Michael Lazell
Bib: 28992 β’M β’Age: 62
Chesterfield, VA

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 | 07:39:05 | 39:05 | 12:35 | 39:05 | 12:35 | - |
10K | 6.21 mi | 08:20:55 | 1:20:55 | 13:02 | 41:50 | 13:28 | +0:53 |
15K | 9.32 mi | 09:03:49 | 2:03:49 | 13:18 | 42:54 | 13:49 | +0:21 |
20K | 12.43 mi | 09:48:24 | 2:48:24 | 13:34 | 44:35 | 14:21 | +0:32 |
FINISH | 13.11 mi | 11:19:30 | 4:19:30 | 19:48 | 1:31:06 | 133:39 | +119:18 |
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
12:35 /mi
Average Pace
19:48 /mi
Slowest Pace
133:39 /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
2:48:24
65% of race
Time at Slower Pace
1:31:06
35% of race
Average Pace: 19:48 /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 | 07:39:05 | 39:05 | 12:35 | 39:05 | 12:35 | #28312 | |
10K | 6.21 mi | 08:20:55 | 1:20:55 | 13:02 | 41:50 | 13:28 | #28344 | |
15K | 9.32 mi | 09:03:49 | 2:03:49 | 13:18 | 42:54 | 13:49 | #28354 | |
20K | 12.43 mi | 09:48:24 | 2:48:24 | 13:34 | 44:35 | 14:21 | #28430 | |
FINISH | 13.11 mi | 11:19:30 | 4:19:30 | 19:48 | 1:31:06 | 133:39 | #28308 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M60-64 | Seg. Overall | Seg. Males | Seg. M60-64 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 28312 | 14387 | 465 | 28266(Top 94%) | 14321(Top 96%) | 465(Top 91%) |
| 10K | 6.21 mi | 3.10 mi | 28344-32 | 14363+24 | 461+4 | 28312(Top 94%) | 14328(Top 97%) | 458(Top 89%) |
| 15K | 9.32 mi | 3.11 mi | 28354-10 | 14365-2 | 462-1 | 28266(Top 94%) | 14321(Top 96%) | 465(Top 91%) |
| 20K | 12.43 mi | 3.11 mi | 28430-76 | 14360+5 | 463-1 | 28417(Top 94%) | 14295(Top 96%) | 462(Top 90%) |
| FINISH | 13.11 mi | 0.68 mi | 28308+122 | 14352+8 | 465-2 | 24943(Top 83%) | 13193(Top 89%) | 436(Top 85%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
28266
Males
14321
M60-64
465
5Kβ10K
3.1 - 6.2 mi
Overall
28312
Males
14328
M60-64
458
10Kβ15K
6.2 - 9.3 mi
Overall
28266
Males
14321
M60-64
465
15Kβ20K
9.3 - 12.4 mi
Overall
28417
Males
14295
M60-64
462
20KβFINISH
12.4 - 13.1 mi
Overall
24943
Males
13193
M60-64
436
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 | - | - | - | - | #28312 |
| 5K β 10K | 200 | 200 | -32 | #28312 | #28344 |
| 10K β 15K | 163 | 173 | -10 | #28344 | #28354 |
| 15K β 20K | 93 | 169 | -76 | #28354 | #28430 |
| 20K β FINISH | 322* | 200 | +122 | #28430 | #28308 |
| TOTALS | 778* | 742 | +4 |
* 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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