Meadowlands Expo Center - Secaucus, NJ, 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 | MAZAHERI Fletcher | - | - | - | - | 5% | 29% | 66% |
2 | JAZWINSKI Ryan | - | - | 2% | 13% | 34% | 37% | 13% |
3 | HOU Gaven | - | - | 1% | 10% | 30% | 41% | 18% |
3 | DESERANNO Leander | - | - | - | - | 5% | 30% | 64% |
5 | CHEN Hanson | - | - | - | - | 1% | 15% | 84% |
6 | GE Felix Fei | - | - | - | 3% | 15% | 41% | 40% |
7 | TANG Royce | - | - | - | 2% | 13% | 39% | 45% |
8 | CHANG Parker | - | - | - | 4% | 19% | 43% | 34% |
9 | HUYNH Matthew | - | - | - | 4% | 18% | 41% | 37% |
10 | WANG Tiger | - | - | 1% | 7% | 24% | 40% | 27% |
11 | XIAN kevin | - | - | - | 1% | 7% | 34% | 59% |
12 | WU Wallace | - | - | - | 1% | 11% | 40% | 48% |
13 | FUKUDA Brando | - | - | - | 2% | 13% | 41% | 44% |
14 | GRIGORIEV Michael | - | - | - | 3% | 20% | 47% | 30% |
15 | PAN Howard Haoran | - | 2% | 12% | 32% | 37% | 16% | 1% |
16 | JIN Daniel | - | - | 2% | 11% | 32% | 39% | 16% |
17 | LI Jayden | - | - | 5% | 23% | 41% | 26% | 5% |
18 | LU Hansen | - | 4% | 19% | 37% | 30% | 10% | 1% |
19 | SONG Enoch | - | 5% | 19% | 33% | 29% | 12% | 2% |
20 | RAU Shogun | - | 1% | 7% | 21% | 36% | 28% | 7% |
21 | SIU Max | - | 1% | 7% | 23% | 36% | 26% | 6% |
22 | WANG Mendy | - | - | 3% | 17% | 39% | 35% | 6% |
22 | FAN Ze Lin | - | - | - | 3% | 18% | 47% | 32% |
24 | HONG Edwin | - | - | 1% | 8% | 28% | 42% | 21% |
25 | SHOU Raymond | - | 2% | 10% | 26% | 35% | 22% | 4% |
26 | JIN George | - | 1% | 9% | 26% | 37% | 23% | 4% |
27 | PAN Ethan | - | - | - | 3% | 15% | 40% | 42% |
28 | ULYSSE Jacob | - | - | 5% | 21% | 41% | 28% | 4% |
28 | KIM Daniel | - | - | 4% | 19% | 40% | 31% | 5% |
30 | ZHUANG Disheng (Eddie) | - | 1% | 6% | 22% | 37% | 28% | 6% |
31 | HUANG Jinyao | - | - | 3% | 16% | 38% | 34% | 9% |
32 | CAO Joshua | - | 3% | 18% | 38% | 32% | 8% | |
33 | QIAN Zekai | - | 1% | 9% | 29% | 42% | 20% | |
34 | ZHAI Derrick | - | - | 1% | 9% | 31% | 44% | 15% |
35 | WU Alexander | - | 4% | 17% | 34% | 31% | 12% | 2% |
36 | ZHAI Alex | - | 1% | 8% | 28% | 42% | 21% | |
37 | PLUMMER Waylon | - | - | 1% | 7% | 25% | 43% | 24% |
38 | NOVIKOV Yann | - | 4% | 18% | 36% | 31% | 10% | - |
38 | HUANG Marcus | 7% | 29% | 38% | 21% | 5% | < 1% | - |
40 | LIU Alex | - | - | 1% | 7% | 26% | 42% | 23% |
41 | SU Aiden | - | 1% | 8% | 26% | 38% | 22% | 4% |
42 | REN Ryan | - | 1% | 10% | 29% | 39% | 18% | 2% |
43 | WANG Ancen | - | 3% | 12% | 28% | 34% | 19% | 3% |
44 | QU Richard | - | - | 1% | 6% | 22% | 42% | 30% |
45 | LIN Joshua | 4% | 21% | 39% | 28% | 8% | 1% | |
46 | CZARNECKI Thomas | - | - | 3% | 18% | 43% | 35% | |
