293 | #13495 | #13788 |
| 20K β FINISH | 3608* | 200 | +3408 | #13788 | #10380 |
| TOTALS | 4377* | 800 | +3187 |
* 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.
πPosition Graph
π¨Heatmap Timeline
πPassing Circle
πPosition Flow
πRace Lanes
AI Key Insights
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Activity Data
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