Minneapolis, MN, 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 | NICOLETTI Luca | - | - | 1% | 12% | 43% | 44% | |
2 | SOTO-ULEV Aden A. | - | - | 1% | 11% | 41% | 47% | |
3 | LIU Derek | - | - | - | 2% | 15% | 47% | 36% |
3 | LI Aaron | - | - | 4% | 21% | 43% | 32% | |
5 | KIAYIAS Aris | - | - | 2% | 10% | 29% | 39% | 20% |
6 | FUKUDA Diego | - | - | 1% | 7% | 24% | 41% | 27% |
7 | MORROW Brenden | - | - | - | 3% | 18% | 44% | 35% |
8 | LEE Brendan | - | - | 1% | 8% | 26% | 40% | 24% |
9 | XU Andy P. | - | - | - | 4% | 17% | 40% | 39% |
10 | QIAN Jason H. | - | - | - | 1% | 8% | 35% | 56% |
11 | MAO Lucas | - | - | 1% | 7% | 26% | 43% | 22% |
11 | LI Bradley | - | - | - | 3% | 18% | 48% | 31% |
11 | CHOI Ethan | - | - | - | 3% | 16% | 41% | 40% |
14 | YI William | - | 1% | 8% | 31% | 44% | 16% | |
15 | LO Preston | - | - | 1% | 4% | 19% | 41% | 34% |
16 | TANG Alexander L. | - | 1% | 6% | 28% | 47% | 18% | |
17 | TANG Terry | - | - | - | 3% | 22% | 52% | 22% |
18 | WONG Jackson | - | - | - | 1% | 10% | 39% | 50% |
19 | ZHANG Aaron | - | - | - | 2% | 14% | 43% | 42% |
20 | PARK Rion | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
21 | WU Alber Y. | - | - | 2% | 10% | 29% | 40% | 20% |
22 | DERRICK Blake | - | 2% | 11% | 33% | 41% | 14% | |
23 | YAO Bradley | - | - | - | 3% | 18% | 47% | 32% |
24 | LIU Ethan | - | - | - | 4% | 22% | 44% | 30% |
25 | LING Eddie | - | - | - | 1% | 8% | 40% | 51% |
25 | GUTH Joseph | - | 1% | 7% | 22% | 36% | 27% | 7% |
27 | PALMA Nathan Anthony | - | 1% | 9% | 29% | 38% | 19% | 3% |
28 | PARRISH Evan | - | 5% | 18% | 33% | 29% | 13% | 2% |
29 | TAN Aidan | - | - | 1% | 8% | 31% | 44% | 16% |
30 | CHENG Logan | - | 1% | 9% | 29% | 39% | 19% | 2% |
31 | NGAI Julian | - | 2% | 11% | 28% | 35% | 20% | 4% |
32 | SHEVCHENKO Kostiantyn | - | - | 1% | 10% | 31% | 42% | 16% |
33 | SIMONOV Timofey | - | - | 1% | 9% | 32% | 41% | 16% |
34 | FEDELI Francesco | - | - | - | 1% | 10% | 38% | 51% |
35 | CORTRIGHT Skipper | - | - | - | 3% | 18% | 48% | 31% |
36 | NGUYEN Martin | - | - | 1% | 5% | 22% | 43% | 30% |
37 | LI Allen | - | 4% | 17% | 33% | 31% | 13% | 2% |
38 | CHEN Kyle P. | - | - | 2% | 11% | 29% | 38% | 20% |
39 | ZHAO Nathan | - | - | 2% | 13% | 33% | 38% | 14% |
40 | ALLEN Henry G. | - | - | 1% | 5% | 22% | 44% | 28% |
41 | YANG Charles | - | 2% | 11% | 29% | 36% | 20% | 3% |
42 | LEE Christopher T. | - | - | 2% | 15% | 43% | 40% | |
43 | SENIC Lucas | - | 5% | 18% | 35% | 32% | 11% | |
44 | CHENG Ethan | - | 1% | 7% | 26% | 42% | 24% | |
