Floyd Little Athletic Center - New Haven, CT, 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 | XIA Dashan | - | - | 1% | 7% | 34% | 58% | |
| 2 | BRADSHAW Carter | - | 1% | 7% | 21% | 35% | 28% | 8% |
| 3 | WU Jonathan | - | - | - | 1% | 9% | 37% | 53% |
| 3 | LI Morgan | - | 3% | 18% | 38% | 32% | 9% | |
| 5 | SVERDLOV Seth | - | - | - | 1% | 8% | 35% | 56% |
| 6 | KARIMOV Amir | - | 1% | 8% | 29% | 43% | 19% | |
| 7 | TRAN Spencer | - | - | 2% | 9% | 26% | 39% | 23% |
| 8 | YIN Chujun | 1% | 12% | 35% | 36% | 14% | 2% | |
| 9 | KABA Elias | 2% | 11% | 29% | 35% | 19% | 4% | |
| 10 | CHEN Leonardo | - | - | - | 1% | 8% | 36% | 55% |
| 11 | LI Jade | - | - | 4% | 19% | 38% | 32% | 6% |
| 12 | AHMED Mohsen | - | 2% | 11% | 30% | 38% | 19% | |
| 13 | CHEN Tianjun | 1% | 9% | 31% | 39% | 18% | 2% | |
| 14 | OSHIMA Robert | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
| 15 | LIN Nathan | - | 4% | 18% | 36% | 31% | 10% | 1% |
| 16 | WANG Tony | - | 4% | 17% | 34% | 32% | 11% | |
| 17 | KIM Henry | - | - | 3% | 15% | 36% | 37% | 9% |
| 18 | HERNDON Liam | - | 2% | 12% | 31% | 36% | 17% | 2% |
| 19 | CHEN Edward | - | 5% | 19% | 35% | 30% | 10% | |
| 20 | BENNETT Nathaniel | 17% | 37% | 31% | 13% | 2% | - | |
| 21 | GLUSHKOV David | - | 6% | 25% | 39% | 24% | 5% | |
| 22 | RIM Eugene | - | 1% | 7% | 24% | 39% | 26% | 4% |
| 23 | JOYNER Braylon | 3% | 14% | 29% | 31% | 18% | 5% | 1% |
| 24 | CHOU-ESTEBAN Pau | 1% | 7% | 25% | 37% | 25% | 6% | |
| 25 | LIU Adam | - | - | 3% | 19% | 44% | 33% | |
| 26 | MORI Seneca | 1% | 14% | 36% | 35% | 13% | 1% | |
| 27 | CHEN Evan | 1% | 12% | 31% | 35% | 17% | 3% | - |
| 28 | SUH Aiden | - | 5% | 24% | 41% | 26% | 4% | |
| 29 | PARIGIAN Alexander | 6% | 34% | 39% | 18% | 3% | - | |
| 30 | CHEN Allen | - | 1% | 7% | 26% | 42% | 24% | |
| 31 | WARD Kofi | 4% | 28% | 39% | 22% | 6% | 1% | - |
| 32 | YANG Alex | 1% | 12% | 35% | 36% | 14% | 1% | |
| 33 | FU Nolan | - | 1% | 9% | 28% | 38% | 20% | 3% |
| 34 | CUELLAR Markus | - | 6% | 22% | 37% | 27% | 7% | |
| 35 | HU HAOYUE | - | 5% | 21% | 37% | 29% | 8% | |
| 36 | CHO Adrian | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 37 | MANN Daniel | 11% | 36% | 35% | 15% | 3% | - | - |
| 38 | KELLEY Hayden | - | 7% | 27% | 37% | 22% | 5% | - |
| 39 | LIU Jeremiah W. | 1% | 9% | 26% | 36% | 23% | 5% | |
| 40 | ACAR Devin | - | 4% | 19% | 36% | 31% | 10% | |
| 41 | SUN Lucas | 1% | 10% | 28% | 35% | 20% | 4% | |
| 42 | ZHAI Junqi | 3% | 16% | 33% | 31% | 14% | 2% | |
| 43 | LECUYER-SCHOONMAKER Declan | - | 5% | 23% | 39% | 26% | 6% | |
| 44 | MOZZER Nolan | 9% | 33% | 36% | 17% | 4% | - | |
| 45 | LEE Elijah | 13% | 45% | 32% | 9% | 1% | - | |
| 46 | WHITE Aidan | 6% | 25% | 36% | 24% | 8% | 1% | |
| 47 | HAN Nathan | 53% | 37% | 9% | 1% | - | - | |
| 48 | LARAGY Collin | 9% | 30% | 37% | 20% | 5% | - | - |
| 49 | CAO Gavin | 4% | 18% | 32% | 29% | 13% | 3% | - |
| 50 | ZHU Yiming | 1% | 12% | 33% | 35% | 16% | 3% | - |
| 51 | ROBINSON Garrett | 7% | 28% | 37% | 22% | 6% | 1% | - |
| 52 | CHEN Jayden A | 56% | 36% | 7% | 1% | - | - | |
| 53 | RVACHEV Michael | 2% | 14% | 31% | 33% | 16% | 3% | |
| 54 | LIN Lucas | 25% | 41% | 26% | 8% | 1% | - | |
| 55 | LEE Harrison | 38% | 42% | 17% | 3% | - | - | |
| 56 | LEE Connor | 8% | 29% | 36% | 20% | 5% | 1% | |
| 57 | BEAULIEU Edmund | 60% | 33% | 6% | 1% | - | - | |
| 58 | SKLAR Davida | 2% | 12% | 32% | 35% | 17% | 3% | - |
| 59 | CHEN Hayden | 20% | 40% | 29% | 10% | 1% | - | - |
| 60 | HE Yurui | 1% | 11% | 29% | 35% | 19% | 4% | - |
| 61 | SPALDING Elihu | 6% | 22% | 34% | 26% | 10% | 2% | - |
| 61 | LIU George | 34% | 43% | 19% | 4% | - | - | - |
| 63 | MITSCH Aubrey | 9% | 37% | 37% | 14% | 2% | - | |
| 64 | LEE Ryan | 63% | 31% | 5% | - | - | - | - |
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.