Gaylord National Resort and Convention Center - National Harbor, MD, 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 | - | - | - | - | 2% | 21% | 77% |
2 | WANG Elijah (QiChen) | - | - | 3% | 14% | 36% | 37% | 10% |
3 | ZHAI Derrick | - | - | 4% | 22% | 46% | 29% | |
3 | HOU Gaven | - | - | - | 4% | 17% | 41% | 37% |
5 | PAN Ethan | - | - | 2% | 11% | 31% | 40% | 16% |
6 | TANG Royce | - | - | - | 2% | 14% | 44% | 40% |
7 | JAZWINSKI Ryan | - | - | 1% | 8% | 27% | 42% | 22% |
8 | LIU Aaron | - | - | 1% | 8% | 27% | 41% | 23% |
9 | GE Felix Fei | - | - | 1% | 4% | 18% | 41% | 36% |
10 | GRIGORIEV Michael | - | - | - | 2% | 13% | 39% | 46% |
11 | LIM EUNSEONG | - | - | - | 6% | 35% | 58% | 1% |
12 | WANG Caleb | - | 3% | 13% | 29% | 33% | 18% | 4% |
13 | WU Wallace | - | - | - | - | 5% | 31% | 64% |
14 | CAO Joshua | - | - | 2% | 10% | 30% | 39% | 19% |
15 | LIU Alex | - | - | 1% | 6% | 29% | 46% | 18% |
16 | REN Ryan | - | 4% | 16% | 32% | 31% | 14% | 2% |
17 | YANG Steve | - | - | 4% | 17% | 35% | 33% | 10% |
18 | KIM Daniel | - | 1% | 5% | 21% | 39% | 30% | 5% |
19 | FAN Ze Lin | - | - | 2% | 13% | 41% | 44% | |
20 | XIAN kevin | - | - | - | 1% | 6% | 32% | 61% |
21 | CHANG Parker | - | - | 1% | 7% | 26% | 42% | 23% |
22 | LU Hansen | - | 2% | 9% | 27% | 36% | 22% | 4% |
23 | LIN Wilson | - | 4% | 16% | 32% | 32% | 14% | 2% |
24 | SHOU Raymond | - | - | 6% | 32% | 48% | 13% | - |
25 | NOVIKOV Yann | - | - | 4% | 19% | 39% | 32% | 5% |
26 | HU Michael | 1% | 9% | 25% | 33% | 23% | 8% | 1% |
27 | YANG Luca | - | 4% | 18% | 35% | 30% | 11% | 1% |
28 | CZARNECKI Thomas | - | - | 1% | 11% | 42% | 46% | |
29 | DANTON Ryan | 1% | 10% | 39% | 36% | 12% | 1% | |
30 | QIAN Will | - | 2% | 12% | 32% | 35% | 16% | 3% |
31 | HUANG Jinyao | - | - | 3% | 19% | 47% | 29% | 2% |
32 | XIE Jayden | - | 3% | 23% | 43% | 26% | 5% | |
33 | GUGALA Frank | 1% | 6% | 21% | 35% | 27% | 9% | 1% |
34 | SIU Max | - | - | 1% | 9% | 29% | 41% | 19% |
35 | ULYSSE Jacob | - | 2% | 12% | 30% | 35% | 18% | 3% |
36 | ZHAI Alex | - | - | 2% | 12% | 32% | 38% | 16% |
37 | ALVAREZ Francisco Janusz | - | 1% | 8% | 24% | 37% | 25% | 5% |
38 | LU Brandon | - | 1% | 6% | 24% | 38% | 25% | 6% |
39 | JIN Xueyuan George | - | 1% | 6% | 28% | 47% | 18% | |
40 | MAZAHERI Theodore | 1% | 9% | 32% | 41% | 16% | 2% | |
41 | SLAIN Owen | - | 1% | 10% | 32% | 43% | 14% | |
42 | CHOI Hunter | - | 2% | 13% | 34% | 36% | 14% | 1% |
43 | HE Ian | - | - | 3% | 15% | 34% | 34% | 12% |
44 | ZHANG Ethan | - | 1% | 7% | 20% | 34% | 29% | 10% |
45 | ZHUANG Disheng (Eddie) | - | - | 1% | 12% | 41% | 41% | 5% |
46 | LIU Yilin | 3% | 17% | 32% | 30% | 14% | 3% | - |
