Cara Manfredi
Bib: 2073 β’F β’Age: 30
South Glastonbury, CT

Race Timeline and Course Information
Your journey through the course with elevation, pacing, and checkpoint details
β±οΈ 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 | 07:41:09 | 25:58 | 8:22 | 25:58 | 8:22 | - |
10K | 6.21 mi | 08:06:13 | 51:02 | 8:13 | 25:04 | 8:05 | -0:17 |
15K | 9.32 mi | 08:31:57 | 1:16:46 | 8:15 | 25:44 | 8:17 | +0:12 |
Half | 13.10 mi | 09:03:53 | 1:48:42 | 8:18 | 31:56 | 8:28 | +0:11 |
25K | 15.53 mi | 09:25:54 | 2:10:43 | 8:25 | 22:01 | 9:02 | +0:34 |
30K | 18.64 mi | 09:54:01 | 2:38:50 | 8:32 | 28:07 | 9:03 | +0:01 |
35K | 21.75 mi | 10:25:08 | 3:09:57 | 8:45 | 31:07 | 10:01 | +0:58 |
40K | 24.85 mi | 11:24:05 | 4:08:54 | 10:01 | 58:57 | 18:59 | +8:58 |
Finish | 26.22 mi | 11:38:53 | 4:23:42 | 10:04 | 14:48 | 10:52 | -8:07 |
Checkpoint Splits Visualizations
Explore your race data through different visual perspectives. Scroll to discover each visualization.
πPace 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
10:04 /mi
Slowest Pace
18:59 /mi
πSegments
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
0:00
0% of race
Time at Steady Pace
3:09:57
72% of race
Time at Slower Pace
1:13:45
28% of race
Average Pace: 10:03 /mi
π¨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
β¨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 | 07:41:09 | 25:58 | 8:22 | 25:58 | 8:22 | #4693 | |
10K | 6.21 mi | 08:06:13 | 51:02 | 8:13 | 25:04 | 8:05 | #4507 | |
15K | 9.32 mi | 08:31:57 | 1:16:46 | 8:15 | 25:44 | 8:17 | #4463 | |
Half | 13.10 mi | 09:03:53 | 1:48:42 | 8:18 | 31:56 | 8:28 | #4506 | |
25K | 15.53 mi | 09:25:54 | 2:10:43 | 8:25 | 22:01 | 9:02 | #4623 | |
30K | 18.64 mi | 09:54:01 | 2:38:50 | 8:32 | 28:07 | 9:03 | #4658 | |
35K | 21.75 mi | 10:25:08 | 3:09:57 | 8:45 | 31:07 | 10:01 | #4816 | |
40K | 24.85 mi | 11:24:05 | 4:08:54 | 10:01 | 58:57 | 18:59 | #6334 | |
Finish | 26.22 mi | 11:38:53 | 4:23:42 | 10:04 | 14:48 | 10:52 | #6340 |
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 | 4693 | 1397 | 352 | 4361(Top 47%) | 1255(Top 34%) | 334(Top 51%) |
| 10K | 6.21 mi | 3.10 mi | 4507+186 | 1320+77 | 343+9 | 4404(Top 48%) | 1266(Top 35%) | 335(Top 51%) |
| 15K | 9.32 mi | 3.11 mi | 4463+44 | 1297+23 | 338+5 | 4361(Top 47%) | 1255(Top 34%) | 334(Top 51%) |
| Half | 13.10 mi | 3.78 mi | 4506-43 | 1324-27 | 345-7 | 4667(Top 51%) | 1392(Top 38%) | 356(Top 54%) |
| 25K | 15.53 mi | 2.43 mi | 4623-117 | 1382-58 | 353-8 | 5272(Top 57%) | 1704(Top 47%) | 401(Top 61%) |
| 30K | 18.64 mi | 3.11 mi | 4658-35 | 1404-22 | 358-5 | 4971(Top 54%) | 1611(Top 44%) | 386(Top 59%) |
| 35K | 21.75 mi | 3.11 mi | 4816-158 | 1503-99 | 370-12 | 5433(Top 59%) | 1895(Top 52%) | 438(Top 67%) |
| 40K | 24.85 mi | 3.10 mi | 6334-1518 | 2231-728 | 495-125 | 9147(Top 100%) | 3636(Top 100%) | 674(Top 103%) |
| Finish | 26.22 mi | 1.37 mi | 6340-6 | 2243-12 | 499-4 | 6515(Top 71%) | 2507(Top 69%) | 537(Top 82%) |
Segment Performance Analysis
10Kβ15K
0.0 - 3.1 mi
Overall
4361
Females
1255
F30-34
334
5Kβ10K
3.1 - 6.2 mi
Overall
4404
Females
1266
F30-34
335
10Kβ15K
6.2 - 9.3 mi
Overall
4361
Females
1255
F30-34
334
15KβHalf
9.3 - 13.1 mi
Overall
4667
Females
1392
F30-34
356
Halfβ25K
13.1 - 15.5 mi
Overall
5272
Females
1704
F30-34
401
25Kβ30K
15.5 - 18.6 mi
Overall
4971
Females
1611
F30-34
386
30Kβ35K
18.6 - 21.8 mi
Overall
5433
Females
1895
F30-34
438
35Kβ40K
21.8 - 24.9 mi
Overall
9147
Females
3636
F30-34
674
40KβFinish
24.9 - 26.2 mi
Overall
6515
Females
2507
F30-34
537
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 β 5K | - | - | - | - | #4693 |
| 5K β 10K | 201* | 15 | +186 | #4693 | #4507 |
| 10K β 15K | 58 | 14 | +44 | #4507 | #4463 |
| 15K β Half | 42 | 85 | -43 | #4463 | #4506 |
| Half β 25K | 18 | 135 | -117 | #4506 | #4623 |
| 25K β 30K | 68 | 103 | -35 | #4623 | #4658 |
| 30K β 35K | 53 | 200 | -158 | #4658 | #4816 |
| 35K β 40K | 1 | 200 | -1518 | #4816 | #6334 |
| 40K β Finish | 27 | 33 | -6 | #6334 | #6340 |
| TOTALS | 468* | 785 | -1647 |
* 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.
πPosition Graph
π¨Heatmap Timeline
πPassing Circle
πPosition Flow
πRace Lanes
Qualifying & Age Grade
See how your performance stacks up against qualifying standards
NYC Marathon Qualifying analysis available
Olympic Trials 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
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.gpx files up to 10MB
Export & Support
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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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