45 | SHENG Dalton | - | 3% | 16% | 36% | 35% | 11% | |
46 | GHEDINI Luca | - | - | 5% | 29% | 47% | 18% | |
47 | RAJ Jay | - | 2% | 11% | 32% | 39% | 16% | |
48 | ZHAO Adam | - | 1% | 7% | 23% | 36% | 26% | 7% |
49 | RASMUSSEN Sage | - | - | 3% | 15% | 34% | 35% | 13% |
50 | GRIFFITH MCALLISTER Thomas | - | 3% | 16% | 34% | 33% | 13% | 1% |
50 | DESERANNO Leander | - | 1% | 8% | 25% | 37% | 24% | 5% |
52 | MASSIMINO Andrew | - | 2% | 14% | 36% | 35% | 11% | 1% |
53 | CHOI Benjamin | - | 3% | 12% | 28% | 34% | 19% | 4% |
54 | KUNTSEVICH Ivan I. | - | 4% | 17% | 32% | 30% | 13% | 2% |
55 | ZHANG Graham | 2% | 13% | 30% | 33% | 17% | 4% | - |
56 | LU Nathan | 3% | 25% | 41% | 24% | 6% | 1% | - |
57 | HOU Gaven | - | - | 5% | 20% | 41% | 29% | 5% |
58 | RUIZ ALMEIDA Muhammad | - | - | 2% | 13% | 42% | 43% | |
59 | GULCHIN Mark (Yerma) | - | 4% | 17% | 34% | 32% | 12% | |
59 | BIELER Mason | 1% | 13% | 35% | 34% | 14% | 2% | |
61 | VADEN Oliver | - | 2% | 17% | 45% | 31% | 6% | |
62 | ROZALSKI Eli | 2% | 11% | 29% | 35% | 20% | 4% | |
63 | LIU ERIC | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
64 | CHUN Dashel | 7% | 27% | 37% | 22% | 6% | 1% | - |
65 | LEE Charles T | 1% | 12% | 31% | 34% | 18% | 4% | - |
66 | PARK David | 8% | 26% | 35% | 23% | 8% | 1% | - |
67 | TSAY Jordan R. | - | - | 3% | 16% | 38% | 34% | 8% |
67 | PARK Steve (Sangmin) | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
69 | WONG Jacob W. | - | 2% | 11% | 33% | 40% | 13% | 1% |
69 | SHAW eric | 10% | 32% | 36% | 18% | 4% | - | - |
71 | TWEMLOW Sacha | 1% | 6% | 20% | 33% | 28% | 11% | 2% |
72 | CHO Xzander | - | 4% | 19% | 36% | 29% | 10% | 1% |
73 | CHANG Eric Jonathan | - | 3% | 22% | 41% | 26% | 6% | 1% |
74 | TULYAG Azim | - | 3% | 17% | 40% | 31% | 9% | 1% |
75 | LE Jacob H. | - | 2% | 13% | 33% | 38% | 13% | 1% |
76 | KAWADA Sebastien | 1% | 8% | 28% | 40% | 20% | 3% | |
77 | CHUANG Oscar | 7% | 26% | 36% | 23% | 7% | 1% | |
78 | PAN Edwin | 14% | 39% | 33% | 12% | 2% | - | |
79 | CHANG Jeremy | 2% | 13% | 34% | 36% | 14% | 2% | |
80 | CHANG Jonathan | 3% | 20% | 40% | 30% | 7% | 1% | |
81 | DANIEL Nikith | 15% | 41% | 32% | 10% | 1% | - | |
82 | LU Kevin | - | 1% | 7% | 29% | 41% | 20% | 3% |
83 | SUAREZ Adrian | - | - | 4% | 21% | 40% | 28% | 6% |
84 | GERRISH William | - | - | 4% | 17% | 37% | 33% | 8% |
85 | KIM Daniel Y. | - | 1% | 7% | 26% | 39% | 24% | 4% |
86 | XIE Jicheng | - | 5% | 24% | 40% | 25% | 5% | - |
87 | LOZANO Veyron Jericho | 4% | 23% | 37% | 26% | 9% | 1% | - |
