USA Fencing National Championships & July Challenge

Y-12 Men's Saber

Sunday, July 10, 2022 at 2:00 PM

Minneapolis, MN, USA

Probability density of pool victories

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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 ANTHONY Devyn V. - - - - 5% 31% 64%
2 VAID Luke - - 1% 6% 23% 44% 27%
3 ERMAKOV Semeon - - 3% 13% 32% 37% 16%
3 KANG evan - - - 2% 12% 39% 47%
5 MEHAN Nicholas - - - - 2% 23% 75%
6 JOO Jeein - - 1% 5% 19% 41% 34%
7 MUNGUIA Nathan - - 2% 12% 31% 37% 17%
8 HOLZ Lucas - 1% 5% 19% 34% 30% 10%
9 LIU Kevin - - 2% 12% 30% 38% 17%
10 PATEL Rayn - - 4% 15% 32% 35% 15%
10 KIM Ethan - - 2% 9% 28% 40% 21%
12 PASTORE LIU Vince - - 1% 4% 19% 42% 34%
13 WANG Justin - - 5% 22% 43% 30%
14 HUANG Alex F. - - - - 5% 30% 65%
15 WANG daniel - - 2% 9% 27% 39% 23%
16 CHUNG Connor - 3% 17% 36% 32% 11% 1%
17 KOVALEV Daniil N. - - 1% 11% 43% 46%
18 WANG Zhuoyi - 2% 12% 30% 34% 18% 3%
19 CARRINGTON IV William T. - - 1% 9% 30% 42% 18%
20 FANG Eason - 1% 8% 23% 35% 26% 7%
21 LI Howard - - 3% 13% 31% 36% 17%
22 TSE Aiden J - 2% 11% 31% 38% 18% 2%
23 LEUNG Ian - 1% 7% 26% 40% 23% 4%
24 GONG Gavin 12% 31% 33% 18% 5% 1% -
25 HWANG Jayden - - 2% 10% 29% 39% 20%
26 TANI tino - 1% 5% 18% 35% 31% 10%
27 ALAVE Kyle - - 3% 14% 31% 35% 16%
28 SKARBONKIEWICZ Maksymilian A. - 1% 5% 18% 35% 32% 11%
29 LEE Andrew - 2% 10% 25% 35% 23% 5%
30 ARISTOV Ilya - 3% 15% 31% 32% 15% 3%
31 LI AYDEN - 4% 15% 31% 32% 16% 3%
32 KANG Matthew - 2% 10% 26% 34% 23% 6%
33 YAP Kah Kai (Cayden) - 1% 5% 18% 34% 31% 11%
34 ZHAO Lucas - - 1% 6% 25% 44% 24%
35 NG Jonathan - 3% 13% 29% 33% 19% 4%
36 CLARK Aram - - - 4% 20% 44% 31%
37 MEDVINSKY Daniel - 3% 12% 28% 34% 19% 4%
38 CAO Oliver 1% 6% 20% 33% 28% 11% 2%
39 LIN Philip T. - 1% 5% 19% 35% 31% 10%
40 MEYERSON Jacob 1% 9% 24% 33% 24% 8% 1%
41 BELL III Alfred (Tripp) R. - 2% 14% 35% 36% 12%
42 ANDRES Michael - - 5% 25% 48% 21%
43 HO Anson - 4% 16% 32% 31% 14% 2%
44 SO Preston - 1% 8% 24% 36% 24% 5%
45 KIETLINSKI Samuel - 3% 13% 29% 33% 18% 4%
46 LIN Maxim - - 3% 15% 33% 35% 13%
47 LIU Victor - - 4% 18% 38% 33% 6%
48 NGUYEN Anthony - - 3% 13% 31% 37% 16%
49 CHAMBERS Miles - 1% 6% 22% 40% 28% 4%
49 PINTO Marcus - 4% 18% 35% 31% 11% 1%
51 OH Aster - 2% 10% 27% 36% 22% 4%
52 GUREVICH Benjamin - 2% 9% 23% 34% 25% 7%
53 STURGEON Cole 7% 28% 39% 21% 4% -
54 KIM Kendrick 1% 5% 19% 34% 28% 11% 2%
55 WANG Max - 3% 13% 31% 33% 17% 3%
55 CRAIG Andrew 1% 7% 22% 33% 26% 9% 1%
57 BIVIJI Ali - 2% 11% 31% 37% 17% 1%
58 LI linze 1% 7% 22% 33% 26% 10% 1%
59 CHAN Henry 12% 33% 33% 17% 4% 1% -
60 LI Yidong 8% 28% 35% 21% 6% 1% -
61 ANAND Rishab 1% 7% 22% 33% 26% 10% 1%
62 KWON Kenneth 9% 30% 36% 19% 5% - -
63 WELSTEAD Nicholas 2% 10% 26% 33% 21% 7% 1%
64 KURILO Michael 5% 21% 34% 27% 11% 2% -
65 GAY Jono - 1% 10% 30% 39% 19% 2%
66 LIU Ryan 1% 6% 21% 35% 27% 9% 1%
67 HUA Michael 6% 25% 36% 24% 8% 1% -
68 BONETTI Brayden - - 2% 11% 29% 37% 19%
69 LOO Jason 1% 8% 25% 36% 24% 6% 1%
70 YU BOWEN 1% 9% 24% 33% 24% 8% 1%
71 GREMILLION Obadiah 9% 29% 35% 20% 6% 1% -
