← Back to Regatta
📊 Prediction Accuracy
41.7%
Within 2 Positions
2.8
Avg Position Diff
12
Total Participants
🏁 Actual Results
-
1California Poly Maritime Academy3.42+0.12vs Predicted
-
2University of California at San Diego-1.06+3.68vs Predicted
-
3University of Southern California0.46+0.03vs Predicted
-
4University of California at Los Angeles-1.65+3.00vs Predicted
-
5University of California at Irvine-1.96+2.73vs Predicted
-
6University of California at Berkeley-0.86-0.77vs Predicted
-
7San Diego State University-0.87-1.80vs Predicted
-
10Arizona State University-1.79-2.76vs Predicted
-
11Arizona State University-3.03-1.04vs Predicted
-
12University of California at Irvine-2.40-3.37vs Predicted
-
14University of California at Irvine-2.22-5.56vs Predicted
-
17University of California at Davis-2.38-8.27vs Predicted
🎯 Predicted Standings
-
1.12California Poly Maritime Academy3.420.9%1st Place
-
5.68University of California at San Diego-1.060.0%1st Place
-
3.03University of Southern California0.460.1%1st Place
-
7.0University of California at Los Angeles-1.650.0%1st Place
-
7.73University of California at Irvine-1.960.0%1st Place
-
5.23University of California at Berkeley-0.860.0%1st Place
-
5.2San Diego State University-0.870.0%1st Place
-
7.24Arizona State University-1.790.0%1st Place
-
9.96Arizona State University-3.030.0%1st Place
-
8.63University of California at Irvine-2.400.0%1st Place
-
8.44University of California at Irvine-2.220.0%1st Place
-
8.73University of California at Davis-2.380.0%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tate Oyler | 88.4% | 11.1% | 0.5% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| Zev Fort | 0.7% | 7.8% | 13.8% | 14.6% | 12.0% | 14.2% | 12.6% | 10.0% | 7.3% | 4.6% | 1.7% | 0.7% |
| Maximilian Conze | 5.6% | 38.3% | 27.1% | 14.4% | 8.3% | 4.4% | 1.4% | 0.4% | 0.1% | 0.0% | 0.0% | 0.0% |
| Tommy Hofer | 0.2% | 5.2% | 5.2% | 9.9% | 11.1% | 11.2% | 12.2% | 13.1% | 11.8% | 9.0% | 8.2% | 2.9% |
| Jundai Nishida | 0.4% | 3.1% | 5.4% | 7.2% | 8.6% | 9.1% | 10.6% | 10.7% | 12.2% | 13.3% | 11.1% | 8.3% |
| Alexander Kaslosas | 1.4% | 10.3% | 14.4% | 14.8% | 16.3% | 14.7% | 10.8% | 8.2% | 4.8% | 2.7% | 1.3% | 0.3% |
| Rachael Tier | 1.6% | 10.0% | 16.4% | 16.4% | 14.0% | 12.1% | 11.8% | 7.9% | 5.7% | 2.4% | 1.0% | 0.7% |
| Camden Wacha | 0.4% | 5.4% | 6.7% | 6.8% | 9.8% | 9.8% | 11.3% | 12.1% | 13.2% | 11.5% | 7.8% | 5.2% |
| Alexander Stellato | 0.2% | 1.0% | 1.2% | 2.4% | 2.8% | 3.0% | 5.7% | 6.6% | 8.8% | 11.4% | 19.7% | 37.2% |
| Richard Kramer | 0.3% | 3.4% | 3.0% | 4.3% | 5.6% | 6.3% | 7.2% | 10.4% | 12.4% | 14.6% | 17.0% | 15.5% |
| Matthew Stank | 0.5% | 2.5% | 2.6% | 4.9% | 6.8% | 7.8% | 8.5% | 10.6% | 12.2% | 16.0% | 15.2% | 12.4% |
| Maksim Shikhaleev | 0.3% | 1.9% | 3.7% | 4.3% | 4.7% | 7.4% | 7.9% | 10.0% | 11.5% | 14.5% | 17.0% | 16.8% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.