47 | HU Michael | 1% | 11% | 29% | 33% | 19% | 5% | 1% |
48 | TAN Charlie | - | - | 1% | 6% | 23% | 41% | 28% |
49 | ZHANG Vincent J | 1% | 6% | 25% | 37% | 24% | 6% | 1% |
50 | TANG Brayden | 1% | 22% | 40% | 27% | 9% | 1% | - |
51 | KINGSLEY Griffin | - | 2% | 9% | 26% | 37% | 22% | 4% |
52 | CHEN Steven | 2% | 15% | 33% | 32% | 15% | 3% | - |
53 | KIAYIAS Anthony | - | 3% | 13% | 30% | 34% | 17% | 3% |
54 | WATERFIELD Lysander | - | 2% | 11% | 28% | 35% | 20% | 4% |
55 | KUANG Cyrus | - | 2% | 11% | 28% | 34% | 20% | 4% |
56 | QIAN Will | 1% | 7% | 25% | 36% | 24% | 7% | 1% |
57 | WU Max | 5% | 22% | 35% | 26% | 10% | 2% | - |
58 | WU David | 4% | 23% | 38% | 26% | 7% | 1% | - |
59 | HEBERT SEBASTIEN | 4% | 21% | 37% | 28% | 9% | 1% | - |
60 | TAO Jiemi | - | - | 1% | 7% | 25% | 42% | 25% |
61 | CHEN Kyler | 5% | 22% | 36% | 26% | 9% | 1% | - |
62 | LIU jeremy | 10% | 31% | 35% | 19% | 5% | 1% | - |
63 | SHAW Eric | 1% | 10% | 26% | 34% | 22% | 7% | 1% |
64 | GUGALA Frank | - | 3% | 13% | 31% | 34% | 16% | 2% |
66 | CHEN Ethan | 1% | 5% | 20% | 35% | 28% | 10% | 1% |
67 | EVANS Desmond | - | 1% | 9% | 28% | 39% | 21% | 2% |
68 | WANG William | - | 4% | 23% | 40% | 26% | 7% | 1% |
69 | ZHONG Kingsley | 4% | 20% | 34% | 28% | 12% | 2% | - |
70 | WONG Blayke | 11% | 33% | 35% | 17% | 4% | - | - |
71 | CAO Aaron | - | 5% | 21% | 39% | 29% | 7% | |
72 | ZHANG Jason | - | 1% | 6% | 22% | 39% | 28% | 4% |
73 | TIAN Dylan | 20% | 40% | 29% | 9% | 1% | - | - |
74 | AMR HOSSNY Adam | 1% | 14% | 36% | 34% | 14% | 2% | - |
75 | CHOI Hunter | - | 2% | 12% | 32% | 38% | 14% | 2% |
76 | LIN Ziyue | 1% | 8% | 23% | 34% | 25% | 8% | 1% |
77 | KUPERBERG Thomas | 4% | 20% | 34% | 28% | 11% | 2% | - |
78 | LEE Kyle | 8% | 27% | 35% | 22% | 7% | 1% | - |
78 | XU Jason | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
80 | HUYNH Kaleb | 3% | 17% | 34% | 31% | 13% | 3% | - |
81 | PAN Xijun | 1% | 14% | 35% | 34% | 13% | 2% | |
82 | PU Yikun | 5% | 24% | 36% | 25% | 8% | 1% | - |
83 | BUCHNER Roland | 14% | 38% | 33% | 13% | 2% | - | - |
84 | WANG Jaaziel | 4% | 19% | 36% | 29% | 11% | 2% | - |
85 | MOON Nolan | 11% | 33% | 35% | 17% | 3% | - | - |
86 | WU Connor | 22% | 43% | 27% | 7% | 1% | - | |
87 | TIAN Andy | 4% | 18% | 33% | 30% | 13% | 3% | - |
88 | WANG Freyr | 2% | 16% | 35% | 32% | 12% | 2% | - |
89 | YANG Luca | 2% | 13% | 33% | 34% | 15% | 3% | - |
90 | KIAYIAS Alexander | - | 5% | 19% | 35% | 30% | 10% | 1% |
91 | JIAO Daniel | 1% | 8% | 25% | 36% | 23% | 6% | 1% |
92 | YU Oliver | - | 2% | 11% | 30% | 37% | 18% | 3% |
93 | ZHENG Lerui | - | 3% | 18% | 36% | 30% | 11% | 1% |
94 | LIU Brady | 8% | 38% | 37% | 14% | 2% | - | - |
