Vitor Mateus Ferreira Santo
Bib: 1059 •M •Age: 45
São Paulo, São Paulo

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
Checkpoint Splits
| Checkpoint | Distance | Time of Day | Time | Avg Pace | Segment Time | Segment Pace | Diff |
|---|---|---|---|---|---|---|---|
5K | 3.11 mi | 07:28:44 | 28:44 | 9:15 | 28:44 | 9:15 | - |
10K | 6.21 mi | 07:58:26 | 58:26 | 9:25 | 29:42 | 9:34 | +0:19 |
15K | 9.32 mi | 08:28:00 | 1:28:00 | 9:27 | 29:34 | 9:31 | -0:03 |
20K | 12.43 mi | 08:58:36 | 1:58:36 | 9:33 | 30:36 | 9:51 | +0:20 |
FINISH | 13.11 mi | 10:04:23 | 3:04:23 | 14:04 | 1:05:47 | 96:31 | +86:40 |
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
9:15 /mi
Average Pace
14:04 /mi
Slowest Pace
96:31 /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
0:00
0% of race
Time at Steady Pace
1:58:36
64% of race
Time at Slower Pace
1:05:47
36% of race
Average Pace: 14:04 /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 | 07:28:44 | 28:44 | 9:15 | 28:44 | 9:15 | #14168 | |
10K | 6.21 mi | 07:58:26 | 58:26 | 9:25 | 29:42 | 9:34 | #15178 | |
15K | 9.32 mi | 08:28:00 | 1:28:00 | 9:27 | 29:34 | 9:31 | #15345 | |
20K | 12.43 mi | 08:58:36 | 1:58:36 | 9:33 | 30:36 | 9:51 | #15700 | |
FINISH | 13.11 mi | 10:04:23 | 3:04:23 | 14:04 | 1:05:47 | 96:31 | #16344 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M45-49 | Seg. Overall | Seg. Males | Seg. M45-49 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 14168 | 9157 | 871 | 15919(Top 53%) | 9876(Top 67%) | 936(Top 66%) |
| 10K | 6.21 mi | 3.10 mi | 15178-1010 | 9600-443 | 919-48 | 16117(Top 53%) | 9976(Top 67%) | 953(Top 67%) |
| 15K | 9.32 mi | 3.11 mi | 15345-167 | 9678-78 | 916+3 | 15919(Top 53%) | 9876(Top 67%) | 936(Top 66%) |
| 20K | 12.43 mi | 3.11 mi | 15700-355 | 9798-120 | 933-17 | 16794(Top 56%) | 10112(Top 68%) | 957(Top 67%) |
| FINISH | 13.11 mi | 0.68 mi | 16344-644 | 10096-298 | 997-64 | 17577(Top 58%) | 10481(Top 71%) | 1055(Top 74%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
15919
Males
9876
M45-49
936
5K→10K
3.1 - 6.2 mi
Overall
16117
Males
9976
M45-49
953
10K→15K
6.2 - 9.3 mi
Overall
15919
Males
9876
M45-49
936
15K→20K
9.3 - 12.4 mi
Overall
16794
Males
10112
M45-49
957
20K→FINISH
12.4 - 13.1 mi
Overall
17577
Males
10481
M45-49
1055
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 | - | - | - | - | #14168 |
| 5K → 10K | 164 | 200 | -1010 | #14168 | #15178 |
| 10K → 15K | 200 | 200 | -167 | #15178 | #15345 |
| 15K → 20K | 184 | 200 | -355 | #15345 | #15700 |
| 20K → FINISH | 200 | 200 | -644 | #15700 | #16344 |
| TOTALS | 748 | 800 | -2176 |
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
AI Key Insights
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Activity Data
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