Joseph Gambino
Bib: 5510•M•Age: 30
Chicago, IL
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 | 07:28:54 | 26:48 | 8:38 | 26:48 | 8:38 | - |
8K | 4.97 mi | 07:45:03 | 42:57 | 8:39 | 16:09 | 8:40 | +0:02 |
10K | 6.21 mi | 07:55:34 | 53:28 | 8:37 | 10:31 | 8:28 | -0:12 |
15K | 9.32 mi | 08:24:52 | 1:22:46 | 8:53 | 29:18 | 9:26 | +0:58 |
FINISH | 13.11 mi | 08:53:50 | 1:51:44 | 8:32 | 28:58 | 7:39 | -1:47 |
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
7:39 /mi
Average Pace
8:31 /mi
Slowest Pace
9:26 /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
28:58
26% of race
Time at Steady Pace
53:28
48% of race
Time at Slower Pace
29:18
26% of race
Average Pace: 8:31 /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 | 07:28:54 | 26:48 | 8:38 | 26:48 | 8:38 | #1123 | |
8K | 4.97 mi | 07:45:03 | 42:57 | 8:39 | 16:09 | 8:40 | #1086 | |
10K | 6.21 mi | 07:55:34 | 53:28 | 8:37 | 10:31 | 8:28 | #1066 | |
15K | 9.32 mi | 08:24:52 | 1:22:46 | 8:53 | 29:18 | 9:26 | #1028 | |
FINISH | 13.11 mi | 08:53:50 | 1:51:44 | 8:32 | 28:58 | 7:39 | #924 |
Rankings
Your position at each checkpoint and how you ranked in each segment
Checkpoint and Segment Rankings
| Checkpoint | Distance | Seg. Dist | Overall | Males | M30-34 | Seg. Overall | Seg. Males | Seg. M30-34 |
|---|---|---|---|---|---|---|---|---|
| 5K | 3.11 mi | 3.11 mi | 1123 | 818 | 179 | 992(Top 27%) | 734(Top 39%) | 160(Top 42%) |
| 8K | 4.97 mi | 1.86 mi | 1086+37 | 788+30 | 174+5 | 1052(Top 28%) | 770(Top 40%) | 169(Top 44%) |
| 10K | 6.21 mi | 1.24 mi | 1066+20 | 777+11 | 176-2 | 1026(Top 28%) | 756(Top 40%) | 168(Top 44%) |
| 15K | 9.32 mi | 3.11 mi | 1028+38 | 761+16 | 166+10 | 992(Top 27%) | 734(Top 39%) | 160(Top 42%) |
| FINISH | 13.11 mi | 3.79 mi | 924+104 | 689+72 | 152+14 | 747(Top 20%) | 565(Top 30%) | 129(Top 34%) |
Segment Performance Analysis
10K→15K
0.0 - 3.1 mi
Overall
992
Males
734
M30-34
160
5K→8K
3.1 - 5.0 mi
Overall
1052
Males
770
M30-34
169
8K→10K
5.0 - 6.2 mi
Overall
1026
Males
756
M30-34
168
10K→15K
6.2 - 9.3 mi
Overall
992
Males
734
M30-34
160
15K→FINISH
9.3 - 13.1 mi
Overall
747
Males
565
M30-34
129
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 | - | - | - | - | #1123 |
| 5K → 8K | 50 | 13 | +37 | #1123 | #1086 |
| 8K → 10K | 24 | 4 | +20 | #1086 | #1066 |
| 10K → 15K | 66 | 28 | +38 | #1066 | #1028 |
| 15K → FINISH | 113 | 9 | +104 | #1028 | #924 |
| TOTALS | 253 | 54 | +199 |
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
Activity Data
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Export & Support
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Export Track Data
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Public Race Data
Enhanced athlete results built from publicly available data.
Race managed by
Chicago Event Management