94 | MADDES Gage | 11% | 33% | 36% | 17% | 3% | - | - |
96 | CHAE Emmett | 5% | 22% | 35% | 26% | 10% | 2% | - |
97 | WANG Joshua | 12% | 35% | 34% | 15% | 3% | - | - |
98 | LIU Mason | 1% | 14% | 35% | 34% | 14% | 2% | |
99 | KUBBA Krish | 1% | 8% | 34% | 38% | 16% | 3% | - |
100 | MAZAHERI John | 1% | 8% | 25% | 34% | 24% | 7% | 1% |
101 | JIANG Justin | 2% | 11% | 28% | 35% | 20% | 5% | - |
101 | PARK Joshua | 1% | 8% | 25% | 34% | 23% | 8% | 1% |
103 | XIA Vincent | 1% | 5% | 21% | 37% | 27% | 8% | 1% |
104 | JI Yuande Derek | 4% | 20% | 36% | 28% | 10% | 1% | - |
105 | SUN Andrew | 32% | 43% | 20% | 4% | - | - | - |
106 | HUA Isaac | 16% | 37% | 31% | 12% | 2% | - | - |
107 | LIN Oliver | 46% | 40% | 13% | 2% | - | - | - |
108 | SHEN Lucas | 5% | 23% | 36% | 26% | 9% | 1% | - |
109 | CREMEL Remi | 2% | 12% | 30% | 33% | 18% | 5% | - |
109 | DENG Jonathan | 2% | 14% | 32% | 33% | 16% | 3% | - |
111 | HUANG Dalynn | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
112 | CHONG Cooper | 13% | 36% | 35% | 14% | 2% | - | - |
113 | XU Jonathan | 7% | 27% | 37% | 22% | 6% | 1% | - |
114 | CHEN Dante | 3% | 23% | 40% | 26% | 7% | 1% | |
115 | RAY Callum | 4% | 19% | 37% | 29% | 10% | 1% | - |
116 | DAVIDSON Henry | 22% | 41% | 28% | 9% | 1% | - | - |
117 | LI Eric | 23% | 40% | 26% | 9% | 2% | - | - |
118 | MAZAHERI Theodore | 2% | 15% | 35% | 32% | 13% | 2% | - |
119 | BRADY David | 18% | 37% | 30% | 12% | 2% | - | - |
120 | HONG Thomas | 7% | 27% | 37% | 23% | 6% | 1% | - |
121 | ZHAO David | 2% | 11% | 30% | 35% | 18% | 4% | - |
122 | IM Andrew | 9% | 32% | 37% | 18% | 4% | - | - |
123 | KUTATELADZE Danieli | 24% | 41% | 26% | 7% | 1% | - | - |
124 | REYNOLDS CHANG Luke | 20% | 40% | 29% | 9% | 1% | - | - |
125 | HAN Jayden | 5% | 25% | 38% | 24% | 6% | 1% | - |
126 | HUANG Anthony | 6% | 25% | 37% | 25% | 7% | 1% | - |
127 | LEONG Michael | 9% | 28% | 35% | 21% | 7% | 1% | - |
128 | LU Ethan | 37% | 42% | 17% | 3% | - | - | - |
129 | HUANG Alec | 35% | 42% | 19% | 4% | - | - | - |
130 | MARTINSON Finn | 23% | 53% | 21% | 3% | - | - | - |
131 | CHEN Keegan | 24% | 44% | 26% | 6% | 1% | - | |
132 | JIANG Ethan | 11% | 33% | 35% | 17% | 4% | - | - |
133 | POLEBOYINA Aarav | 53% | 40% | 7% | - | - | - | - |
134 | KIM Marcus | 4% | 22% | 39% | 27% | 7% | 1% | - |
134 | FANG Ryan | 22% | 40% | 27% | 9% | 1% | - | - |
136 | GRIFFIN Andrew | 21% | 40% | 29% | 9% | 1% | - | - |
137 | GOLDSTEIN Tate | 46% | 39% | 13% | 2% | - | - | - |
137 | CREMEL Louis | 87% | 13% | 1% | - | - | - | - |
137 | ZHANG Vincent | 65% | 30% | 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.