Alexandra Michell
Bib: 6134 β’F β’Age: 32
Mammoth Lakes, CA

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
Half Splits
Checkpoint Splits
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment Time | Segment Pace | Diff |
|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 07:32:28 | 26:36 | 8:34 | 26:36 | 8:34 | - |
10K | 6.21 mi | 07:58:48 | 52:56 | 8:32 | 26:20 | 8:29 | -0:05 |
15K | 9.32 mi | 08:25:24 | 1:19:33 | 8:33 | 26:37 | 8:34 | +0:05 |
20K | 12.43 mi | 08:51:35 | 1:45:44 | 8:31 | 26:11 | 8:26 | -0:08 |
Half | 13.10 mi | 08:57:17 | 1:51:26 | 8:31 | 5:42 | 8:30 | +0:04 |
25K | 15.53 mi | 09:18:17 | 2:12:26 | 8:32 | 21:00 | 8:38 | +0:08 |
30K | 18.64 mi | 09:44:43 | 2:38:51 | 8:32 | 26:26 | 8:31 | -0:07 |
35K | 21.75 mi | 10:10:49 | 3:04:58 | 8:31 | 26:07 | 8:25 | -0:06 |
40K | 24.85 mi | 10:36:12 | 3:30:21 | 8:28 | 25:23 | 8:11 | -0:14 |
Finish | 26.22 mi | 10:47:03 | 3:41:12 | 8:27 | 10:51 | 7:58 | -0:13 |
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
7:58 /mi
Average Pace
8:27 /mi
Slowest Pace
8:38 /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
36:14
16% of race
Time at Steady Pace
3:04:58
84% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 8:26 /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 | 07:32:28 | 26:36 | 8:34 | 26:36 | 8:34 | #4494 | |
10K | 6.21 mi | 07:58:48 | 52:56 | 8:32 | 26:20 | 8:29 | #4526 | |
15K | 9.32 mi | 08:25:24 | 1:19:33 | 8:33 | 26:37 | 8:34 | #4484 | |
20K | 12.43 mi | 08:51:35 | 1:45:44 | 8:31 | 26:11 | 8:26 | #4403 | |
Half | 13.10 mi | 08:57:17 | 1:51:26 | 8:31 | 5:42 | 8:30 | #4398 | |
25K | 15.53 mi | 09:18:17 | 2:12:26 | 8:32 | 21:00 | 8:38 | #4402 | |
30K | 18.64 mi | 09:44:43 | 2:38:51 | 8:32 | 26:26 | 8:31 | #4313 | |
35K | 21.75 mi | 10:10:49 | 3:04:58 | 8:31 | 26:07 | 8:25 | #4180 | |
40K | 24.85 mi | 10:36:12 | 3:30:21 | 8:28 | 25:23 | 8:11 | #4011 | |
Finish | 26.22 mi | 10:47:03 | 3:41:12 | 8:27 | 10:51 | 7:58 | #3950 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F30-34 | Seg. Overall | Seg. Females | Seg. F30-34 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 4494 | 1284 | 315 | 4387(Top 54%) | 1242(Top 41%) | 309(Top 50%) |
| 10K | 6.21 mi | 3.10 mi | 4526-32 | 1305-21 | 317-2 | 4582(Top 56%) | 1333(Top 44%) | 324(Top 53%) |
| 15K | 9.32 mi | 3.11 mi | 4484+42 | 1286+19 | 316+1 | 4387(Top 54%) | 1242(Top 41%) | 309(Top 50%) |
| 20K | 12.43 mi | 3.11 mi | 4403+81 | 1255+31 | 313+3 | 4199(Top 51%) | 1161(Top 38%) | 300(Top 49%) |
| Half | 13.10 mi | 0.67 mi | 4398+5 | 1250+5 | 313 | 4463(Top 55%) | 1263(Top 42%) | 310(Top 51%) |
| 25K | 15.53 mi | 2.43 mi | 4402-4 | 1253-3 | 310+3 | 4485(Top 55%) | 1295(Top 43%) | 317(Top 52%) |
| 30K | 18.64 mi | 3.11 mi | 4313+89 | 1222+31 | 304+6 | 4073(Top 50%) | 1142(Top 38%) | 291(Top 48%) |
| 35K | 21.75 mi | 3.11 mi | 4180+133 | 1178+44 | 298+6 | 3545(Top 43%) | 984(Top 32%) | 264(Top 43%) |
| 40K | 24.85 mi | 3.10 mi | 4011+169 | 1131+47 | 291+7 | 3095(Top 38%) | 850(Top 28%) | 243(Top 40%) |
| Finish | 26.22 mi | 1.37 mi | 3950+61 | 1113+18 | 289+2 | 3117(Top 38%) | 866(Top 29%) | 242(Top 40%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
4387
Females
1242
F30-34
309
5Kβ10K
3.1 - 6.2 mi
Overall
4582
Females
1333
F30-34
324
10Kβ15K
6.2 - 9.3 mi
Overall
4387
Females
1242
F30-34
309
15Kβ20K
9.3 - 12.4 mi
Overall
4199
Females
1161
F30-34
300
20KβHalf
12.4 - 13.1 mi
Overall
4463
Females
1263
F30-34
310
Halfβ25K
13.1 - 15.5 mi
Overall
4485
Females
1295
F30-34
317
25Kβ30K
15.5 - 18.6 mi
Overall
4073
Females
1142
F30-34
291
30Kβ35K
18.6 - 21.8 mi
Overall
3545
Females
984
F30-34
264
35Kβ40K
21.8 - 24.9 mi
Overall
3095
Females
850
F30-34
243
40KβFinish
24.9 - 26.2 mi
Overall
3117
Females
866
F30-34
242
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 | - | - | - | - | #4494 |
| 5K β 10K | 50 | 82 | -32 | #4494 | #4526 |
| 10K β 15K | 57 | 15 | +42 | #4526 | #4484 |
| 15K β 20K | 90 | 9 | +81 | #4484 | #4403 |
| 20K β Half | 10 | 5 | +5 | #4403 | #4398 |
| Half β 25K | 39 | 43 | -4 | #4398 | #4402 |
| 25K β 30K | 101 | 12 | +89 | #4402 | #4313 |
| 30K β 35K | 138 | 5 | +133 | #4313 | #4180 |
| 35K β 40K | 178 | 9 | +169 | #4180 | #4011 |
| 40K β Finish | 66 | 5 | +61 | #4011 | #3950 |
| TOTALS | 729 | 185 | +544 |
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
Qualifying & Age Grade
See how your performance stacks up against qualifying standards
Boston Qualifying analysis available
NYC Marathon Qualifying analysis available
Olympic Trials Qualifying analysis available
Finisher Certificate
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Your certificate is generated on-demand and can be shared on social media or saved for your records
Activity Data
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Export & Support
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Export Track Data
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Questions or issues regarding timing data?
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