Qingyang Yu
Bib: 2861 •F •Age: 34
Pittsburgh, PA

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
Half Splits
Checkpoint Splits
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment Time | Segment Pace | Diff |
|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 07:35:18 | 27:04 | 8:43 | 27:04 | 8:43 | - |
10K | 6.21 mi | 08:02:13 | 53:59 | 8:42 | 26:55 | 8:40 | -0:03 |
15K | 9.32 mi | 08:29:32 | 1:21:18 | 8:44 | 27:19 | 8:48 | +0:08 |
Half | 13.10 mi | 09:02:26 | 1:54:12 | 8:44 | 32:54 | 8:43 | -0:05 |
25K | 15.53 mi | 09:23:26 | 2:15:12 | 8:43 | 21:00 | 8:37 | -0:06 |
30K | 18.64 mi | 09:50:06 | 2:41:52 | 8:41 | 26:40 | 8:35 | -0:02 |
35K | 21.75 mi | 10:16:37 | 3:08:23 | 8:40 | 26:31 | 8:33 | -0:02 |
40K | 24.85 mi | 10:42:55 | 3:34:41 | 8:39 | 26:18 | 8:28 | -0:05 |
Finish | 26.22 mi | 10:53:56 | 3:45:42 | 8:37 | 11:01 | 8:05 | -0:23 |
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
8:05 /mi
Average Pace
8:37 /mi
Slowest Pace
8:48 /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
37:19
17% of race
Time at Steady Pace
3:08:23
83% of race
Time at Slower Pace
0:00
0% of race
Average Pace: 8:36 /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 |
|---|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 07:35:18 | 27:04 | 8:43 | 27:04 | 8:43 | #4620 | |
10K | 6.21 mi | 08:02:13 | 53:59 | 8:42 | 26:55 | 8:40 | #4683 | |
15K | 9.32 mi | 08:29:32 | 1:21:18 | 8:44 | 27:19 | 8:48 | #4610 | |
Half | 13.10 mi | 09:02:26 | 1:54:12 | 8:44 | 32:54 | 8:43 | #4564 | |
25K | 15.53 mi | 09:23:26 | 2:15:12 | 8:43 | 21:00 | 8:37 | #4433 | |
30K | 18.64 mi | 09:50:06 | 2:41:52 | 8:41 | 26:40 | 8:35 | #4271 | |
35K | 21.75 mi | 10:16:37 | 3:08:23 | 8:40 | 26:31 | 8:33 | #4054 | |
40K | 24.85 mi | 10:42:55 | 3:34:41 | 8:39 | 26:18 | 8:28 | #3832 | |
Finish | 26.22 mi | 10:53:56 | 3:45:42 | 8:37 | 11:01 | 8:05 | #3753 |
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 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 4620 | 1517 | 375 | 4493(Top 56%) | 1468(Top 45%) | 372(Top 64%) |
| 10K | 6.21 mi | 3.10 mi | 4683-63 | 1552-35 | 375 | 4706(Top 59%) | 1568(Top 48%) | 379(Top 65%) |
| 15K | 9.32 mi | 3.11 mi | 4610+73 | 1518+34 | 372+3 | 4493(Top 56%) | 1468(Top 45%) | 372(Top 64%) |
| Half | 13.10 mi | 3.78 mi | 4564+46 | 1498+20 | 372 | 4461(Top 56%) | 1455(Top 45%) | 368(Top 64%) |
| 25K | 15.53 mi | 2.43 mi | 4433+131 | 1449+49 | 366+6 | 4016(Top 50%) | 1287(Top 40%) | 341(Top 59%) |
| 30K | 18.64 mi | 3.11 mi | 4271+162 | 1396+53 | 359+7 | 3686(Top 46%) | 1175(Top 36%) | 321(Top 55%) |
| 35K | 21.75 mi | 3.11 mi | 4054+217 | 1316+80 | 341+18 | 3127(Top 39%) | 979(Top 30%) | 288(Top 50%) |
| 40K | 24.85 mi | 3.10 mi | 3832+222 | 1229+87 | 332+9 | 2806(Top 35%) | 904(Top 28%) | 274(Top 47%) |
| Finish | 26.22 mi | 1.37 mi | 3753+79 | 1204+25 | 329+3 | 2492(Top 31%) | 789(Top 24%) | 249(Top 43%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
4493
Females
1468
F30-34
372
5K→10K
3.1 - 6.2 mi
Overall
4706
Females
1568
F30-34
379
10K→15K
6.2 - 9.3 mi
Overall
4493
Females
1468
F30-34
372
15K→Half
9.3 - 13.1 mi
Overall
4461
Females
1455
F30-34
368
Half→25K
13.1 - 15.5 mi
Overall
4016
Females
1287
F30-34
341
25K→30K
15.5 - 18.6 mi
Overall
3686
Females
1175
F30-34
321
30K→35K
18.6 - 21.8 mi
Overall
3127
Females
979
F30-34
288
35K→40K
21.8 - 24.9 mi
Overall
2806
Females
904
F30-34
274
40K→Finish
24.9 - 26.2 mi
Overall
2492
Females
789
F30-34
249
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 → 5K | - | - | - | - | #4620 |
| 5K → 10K | 39 | 102 | -63 | #4620 | #4683 |
| 10K → 15K | 93 | 20 | +73 | #4683 | #4610 |
| 15K → Half | 82 | 36 | +46 | #4610 | #4564 |
| Half → 25K | 135 | 4 | +131 | #4564 | #4433 |
| 25K → 30K | 162 | 0 | +162 | #4433 | #4271 |
| 30K → 35K | 218* | 1 | +217 | #4271 | #4054 |
| 35K → 40K | 226* | 4 | +222 | #4054 | #3832 |
| 40K → Finish | 84 | 5 | +79 | #3832 | #3753 |
| TOTALS | 1039* | 172 | +867 |
* 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
Qualifying & Age Grade
See how your performance stacks up against qualifying standards
Boston Qualifying analysis available
NYC Marathon Qualifying analysis available
Finisher Certificate
Download and share your official race completion certificate
Your certificate is generated on-demand and can be shared on social media or saved for your records
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