71 HWANG Hagan 1% 9% 26% 34% 22% 6% 1%
73 DAWSON-TEECE Powell 4% 18% 32% 29% 14% 3% -
74 VO Maxwell 24% 40% 26% 8% 1% - -
75 ZENG Vito - 3% 13% 29% 33% 18% 4%
76 PARKILA Lukas 3% 16% 33% 31% 14% 3% -
77 NARDINI Nathanael P. - 3% 13% 29% 33% 18% 4%
78 ZHANG Kaixuan 6% 24% 35% 25% 9% 2% -
78 ANUMULA Aryan 3% 16% 34% 32% 14% 2% -
80 MALLETT Shane 5% 21% 35% 27% 10% 2% -
81 DOMINIQUE Remson 1% 6% 21% 33% 27% 10% 1%
82 HU Harry - 3% 14% 31% 33% 17% 3%
83 MCDONALD Finn 2% 11% 29% 35% 19% 4% -
84 ZHANG Ray 8% 26% 34% 22% 8% 1% -
85 SASSI Ilyas 12% 33% 34% 17% 4% - -
86 SANGSTER Arden 3% 21% 38% 28% 8% 1%
87 PAI Ayan 45% 40% 13% 2% - -
88 VENKATRAMAN Sudhir 3% 18% 37% 31% 11% 1%
89 MONTALVO Matthew 13% 37% 35% 13% 2% -
90 YANG Phillip 1% 6% 21% 34% 27% 10% 1%
91 BREUER Daniel 6% 23% 34% 25% 10% 2% -
92 LI Allan 7% 26% 37% 23% 7% 1% -
93 BIVIJI Adam 8% 29% 36% 21% 6% 1% -
94 XUE Leo 2% 24% 42% 25% 6% 1% -
95 ZHOU William 6% 25% 36% 24% 8% 1% -
96 LEE Griffin 2% 11% 27% 33% 20% 6% 1%
97 IYER Neil 14% 35% 32% 15% 4% - -
98 NOVOSYOLOK Zachary - 3% 14% 30% 33% 17% 3%
99 LIU Aaron 2% 14% 34% 33% 14% 2% -
100 TATAR Daniel 3% 15% 31% 31% 16% 4% -
101 LI Philip 17% 37% 31% 12% 3% - -
102 DOSTAL Maximilian 3% 15% 31% 32% 16% 4% -
102 RAJMOHAN Arya 1% 6% 22% 35% 27% 9% 1%
102 ZHANG KAIQI 2% 23% 42% 26% 7% 1% -
105 COGLIANO Max 2% 12% 30% 34% 18% 4% -
106 DEELY Hartigan 2% 12% 28% 33% 20% 6% 1%
107 ONG Dylan 1% 9% 28% 37% 20% 4% -
108 SALMAN Hamzah - 7% 27% 39% 22% 5% -
109 LOU Kaden 5% 22% 35% 26% 9% 2% -
110 SARWAHI Viraat 4% 19% 33% 29% 13% 3% -
111 GOMEZ Emilio 14% 35% 32% 15% 3% - -
111 HAO Johnny 16% 38% 32% 12% 2% - -
113 YU Casey 5% 22% 39% 27% 6% -
114 SRIVATS Vedh 1% 10% 26% 33% 22% 7% 1%
115 BARENBOYM Michael 12% 37% 35% 14% 3% - -
116 KUMAR Avinash 4% 19% 33% 28% 13% 3% -
117 PORTER Dupree 1% 8% 24% 34% 24% 8% 1%
118 XIAO Brayden 1% 9% 26% 35% 22% 6% 1%
119 DAI Zihou - 4% 18% 34% 30% 12% 2%
120 RONG Jasper 7% 27% 37% 22% 6% 1% -
121 GREENSTEIN Viktor 3% 19% 38% 30% 10% 1% -
122 CARD Seamus 19% 37% 29% 12% 2% - -
123 SONG Aidan 29% 42% 23% 6% 1% - -
124 LIEBOWITZ Carson 11% 38% 35% 13% 2% - -
125 EPLETT Nicholas 27% 41% 24% 7% 1% - -
126 CHANG Timothy 2% 14% 31% 32% 17% 4% -
127 PRAJAPATI Devin D. 17% 37% 31% 12% 2% - -
128 PAUL James 4% 17% 31% 29% 15% 4% -
128 CHAWLA Abhishek 36% 43% 17% 3% - - -
128 BAI Evan 3% 18% 35% 30% 12% 2% -
128 HUANG Jason 41% 42% 15% 2% - - -
132 KRUPINSKI Alan 3% 16% 32% 31% 15% 4% -
133 MELUL Jonathan 20% 41% 30% 9% 1% -
134 CHEN Cooper 17% 37% 31% 12% 2% - -
135 HARDRICK Noah 13% 33% 33% 16% 4% 1% -
135 TUNIK Joshuah 17% 37% 30% 12% 3% - -
137 KIM Samuel 2% 12% 29% 32% 19% 5% -
137 KANIA Alexander 9% 30% 36% 19% 5% 1% -
139 TAYCHER Aaron 3% 17% 36% 31% 12% 2%
140 SAYAR Luke 16% 38% 31% 12% 2% - -
140 GERTSBERG Eli 11% 32% 34% 18% 5% 1% -
140 GORDON Samuel 24% 41% 26% 8% 1% - -
140 MARTINSON Torm 25% 40% 26% 8% 1% - -
144 KANG Alan 81% 17% 1% - - - -
145 LIANG Preston 5% 23% 37% 26% 8% 1% -

Explanation

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.