Jeremy Schnur
Bib: 4184 •M •Age: 48
CAMPBELL, CA

Race Timeline and Course Information
Your journey through the course with elevation, pacing, and checkpoint details
⏱️ 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 | 07:55:54 | 32:37 | 10:30 | 32:37 | 10:30 | - |
10K | 6.21 mi | 08:29:13 | 1:05:56 | 10:37 | 33:19 | 10:44 | +0:14 |
15K | 9.32 mi | 09:07:31 | 1:44:14 | 11:11 | 38:18 | 12:20 | +1:36 |
Half | 13.10 mi | 09:51:04 | 2:27:47 | 11:18 | 43:33 | 11:32 | -0:48 |
25K | 15.53 mi | 10:19:36 | 2:56:19 | 11:22 | 28:32 | 11:43 | +0:11 |
30K | 18.64 mi | 10:57:17 | 3:34:00 | 11:29 | 37:41 | 12:08 | +0:25 |
35K | 21.75 mi | 11:36:08 | 4:12:51 | 11:38 | 38:51 | 12:31 | +0:23 |
40K | 24.85 mi | 12:16:20 | 4:53:03 | 11:48 | 40:12 | 12:57 | +0:26 |
Finish | 26.22 mi | 12:33:52 | 5:10:35 | 11:52 | 17:32 | 12:52 | -0:05 |
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. Dot colors mark your quickest to easiest segments, relative to your own pace.
Fastest Pace
10:30 /mi
Average Pace
11:51 /mi
Slowest Pace
12:57 /mi
📊Segments
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
2:18:01
44% of race
Time at Steady Pace
1:54:50
37% of race
Time at Slower Pace
57:44
19% of race
Average Pace: 11:51 /mi
🎨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
✨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 | 07:55:54 | 32:37 | 10:30 | 32:37 | 10:30 | #7893 | |
10K | 6.21 mi | 08:29:13 | 1:05:56 | 10:37 | 33:19 | 10:44 | #8018 | |
15K | 9.32 mi | 09:07:31 | 1:44:14 | 11:11 | 38:18 | 12:20 | #8311 | |
Half | 13.10 mi | 09:51:04 | 2:27:47 | 11:18 | 43:33 | 11:32 | #8258 | |
25K | 15.53 mi | 10:19:36 | 2:56:19 | 11:22 | 28:32 | 11:43 | #8184 | |
30K | 18.64 mi | 10:57:17 | 3:34:00 | 11:29 | 37:41 | 12:08 | #8113 | |
35K | 21.75 mi | 11:36:08 | 4:12:51 | 11:38 | 38:51 | 12:31 | #8042 | |
40K | 24.85 mi | 12:16:20 | 4:53:03 | 11:48 | 40:12 | 12:57 | #8016 | |
Finish | 26.22 mi | 12:33:52 | 5:10:35 | 11:52 | 17:32 | 12:52 | #8019 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M45-49 | Seg. Overall | Seg. Males | Seg. M45-49 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 7893 | 4962 | 538 | 8629(Top 94%) | 5316(Top 96%) | 571(Top 96%) |
| 10K | 6.21 mi | 3.10 mi | 8018-125 | 5033-71 | 540-2 | 8131(Top 89%) | 5095(Top 92%) | 546(Top 92%) |
| 15K | 9.32 mi | 3.11 mi | 8311-293 | 5180-147 | 556-16 | 8629(Top 94%) | 5316(Top 96%) | 571(Top 96%) |
| Half | 13.10 mi | 3.78 mi | 8258+53 | 5155+25 | 554+2 | 8147(Top 89%) | 5088(Top 92%) | 542(Top 91%) |
| 25K | 15.53 mi | 2.43 mi | 8184+74 | 5109+46 | 549+5 | 7847(Top 85%) | 4915(Top 89%) | 525(Top 89%) |
| 30K | 18.64 mi | 3.11 mi | 8113+71 | 5055+54 | 541+8 | 7779(Top 85%) | 4825(Top 88%) | 521(Top 88%) |
| 35K | 21.75 mi | 3.11 mi | 8042+71 | 4998+57 | 535+6 | 7500(Top 82%) | 4613(Top 84%) | 487(Top 82%) |
| 40K | 24.85 mi | 3.10 mi | 8016+26 | 4965+33 | 533+2 | 7601(Top 83%) | 4593(Top 83%) | 477(Top 80%) |
| Finish | 26.22 mi | 1.37 mi | 8019-3 | 4968-3 | 532+1 | 8087(Top 88%) | 4873(Top 88%) | 507(Top 85%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
8629
Males
5316
M45-49
571
5K→10K
3.1 - 6.2 mi
Overall
8131
Males
5095
M45-49
546
10K→15K
6.2 - 9.3 mi
Overall
8629
Males
5316
M45-49
571
15K→Half
9.3 - 13.1 mi
Overall
8147
Males
5088
M45-49
542
Half→25K
13.1 - 15.5 mi
Overall
7847
Males
4915
M45-49
525
25K→30K
15.5 - 18.6 mi
Overall
7779
Males
4825
M45-49
521
30K→35K
18.6 - 21.8 mi
Overall
7500
Males
4613
M45-49
487
35K→40K
21.8 - 24.9 mi
Overall
7601
Males
4593
M45-49
477
40K→Finish
24.9 - 26.2 mi
Overall
8087
Males
4873
M45-49
507
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 → 5K | - | - | - | - | #7893 |
| 5K → 10K | 22 | 147 | -125 | #7893 | #8018 |
| 10K → 15K | 2 | 200 | -293 | #8018 | #8311 |
| 15K → Half | 81 | 28 | +53 | #8311 | #8258 |
| Half → 25K | 84 | 10 | +74 | #8258 | #8184 |
| 25K → 30K | 91 | 20 | +71 | #8184 | #8113 |
| 30K → 35K | 93 | 22 | +71 | #8113 | #8042 |
| 35K → 40K | 56 | 30 | +26 | #8042 | #8016 |
| 40K → Finish | 15 | 18 | -3 | #8016 | #8019 |
| TOTALS | 444 | 475 | -126 |
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
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
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
Upload your GPX file to see detailed activity metrics
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Supports Garmin, Apple Watch, Polar, Suunto, COROS, Strava, and other apps
.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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