Canlan Sports Lake Barrington - Barrington, IL, USA
Explore the probability of achieving at least a certain number of victories in the pool for each fencer, with their actual victories highlighted in a box. Learn more.
| # | Name | Number of victories | ||||||
|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | ||
| 1 | LIU Ethan | 100% | 100% | 100% | 99% | 84% | 39% | |
| 2 | KLOTZ Isaiah | 100% | 100% | 100% | 100% | 100% | 92% | 52% |
| 3 | KEE Andrew L. | 100% | 100% | 100% | 99% | 91% | 55% | |
| 3 | OH SEAN | 100% | 100% | 100% | 100% | 100% | 98% | 72% |
| 5 | ALLEN Henry G. | 100% | 100% | 99% | 92% | 62% | 20% | |
| 6 | WONG Evan | 100% | 100% | 98% | 75% | 33% | 6% | |
| 7 | KIM Aiden | 100% | 100% | 98% | 84% | 46% | 11% | |
| 8 | REEVES Liam | 100% | 100% | 100% | 99% | 92% | 62% | 19% |
| 9 | MEJIA Matthew D. | 100% | 100% | 100% | 100% | 99% | 89% | 49% |
| 10 | FINLEY Dylan | 100% | 100% | 100% | 97% | 77% | 36% | 7% |
| 11 | GUTH Joseph | 100% | 100% | 99% | 91% | 61% | 19% | |
| 12 | TUAN Evan | 100% | 100% | 98% | 78% | 35% | 7% | 1% |
| 13 | HOWLAND Jonas | 100% | 97% | 79% | 44% | 14% | 2% | |
| 14 | PITERBARG Maxim | 100% | 100% | 96% | 80% | 45% | 12% | |
| 15 | STRINGER David | 100% | 100% | 99% | 88% | 52% | 14% | |
| 16 | CHEREDNICHENKO Ihor | 100% | 100% | 100% | 99% | 91% | 61% | 16% |
| 17 | MCKINLEY Luke | 100% | 100% | 97% | 80% | 41% | 8% | < 1% |
| 18 | MCISAAC Finn | 100% | 100% | 100% | 92% | 61% | 19% | |
| 19 | MAO Lucas | 100% | 100% | 98% | 80% | 34% | 5% | |
| 20 | FRASER Rhys | 100% | 100% | 89% | 47% | 11% | 1% | - |
| 21 | DIEPSTRA Jeremy | 100% | 100% | 98% | 86% | 52% | 15% | 1% |
| 22 | LI Samuel | 100% | 100% | 100% | 100% | 96% | 74% | 22% |
| 23 | PALMA Matthew Dominic | 100% | 100% | 100% | 95% | 69% | 22% | |
| 24 | ARATA Connor | 100% | 97% | 73% | 26% | 4% | - | |
| 25 | ORONOWICZ Jakub | 100% | 100% | 99% | 90% | 62% | 22% | |
| 26 | ATKINSON JOSIAH | 100% | 87% | 50% | 15% | 2% | - | |
| 27 | TAN Christien | 100% | 100% | 100% | 100% | 95% | 72% | 27% |
| 28 | BOYKO Miles | 100% | 100% | 100% | 99% | 90% | 56% | 9% |
| 29 | PALMA Nathan Anthony | 100% | 100% | 99% | 83% | 44% | 10% | |
| 30 | CHUANG Oscar | 100% | 99% | 90% | 61% | 21% | 2% | |
| 31 | GLOVER George | 100% | 81% | 40% | 10% | 1% | - | |
| 32 | SMITH Cooper | 100% | 81% | 43% | 13% | 2% | - | |
| 33 | KUE Temujin | 100% | 100% | 99% | 85% | 46% | 9% | 1% |
| 34 | MAVANI Krishna | 100% | 98% | 82% | 46% | 14% | 2% | - |
| 35 | GOGOI Vir K. | 100% | 100% | 97% | 83% | 45% | 8% | |
| 36 | VANOYEN Dominick | 100% | 98% | 83% | 51% | 18% | 2% | |
| 37 | LAMBERT Parker | 100% | 96% | 75% | 37% | 9% | 1% | - |
| 38 | HOLLIDAY Christopher Mansfield-Scott | 100% | 100% | 98% | 80% | 38% | 7% | - |
| 39 | JARCHO Beckett | 100% | 100% | 93% | 53% | 15% | 2% | - |
| 40 | TOWNE Benjamin | 100% | 99% | 93% | 67% | 28% | 5% | - |
| 41 | LOCKWOOD Jacob | 100% | 94% | 59% | 19% | 3% | - | |
| 42 | CHOI Simon | 100% | 89% | 54% | 17% | 2% | - | |
| 43 | GARSKE James | 100% | 52% | 10% | 1% | - | - | |
| 44 | IRVINE Brody | 100% | 97% | 71% | 28% | 5% | - | |
| 44 | DAVIS Benjamin | 100% | 50% | 5% | - | - | - | |
| 46 | BERSCHEID Arthur | 100% | 98% | 85% | 50% | 16% | 2% | - |
| 46 | REECE Oliver | 100% | 91% | 58% | 21% | 4% | - | - |
| 48 | LANE Sean | 100% | 72% | 29% | 6% | - | - | - |
| 49 | HERRERA Xavier | 100% | 83% | 41% | 10% | 1% | - | - |
| 50 | MARTIN Dexter | 100% | 88% | 25% | 2% | - | - | - |
| 51 | CHAN William | 100% | 30% | 2% | - | - | - | - |
| 52 | ZHANG Hanson | 100% | 58% | 16% | 2% | - | - | - |
| 53 | RAJPAL Alastair | 100% | 88% | 55% | 20% | 4% | - | |
| 54 | LAKAS Darius | 100% | 34% | 5% | - | - | - | |
| 55 | REAUME Nate | 100% | 80% | 30% | 4% | - | - | |
| 56 | RUBY Asher | 100% | 64% | 10% | 1% | - | - | |
| 57 | HUGHES Evan | 100% | 86% | 30% | 4% | - | - | - |
| 58 | NG Gavin | 100% | 19% | 1% | - | - | - | - |
The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:
This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.