Ontario Convention Center - Hall A&B - Ontario, 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 | RONG Gordon | - | 1% | 8% | 26% | 41% | 24% | |
2 | MAZAHERI Fletcher | - | - | - | 1% | 10% | 38% | 51% |
3 | ZHANG Albert | - | - | - | 3% | 19% | 44% | 33% |
3 | PARKE Nathaniel | - | 1% | 6% | 26% | 43% | 24% | |
5 | ROSADO Balthazar Francisco | - | - | - | 3% | 17% | 41% | 38% |
6 | MEHROTRA Neel | - | - | - | 4% | 20% | 43% | 33% |
6 | WANG Joey | - | - | - | - | 1% | 17% | 82% |
8 | TUBALTSEV Evan | - | - | 4% | 19% | 42% | 35% | |
9 | FU Nolan | - | 4% | 22% | 44% | 30% | ||
10 | TANG Zheng | - | 1% | 4% | 16% | 33% | 33% | 12% |
11 | WONG Vansen | 4% | 18% | 33% | 29% | 13% | 3% | - |
12 | XUE Michael | - | 2% | 15% | 36% | 35% | 11% | |
13 | WANG Lucas | - | 1% | 7% | 22% | 34% | 27% | 8% |
14 | GACIOCH Noah | - | - | 1% | 7% | 28% | 44% | 20% |
15 | DAI Steven (Chengwen) | - | 2% | 11% | 28% | 35% | 20% | 4% |
16 | DENG haoyu | - | - | 2% | 11% | 29% | 38% | 19% |
17 | WANG Jiacheng | - | 1% | 8% | 29% | 39% | 20% | 3% |
18 | JAO Aaron | - | 1% | 7% | 23% | 36% | 26% | 7% |
19 | ENG Kyler | - | - | 2% | 12% | 32% | 38% | 14% |
20 | GREENMAN Duke | - | 1% | 9% | 27% | 37% | 21% | 4% |
21 | TANG Michael | - | - | 2% | 10% | 27% | 39% | 22% |
21 | LIU Zicheng | - | 1% | 5% | 17% | 33% | 32% | 13% |
23 | VAN JAARSVELD Leo | - | 3% | 17% | 37% | 34% | 10% | |
24 | KIM Julian | - | 3% | 16% | 36% | 36% | 9% | |
25 | WANG Devin | - | 2% | 10% | 27% | 35% | 21% | 5% |
26 | WOOLCOCK Cash | 1% | 11% | 30% | 36% | 18% | 3% | - |
27 | KIM Evan | - | 2% | 15% | 41% | 34% | 8% | 1% |
28 | MULCAHY Sebastian | - | - | 1% | 11% | 39% | 48% | |
29 | VOO Lucas | 2% | 14% | 35% | 34% | 14% | 2% | |
30 | SHOURIE Seth | 3% | 18% | 34% | 29% | 13% | 3% | - |
31 | MOU Jaydon | - | 2% | 11% | 29% | 36% | 19% | 3% |
32 | ZENG Oliver | 12% | 32% | 33% | 17% | 4% | 1% | - |
33 | SU Samuel | - | 3% | 14% | 29% | 32% | 18% | 4% |
34 | MAZAHERI Theodore | 9% | 29% | 34% | 20% | 6% | 1% | < 1% |
35 | WONG Kyle | - | 1% | 8% | 25% | 35% | 24% | 6% |
36 | DING Max | - | 2% | 15% | 36% | 35% | 12% | |
37 | KUANG Cyrus | - | 1% | 9% | 30% | 40% | 19% | |
38 | ADDLEMAN Joshua | - | - | 4% | 15% | 33% | 34% | 13% |
39 | CHEN Aiden | - | 2% | 11% | 26% | 34% | 22% | 6% |
40 | YAO Tristan | - | 4% | 20% | 38% | 30% | 8% | |
41 | XIE HanZhang (Elon) | 24% | 43% | 26% | 6% | 1% | ||
42 | KROTZ Nicolas | 48% | 39% | 11% | 2% | - | - | |
43 | MA Nolan | - | 6% | 25% | 39% | 24% | 5% | |
45 | SHOURIE Neel | 3% | 23% | 39% | 27% | 8% | 1% | |
46 | WU MiEr | 3% | 23% | 41% | 26% | 6% | - | |
47 | GORDON David | 15% | 36% | 33% | 14% | 2% | - | |
48 | DU Evan | - | 1% | 10% | 32% | 40% | 17% | |
49 | HUA Nolan | 9% | 30% | 37% | 19% | 4% | - | |
50 | WU Nathan | 1% | 10% | 33% | 40% | 15% | ||
51 | LIU Daniel | 23% | 40% | 27% | 9% | 2% | - | - |
52 | LIU Xuyao | 1% | 6% | 23% | 37% | 27% | 6% | - |
53 | MA Ciel | - | 2% | 11% | 27% | 34% | 21% | 5% |
