Santa Clara Convention Center - Santa Clara, 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 | WONG KEVIN | - | - | 3% | 19% | 48% | 30% | |
| 2 | CARRIER Gabriel A. | - | - | - | 2% | 15% | 43% | 40% |
| 3 | YAO Geoffrey B. | - | - | - | 1% | 10% | 38% | 50% |
| 3 | ULINICH Alexander | - | 2% | 11% | 32% | 40% | 16% | |
| 5 | KIM Sullivan | - | - | 2% | 12% | 32% | 38% | 16% |
| 6 | PAK Elliot | - | 1% | 7% | 26% | 41% | 22% | 3% |
| 7 | CHIRASHNYA Daniel | - | - | 2% | 12% | 40% | 47% | |
| 8 | EVERS Gabriel | - | - | 3% | 18% | 40% | 32% | 7% |
| 9 | DOWDELL Riley | - | - | 3% | 16% | 40% | 34% | 7% |
| 10 | WANG DEVON | - | - | - | 2% | 16% | 45% | 37% |
| 11 | WATT Darren | - | 3% | 14% | 34% | 36% | 14% | |
| 12 | MULCAHY Olaf | - | - | 1% | 6% | 25% | 46% | 23% |
| 13 | PETERSON Matthew | 3% | 17% | 32% | 30% | 15% | 3% | - |
| 14 | OBERDERFER Vladimir | 5% | 24% | 37% | 26% | 7% | 1% | |
| 15 | HE Zhiheng | - | - | 1% | 7% | 27% | 42% | 23% |
| 16 | JONES Caleb | - | - | 2% | 11% | 33% | 41% | 14% |
| 17 | GALLO James | - | - | - | 1% | 10% | 38% | 51% |
| 18 | FU Leon | - | - | 7% | 29% | 44% | 21% | |
| 19 | WANG zhixing (Daniel） | - | - | 2% | 14% | 38% | 37% | 9% |
| 20 | LIU Noah | - | 3% | 15% | 33% | 34% | 14% | 2% |
| 21 | KIM Nathan | - | - | - | 2% | 13% | 41% | 44% |
| 22 | PARK Elliot | - | - | - | 1% | 8% | 35% | 57% |
| 23 | CASTELLY Luke | - | - | 6% | 29% | 44% | 21% | |
| 24 | MCADOO Declan | 1% | 7% | 25% | 37% | 24% | 5% | |
| 25 | LOFTUS Luca | 1% | 9% | 30% | 39% | 19% | 3% | |
| 26 | STRAUSS Luke | - | - | 1% | 6% | 25% | 44% | 25% |
| 27 | RICHARDS Jackson D. | - | - | 2% | 13% | 31% | 37% | 17% |
| 28 | LI Ethan R. | 1% | 7% | 28% | 41% | 20% | 4% | - |
| 29 | LEE Chun Po | - | - | 4% | 18% | 37% | 32% | 7% |
| 30 | CHEN Bailey | - | 1% | 17% | 41% | 33% | 8% | |
| 31 | LAURIMAA Emil | 2% | 14% | 36% | 33% | 12% | 2% | - |
| 32 | SEO Shawn | - | - | 4% | 17% | 37% | 33% | 8% |
| 33 | DONAHUE Lake | - | 3% | 16% | 34% | 31% | 14% | 2% |
| 34 | WRIGHT Christopher | - | - | 1% | 5% | 19% | 41% | 35% |
| 35 | ZHANG Nathan | - | 3% | 12% | 28% | 34% | 19% | 4% |
| 36 | KIM Ian | - | 1% | 8% | 26% | 38% | 23% | 5% |
| 37 | CHU Allan | - | - | 2% | 16% | 47% | 35% | |
| 38 | AYABINA JR John | - | 1% | 5% | 20% | 38% | 30% | 6% |
| 39 | ERLIKHMAN Adrian | - | 2% | 14% | 36% | 34% | 12% | 1% |
| 40 | KUO Rylan | - | 6% | 23% | 37% | 26% | 7% | 1% |
| 41 | MAJAM Brandon Audie | 3% | 16% | 34% | 32% | 13% | 2% | - |
| 42 | DAO Alexander | - | 1% | 11% | 30% | 35% | 19% | 4% |
| 43 | ZHANG Alec | - | 1% | 6% | 24% | 43% | 27% | |
| 44 | YU Austin | 3% | 19% | 38% | 29% | 9% | 1% | |
| 45 | DONDISCH ilan | 4% | 19% | 37% | 29% | 10% | 1% | |
| 46 | MIAO KUNQI | 1% | 12% | 35% | 38% | 12% | 1% | |
| 47 | LIU Yikun | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 47 | ZHUANG William | - | 2% | 13% | 32% | 33% | 16% | 3% |
| 49 | YUEN Nathan | 1% | 10% | 30% | 36% | 18% | 4% | - |
