Meadowlands Expo Center - Secaucus, NJ, 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 | DODIN David | - | - | - | 1% | 7% | 36% | 57% |
| 2 | LEE Aiden | - | 4% | 14% | 29% | 32% | 17% | 4% |
| 3 | LAI Boden | - | 3% | 12% | 29% | 34% | 18% | 4% |
| 3 | LOISEAU Oscar | - | 1% | 6% | 25% | 43% | 26% | |
| 5 | NAKAS Levent | - | - | 1% | 6% | 32% | 61% | |
| 6 | ZENG Andrew | - | 4% | 16% | 34% | 34% | 13% | |
| 7 | SAUNIER Cameron | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 8 | MIDYANY Evan | 2% | 14% | 33% | 34% | 15% | 2% | |
| 9 | FENG shang | - | 4% | 16% | 31% | 31% | 15% | 3% |
| 10 | LAM Alan | - | 1% | 9% | 27% | 40% | 22% | |
| 11 | BRADSHAW Carter | - | 7% | 27% | 39% | 23% | 4% | |
| 12 | X Benjamin | 3% | 19% | 39% | 31% | 8% | 1% | |
| 13 | HUANG Kenneth | - | 3% | 15% | 33% | 34% | 14% | |
| 14 | VYSOTSKIY Evan | - | - | 2% | 10% | 28% | 39% | 22% |
| 15 | ALI Farhan | 1% | 11% | 31% | 36% | 17% | 3% | - |
| 16 | GINZBURG Adam | - | - | 4% | 19% | 42% | 35% | |
| 17 | SINGH Ravin | - | - | 4% | 19% | 44% | 32% | |
| 18 | JIANG Matthew | - | - | 2% | 13% | 36% | 39% | 9% |
| 19 | KUGLER Luke | - | 5% | 22% | 41% | 27% | 5% | |
| 20 | MAO Benjamin | 1% | 7% | 24% | 36% | 26% | 6% | |
| 21 | TWEMLOW Sacha | 2% | 13% | 30% | 34% | 18% | 4% | |
| 22 | DEGRUCCIO Johnny | 1% | 12% | 35% | 36% | 15% | 2% | |
| 23 | SHCHUR Grayson | - | 3% | 12% | 27% | 33% | 20% | 5% |
| 24 | SAVORETTI Pietro | - | - | 4% | 16% | 32% | 34% | 14% |
| 25 | GONZALEZ Aaron M | 3% | 17% | 34% | 32% | 13% | 1% | |
| 26 | ARMSTRONG TyLee | 3% | 16% | 33% | 32% | 14% | 2% | |
| 27 | TSE Maxwell | - | 1% | 10% | 30% | 39% | 17% | 2% |
| 28 | YU Jason | - | 1% | 6% | 19% | 35% | 30% | 9% |
| 29 | MILINKOVIC Maksim | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 30 | SIEDOW William | 5% | 25% | 39% | 25% | 6% | - | |
| 31 | RATMANSKY Alexander | 4% | 22% | 36% | 27% | 9% | 1% | |
| 32 | DOUBOV Andrew | 1% | 8% | 24% | 33% | 24% | 9% | 1% |
| 33 | DURKIN Hudson | - | 3% | 14% | 29% | 32% | 17% | 4% |
| 34 | LIU Ethan | 10% | 31% | 36% | 18% | 4% | - | |
| 35 | AHN EZRA | 11% | 33% | 34% | 17% | 4% | 1% | - |
| 36 | PARK Aiden | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 37 | NILSEN Mark | 7% | 24% | 35% | 24% | 9% | 1% | - |
| 38 | KIM Tae | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
| 39 | PAN Anthony | 6% | 30% | 39% | 21% | 5% | - | |
| 40 | NOVOJILOV Daniel | 5% | 22% | 35% | 27% | 10% | 1% | |
| 41 | WUNDER Eli | 1% | 12% | 32% | 35% | 16% | 3% | |
| 42 | CANN Benjamin | 6% | 32% | 39% | 19% | 4% | - | |
| 43 | CZEPLA Andrew | - | 3% | 15% | 35% | 35% | 12% | |
| 44 | AYOTTE James | 8% | 29% | 37% | 21% | 5% | - | |
| 45 | MODANLOU Navid | 7% | 24% | 35% | 24% | 9% | 2% | - |
| 46 | LIU Adam | 5% | 22% | 34% | 26% | 10% | 2% | - |
| 47 | KENDLER Micah | - | 3% | 13% | 30% | 33% | 18% | 4% |
| 48 | NORMILE Nicholas | 4% | 20% | 38% | 28% | 9% | 1% | - |
| 49 | YIN Justin | 2% | 13% | 29% | 31% | 18% | 6% | 1% |
| 50 | MUKHERJEE Advik | 3% | 21% | 40% | 28% | 7% | - | |
| 51 | KROPP Wesley | - | 4% | 20% | 39% | 30% | 7% | |
| 52 | KONG Brandon | 45% | 40% | 13% | 2% | - | - | |
| 53 | SINGLETON Aman | 13% | 35% | 34% | 15% | 3% | - | |
| 54 | CAFASSO Alexander | 6% | 24% | 36% | 25% | 8% | 1% | |
| 55 | NOOL Alexander | 62% | 32% | 5% | - | - | - | |
| 56 | KIM Julian | 9% | 30% | 37% | 20% | 4% | - | |
| 57 | CHOW Jovan | 21% | 38% | 28% | 10% | 2% | - | - |
| 58 | CHEN Jayden | 20% | 41% | 29% | 9% | 1% | - | - |
| 59 | KIM Henry | 16% | 36% | 32% | 13% | 3% | - | |
| 60 | OZBAY Alp | 20% | 42% | 29% | 8% | 1% | - | - |
| 61 | DONE Kevin | 5% | 32% | 40% | 19% | 4% | - | |
| 62 | SONG Aidan | 8% | 30% | 38% | 19% | 4% | - | |
| 63 | ADAMES Alberto | 3% | 17% | 38% | 32% | 10% | 1% | |
| 64 | COSME, JR David | 4% | 20% | 35% | 28% | 11% | 2% | - |
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.