54 | MILLER Xavier | 20% | 39% | 29% | 10% | 2% | - | - |
55 | LIU Aiden | 6% | 25% | 38% | 24% | 6% | - | |
56 | MOSLEY Wally | 1% | 10% | 32% | 37% | 18% | 3% | |
57 | BACON Corban | 29% | 45% | 21% | 4% | - | - | |
58 | LIU Yihong | 4% | 22% | 38% | 27% | 8% | 1% | - |
59 | LIN Daniel | 6% | 27% | 38% | 22% | 6% | 1% | - |
60 | SCHWARTZMAN Ethan | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
61 | SAMIMI Sina | 2% | 11% | 26% | 32% | 21% | 7% | 1% |
62 | ZHANG Sean | - | 1% | 7% | 22% | 36% | 27% | 7% |
63 | SUN Jiarui (Jerry) | 7% | 26% | 37% | 23% | 6% | 1% | - |
64 | KHUSHRAJ Rohan | 5% | 25% | 41% | 25% | 5% | ||
65 | TOUSSAINT Wizard | - | - | 3% | 15% | 38% | 40% | 4% |
66 | SRIKANTH Hariharan | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
67 | HIGGINS Karl | - | 4% | 18% | 34% | 30% | 12% | 2% |
68 | LI Stephen | - | 4% | 14% | 30% | 32% | 17% | 3% |
69 | FERRIERE Theo | 11% | 34% | 36% | 16% | 3% | - | - |
70 | RONG Marcus | - | 2% | 11% | 30% | 38% | 17% | 2% |
70 | NGUYEN Ethan | 7% | 26% | 35% | 23% | 8% | 1% | - |
72 | KIM Jayden | - | 1% | 7% | 25% | 39% | 25% | 4% |
73 | SHIH Derek | 8% | 27% | 35% | 22% | 7% | 1% | - |
74 | GUO Luke | 2% | 11% | 27% | 33% | 21% | 6% | 1% |
75 | DENG Destin | 5% | 21% | 33% | 26% | 11% | 2% | - |
76 | YU Haoyun | 1% | 10% | 33% | 37% | 17% | 3% | - |
77 | KOU Mason | 1% | 8% | 23% | 34% | 25% | 8% | 1% |
78 | MA kevin | 9% | 34% | 36% | 17% | 4% | - | - |
79 | YU Brandon | 5% | 21% | 35% | 27% | 10% | 2% | - |
80 | ZHAO Kyle Zekai | 8% | 27% | 35% | 22% | 7% | 1% | - |
81 | ZHANG Chaoyi(Joey) | - | 2% | 10% | 27% | 35% | 21% | 5% |
82 | CHAUDHARY Oliver | 23% | 40% | 27% | 9% | 2% | - | - |
83 | AULAKH Eshaan | 2% | 15% | 34% | 33% | 14% | 2% | - |
84 | THOMPSON Luca | 8% | 26% | 34% | 23% | 8% | 1% | - |
85 | WONG Aaron | 2% | 13% | 35% | 35% | 14% | 2% | |
86 | LEE Davidson | 26% | 46% | 23% | 5% | - | - | |
87 | AZAMOV Samir | 1% | 9% | 32% | 38% | 18% | 3% | |
88 | TIAN Dylan | 30% | 46% | 20% | 4% | - | - | |
89 | YOON Jonathan | 19% | 43% | 29% | 8% | 1% | ||
90 | JIANG William | 2% | 16% | 36% | 33% | 12% | 1% | |
91 | JIANG Jack | 25% | 45% | 24% | 6% | 1% | - | |
92 | YANG Rony | 22% | 46% | 25% | 6% | 1% | - | - |
93 | ZHAO Luke | 4% | 18% | 33% | 29% | 13% | 3% | - |
94 | LEE Lucas | 4% | 19% | 34% | 29% | 12% | 2% | - |
95 | HUR Tyson | 24% | 42% | 26% | 7% | 1% | - | - |
96 | TAVERNA Matteo | - | 13% | 35% | 34% | 15% | 3% | - |
97 | YOON Ian | 59% | 34% | 6% | - | - | - | - |
98 | CHU Clayton | 53% | 36% | 9% | 1% | - | - | |
99 | GUO Jonathan | 6% | 25% | 38% | 24% | 6% | - | |
100 | JU Shang | 5% | 21% | 33% | 26% | 11% | 2% | - |
101 | LI Bryan | 8% | 27% | 34% | 22% | 7% | 1% | - |
102 | HUNG Ludwig | 1% | 15% | 42% | 32% | 9% | 1% | |
103 | PARK Sean | 8% | 28% | 37% | 21% | 5% | - | - |
104 | ZHANG Zhihan | 13% | 35% | 33% | 15% | 3% | - | - |
105 | MORRIS Blake | 1% | 18% | 41% | 30% | 9% | 1% | - |
106 | KOU Logan | 41% | 45% | 13% | 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.