Fort Worth Convention Center - Fort Worth, TX, 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 | NG Jonathan | - | - | - | 2% | 13% | 40% | 45% |
2 | HUANG Alex F. | - | - | - | - | 5% | 32% | 63% |
3 | KANG Evan R. | - | - | - | 2% | 13% | 40% | 44% |
3 | KIM ELIJAH | - | - | - | 2% | 13% | 41% | 44% |
5 | PASTORE LIU Vince | - | - | - | 1% | 11% | 39% | 49% |
6 | SO Preston | - | 1% | 10% | 32% | 41% | 16% | |
7 | HOLZ Lucas | - | 2% | 10% | 29% | 39% | 20% | |
8 | CHAN Henry | 1% | 12% | 36% | 36% | 13% | 2% | |
9 | MEHAN Nicholas | - | - | - | 1% | 8% | 35% | 57% |
10 | WANG Justin | - | - | - | 1% | 7% | 35% | 57% |
11 | GONZALEZ Jake | - | 5% | 23% | 39% | 27% | 5% | |
12 | KOVALEV Daniil N. | - | - | - | 4% | 20% | 49% | 27% |
13 | WANG Daniel | - | - | - | 2% | 15% | 42% | 40% |
14 | CHUNG Connor | - | - | 4% | 20% | 43% | 32% | |
15 | NGO Maximus | - | 5% | 24% | 43% | 24% | 4% | |
16 | BELL III Alfred (Tripp) R. | - | - | 1% | 12% | 40% | 39% | 8% |
17 | ANDRES Michael | - | - | 1% | 9% | 27% | 40% | 23% |
18 | JOO Jeein | - | - | 1% | 5% | 22% | 42% | 30% |
19 | WONG Lucas | - | 2% | 15% | 38% | 35% | 10% | |
20 | KIM Ethan | - | - | 1% | 13% | 43% | 43% | |
21 | VAID Luke | - | - | 1% | 5% | 20% | 41% | 33% |
22 | LIN Philip T. | - | - | 2% | 13% | 34% | 38% | 12% |
23 | LI Ayden | - | - | 3% | 15% | 36% | 37% | 8% |
24 | LI Maxwell | - | 2% | 12% | 29% | 34% | 19% | 4% |
25 | LIU Kevin | - | - | 1% | 6% | 23% | 41% | 29% |
26 | HENDERSON Lucas | 2% | 19% | 38% | 30% | 9% | 1% | |
27 | TSE Aiden J | - | 4% | 20% | 40% | 29% | 7% | |
28 | KIM Kendrick | - | 2% | 13% | 32% | 34% | 16% | 3% |
29 | ANAND Rishab | - | 5% | 21% | 34% | 28% | 11% | 1% |
30 | TANI Tino | - | 1% | 5% | 21% | 38% | 30% | 7% |
31 | LIU Victor | - | 2% | 11% | 29% | 35% | 19% | 4% |
32 | CHAMBERS Miles | - | 1% | 5% | 20% | 37% | 29% | 8% |
33 | CHON Collin | - | - | 2% | 13% | 39% | 45% | |
34 | URSU Marcel T. | - | - | 2% | 13% | 34% | 39% | 12% |
35 | IYER Neil | - | 10% | 32% | 37% | 18% | 4% | - |
36 | SAMMI Mukul | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
37 | ERMAKOV Semeon | - | - | 1% | 9% | 37% | 53% | |
38 | CARRINGTON IV William T. | - | 2% | 15% | 37% | 35% | 10% | |
39 | BIVIJI Ali | 1% | 12% | 33% | 36% | 16% | 2% | |
40 | HWANG Jayden | - | - | - | 2% | 15% | 45% | 38% |
41 | GUREVICH Benjamin | - | 7% | 25% | 35% | 24% | 8% | 1% |
42 | STURGEON Cole | - | 3% | 16% | 33% | 33% | 13% | 2% |
42 | WANG Max | - | 5% | 21% | 37% | 27% | 8% | 1% |
44 | KWON Kenneth | - | 7% | 26% | 38% | 23% | 6% | - |
44 | ZLATINSKI Jason | 2% | 11% | 29% | 35% | 19% | 4% | - |
46 | XU Ivan | 2% | 13% | 32% | 34% | 16% | 3% | - |