| 50 | KIM Taeho | 3% | 16% | 34% | 32% | 13% | 2% | - |
| 51 | LEE Bryson | - | 4% | 20% | 36% | 29% | 9% | 1% |
| 52 | SINHA Zaan | - | 4% | 18% | 36% | 32% | 10% | 1% |
| 53 | PRAKASH Hari | 2% | 14% | 34% | 34% | 14% | 2% | - |
| 54 | BURLING Trenor | - | 1% | 9% | 28% | 38% | 20% | 3% |
| 55 | BUERGISSER Kai | 3% | 21% | 42% | 28% | 6% | - | |
| 56 | KNUDSEN Travis | - | 3% | 17% | 38% | 33% | 8% | |
| 57 | BEAVER Aaron | - | 3% | 31% | 43% | 20% | 3% | |
| 58 | BHARGAV Angad | 14% | 37% | 33% | 13% | 2% | - | |
| 59 | CHOI Zachary | 2% | 15% | 34% | 34% | 14% | 2% | |
| 60 | BHATT Arjun | 20% | 40% | 29% | 10% | 1% | - | |
| 61 | RAHMAN Yousef | 4% | 22% | 40% | 27% | 7% | 1% | - |
| 62 | CLAES Lucas | 4% | 21% | 37% | 27% | 9% | 1% | - |
| 63 | LEE Jayden J. | - | 1% | 9% | 27% | 36% | 22% | 5% |
| 64 | LIU Andrew | - | 2% | 10% | 30% | 40% | 18% | |
| 65 | CHENG Trevor | 6% | 40% | 37% | 14% | 3% | - | - |
| 66 | DU Peter | 20% | 47% | 26% | 6% | 1% | - | - |
| 67 | CHUNG Ethan Sheng Xuan | 1% | 10% | 29% | 36% | 19% | 4% | - |
| 67 | LI Yunji | 7% | 28% | 38% | 22% | 5% | 1% | - |
| 69 | LEE JiYuen | 6% | 27% | 37% | 23% | 6% | 1% | - |
| 70 | HUSTON Riley | 6% | 30% | 38% | 20% | 5% | - | - |
| 71 | SIM Ian | 28% | 42% | 23% | 6% | 1% | - | - |
| 72 | LAU Alex | 39% | 41% | 17% | 3% | - | - | - |
| 72 | WAI Andreas | 2% | 16% | 34% | 32% | 13% | 3% | - |
| 74 | LAI Alexander | - | 4% | 22% | 38% | 26% | 8% | 1% |
| 75 | WONG Ethan | 27% | 42% | 24% | 6% | 1% | - | - |
| 76 | LIU Yueri | 1% | 10% | 31% | 36% | 18% | 4% | - |
| 77 | GOROZA Eric | 37% | 44% | 16% | 2% | - | - | |
| 78 | NOFZIGER Bennett | 22% | 43% | 27% | 7% | 1% | - | |
| 79 | WAGHOLIKAR Prathit | 42% | 51% | 6% | - | - | - | |
| 80 | LI zerong | 22% | 42% | 27% | 7% | 1% | - | |
| 81 | LAU Christian | 9% | 33% | 37% | 18% | 4% | - | - |
| 82 | HOLLAND Thomas | 5% | 22% | 34% | 26% | 11% | 2% | - |
| 82 | HIGGINS Calvin | 7% | 28% | 38% | 22% | 5% | 1% | - |
| 84 | MILEY Walker | 34% | 42% | 19% | 4% | - | - | - |
| 85 | BAGCHI Aritra | 1% | 7% | 21% | 33% | 26% | 10% | 1% |
| 85 | MARTIN Charles | 9% | 27% | 34% | 21% | 7% | 1% | - |
| 87 | BAKKEN Archer | 40% | 42% | 16% | 3% | - | - | - |
| 87 | JAIN Samyak | 1% | 9% | 27% | 36% | 22% | 5% | - |
| 89 | LIANG Eric | 8% | 32% | 37% | 18% | 4% | - | - |
| 90 | BENNETT Peter | 54% | 36% | 9% | 1% | - | - | - |
| 91 | RUFANOV Maxim | 48% | 39% | 12% | 2% | - | - | - |
| 92 | ZHOU Lawrence | 1% | 10% | 32% | 41% | 15% | 2% | - |
| 93 | GENCHEV Madav | 23% | 41% | 26% | 8% | 1% | - | |
| 94 | CHAKRAVARTHY Arjun | 17% | 43% | 31% | 8% | 1% | - | |
| 95 | NG Biwon | 12% | 35% | 35% | 15% | 3% | - | |
| 96 | REID Wesley | 46% | 48% | 5% | - | - | - | |
| 97 | CHANG Kristopher | 6% | 45% | 38% | 10% | 1% | - | - |
| 98 | SECONDINE James | 78% | 21% | 2% | - | - | - | - |
| 99 | TAMAYO-SARVER Daniel | 35% | 44% | 18% | 3% | - | - | - |
| 100 | DROBSHOFF David | 4% | 27% | 41% | 23% | 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.