47 | ZHAO David | 1% | 10% | 27% | 35% | 21% | 6% | 1% |
48 | XIANG Wangzhi | 1% | 10% | 30% | 36% | 19% | 4% | - |
49 | SONG Enoch | - | 5% | 18% | 32% | 30% | 13% | 2% |
50 | HUYNH Matthew | - | - | 1% | 6% | 23% | 42% | 28% |
51 | MADDES Gage | 4% | 19% | 35% | 29% | 11% | 2% | - |
52 | QU Zhida (richard) | - | - | 6% | 27% | 45% | 22% | |
53 | KUBBA Krish | 4% | 22% | 40% | 27% | 7% | 1% | |
54 | WANG Mendy | - | - | 3% | 13% | 33% | 38% | 13% |
55 | HUANG Dalynn | - | 2% | 10% | 29% | 36% | 19% | 4% |
56 | TAN Charlie | - | - | - | 3% | 15% | 41% | 41% |
57 | KIAYIAS Anthony | 1% | 9% | 27% | 36% | 21% | 5% | - |
58 | MAZAHERI John | 2% | 13% | 29% | 32% | 18% | 5% | - |
59 | JORGE Elijah | - | 1% | 6% | 20% | 36% | 29% | 8% |
60 | AMR HOSSNY Adam | 2% | 16% | 34% | 31% | 14% | 3% | - |
61 | HUA Isaac | 5% | 24% | 36% | 25% | 8% | 1% | - |
62 | PARK Joshua | 1% | 6% | 21% | 35% | 27% | 10% | 1% |
63 | WILSON Jacob | 3% | 19% | 35% | 28% | 11% | 2% | - |
64 | YU Oliver | 1% | 6% | 19% | 32% | 28% | 13% | 2% |
65 | HUYNH Kaleb | 3% | 17% | 34% | 30% | 13% | 3% | - |
66 | JIN Xuechong Daniel | - | - | 3% | 17% | 37% | 33% | 10% |
67 | ZHENG Lerui | - | - | 4% | 21% | 43% | 27% | 5% |
68 | KIAYIAS Alexander | 1% | 6% | 20% | 33% | 27% | 10% | 1% |
69 | CHONG Cooper | 12% | 33% | 34% | 17% | 4% | - | - |
70 | PACK Lindsey | 7% | 24% | 34% | 24% | 9% | 2% | - |
71 | SINGH Jai Anand | 5% | 22% | 36% | 27% | 9% | 1% | - |
71 | JIAO Daniel | 2% | 15% | 32% | 32% | 15% | 3% | - |
73 | SHEN Lucas | 2% | 19% | 48% | 27% | 4% | - | - |
74 | WANG William | 7% | 26% | 35% | 23% | 8% | 1% | - |
75 | WANG Freyr | 1% | 9% | 33% | 41% | 15% | 2% | - |
76 | CONVERSO-PARSONS Alexander | 2% | 13% | 36% | 36% | 12% | 2% | - |
77 | MACK Julian | 27% | 51% | 19% | 2% | - | - | - |
78 | LIN Ziyue | - | 4% | 24% | 46% | 23% | 3% | - |
79 | CHAU Ivan | 2% | 11% | 29% | 34% | 19% | 5% | - |
80 | CHAO ABU MINGZE | 1% | 6% | 21% | 35% | 28% | 9% | 1% |
81 | CHUNG Royce | 18% | 38% | 31% | 11% | 2% | - | - |
81 | XIE Raymond | - | 3% | 12% | 28% | 34% | 19% | 4% |
83 | LI Yunze | 9% | 28% | 34% | 21% | 7% | 1% | - |
84 | CHEN Ethan | 1% | 11% | 33% | 38% | 16% | 2% | |
85 | GENG Vincent | 4% | 28% | 42% | 21% | 4% | - | |
86 | MOON Nolan | 2% | 17% | 39% | 31% | 9% | 1% | - |
87 | WU Gengze (Daniel) | - | 3% | 13% | 28% | 33% | 19% | 4% |
88 | LIN Oliver Ju-En | 33% | 41% | 20% | 5% | 1% | - | - |
89 | PAN Howard Haoran | - | 1% | 8% | 25% | 37% | 24% | 5% |
90 | WILLIAMS Thomas | 7% | 28% | 37% | 21% | 5% | 1% | - |
91 | DUROCHER Greyson | 8% | 29% | 37% | 20% | 5% | 1% | - |
92 | REYNOLDS CHANG Luke | 5% | 31% | 42% | 19% | 3% | - | - |
