Cindy Young
Bib: 26460•F•Age: 62
Oakland, 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 | 09:01:50 | 23:29 | 11:44 | 23:29 | 11:44 | - |
4M | 4.00 mi | 09:23:32 | 45:11 | 11:18 | 21:42 | 10:51 | -0:53 |
6M | 6.00 mi | 09:52:59 | 1:14:38 | 12:26 | 29:27 | 14:43 | +3:52 |
8M | 8.00 mi | 10:11:32 | 1:33:11 | 11:39 | 18:33 | 9:16 | -5:27 |
10M | 10.00 mi | 10:38:33 | 2:00:12 | 12:01 | 27:01 | 13:31 | +4:15 |
12M | 12.00 mi | 11:07:02 | 2:28:41 | 12:23 | 28:29 | 14:14 | +0:43 |
Finish | 13.11 mi | 11:21:33 | 2:43:12 | 12:27 | 14:31 | 13:05 | -1:09 |
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
9:16 /mi
Average Pace
12:27 /mi
Slowest Pace
14:43 /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
1:03:44
39% of race
Time at Steady Pace
41:32
25% of race
Time at Slower Pace
57:56
35% of race
Average Pace: 12:27 /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 | 09:01:50 | 23:29 | 11:44 | 23:29 | 11:44 | #3187 | |
4M | 4.00 mi | 09:23:32 | 45:11 | 11:18 | 21:42 | 10:51 | #2995 | |
6M | 6.00 mi | 09:52:59 | 1:14:38 | 12:26 | 29:27 | 14:43 | #3091 | |
8M | 8.00 mi | 10:11:32 | 1:33:11 | 11:39 | 18:33 | 9:16 | #3098 | |
10M | 10.00 mi | 10:38:33 | 2:00:12 | 12:01 | 27:01 | 13:31 | #3135 | |
12M | 12.00 mi | 11:07:02 | 2:28:41 | 12:23 | 28:29 | 14:14 | #3174 | |
Finish | 13.11 mi | 11:21:33 | 2:43:12 | 12:27 | 14:31 | 13:05 | #3157 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F60-64 | Seg. Overall | Seg. Females | Seg. F60-64 |
|---|---|---|---|---|---|---|---|---|
| 2M | 2.00 mi | 2.00 mi | 3187 | 1352 | 13 | 3266(Top 85%) | 1427(Top 81%) | 16(Top 55%) |
| 4M | 4.00 mi | 2.00 mi | 2995+192 | 1247+105 | 10+3 | 2818(Top 73%) | 1130(Top 64%) | 9(Top 31%) |
| 6M | 6.00 mi | 2.00 mi | 3091-96 | 1293-46 | 12-2 | 3184(Top 83%) | 1344(Top 76%) | 14(Top 48%) |
| 8M | 8.00 mi | 2.00 mi | 3098-7 | 1293 | 12 | 3089(Top 80%) | 1303(Top 74%) | 12(Top 41%) |
| 10M | 10.00 mi | 2.00 mi | 3135-37 | 1323-30 | 13-1 | 3307(Top 86%) | 1437(Top 82%) | 17(Top 59%) |
| 12M | 12.00 mi | 2.00 mi | 3174-39 | 1350-27 | 13 | 3266(Top 85%) | 1427(Top 81%) | 16(Top 55%) |
| Finish | 13.11 mi | 1.11 mi | 3157+17 | 1345+5 | 13 | 3079(Top 80%) | 1330(Top 76%) | 12(Top 41%) |
Segment Performance Analysis
10M→12M
0.0 - 2.0 mi
Overall
3266
Females
1427
F60-64
16
2M→4M
2.0 - 4.0 mi
Overall
2818
Females
1130
F60-64
9
4M→6M
4.0 - 6.0 mi
Overall
3184
Females
1344
F60-64
14
6M→8M
6.0 - 8.0 mi
Overall
3089
Females
1303
F60-64
12
8M→10M
8.0 - 10.0 mi
Overall
3307
Females
1437
F60-64
17
10M→12M
10.0 - 12.0 mi
Overall
3266
Females
1427
F60-64
16
12M→Finish
12.0 - 13.1 mi
Overall
3079
Females
1330
F60-64
12
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 | - | - | - | - | #3187 |
| 2M → 4M | 200 | 8 | +192 | #3187 | #2995 |
| 4M → 6M | 22 | 118 | -96 | #2995 | #3091 |
| 6M → 8M | 27* | 34 | -7 | #3091 | #3098 |
| 8M → 10M | 18* | 55 | -37 | #3098 | #3135 |
| 10M → 12M | 16 | 55 | -39 | #3135 | #3174 |
| 12M → Finish | 26* | 9 | +17 | #3174 | #3157 |
| TOTALS | 309* | 279 | +30 |
* 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
