Michelle Kiser
Bib: 5385 •F •Age: 35
Harbor City, 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
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 | 07:30:07 | 24:50 | 8:00 | 24:50 | 8:00 | - |
10K | 6.21 mi | 07:55:14 | 49:57 | 8:03 | 25:07 | 8:06 | +0:06 |
15K | 9.32 mi | 08:22:44 | 1:17:27 | 8:19 | 27:30 | 8:52 | +0:46 |
Half | 13.10 mi | 08:57:47 | 1:52:30 | 8:36 | 35:03 | 9:17 | +0:25 |
25K | 15.53 mi | 09:23:23 | 2:18:06 | 8:54 | 25:36 | 10:31 | +1:14 |
30K | 18.64 mi | 09:57:12 | 2:51:55 | 9:14 | 33:49 | 10:54 | +0:23 |
35K | 21.75 mi | 10:34:15 | 3:28:58 | 9:37 | 37:03 | 11:56 | +1:02 |
40K | 24.85 mi | 11:15:03 | 4:09:46 | 10:03 | 40:48 | 13:08 | +1:12 |
Finish | 26.22 mi | 11:31:56 | 4:26:39 | 10:11 | 16:53 | 12:23 | -0:45 |
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. Green = fastest, yellow = moderate, red = slowest segments.
Fastest Pace
8:00 /mi
Average Pace
10:11 /mi
Slowest Pace
13:08 /mi
📊Segments
Segment Time Comparison
Bar length shows time spent in each segment. Color indicates pace quality: green = fast pace, yellow = moderate, red = slow pace.
Time at Fast Pace
1:52:30
42% of race
Time at Moderate Pace
59:25
22% of race
Time at Slow Pace
1:34:44
36% of race
Average Pace: 10:10 /mi
🎨Heatmap
Pace Heatmap
Visual intensity map of your pacing throughout the race. Green = fastest, yellow = moderate, red = slowest.
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 | 07:30:07 | 24:50 | 8:00 | 24:50 | 8:00 | #3453 | |
10K | 6.21 mi | 07:55:14 | 49:57 | 8:03 | 25:07 | 8:06 | #3584 | |
15K | 9.32 mi | 08:22:44 | 1:17:27 | 8:19 | 27:30 | 8:52 | #3941 | |
Half | 13.10 mi | 08:57:47 | 1:52:30 | 8:36 | 35:03 | 9:17 | #4352 | |
25K | 15.53 mi | 09:23:23 | 2:18:06 | 8:54 | 25:36 | 10:31 | #4700 | |
30K | 18.64 mi | 09:57:12 | 2:51:55 | 9:14 | 33:49 | 10:54 | #5081 | |
35K | 21.75 mi | 10:34:15 | 3:28:58 | 9:37 | 37:03 | 11:56 | #5249 | |
40K | 24.85 mi | 11:15:03 | 4:09:46 | 10:03 | 40:48 | 13:08 | #5511 | |
Finish | 26.22 mi | 11:31:56 | 4:26:39 | 10:11 | 16:53 | 12:23 | #5585 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F35-39 | Seg. Overall | Seg. Females | Seg. F35-39 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 3453 | 993 | 169 | 4597(Top 58%) | 1516(Top 47%) | 251(Top 46%) |
| 10K | 6.21 mi | 3.10 mi | 3584-131 | 1040-47 | 181-12 | 3761(Top 47%) | 1131(Top 35%) | 198(Top 37%) |
| 15K | 9.32 mi | 3.11 mi | 3941-357 | 1220-180 | 215-34 | 4597(Top 58%) | 1516(Top 47%) | 251(Top 46%) |
| Half | 13.10 mi | 3.78 mi | 4352-411 | 1403-183 | 240-25 | 5287(Top 66%) | 1828(Top 57%) | 313(Top 58%) |
| 25K | 15.53 mi | 2.43 mi | 4700-348 | 1564-161 | 260-20 | 5992(Top 75%) | 2204(Top 68%) | 365(Top 67%) |
| 30K | 18.64 mi | 3.11 mi | 5081-381 | 1750-186 | 293-33 | 5958(Top 75%) | 2236(Top 69%) | 374(Top 69%) |
| 35K | 21.75 mi | 3.11 mi | 5249-168 | 1854-104 | 317-24 | 6124(Top 77%) | 2393(Top 74%) | 396(Top 73%) |
| 40K | 24.85 mi | 3.10 mi | 5511-262 | 2010-156 | 345-28 | 6760(Top 85%) | 2744(Top 85%) | 471(Top 87%) |
| Finish | 26.22 mi | 1.37 mi | 5585-74 | 2053-43 | 348-3 | 6762(Top 85%) | 2728(Top 84%) | 461(Top 85%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
4597
Females
1516
F35-39
251
5K→10K
3.1 - 6.2 mi
Overall
3761
Females
1131
F35-39
198
10K→15K
6.2 - 9.3 mi
Overall
4597
Females
1516
F35-39
251
15K→Half
9.3 - 13.1 mi
Overall
5287
Females
1828
F35-39
313
Half→25K
13.1 - 15.5 mi
Overall
5992
Females
2204
F35-39
365
25K→30K
15.5 - 18.6 mi
Overall
5958
Females
2236
F35-39
374
30K→35K
18.6 - 21.8 mi
Overall
6124
Females
2393
F35-39
396
35K→40K
21.8 - 24.9 mi
Overall
6760
Females
2744
F35-39
471
40K→Finish
24.9 - 26.2 mi
Overall
6762
Females
2728
F35-39
461
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 | - | - | - | - | #3453 |
| 5K → 10K | 17 | 148 | -131 | #3453 | #3584 |
| 10K → 15K | 4 | 200 | -357 | #3584 | #3941 |
| 15K → Half | 4 | 200 | -411 | #3941 | #4352 |
| Half → 25K | 6 | 200 | -348 | #4352 | #4700 |
| 25K → 30K | 9 | 200 | -381 | #4700 | #5081 |
| 30K → 35K | 22 | 190 | -168 | #5081 | #5249 |
| 35K → 40K | 19 | 200 | -262 | #5249 | #5511 |
| 40K → Finish | 5 | 79 | -74 | #5511 | #5585 |
| TOTALS | 86 | 1417 | -2132 |
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
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.
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