Mridul Krishna
Bib: 26327•M•Age: 34
San Jose, 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 | 09:00:10 | 19:30 | 9:45 | 19:30 | 9:45 | - |
4M | 4.00 mi | 09:20:08 | 39:28 | 9:52 | 19:58 | 9:59 | +0:14 |
6M | 6.00 mi | 09:46:36 | 1:05:56 | 10:59 | 26:28 | 13:14 | +3:15 |
8M | 8.00 mi | 10:02:43 | 1:22:03 | 10:15 | 16:07 | 8:03 | -5:11 |
10M | 10.00 mi | 10:25:00 | 1:44:20 | 10:26 | 22:17 | 11:09 | +3:06 |
12M | 12.00 mi | 10:48:04 | 2:07:24 | 10:37 | 23:04 | 11:32 | +0:23 |
Finish | 13.11 mi | 11:00:40 | 2:20:00 | 10:41 | 12:36 | 11:22 | -0:10 |
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
8:03 /mi
Average Pace
10:41 /mi
Slowest Pace
13:14 /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
55:35
40% of race
Time at Steady Pace
57:57
41% of race
Time at Slower Pace
26:28
19% of race
Average Pace: 10:41 /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 | 09:00:10 | 19:30 | 9:45 | 19:30 | 9:45 | #1811 | |
4M | 4.00 mi | 09:20:08 | 39:28 | 9:52 | 19:58 | 9:59 | #2073 | |
6M | 6.00 mi | 09:46:36 | 1:05:56 | 10:59 | 26:28 | 13:14 | #2255 | |
8M | 8.00 mi | 10:02:43 | 1:22:03 | 10:15 | 16:07 | 8:03 | #2250 | |
10M | 10.00 mi | 10:25:00 | 1:44:20 | 10:26 | 22:17 | 11:09 | #2264 | |
12M | 12.00 mi | 10:48:04 | 2:07:24 | 10:37 | 23:04 | 11:32 | #2239 | |
Finish | 13.11 mi | 11:00:40 | 2:20:00 | 10:41 | 12:36 | 11:22 | #2249 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M30-34 | Seg. Overall | Seg. Males | Seg. M30-34 |
|---|---|---|---|---|---|---|---|---|
| 2M | 2.00 mi | 2.00 mi | 1811 | 1215 | 278 | 2208(Top 57%) | 1349(Top 65%) | 297(Top 66%) |
| 4M | 4.00 mi | 2.00 mi | 2073-262 | 1336-121 | 306-28 | 2324(Top 61%) | 1446(Top 70%) | 328(Top 72%) |
| 6M | 6.00 mi | 2.00 mi | 2255-182 | 1428-92 | 324-18 | 2595(Top 68%) | 1575(Top 76%) | 360(Top 79%) |
| 8M | 8.00 mi | 2.00 mi | 2250+5 | 1427+1 | 326-2 | 2280(Top 59%) | 1438(Top 70%) | 330(Top 73%) |
| 10M | 10.00 mi | 2.00 mi | 2264-14 | 1435-8 | 326 | 2287(Top 60%) | 1426(Top 69%) | 319(Top 70%) |
| 12M | 12.00 mi | 2.00 mi | 2239+25 | 1411+24 | 319+7 | 2208(Top 57%) | 1349(Top 65%) | 297(Top 66%) |
| Finish | 13.11 mi | 1.11 mi | 2249-10 | 1413-2 | 321-2 | 2353(Top 61%) | 1412(Top 68%) | 313(Top 69%) |
Segment Performance Analysis
10M→12M
0.0 - 2.0 mi
Overall
2208
Males
1349
M30-34
297
2M→4M
2.0 - 4.0 mi
Overall
2324
Males
1446
M30-34
328
4M→6M
4.0 - 6.0 mi
Overall
2595
Males
1575
M30-34
361
6M→8M
6.0 - 8.0 mi
Overall
2280
Males
1438
M30-34
331
8M→10M
8.0 - 10.0 mi
Overall
2287
Males
1426
M30-34
320
10M→12M
10.0 - 12.0 mi
Overall
2208
Males
1349
M30-34
297
12M→Finish
12.0 - 13.1 mi
Overall
2353
Males
1412
M30-34
313
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 | - | - | - | - | #1811 |
| 2M → 4M | 27 | 289 | -262 | #1811 | #2073 |
| 4M → 6M | 10 | 192 | -182 | #2073 | #2255 |
| 6M → 8M | 40 | 35 | +5 | #2255 | #2250 |
| 8M → 10M | 43* | 57 | -14 | #2250 | #2264 |
| 10M → 12M | 58 | 33 | +25 | #2264 | #2239 |
| 12M → Finish | 14* | 24 | -10 | #2239 | #2249 |
| TOTALS | 192* | 630 | -438 |
* 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