47 | LIU Ryan | 2% | 13% | 31% | 33% | 17% | 4% | - |
48 | LIN Maxim | - | - | 3% | 18% | 43% | 35% | |
49 | ZHAO Lucas | - | 1% | 7% | 30% | 45% | 17% | |
50 | KOZLOFF Wyatt | 2% | 14% | 32% | 33% | 15% | 2% | - |
51 | GONG Gavin | 2% | 16% | 38% | 34% | 10% | 1% | - |
52 | BOSITA Brennan | 8% | 29% | 36% | 21% | 6% | 1% | - |
53 | XUE Leo | 2% | 16% | 35% | 31% | 13% | 2% | - |
54 | BONETTI Brayden | - | 1% | 7% | 23% | 36% | 26% | 6% |
55 | SANGSTER Arden | 5% | 24% | 38% | 25% | 8% | 1% | - |
56 | WANG Alex | 1% | 8% | 27% | 38% | 21% | 5% | - |
57 | YANG Phillip | - | - | 3% | 17% | 37% | 34% | 9% |
57 | PEREIRA Beckham | 1% | 8% | 24% | 36% | 25% | 7% | 1% |
59 | CAUTHRON Oliver | 2% | 16% | 37% | 32% | 12% | 2% | - |
60 | MCDONALD Finn | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
61 | MATTOO Deven | 1% | 7% | 25% | 38% | 25% | 5% | |
62 | GREMILLION Obadiah | - | 2% | 14% | 34% | 34% | 14% | 2% |
63 | SASSI Ilyas | 2% | 13% | 30% | 32% | 18% | 4% | - |
64 | YAP Kah Kai (Cayden) | - | 2% | 13% | 34% | 38% | 13% | |
65 | MEYERSON Jacob | - | - | 2% | 16% | 44% | 33% | 5% |
66 | GAY Jono | - | - | 3% | 15% | 37% | 36% | 9% |
67 | SADHU Neiyam | 4% | 20% | 36% | 29% | 10% | 1% | |
68 | CAO Oliver | 2% | 11% | 29% | 34% | 19% | 4% | - |
69 | LEE Andrew | - | 2% | 13% | 31% | 34% | 16% | 3% |
70 | PORTER Dupree | - | 5% | 19% | 36% | 30% | 9% | 1% |
71 | FANG Eason | 1% | 12% | 32% | 36% | 16% | 2% | |
72 | WAXLER Ryan | - | 1% | 12% | 35% | 38% | 13% | |
73 | NARDINI Nathanael P. | - | - | 5% | 23% | 44% | 28% | |
74 | LOO Jason | 2% | 12% | 30% | 34% | 19% | 4% | |
75 | TURNER Benjamin | 19% | 39% | 30% | 11% | 2% | - | |
76 | SHA Walter | 3% | 19% | 41% | 29% | 8% | 1% | |
77 | WANG Zhuoyi | - | - | 4% | 22% | 44% | 30% | |
78 | AO Christopher | 1% | 9% | 28% | 36% | 20% | 5% | - |
79 | VUONG Kyle Ka-Him | - | 5% | 19% | 36% | 30% | 10% | 1% |
80 | NAMBIAR Navin | 3% | 16% | 34% | 32% | 13% | 2% | - |
81 | LIU Aaron | - | 1% | 9% | 28% | 39% | 20% | 3% |
82 | ZHAO Royce | - | 2% | 13% | 31% | 35% | 17% | 2% |
83 | MEDVINSKY Daniel | - | 3% | 15% | 32% | 32% | 15% | 3% |
84 | SUN Andrew | 1% | 8% | 27% | 36% | 22% | 6% | - |
85 | CHEN Kevin | - | 2% | 10% | 28% | 36% | 20% | 3% |
86 | KITSON Chase | 4% | 21% | 40% | 27% | 7% | 1% | |
87 | ZHANG Kaixuan | 1% | 9% | 26% | 36% | 23% | 5% | |
88 | MINASIAN Mason | 11% | 43% | 34% | 11% | 1% | - | |
89 | KETT Richard | 15% | 36% | 32% | 14% | 3% | - | |
90 | BRIMMER Robert (Trey) | 2% | 15% | 35% | 34% | 13% | 1% | |
91 | VO Landon | 7% | 31% | 41% | 18% | 3% | - | |
92 | LIU Daniel | 14% | 35% | 33% | 15% | 3% | - | |
93 | WANG Max | - | 6% | 27% | 40% | 22% | 4% | |
