Liontree Arena (RIMAC) @ UC San Diego - La Jolla, CA, 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 | KIM Shawn J. | - | - | - | - | 5% | 33% | 62% |
| 2 | PAN Jerry | - | - | 1% | 8% | 28% | 42% | 21% |
| 3 | HJERPE Wade H. | - | 4% | 17% | 34% | 33% | 12% | |
| 3 | WANG Eric Y. | - | - | 1% | 6% | 25% | 43% | 25% |
| 5 | REYES Xavier M. | 1% | 6% | 21% | 35% | 28% | 9% | |
| 6 | SWORDS Evan F. | - | 1% | 6% | 23% | 38% | 27% | 5% |
| 6 | WANG Nicolas | - | 5% | 20% | 37% | 29% | 8% | - |
| 8 | VO Minh Q. | - | 5% | 28% | 44% | 19% | 3% | - |
| 9 | KUMAR Sachit | - | 1% | 16% | 36% | 33% | 12% | 2% |
| 10 | KOTOV Leonid | - | - | 2% | 10% | 30% | 39% | 19% |
| 11 | HOLZ William A. | - | - | 1% | 6% | 25% | 43% | 26% |
| 12 | NOBLE Daniel | - | - | - | 5% | 21% | 42% | 31% |
| 12 | LE Hayden | - | - | 2% | 18% | 47% | 29% | 3% |
| 14 | CASTRO-SOLIS Hugo Abel | - | - | - | 1% | 8% | 38% | 53% |
| 15 | LEE Noah | 1% | 12% | 33% | 35% | 16% | 3% | - |
| 16 | GAO Albert | 3% | 18% | 34% | 30% | 13% | 2% | |
| 17 | TAO Jeffrey | - | - | 3% | 14% | 35% | 36% | 12% |
| 18 | PATIL Aaryan A. | - | - | 4% | 19% | 38% | 30% | 8% |
| 19 | SUORSA Markus | - | 3% | 15% | 34% | 33% | 13% | 1% |
| 20 | MIYASAKI-CASTRO Masanobu | - | - | 3% | 15% | 35% | 34% | 12% |
| 21 | KIM Andrew H. | - | - | 1% | 10% | 33% | 45% | 11% |
| 22 | QIU Nathan | - | - | 5% | 22% | 38% | 28% | 7% |
| 23 | GEORGE Evan C. | - | - | - | 1% | 9% | 39% | 51% |
| 24 | BYON Adrian | - | 8% | 32% | 40% | 17% | 2% | - |
| 25 | WONG James T. | 3% | 17% | 36% | 31% | 11% | 1% | - |
| 26 | PAN Alex | - | 5% | 20% | 36% | 29% | 9% | 1% |
| 27 | KROON Lucas | - | 2% | 16% | 36% | 32% | 12% | 2% |
| 28 | LO Konnor | - | 1% | 9% | 27% | 36% | 21% | 5% |
| 29 | BEITEL Noah | - | 1% | 11% | 31% | 36% | 18% | 3% |
| 30 | MUNGUIA Nathan | 1% | 11% | 33% | 36% | 16% | 3% | - |
| 31 | GIANETTO Ethan K. | 3% | 18% | 38% | 30% | 10% | 2% | - |
| 32 | JOHNSON Kai | 69% | 29% | 2% | - | - | - | - |
| 33 | HOLZ Daniel | - | - | 1% | 7% | 34% | 45% | 14% |
| 34 | ROSBERG Dashiell W. | - | 2% | 12% | 32% | 35% | 16% | 2% |
| 35 | RIGGINS Littleton K. | 6% | 24% | 36% | 25% | 8% | 1% | |
| 36 | CHAN Aidan | 1% | 10% | 30% | 35% | 18% | 4% | - |
| 37 | BURR Tanner B. | - | - | 6% | 28% | 43% | 20% | 2% |
| 38 | CHEN Howard | - | - | 1% | 7% | 31% | 47% | 15% |
| 39 | BOLTON Dawson E. | - | - | - | 2% | 12% | 39% | 46% |
| 40 | CORNEJO Jeffrey A. | - | 4% | 17% | 34% | 31% | 12% | 1% |
| 41 | ZHANG Yankun | 12% | 47% | 32% | 8% | 1% | - | - |
| 42 | BYON Julian | 6% | 25% | 38% | 23% | 7% | 1% | - |
| 43 | BONIFIELD Arthur G. | 2% | 11% | 28% | 35% | 21% | 5% | |
| 44 | CAISSE Simon B. | 1% | 10% | 29% | 37% | 19% | 4% | - |
| 45 | OLARIO Raphael | 38% | 43% | 16% | 3% | - | - | - |
| 46 | VELTZ Tyler J. | 34% | 43% | 19% | 4% | - | - | - |
| 47 | RADY-PENTEK Charles A. | - | 4% | 20% | 35% | 29% | 10% | 1% |
| 47 | RAMANAN Govind | 2% | 20% | 44% | 28% | 6% | - | - |
| 49 | LI Yiwei | 1% | 12% | 39% | 36% | 11% | 1% | - |
| 50 | YAN Kevin | 10% | 34% | 37% | 17% | 3% | - | - |
| 51 | POFF Kainoa | 23% | 41% | 27% | 8% | 1% | - | - |
| 52 | RAMANAN Jaisimh | 19% | 38% | 29% | 11% | 2% | - | |
| 53 | GILSHTEYN Jacob | 7% | 34% | 38% | 17% | 3% | - | - |
| 54 | NIETO Titus P. | 15% | 41% | 32% | 10% | 2% | - | - |
| 55 | ZHAO Zhiyu | 19% | 60% | 19% | 2% | - | - | - |
| 56 | WANG HongXi | 62% | 33% | 5% | - | - | - | - |
| 57 | YU Kevin | 17% | 42% | 30% | 9% | 1% | - | - |
| 57 | YU Casey | 50% | 40% | 9% | 1% | - | - | - |
| 59 | GARDNER David | 18% | 49% | 28% | 5% | - | - | - |
| 60 | REBELLO Derek | 12% | 35% | 35% | 15% | 3% | - | - |
| 61 | ZENG Vito | 34% | 43% | 19% | 4% | - | - | - |
| 62 | CONTRACTOR Cyrus | 56% | 36% | 8% | 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.