Alexia Niculai
Bib: 10854 •F •Age: 15
Orangevale, CA

Your journey through the course with elevation, pacing, and checkpoint details
⏱️ Race Timeline
Watch your race unfold from start to finish
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 |
|---|---|---|---|---|---|---|
Mile 2.04 | 2.04 mi | 08:30:24 | 22:49 | 11:12 | 22:49 | 11:12 |
Mile 5.13 | 5.13 mi | 09:02:18 | 54:43 | 10:41 | 31:55 | 10:20 |
HALF | 6.55 mi | 09:18:44 | 1:11:10 | 10:52 | 16:27 | 11:35 |
Mile 11 | 11.00 mi | 10:16:11 | 2:08:36 | 11:42 | 57:27 | 12:55 |
FINISH | 13.11 mi | 10:47:02 | 2:39:28 | 12:10 | 30:52 | 14:38 |
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
10:20 /mi
Average Pace
11:58 /mi
Slowest Pace
14:38 /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
31:55
20% of race
Time at Moderate Pace
39:16
25% of race
Time at Slow Pace
1:28:19
55% of race
Average Pace: 12:09 /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 |
|---|---|---|---|---|---|---|---|---|
Mile 2.04 | 2.04 mi | 08:30:24 | 22:49 | 11:12 | 22:49 | 11:12 | #2695 | |
Mile 5.13 | 5.13 mi | 09:02:18 | 54:43 | 10:41 | 31:55 | 10:20 | #2451 | |
HALF | 6.55 mi | 09:18:44 | 1:11:10 | 10:52 | 16:27 | 11:35 | #2538 | |
Mile 11 | 11.00 mi | 10:16:11 | 2:08:36 | 11:42 | 57:27 | 12:55 | #2875 | |
FINISH | 13.11 mi | 10:47:02 | 2:39:28 | 12:10 | 30:52 | 14:38 | #3047 |
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Females | F15-18 | Seg. Overall | Seg. Females | Seg. F15-18 |
|---|---|---|---|---|---|---|---|---|
| Mile 2.04 | 2.04 mi | 2.04 mi | 2695 | 1079 | 25 | 2695(Top 70%) | 1079(Top 58%) | 25(Top 114%) |
| Mile 5.13 | 5.13 mi | 3.09 mi | 2451+244 | 936+143 | 22+3 | 2241(Top 58%) | 819(Top 44%) | 20(Top 91%) |
| HALF | 6.55 mi | 1.42 mi | 2538-87 | 985-49 | 23-1 | 2908(Top 75%) | 1195(Top 64%) | 25(Top 114%) |
| Mile 11 | 11.00 mi | 4.45 mi | 2875-337 | 1181-196 | 25-2 | 3110(Top 80%) | 1355(Top 72%) | 27(Top 123%) |
| FINISH | 13.11 mi | 2.11 mi | 3047-172 | 1299-118 | 25 | 3525(Top 91%) | 1646(Top 88%) | 30(Top 136%) |
Segment Performance Analysis
Start → Mile 2.04
0.0 - 2.0 mi
Overall
2695
Females
1079
F15-18
25
Mile 2.04→Mile 5.13
2.0 - 5.1 mi
Overall
2241
Females
819
F15-18
20
Mile 5.13→HALF
5.1 - 6.5 mi
Overall
2908
Females
1195
F15-18
25
HALF→Mile 11
6.5 - 11.0 mi
Overall
3110
Females
1355
F15-18
27
Mile 11→FINISH
11.0 - 13.1 mi
Overall
3525
Females
1646
F15-18
30
Athletes you passed and who passed you throughout the race
Passing Analysis
| Segment | Athletes Passed | Passed By | Net Change | Start Rank | End Rank |
|---|---|---|---|---|---|
| Start → Mile 2.04 | - | - | - | - | #2695 |
| Mile 2.04 → Mile 5.13 | 262* | 18 | +244 | #2695 | #2451 |
| Mile 5.13 → HALF | 7 | 94 | -87 | #2451 | #2538 |
| HALF → Mile 11 | 17 | 200 | -337 | #2538 | #2875 |
| Mile 11 → FINISH | 0 | 172 | -172 | #2875 | #3047 |
| TOTALS | 286* | 484 | -352 |
* 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
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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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