Mikha Tana
Bib: 23632•F•Age: 34
Chula Vista, 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 | 09:04:01 | 23:54 | 11:57 | 23:54 | 11:57 | - |
4M | 4.00 mi | 09:26:02 | 45:55 | 11:29 | 22:01 | 11:01 | -0:56 |
6M | 6.00 mi | 09:56:12 | 1:16:05 | 12:41 | 30:10 | 15:05 | +4:04 |
8M | 8.00 mi | 10:17:20 | 1:37:13 | 12:09 | 21:08 | 10:34 | -4:31 |
10M | 10.00 mi | 10:44:39 | 2:04:32 | 12:27 | 27:19 | 13:40 | +3:06 |
12M | 12.00 mi | 11:12:51 | 2:32:44 | 12:44 | 28:12 | 14:06 | +0:26 |
Finish | 13.11 mi | 11:29:01 | 2:48:54 | 12:53 | 16:10 | 14:35 | +0:29 |
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
10:34 /mi
Average Pace
12:53 /mi
Slowest Pace
15:05 /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
1:07:03
40% of race
Time at Steady Pace
55:31
33% of race
Time at Slower Pace
46:20
27% of race
Average Pace: 12:53 /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 | 09:04:01 | 23:54 | 11:57 | 23:54 | 11:57 | #3290 | |
4M | 4.00 mi | 09:26:02 | 45:55 | 11:29 | 22:01 | 11:01 | #3093 | |
6M | 6.00 mi | 09:56:12 | 1:16:05 | 12:41 | 30:10 | 15:05 | #3182 | |
8M | 8.00 mi | 10:17:20 | 1:37:13 | 12:09 | 21:08 | 10:34 | #3279 | |
10M | 10.00 mi | 10:44:39 | 2:04:32 | 12:27 | 27:19 | 13:40 | #3295 | |
12M | 12.00 mi | 11:12:51 | 2:32:44 | 12:44 | 28:12 | 14:06 | #3291 | |
Finish | 13.11 mi | 11:29:01 | 2:48:54 | 12:53 | 16:10 | 14:35 | #3309 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F30-34 | Seg. Overall | Seg. Females | Seg. F30-34 |
|---|---|---|---|---|---|---|---|---|
| 2M | 2.00 mi | 2.00 mi | 3290 | 1416 | 340 | 3234(Top 84%) | 1407(Top 80%) | 345(Top 85%) |
| 4M | 4.00 mi | 2.00 mi | 3093+197 | 1297+119 | 318+22 | 2889(Top 75%) | 1176(Top 67%) | 292(Top 72%) |
| 6M | 6.00 mi | 2.00 mi | 3182-89 | 1345-48 | 325-7 | 3274(Top 85%) | 1399(Top 79%) | 334(Top 82%) |
| 8M | 8.00 mi | 2.00 mi | 3279-97 | 1409-64 | 336-11 | 3546(Top 92%) | 1582(Top 90%) | 376(Top 92%) |
| 10M | 10.00 mi | 2.00 mi | 3295-16 | 1419-10 | 342-6 | 3344(Top 87%) | 1463(Top 83%) | 349(Top 86%) |
| 12M | 12.00 mi | 2.00 mi | 3291+4 | 1422-3 | 343-1 | 3234(Top 84%) | 1407(Top 80%) | 345(Top 85%) |
| Finish | 13.11 mi | 1.11 mi | 3309-18 | 1440-18 | 345-2 | 3424(Top 89%) | 1527(Top 87%) | 365(Top 89%) |
Segment Performance Analysis
10M→12M
0.0 - 2.0 mi
Overall
3234
Females
1407
F30-34
345
2M→4M
2.0 - 4.0 mi
Overall
2889
Females
1176
F30-34
293
4M→6M
4.0 - 6.0 mi
Overall
3274
Females
1399
F30-34
334
6M→8M
6.0 - 8.0 mi
Overall
3546
Females
1582
F30-34
376
8M→10M
8.0 - 10.0 mi
Overall
3344
Females
1463
F30-34
349
10M→12M
10.0 - 12.0 mi
Overall
3234
Females
1407
F30-34
345
12M→Finish
12.0 - 13.1 mi
Overall
3424
Females
1527
F30-34
365
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 | - | - | - | - | #3290 |
| 2M → 4M | 203 | 6 | +197 | #3290 | #3093 |
| 4M → 6M | 26 | 115 | -89 | #3093 | #3182 |
| 6M → 8M | 12* | 109 | -97 | #3182 | #3279 |
| 8M → 10M | 22* | 38 | -16 | #3279 | #3295 |
| 10M → 12M | 27 | 23 | +4 | #3295 | #3291 |
| 12M → Finish | 12* | 30 | -18 | #3291 | #3309 |
| TOTALS | 302* | 321 | -19 |
* 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
