Leah Sicat
Bib: 10201 β’F β’Age: 35
Walnut Creek, 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 | 07:48:11 | 34:49 | 11:13 | 34:49 | 11:13 | - |
10K | 6.21 mi | 08:19:21 | 1:05:59 | 10:38 | 31:10 | 10:02 | -1:11 |
15K | 9.32 mi | 08:54:14 | 1:40:52 | 10:50 | 34:53 | 11:14 | +1:12 |
Half | 13.10 mi | 09:42:22 | 2:29:00 | 11:23 | 48:08 | 12:45 | +1:31 |
25K | 15.53 mi | 10:14:38 | 3:01:16 | 11:41 | 32:16 | 13:15 | +0:30 |
30K | 18.64 mi | 11:04:39 | 3:51:17 | 12:25 | 50:01 | 16:06 | +2:51 |
35K | 21.75 mi | 11:59:07 | 4:45:45 | 13:09 | 54:28 | 17:32 | +1:26 |
40K | 24.85 mi | 12:51:36 | 5:38:14 | 13:37 | 52:29 | 16:54 | -0:38 |
Finish | 26.22 mi | 13:13:32 | 6:00:10 | 13:45 | 21:56 | 16:05 | -0:49 |
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
10:02 /mi
Average Pace
13:45 /mi
Slowest Pace
17:32 /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
1:40:52
28% of race
Time at Steady Pace
1:20:24
22% of race
Time at Slower Pace
2:58:54
50% of race
Average Pace: 13:44 /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 | 07:48:11 | 34:49 | 11:13 | 34:49 | 11:13 | #7199 | |
10K | 6.21 mi | 08:19:21 | 1:05:59 | 10:38 | 31:10 | 10:02 | #6746 | |
15K | 9.32 mi | 08:54:14 | 1:40:52 | 10:50 | 34:53 | 11:14 | #6690 | |
Half | 13.10 mi | 09:42:22 | 2:29:00 | 11:23 | 48:08 | 12:45 | #6990 | |
25K | 15.53 mi | 10:14:38 | 3:01:16 | 11:41 | 32:16 | 13:15 | #7038 | |
30K | 18.64 mi | 11:04:39 | 3:51:17 | 12:25 | 50:01 | 16:06 | #7260 | |
35K | 21.75 mi | 11:59:07 | 4:45:45 | 13:09 | 54:28 | 17:32 | #7427 | |
40K | 24.85 mi | 12:51:36 | 5:38:14 | 13:37 | 52:29 | 16:54 | #7495 | |
Finish | 26.22 mi | 13:13:32 | 6:00:10 | 13:45 | 21:56 | 16:05 | #7526 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F35-39 | Seg. Overall | Seg. Females | Seg. F35-39 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 7199 | 3228 | 576 | 6685(Top 86%) | 2918(Top 80%) | 505(Top 82%) |
| 10K | 6.21 mi | 3.10 mi | 6746+453 | 2948+280 | 522+54 | 6140(Top 79%) | 2607(Top 72%) | 461(Top 75%) |
| 15K | 9.32 mi | 3.11 mi | 6690+56 | 2912+36 | 512+10 | 6685(Top 86%) | 2918(Top 80%) | 505(Top 82%) |
| Half | 13.10 mi | 3.78 mi | 6990-300 | 3104-192 | 549-37 | 7361(Top 94%) | 3360(Top 92%) | 584(Top 94%) |
| 25K | 15.53 mi | 2.43 mi | 7038-48 | 3147-43 | 558-9 | 7160(Top 92%) | 3258(Top 90%) | 574(Top 93%) |
| 30K | 18.64 mi | 3.11 mi | 7260-222 | 3304-157 | 585-27 | 7703(Top 99%) | 3603(Top 99%) | 623(Top 101%) |
| 35K | 21.75 mi | 3.11 mi | 7427-167 | 3418-114 | 599-14 | 7735(Top 99%) | 3610(Top 99%) | 624(Top 101%) |
| 40K | 24.85 mi | 3.10 mi | 7495-68 | 3470-52 | 607-8 | 7648(Top 98%) | 3584(Top 99%) | 623(Top 101%) |
| Finish | 26.22 mi | 1.37 mi | 7526-31 | 3493-23 | 608-1 | 7652(Top 98%) | 3579(Top 98%) | 622(Top 101%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
6685
Females
2918
F35-39
505
5Kβ10K
3.1 - 6.2 mi
Overall
6140
Females
2607
F35-39
461
10Kβ15K
6.2 - 9.3 mi
Overall
6685
Females
2918
F35-39
505
15KβHalf
9.3 - 13.1 mi
Overall
7361
Females
3360
F35-39
584
Halfβ25K
13.1 - 15.5 mi
Overall
7160
Females
3258
F35-39
574
25Kβ30K
15.5 - 18.6 mi
Overall
7703
Females
3603
F35-39
623
30Kβ35K
18.6 - 21.8 mi
Overall
7735
Females
3610
F35-39
624
35Kβ40K
21.8 - 24.9 mi
Overall
7648
Females
3584
F35-39
623
40KβFinish
24.9 - 26.2 mi
Overall
7652
Females
3579
F35-39
622
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 | - | - | - | - | #7199 |
| 5K β 10K | 453* | 0 | +453 | #7199 | #6746 |
| 10K β 15K | 99 | 43 | +56 | #6746 | #6690 |
| 15K β Half | 11 | 200 | -300 | #6690 | #6990 |
| Half β 25K | 37 | 85 | -48 | #6990 | #7038 |
| 25K β 30K | 3 | 200 | -222 | #7038 | #7260 |
| 30K β 35K | 2 | 169 | -167 | #7260 | #7427 |
| 35K β 40K | 7 | 75 | -68 | #7427 | #7495 |
| 40K β Finish | 2 | 33 | -31 | #7495 | #7526 |
| TOTALS | 614* | 805 | -327 |
* 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
Qualifying & Age Grade
See how your performance stacks up against qualifying standards
Boston Qualifying analysis available
NYC Marathon Qualifying analysis available
Finisher Certificate
Download and share your official race completion certificate
Your certificate is generated on-demand and can be shared on social media or saved for your records
Activity Data
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.gpx files up to 10MB
Export & Support
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Export Track Data
Download your race performance as a GPX or TCX file to import into Strava, Garmin Connect, or other fitness apps.
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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