Tamara Hope Sweetnam
Bib: 10723 β’F β’Age: 29
Palo Alto, 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 | 07:43:13 | 31:59 | 10:18 | 31:59 | 10:18 | - |
10K | 6.21 mi | 08:15:44 | 1:04:30 | 10:23 | 32:31 | 10:28 | +0:10 |
15K | 9.32 mi | 08:47:53 | 1:36:39 | 10:23 | 32:09 | 10:21 | -0:07 |
Half | 13.10 mi | 09:27:59 | 2:16:45 | 10:27 | 40:06 | 10:38 | +0:17 |
25K | 15.53 mi | 09:53:45 | 2:42:31 | 10:28 | 25:46 | 10:35 | -0:03 |
30K | 18.64 mi | 10:25:54 | 3:14:40 | 10:27 | 32:09 | 10:21 | -0:14 |
35K | 21.75 mi | 10:58:38 | 3:47:24 | 10:28 | 32:44 | 10:33 | +0:12 |
40K | 24.85 mi | 11:31:01 | 4:19:47 | 10:28 | 32:23 | 10:26 | -0:07 |
Finish | 26.22 mi | 11:44:26 | 4:33:12 | 10:26 | 13:25 | 9:51 | -0:35 |
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
9:51 /mi
Average Pace
10:26 /mi
Slowest Pace
10:38 /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
45:24
17% of race
Time at Steady Pace
3:47:48
83% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 10:25 /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 | 07:43:13 | 31:59 | 10:18 | 31:59 | 10:18 | #6417 | |
10K | 6.21 mi | 08:15:44 | 1:04:30 | 10:23 | 32:31 | 10:28 | #6489 | |
15K | 9.32 mi | 08:47:53 | 1:36:39 | 10:23 | 32:09 | 10:21 | #6285 | |
Half | 13.10 mi | 09:27:59 | 2:16:45 | 10:27 | 40:06 | 10:38 | #6249 | |
25K | 15.53 mi | 09:53:45 | 2:42:31 | 10:28 | 25:46 | 10:35 | #6108 | |
30K | 18.64 mi | 10:25:54 | 3:14:40 | 10:27 | 32:09 | 10:21 | #5926 | |
35K | 21.75 mi | 10:58:38 | 3:47:24 | 10:28 | 32:44 | 10:33 | #5736 | |
40K | 24.85 mi | 11:31:01 | 4:19:47 | 10:28 | 32:23 | 10:26 | #5517 | |
Finish | 26.22 mi | 11:44:26 | 4:33:12 | 10:26 | 13:25 | 9:51 | #5446 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F25-29 | Seg. Overall | Seg. Females | Seg. F25-29 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 6417 | 2770 | 490 | 5967(Top 76%) | 2532(Top 70%) | 470(Top 88%) |
| 10K | 6.21 mi | 3.10 mi | 6489-72 | 2811-41 | 496-6 | 6609(Top 85%) | 2870(Top 79%) | 504(Top 95%) |
| 15K | 9.32 mi | 3.11 mi | 6285+204 | 2697+114 | 488+8 | 5967(Top 76%) | 2532(Top 70%) | 470(Top 88%) |
| Half | 13.10 mi | 3.78 mi | 6249+36 | 2677+20 | 485+3 | 6135(Top 79%) | 2611(Top 72%) | 469(Top 88%) |
| 25K | 15.53 mi | 2.43 mi | 6108+141 | 2603+74 | 475+10 | 5665(Top 73%) | 2387(Top 66%) | 442(Top 83%) |
| 30K | 18.64 mi | 3.11 mi | 5926+182 | 2519+84 | 465+10 | 5172(Top 66%) | 2161(Top 59%) | 404(Top 76%) |
| 35K | 21.75 mi | 3.11 mi | 5736+190 | 2433+86 | 452+13 | 4767(Top 61%) | 2035(Top 56%) | 386(Top 73%) |
| 40K | 24.85 mi | 3.10 mi | 5517+219 | 2348+85 | 434+18 | 4356(Top 56%) | 1884(Top 52%) | 365(Top 69%) |
| Finish | 26.22 mi | 1.37 mi | 5446+71 | 2316+32 | 432+2 | 4212(Top 54%) | 1825(Top 50%) | 364(Top 68%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
5967
Females
2532
F25-29
470
5Kβ10K
3.1 - 6.2 mi
Overall
6609
Females
2870
F25-29
504
10Kβ15K
6.2 - 9.3 mi
Overall
5967
Females
2532
F25-29
470
15KβHalf
9.3 - 13.1 mi
Overall
6135
Females
2611
F25-29
469
Halfβ25K
13.1 - 15.5 mi
Overall
5665
Females
2387
F25-29
442
25Kβ30K
15.5 - 18.6 mi
Overall
5172
Females
2161
F25-29
404
30Kβ35K
18.6 - 21.8 mi
Overall
4767
Females
2035
F25-29
386
35Kβ40K
21.8 - 24.9 mi
Overall
4356
Females
1884
F25-29
365
40KβFinish
24.9 - 26.2 mi
Overall
4212
Females
1825
F25-29
364
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 | - | - | - | - | #6417 |
| 5K β 10K | 48 | 120 | -72 | #6417 | #6489 |
| 10K β 15K | 211* | 7 | +204 | #6489 | #6285 |
| 15K β Half | 84 | 48 | +36 | #6285 | #6249 |
| Half β 25K | 144 | 3 | +141 | #6249 | #6108 |
| 25K β 30K | 187 | 5 | +182 | #6108 | #5926 |
| 30K β 35K | 204* | 14 | +190 | #5926 | #5736 |
| 35K β 40K | 223* | 4 | +219 | #5736 | #5517 |
| 40K β Finish | 74 | 3 | +71 | #5517 | #5446 |
| TOTALS | 1175* | 204 | +971 |
* 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
Upload your GPX file to see detailed activity metrics
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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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