Canlan Sports Lake Barrington - Barrington, IL, USA
Explore the pool victory probability density 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 | LEE Stewart S. | - | - | 1% | 8% | 26% | 42% | 23% |
| 2 | KARNAS Karol | - | - | 2% | 14% | 43% | 42% | |
| 3 | SPIER Julian H. | - | - | 2% | 10% | 29% | 40% | 18% |
| 3 | SILVERS Ari | - | - | 2% | 15% | 42% | 40% | |
| 5 | JOVANOVIC Jovan | - | - | - | - | 5% | 28% | 67% |
| 6 | TOLLEFSON Zachary | - | 2% | 10% | 28% | 35% | 21% | 4% |
| 7 | TIKHOMIROV Theodore | - | - | 3% | 14% | 32% | 36% | 15% |
| 8 | GINZBURG Adam | 1% | 8% | 28% | 39% | 20% | 3% | |
| 9 | SIEDOW William | 5% | 21% | 34% | 27% | 11% | 2% | |
| 10 | WOJCIECHOWSKI Matthew N. | - | - | - | 2% | 11% | 38% | 50% |
| 11 | STENCEL Andrew E. | 1% | 5% | 20% | 34% | 28% | 10% | 1% |
| 12 | FRANGER Max | 2% | 12% | 29% | 33% | 18% | 4% | - |
| 13 | SWANSON Dave | 1% | 6% | 24% | 37% | 25% | 7% | 1% |
| 14 | ZIEGLER John | 1% | 10% | 26% | 35% | 22% | 6% | |
| 15 | HUANG Kenneth | 6% | 28% | 37% | 22% | 6% | 1% | - |
| 16 | DEPAUW Devan | - | 4% | 15% | 33% | 34% | 14% | |
| 17 | CHAN Matthew | - | - | 1% | 8% | 26% | 40% | 25% |
| 18 | FU Jason | - | 3% | 16% | 37% | 35% | 10% | |
| 19 | BEACH John | - | - | 3% | 14% | 33% | 36% | 14% |
| 20 | MCDOWELL Will | 1% | 7% | 24% | 36% | 25% | 7% | - |
| 21 | SHOUSHA Hamza | 1% | 9% | 26% | 35% | 23% | 6% | - |
| 22 | HAUCK Samuel J. | - | 2% | 13% | 29% | 34% | 18% | 4% |
| 23 | WANG David | 1% | 5% | 20% | 34% | 29% | 11% | 1% |
| 24 | BARFORD Giovanni | 10% | 30% | 35% | 19% | 5% | 1% | |
| 25 | THOMAS Samuel | - | - | 4% | 16% | 34% | 33% | 12% |
| 26 | ELTERMAN Lev | 1% | 11% | 30% | 34% | 19% | 5% | - |
| 27 | PAULSEN Zachary | 1% | 7% | 24% | 35% | 24% | 8% | 1% |
| 28 | SHOUSHA Yassin | 3% | 21% | 36% | 28% | 10% | 2% | - |
| 29 | BENFORD Kailan | 1% | 11% | 35% | 37% | 14% | 2% | |
| 30 | OZANNE Jeffrey S. | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
| 31 | REED Dusty (Allen) | - | 1% | 9% | 26% | 35% | 23% | 5% |
| 32 | BISSEN Quinn | 6% | 27% | 39% | 23% | 5% | - | |
| 33 | CONKLIN Jim | - | 3% | 16% | 36% | 34% | 11% | 1% |
| 34 | CURTY Jack | 1% | 13% | 38% | 36% | 11% | 1% | |
| 35 | SOBESHKEVYCH ROMAN | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 36 | PAMERLEAU Ian | - | 1% | 7% | 30% | 45% | 17% | |
| 37 | PETROVICH Alexandar | 12% | 34% | 34% | 16% | 4% | - | - |
| 38 | EVERT Todd | 2% | 15% | 34% | 32% | 14% | 3% | - |
| 39 | RODACHY Jeffrey M. | - | 3% | 13% | 30% | 34% | 18% | 3% |
| 40 | WAI Andreas | 3% | 20% | 35% | 28% | 11% | 2% | - |
| 41 | LASKA Patryk | 5% | 21% | 35% | 27% | 10% | 1% | |
| 42 | ALI Adam | 8% | 31% | 38% | 19% | 4% | - | |
| 43 | MOHOV Aleksey | - | - | 2% | 10% | 29% | 39% | 20% |
| 44 | VUILLEMIN Gregoire | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 45 | GUILFORD Corey | 1% | 8% | 26% | 35% | 23% | 6% | - |
| 46 | ST. GEORGE David J. | 37% | 41% | 18% | 4% | - | - | - |
| 47 | ROBBINS Christopher (Chris) W. | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 48 | LEHNER Brian | 46% | 39% | 13% | 2% | - | - | - |
| 49 | RIECK Brennan | 13% | 44% | 33% | 9% | 1% | - | |
| 50 | CHRISTIAN John R. | 3% | 15% | 31% | 32% | 16% | 3% | |
| 51 | COHEN Henry | 36% | 43% | 18% | 3% | - | - | |
| 52 | WILLIAMS Logan | 3% | 19% | 35% | 29% | 11% | 2% | - |
| 53 | VARNEY Douglas W. | 6% | 24% | 36% | 25% | 8% | 1% | - |
| 53 | PATEL Aayan | 56% | 35% | 8% | 1% | - | - | - |
| 55 | TAKATA Benjamin | - | 3% | 15% | 32% | 34% | 15% | 1% |
| 56 | SCHROEDER Karl A. | 13% | 34% | 34% | 15% | 3% | - | - |
| 57 | HERRERA Xavier | 52% | 38% | 9% | 1% | - | - | |
| 58 | CASTELLANOS Rene E. | 18% | 38% | 30% | 12% | 2% | - | - |
| 59 | PERLENFEIN Tyler J. | 13% | 35% | 33% | 15% | 3% | - | - |
| 59 | SLEZAK Christian | 16% | 37% | 31% | 13% | 3% | - | - |
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.