Arshia Arya
Bib: 25311•F•Age: 28
San Francisco, 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
Claim it — get your free Race Performance Report
An AI deep-dive into your pacing, rankings, and passing — built from your real splits and emailed to you, free.
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 |
|---|---|---|---|---|---|---|---|
2M | 2.00 mi | 09:13:09 | 26:54 | 13:27 | 26:54 | 13:27 | - |
4M | 4.00 mi | 09:41:36 | 55:21 | 13:50 | 28:27 | 14:14 | +0:47 |
6M | 6.00 mi | 10:15:52 | 1:29:37 | 14:56 | 34:16 | 17:08 | +2:54 |
8M | 8.00 mi | 10:38:34 | 1:52:19 | 14:02 | 22:42 | 11:21 | -5:47 |
10M | 10.00 mi | 11:10:02 | 2:23:47 | 14:23 | 31:28 | 15:44 | +4:23 |
12M | 12.00 mi | 11:45:32 | 2:59:17 | 14:56 | 35:30 | 17:45 | +2:01 |
Finish | 13.11 mi | 12:03:30 | 3:17:15 | 15:03 | 17:58 | 16:12 | -1:33 |
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
11:21 /mi
Average Pace
15:03 /mi
Slowest Pace
17:45 /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
1:18:03
40% of race
Time at Steady Pace
49:26
25% of race
Time at Slower Pace
1:09:46
35% of race
Average Pace: 15:03 /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 |
|---|---|---|---|---|---|---|---|---|
2M | 2.00 mi | 09:13:09 | 26:54 | 13:27 | 26:54 | 13:27 | #3656 | |
4M | 4.00 mi | 09:41:36 | 55:21 | 13:50 | 28:27 | 14:14 | #3704 | |
6M | 6.00 mi | 10:15:52 | 1:29:37 | 14:56 | 34:16 | 17:08 | #3699 | |
8M | 8.00 mi | 10:38:34 | 1:52:19 | 14:02 | 22:42 | 11:21 | #3700 | |
10M | 10.00 mi | 11:10:02 | 2:23:47 | 14:23 | 31:28 | 15:44 | #3701 | |
12M | 12.00 mi | 11:45:32 | 2:59:17 | 14:56 | 35:30 | 17:45 | #3714 | |
Finish | 13.11 mi | 12:03:30 | 3:17:15 | 15:03 | 17:58 | 16:12 | #3705 |
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 |
|---|---|---|---|---|---|---|---|---|
| 2M | 2.00 mi | 2.00 mi | 3656 | 1647 | 474 | 3735(Top 97%) | 1714(Top 97%) | 483(Top 98%) |
| 4M | 4.00 mi | 2.00 mi | 3704-48 | 1680-33 | 475-1 | 3701(Top 96%) | 1682(Top 96%) | 479(Top 97%) |
| 6M | 6.00 mi | 2.00 mi | 3699+5 | 1675+5 | 476-1 | 3658(Top 95%) | 1649(Top 94%) | 469(Top 95%) |
| 8M | 8.00 mi | 2.00 mi | 3700-1 | 1678-3 | 476 | 3691(Top 96%) | 1680(Top 95%) | 474(Top 96%) |
| 10M | 10.00 mi | 2.00 mi | 3701-1 | 1679-1 | 477-1 | 3684(Top 96%) | 1677(Top 95%) | 477(Top 96%) |
| 12M | 12.00 mi | 2.00 mi | 3714-13 | 1690-11 | 479-2 | 3735(Top 97%) | 1714(Top 97%) | 483(Top 98%) |
| Finish | 13.11 mi | 1.11 mi | 3705+9 | 1684+6 | 477+2 | 3646(Top 95%) | 1656(Top 94%) | 467(Top 94%) |
Segment Performance Analysis
10M→12M
0.0 - 2.0 mi
Overall
3735
Females
1714
F25-29
484
2M→4M
2.0 - 4.0 mi
Overall
3701
Females
1682
F25-29
480
4M→6M
4.0 - 6.0 mi
Overall
3658
Females
1649
F25-29
470
6M→8M
6.0 - 8.0 mi
Overall
3691
Females
1680
F25-29
475
8M→10M
8.0 - 10.0 mi
Overall
3684
Females
1677
F25-29
478
10M→12M
10.0 - 12.0 mi
Overall
3735
Females
1714
F25-29
484
12M→Finish
12.0 - 13.1 mi
Overall
3646
Females
1656
F25-29
467
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 → 2M | - | - | - | - | #3656 |
| 2M → 4M | 12 | 60 | -48 | #3656 | #3704 |
| 4M → 6M | 16 | 11 | +5 | #3704 | #3699 |
| 6M → 8M | 6* | 7 | -1 | #3699 | #3700 |
| 8M → 10M | 11* | 12 | -1 | #3700 | #3701 |
| 10M → 12M | 3 | 16 | -13 | #3701 | #3714 |
| 12M → Finish | 11* | 2 | +9 | #3714 | #3705 |
| TOTALS | 59* | 108 | -49 |
* 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
Upload your GPX file
Supports Garmin, Apple Watch, Polar, Suunto, COROS, Strava, and other apps
.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.
Contact Race SupportQuick Links
Explore more race data and athlete comparisons
Official Timing Data
Enhanced athlete results built from official timing data.
Race managed by
The San Francisco Marathon
