RIMAC Arena @ 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 | CALLAHAN Jaden P. | - | - | - | 2% | 18% | 49% | 31% |
| 2 | TANN Justin | - | - | - | 3% | 17% | 44% | 36% |
| 3 | UEYAMA Ietetsu A. | - | 2% | 12% | 32% | 37% | 15% | 2% |
| 3 | WU Mengke | - | - | 2% | 10% | 29% | 39% | 19% |
| 5 | BARBER William S. | - | - | 2% | 12% | 34% | 40% | 12% |
| 6 | DHINGRA Gian K. | - | - | - | 3% | 17% | 41% | 38% |
| 7 | WOODWARD Connor | - | - | 2% | 10% | 31% | 41% | 16% |
| 8 | JIANG Anthony | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 9 | YUN Jaesun | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 10 | BARRETO Elliott | - | - | 4% | 25% | 51% | 20% | |
| 11 | BREIER Satchel E. | - | - | - | 2% | 12% | 41% | 45% |
| 12 | FRIAS Saul F. | - | - | - | 2% | 15% | 47% | 37% |
| 13 | LIM William J. | 3% | 17% | 35% | 30% | 12% | 2% | - |
| 14 | WANG Eric Y. | - | 1% | 7% | 26% | 42% | 25% | |
| 15 | NOBLE Daniel | - | - | 3% | 16% | 34% | 34% | 12% |
| 16 | HOLZ William A. | - | 13% | 37% | 36% | 13% | 1% | |
| 17 | SWORDS Evan F. | - | 1% | 12% | 36% | 39% | 11% | 1% |
| 18 | CASTRO-SOLIS HUGO ABEL | - | - | - | 3% | 17% | 42% | 38% |
| 19 | CHOI Silas | 1% | 6% | 22% | 35% | 26% | 9% | 1% |
| 20 | XU William | - | 1% | 7% | 23% | 37% | 27% | 6% |
| 21 | HOLZ Daniel | - | - | 1% | 8% | 28% | 43% | 20% |
| 22 | QIU Nathan | - | 2% | 13% | 33% | 35% | 15% | 2% |
| 23 | KROON Lucas | 2% | 14% | 34% | 33% | 14% | 2% | - |
| 24 | PATIL Aaryan A. | - | 13% | 37% | 36% | 12% | 1% | |
| 25 | CHIN Matthew W. | - | - | - | 4% | 21% | 44% | 29% |
| 26 | VO Minh Q. | - | 3% | 15% | 33% | 34% | 13% | 2% |
| 27 | JINICH Ilan R. | - | 2% | 13% | 30% | 34% | 17% | 3% |
| 28 | YANG Dylan | 1% | 10% | 33% | 38% | 15% | 2% | - |
| 29 | REYES Xavier M. | - | - | 2% | 10% | 33% | 42% | 13% |
| 30 | RHEE Ethan N. | 1% | 22% | 42% | 27% | 7% | 1% | |
| 31 | PATRICO Peter | 8% | 29% | 36% | 20% | 6% | 1% | - |
| 32 | VELTZ Tyler J. | 93% | 7% | - | - | - | - | |
| 33 | BAUER Hank E. | - | 4% | 16% | 33% | 33% | 12% | 2% |
| 34 | REED Samuel J. | 1% | 10% | 30% | 36% | 19% | 4% | - |
| 35 | BYON Adrian | 9% | 33% | 37% | 17% | 4% | - | - |
| 36 | ROSBERG Dashiell W. | - | 5% | 19% | 34% | 29% | 12% | 2% |
| 37 | LIN Daniel | 1% | 11% | 28% | 34% | 20% | 6% | 1% |
| 38 | MIYASAKI-CASTRO Masanobu | 1% | 13% | 38% | 34% | 12% | 2% | - |
| 39 | ZHANG Yankun | 13% | 37% | 34% | 13% | 2% | - | - |
| 40 | TAO Jeffrey | - | 3% | 19% | 38% | 30% | 9% | 1% |
| 41 | CAISSE Simon B. | 5% | 22% | 36% | 27% | 9% | 1% | - |
| 42 | POFF James | 2% | 15% | 34% | 33% | 14% | 2% | - |
| 43 | XU Andrew | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 44 | KUMAR Sachit | 27% | 41% | 24% | 7% | 1% | - | - |
| 45 | BRISTOL Brijen | 16% | 38% | 31% | 12% | 2% | - | - |
| 46 | CHOW William T. | 4% | 20% | 35% | 29% | 11% | 2% | - |
| 47 | BRAKEY Ryan | 2% | 16% | 35% | 33% | 12% | 2% | - |
| 48 | BYON Julian | 14% | 35% | 33% | 15% | 3% | - | - |
| 49 | SCOVILL Tenzin S. | 10% | 33% | 35% | 17% | 4% | - | - |
| 50 | GUO Ethan | 26% | 41% | 24% | 7% | 1% | - | - |
| 51 | LO Konnor | 2% | 14% | 33% | 32% | 15% | 3% | - |
| 52 | RAJAN Advait | 9% | 29% | 36% | 20% | 6% | 1% | - |
| 53 | LLAMAS Diego F. | - | 2% | 10% | 26% | 34% | 22% | 5% |
| 53 | CHEN Lohen | 2% | 14% | 34% | 33% | 14% | 2% | - |
| 55 | HERRERA Aragon | 40% | 42% | 16% | 3% | - | - | - |
| 56 | LEE Noah | 21% | 41% | 28% | 9% | 1% | - | - |
| 57 | CENTENO Zachary | 35% | 44% | 18% | 3% | - | - | - |
| 58 | KOH Caleb | 11% | 38% | 35% | 14% | 2% | - | - |
| 59 | HJERPE Wade H. | < 1% | 4% | 17% | 34% | 31% | 12% | 2% |
| 60 | NIETO Titus P. | 28% | 43% | 23% | 5% | 1% | - | - |
| 61 | TSAI Michael T. | 18% | 44% | 30% | 8% | 1% | - | - |
| 62 | OLARIO Raphael | 57% | 37% | 6% | - | - | - | - |
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.