93 | QIAN Henry | - | 2% | 9% | 27% | 37% | 21% | 4% |
93 | FANG Lionel | 6% | 24% | 36% | 25% | 8% | 1% | - |
93 | BELL Asher | 19% | 38% | 30% | 11% | 2% | - | - |
96 | XUAN nathan | 48% | 39% | 11% | 1% | - | - | - |
97 | BOSNJAK Parker | 25% | 41% | 25% | 7% | 1% | - | - |
98 | WANG Jaaziel | 6% | 24% | 36% | 25% | 8% | 1% | - |
99 | CAINE Liam | 6% | 33% | 42% | 17% | 2% | - | - |
100 | KUTATELADZE Danieli | 15% | 41% | 32% | 10% | 1% | - | - |
101 | LIU Mason | 2% | 16% | 34% | 31% | 14% | 3% | - |
101 | HOO Bezalel | 8% | 30% | 36% | 20% | 6% | 1% | - |
103 | KOSCIK-AQUINO Nicholas | 17% | 39% | 31% | 11% | 2% | - | - |
104 | LI Andrew | 7% | 25% | 34% | 24% | 9% | 1% | - |
105 | GRIFFIN Andrew | 4% | 31% | 42% | 19% | 3% | - | |
106 | DALAL Amitav | 13% | 39% | 35% | 12% | 2% | - | |
107 | SUN Andrew | 46% | 44% | 9% | 1% | - | - | |
108 | WU Alexander | - | < 1% | - | - | - | 2% | 98% |
109 | HUANG Anthony | 5% | 25% | 40% | 23% | 6% | 1% | - |
110 | XU Kaden | 12% | 33% | 34% | 17% | 4% | - | - |
111 | MORALES Tycho | 6% | 24% | 36% | 25% | 8% | 1% | - |
112 | XU ETHAN | 6% | 24% | 35% | 25% | 8% | 1% | - |
112 | HUDSON Jedidiah | 5% | 24% | 38% | 25% | 7% | 1% | - |
114 | ROBERTSON Liam | 38% | 41% | 17% | 4% | - | - | - |
115 | CHANG Joshua | 22% | 45% | 26% | 6% | - | - | - |
116 | YU Ethan | 2% | 12% | 31% | 35% | 18% | 4% | - |
116 | BYERS Kaih | - | 1% | 7% | 23% | 36% | 26% | 7% |
118 | SAFAI Bardia | 40% | 45% | 14% | 1% | - | - | - |
118 | BUCHNER Roland | 4% | 19% | 34% | 29% | 12% | 2% | - |
120 | BROWN Rhys | 20% | 41% | 29% | 9% | 1% | - | - |
121 | HOFFMAN Zane | 1% | 8% | 28% | 38% | 21% | 4% | - |
122 | FAYVUSOVICH Emmanual | < 1% | 2% | 12% | 30% | 35% | 17% | 2% |
123 | TINGLE Byrd | 5% | 21% | 34% | 27% | 11% | 2% | - |
123 | CHU Joe | 6% | 24% | 36% | 25% | 8% | 1% | - |
125 | DAVE Neil | 36% | 43% | 17% | 3% | - | - | |
126 | HAN Jayden | 15% | 38% | 33% | 12% | 2% | - | - |
126 | LIU Ruofeng | 1% | 10% | 27% | 34% | 21% | 5% | - |
128 | SIN TaeHwan | 29% | 45% | 22% | 4% | - | - | - |
129 | GREENWALD Silas | 2% | 12% | 29% | 33% | 18% | 5% | - |
130 | MURPHY-MIMS Connor | 62% | 32% | 6% | - | - | - | |
131 | DEGRYSE Leopold | 27% | 51% | 19% | 3% | - | - | |
132 | CHEN Kevin | 34% | 44% | 18% | 3% | - | - | - |
133 | WU Brian | 11% | 41% | 35% | 12% | 2% | - | - |
134 | GOLDSTEIN Tate | 34% | 42% | 20% | 4% | - | - | - |
134 | ZHANG Vincent | 56% | 36% | 8% | 1% | - | - | - |
136 | BARNETT Jacob | 2% | 15% | 37% | 33% | 12% | 1% | - |
137 | XU Jonathan | 18% | 37% | 30% | 12% | 3% | - | - |
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.