87 | ZHOU Ryan | 2% | 14% | 31% | 33% | 17% | 4% | - |
89 | DOELL Ethan | - | 4% | 15% | 30% | 32% | 17% | 3% |
89 | WONG Evan | 1% | 5% | 19% | 33% | 29% | 12% | 2% |
91 | UHLIG Cole | 1% | 11% | 29% | 34% | 19% | 5% | - |
91 | LI Richard | 9% | 28% | 34% | 21% | 7% | 1% | - |
91 | LING Carson Jr | 1% | 10% | 31% | 37% | 18% | 3% | - |
94 | ZHANG Jacob | 21% | 39% | 28% | 10% | 2% | - | - |
95 | DHOKTE Neev | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
96 | FUKUDA Brando | 3% | 17% | 37% | 31% | 11% | 2% | - |
97 | WANG Ancen | 3% | 19% | 37% | 30% | 9% | 1% | - |
98 | DENG David | 4% | 19% | 34% | 29% | 12% | 2% | - |
99 | CHEN Ethan | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
100 | WU Thomas | 9% | 31% | 37% | 19% | 4% | - | - |
101 | ZENG Rick | - | 3% | 13% | 29% | 33% | 18% | 3% |
102 | SHEN Oliver | 1% | 10% | 30% | 37% | 19% | 3% | |
103 | MO Ethan | 1% | 9% | 31% | 38% | 18% | 3% | |
103 | CHEN Hanson | 3% | 21% | 40% | 29% | 7% | - | |
105 | CHEN Matthew | 12% | 41% | 37% | 9% | 1% | - | |
106 | XU Nathan | 15% | 40% | 33% | 11% | 1% | - | |
107 | TOOMRE Kai | - | 3% | 14% | 33% | 34% | 14% | 2% |
108 | PARK William | 4% | 20% | 34% | 28% | 11% | 2% | - |
109 | DULAI Angad | 1% | 8% | 26% | 36% | 22% | 6% | - |
110 | WINGLER Cole | 5% | 27% | 39% | 22% | 6% | 1% | - |
111 | YU William | 19% | 39% | 30% | 10% | 2% | - | - |
112 | PETROV Mikhail | 14% | 36% | 33% | 14% | 3% | - | - |
113 | GORDON William L. | 15% | 36% | 32% | 14% | 3% | - | - |
114 | ZHANG Lucas | 3% | 17% | 33% | 30% | 13% | 3% | - |
115 | JOHNSON Soren | 5% | 22% | 35% | 27% | 10% | 2% | - |
116 | HOWLAND Jonas | 12% | 34% | 34% | 16% | 3% | - | - |
117 | KOE Beckett | 2% | 14% | 30% | 32% | 17% | 4% | - |
118 | HUANG Jinyao | 5% | 23% | 38% | 27% | 8% | 1% | - |
119 | HE Ian | 18% | 51% | 26% | 5% | - | - | - |
120 | RODRIGUEZ Tyler | 5% | 21% | 35% | 28% | 10% | 1% | |
121 | WANDJI Noah | 2% | 15% | 36% | 33% | 12% | 2% | |
122 | JIN Andy | 16% | 36% | 32% | 13% | 3% | - | |
123 | ONG Nicholas | 8% | 33% | 39% | 17% | 3% | - | |
124 | ALKADI Zain | 6% | 27% | 39% | 22% | 5% | - | |
125 | SUAREZ David | 3% | 15% | 31% | 31% | 16% | 4% | - |
126 | ELKOUSY Zain al Din | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
127 | LAO Kevin | 3% | 14% | 30% | 31% | 17% | 5% | - |
128 | LEE Jayden | 10% | 29% | 34% | 20% | 6% | 1% | - |
129 | KIM Seoheul | 19% | 40% | 30% | 9% | 1% | - | - |
130 | UPENDER West | 13% | 40% | 34% | 11% | 1% | - | - |
131 | YU ShiLin (Harry) | 8% | 29% | 37% | 21% | 5% | 1% | - |
