Official Timing Data
Enhanced athlete results built from official timing data.
Race timed and managed by
Capital Road Race Management
Holly Longacre
Bib: 737 •F •Age: 39
Sacramento, 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
Checkpoint Splits
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment Time | Segment Pace | Diff |
|---|---|---|---|---|---|---|---|
1M | 1.00 mi | 09:02:07 | 13:35 | 13:36 | 13:35 | 13:36 | - |
2M | 2.00 mi | 09:17:57 | 29:25 | 14:43 | 15:50 | 15:51 | +2:15 |
3M | 3.00 mi | 09:33:27 | 44:56 | 14:59 | 15:30 | 15:31 | -0:20 |
FINISH | 3.11 mi | 09:34:28 | 45:56 | 14:48 | 1:00 | 9:26 | -6:05 |
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
9:26 /mi
Average Pace
14:47 /mi
Slowest Pace
15:51 /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
14:36
32% of race
Time at Steady Pace
31:21
68% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 14:46 /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 |
|---|---|---|---|---|---|---|---|---|
1M | 1.00 mi | 09:02:07 | 13:35 | 13:36 | 13:35 | 13:36 | #722 | |
2M | 2.00 mi | 09:17:57 | 29:25 | 14:43 | 15:50 | 15:51 | #734 | |
3M | 3.00 mi | 09:33:27 | 44:56 | 14:59 | 15:30 | 15:31 | #743 | |
FINISH | 3.11 mi | 09:34:28 | 45:56 | 14:48 | 1:00 | 9:26 | #733 |
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 |
|---|---|---|---|---|---|---|---|---|
| 1M | 1.00 mi | 1.00 mi | 722 | 364 | 65 | 722(Top 74%) | 364(Top 66%) | 65(Top 64%) |
| 2M | 2.00 mi | 1.00 mi | 734-12 | 373-9 | 68-3 | 772(Top 79%) | 401(Top 73%) | 73(Top 72%) |
| 3M | 3.00 mi | 1.00 mi | 743-9 | 378-5 | 67+1 | 745(Top 76%) | 382(Top 69%) | 68(Top 67%) |
| FINISH | 3.11 mi | 0.11 mi | 733+10 | 370+8 | 66+1 | 596(Top 61%) | 279(Top 51%) | 46(Top 46%) |
Segment Performance Analysis
Start → 1M
0.0 - 1.0 mi
Overall
722
Females
364
F35-39
65
1M→2M
1.0 - 2.0 mi
Overall
772
Females
401
F35-39
73
2M→3M
2.0 - 3.0 mi
Overall
745
Females
382
F35-39
68
3M→FINISH
3.0 - 3.1 mi
Overall
596
Females
279
F35-39
46
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 → 1M | - | - | - | - | #722 |
| 1M → 2M | 8* | 20 | -12 | #722 | #734 |
| 2M → 3M | 4 | 13 | -9 | #734 | #743 |
| 3M → FINISH | 10* | 0 | +10 | #743 | #733 |
| TOTALS | 22* | 33 | -11 |
* 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.
📈Position Graph
🎨Heatmap Timeline
🔄Passing Circle
🌊Position Flow
🏃Race Lanes
Activity Data
Upload your GPX file to see detailed activity metrics
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.gpx files up to 10MB
Export & Support
Download your data, get help, and share your feedback
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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