94 | DAWSON-TEECE Powell | 3% | 24% | 40% | 26% | 7% | 1% | |
95 | SUNG Julian | 3% | 17% | 33% | 31% | 13% | 2% | - |
96 | KOVACHEV Martin | 2% | 18% | 36% | 30% | 11% | 2% | - |
97 | LEE Brady | 6% | 23% | 35% | 25% | 9% | 2% | - |
98 | CHA James | 5% | 24% | 37% | 25% | 8% | 1% | - |
99 | WONG David | 10% | 32% | 36% | 18% | 4% | - | - |
100 | FENG Brendan | 5% | 26% | 38% | 24% | 7% | 1% | - |
101 | MORGAN Abrahm H. | 1% | 11% | 30% | 34% | 18% | 5% | - |
102 | ZHU Matthew | 13% | 38% | 35% | 12% | 1% | - | - |
103 | BARENBOYM Michael | 6% | 25% | 36% | 24% | 7% | 1% | - |
104 | KURILO Michael | 7% | 30% | 38% | 20% | 5% | 1% | - |
105 | ONG Dylan | 4% | 19% | 36% | 30% | 11% | 1% | |
106 | COGLIANO Max | 26% | 45% | 24% | 5% | - | - | |
107 | BREUER Daniel | 19% | 43% | 29% | 8% | 1% | - | |
108 | SMITH William | 34% | 45% | 18% | 3% | - | - | |
109 | DAI Zihou | 2% | 11% | 30% | 35% | 19% | 4% | |
110 | RINALDI Savio | 23% | 43% | 26% | 7% | 1% | - | |
111 | LIEBOWITZ Carson | 30% | 45% | 21% | 4% | - | - | |
112 | WANG tiger | 24% | 40% | 26% | 8% | 1% | - | - |
113 | GORDON Samuel | 7% | 26% | 36% | 23% | 6% | 1% | - |
114 | MEADE Liam R. | 1% | 11% | 30% | 35% | 18% | 4% | - |
115 | LEMERY Marc | 22% | 40% | 27% | 9% | 1% | - | - |
116 | WANG Tiger | - | 5% | 19% | 34% | 29% | 12% | 2% |
117 | GRABOWSKI Alexander | 11% | 32% | 35% | 18% | 4% | - | - |
118 | OH Aster | - | 2% | 14% | 31% | 33% | 17% | 3% |
118 | EPLETT Nicholas | 14% | 36% | 33% | 14% | 3% | - | - |
118 | BOLLU Viren | 3% | 23% | 42% | 26% | 5% | - | - |
121 | JI Johnson | 14% | 35% | 33% | 15% | 3% | - | - |
122 | FIROOZI Sam | 44% | 41% | 13% | 2% | - | - | - |
123 | CHI Everett | 8% | 29% | 37% | 21% | 5% | - | |
124 | HUANG Caleb | 22% | 44% | 27% | 6% | - | - | |
125 | ROH Jaden | 60% | 33% | 7% | 1% | - | - | |
126 | SIDDAMSHETTY Ishaan | 39% | 41% | 16% | 3% | - | - | - |
127 | XIA Matthew | 18% | 38% | 31% | 12% | 2% | - | - |
128 | JOUFFLINEAU Yohann | 19% | 41% | 30% | 9% | 1% | - | |
129 | REILLEY Brogan | 80% | 18% | 2% | - | - | - | - |
130 | GU Kevin | 35% | 42% | 19% | 4% | - | - | - |
131 | SAYAR Luke | 1% | 25% | 40% | 25% | 7% | 1% | - |
131 | KEMP Austin | 36% | 44% | 17% | 3% | - | - | - |
133 | LIU Guanyu | 58% | 35% | 7% | 1% | - | - | |
134 | GRABOWSKI Stanley | 11% | 39% | 35% | 13% | 2% | - | - |
135 | SENTHIL Gatik | 86% | 13% | 1% | - | - | - | - |
136 | WANG Brian | 24% | 48% | 24% | 4% | - | - | |
137 | NGUYEN Dylan | 27% | 42% | 24% | 6% | 1% | - | - |
138 | SANTIAGO Roman | 38% | 42% | 17% | 3% | - | - | - |
139 | DIXON Allan | 61% | 32% | 6% | 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.