132 | CHEN David | 34% | 44% | 19% | 3% | - | - | |
133 | HE Bourne | 33% | 43% | 20% | 4% | - | - | |
134 | SUNDSTROM Wren | 41% | 43% | 14% | 2% | - | - | |
135 | HOM Logan | 58% | 35% | 7% | 1% | - | - | |
136 | QIAN Zekai | 14% | 37% | 33% | 13% | 3% | - | - |
137 | ZHONG Maxwell | 44% | 42% | 13% | 1% | - | - | - |
138 | NI Kevin | 20% | 40% | 29% | 9% | 1% | - | - |
139 | WANG Rory | 18% | 37% | 30% | 12% | 2% | - | - |
139 | MARTIRE Luca | 30% | 41% | 22% | 6% | 1% | - | - |
141 | BLACK Henry | 13% | 36% | 35% | 14% | 2% | - | - |
141 | PLUMMER Waylon | 7% | 27% | 37% | 22% | 7% | 1% | - |
143 | LU Alex | - | 1% | 7% | 23% | 35% | 26% | 7% |
144 | TANG Royce | 1% | 12% | 40% | 34% | 11% | 1% | - |
144 | SHANNON Jack | 8% | 33% | 40% | 16% | 3% | - | - |
144 | WENGER Liam | 4% | 19% | 37% | 30% | 9% | 1% | - |
147 | LIU Robert | 11% | 34% | 36% | 16% | 3% | - | - |
147 | DONOHUE Taylor | - | 5% | 19% | 34% | 29% | 11% | 2% |
149 | ZHAO Ryan | 3% | 21% | 40% | 28% | 8% | 1% | - |
149 | MCCONKEY Tristan | 13% | 35% | 34% | 15% | 3% | - | - |
151 | POPOKH Luca | 40% | 41% | 15% | 3% | - | - | - |
152 | ZHOU Alex | 16% | 40% | 32% | 11% | 2% | - | - |
153 | SICAT Justin | 19% | 40% | 30% | 10% | 2% | - | - |
153 | KOE Declan | 10% | 38% | 38% | 12% | 1% | - | - |
153 | WANG rainier | 9% | 28% | 34% | 21% | 7% | 1% | - |
156 | KUE Temujin | 9% | 33% | 36% | 17% | 4% | - | - |
157 | LIANG Ethan | 61% | 33% | 6% | - | - | - | - |
158 | TACK Everett | 47% | 39% | 12% | 2% | - | - | - |
159 | HICKEY Connor | 5% | 24% | 38% | 25% | 6% | - | - |
160 | CHAN Joseph | 26% | 43% | 24% | 6% | 1% | - | |
161 | RUSSELL Paul | < 1% | 2% | 11% | 29% | 36% | 20% | 4% |
162 | KIM Gene | 6% | 30% | 39% | 20% | 4% | - | |
163 | YAN Rian | 11% | 40% | 39% | 9% | 1% | - | |
164 | HUA Aaron | 3% | 15% | 31% | 31% | 16% | 4% | - |
165 | WEI JR Shan | 13% | 34% | 33% | 16% | 4% | - | - |
165 | SUN Neo | 55% | 38% | 7% | - | - | - | - |
167 | CHEW Brandon | 3% | 19% | 41% | 30% | 8% | 1% | |
168 | O'LEARY Colin | 10% | 31% | 35% | 18% | 5% | 1% | - |
168 | MCMILLIAN Harrison | < 1% | 2% | 15% | 36% | 34% | 12% | 1% |
168 | YU ShiYu (Henry) | 3% | 17% | 33% | 31% | 13% | 2% | - |
171 | ZHANG Hanson | 40% | 42% | 16% | 2% | - | - | |
172 | YUE Jackson | 5% | 22% | 35% | 26% | 10% | 2% | - |
172 | GOGOI Kavi | 6% | 26% | 39% | 23% | 5% | - | - |
174 | BANUELOS Dario | 41% | 42% | 14% | 2% | - | - | - |
175 | SHAW Spencer | 29% | 44% | 22% | 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.