USA Fencing National Championships & July Challenge

Div I-A Men's Saber

Sunday, July 3, 2022 at 8:00 AM

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 KOTOV Leonid 1% 5% 18% 32% 29% 13% 2%
2 WU Roger (Mengke) - - 5% 21% 43% 31%
3 HOUTZ Jackson - 3% 14% 33% 35% 14%
3 LIU kelly - - 3% 14% 32% 35% 15%
5 GREENBAUM Maxwell H. - - 1% 6% 21% 41% 31%
6 BERGER Oliver - 1% 8% 23% 34% 25% 7%
7 YANG Ziyi - 1% 4% 15% 32% 34% 15%
8 ESCUETA Tony V. - 3% 14% 32% 35% 15%
9 MICHELL Bailey - 2% 10% 29% 39% 20%
10 BABAYEV Gabriel A. - 1% 6% 20% 34% 29% 9%
11 SHAHZAD Azlan A. 7% 26% 36% 23% 7% 1%
12 CHEONG Heonjae 4% 19% 34% 29% 12% 2%
13 YEN Preston - 4% 16% 34% 33% 12%
14 KIM-COGAN Ryan - 3% 13% 28% 32% 19% 5%
15 MARGULIES William - 3% 14% 29% 32% 17% 4%
16 PAN Alex 12% 34% 34% 16% 4% -
17 REYES Xavier M. - 1% 8% 24% 34% 25% 7%
18 WOODWARD Dylan P. 1% 5% 19% 32% 28% 13% 2%
19 WANG Eric Y. - 3% 15% 33% 34% 14%
20 HONG Vincent Q. - 1% 7% 24% 41% 27%
21 LINDHOLM Oliver S. 2% 11% 30% 35% 19% 4%
22 LUO George F. - 2% 14% 34% 37% 14%
22 NOBLE Colin - 4% 17% 34% 32% 12%
24 PIWOWAR Alex 13% 33% 33% 16% 4% 1% -
25 WOODWARD Connor - 3% 12% 27% 33% 20% 5%
25 VOCHOSKA Aidan F. - 1% 7% 21% 34% 28% 9%
27 GUAN Luke 1% 10% 28% 33% 20% 6% 1%
28 RIGHTLER Samuel 4% 17% 33% 30% 14% 2%
29 FENG Leo - 1% 8% 24% 35% 25% 7%
30 KROON Lucas 6% 24% 36% 25% 8% 1%
31 CHOI Silas 1% 8% 24% 35% 25% 7%
32 PANDEY Neil 4% 17% 32% 29% 14% 3% -
33 WONG Ryan 1% 7% 25% 37% 25% 5%
34 XU Andrew 1% 6% 20% 32% 28% 12% 2%
35 SCHERER Max 1% 10% 25% 33% 22% 7% 1%
36 CHANG Colin S. 1% 7% 21% 33% 27% 10% 1%
37 YUN Jake - 5% 18% 34% 31% 11%
38 HONG Steven 4% 18% 33% 30% 13% 2%
39 COLE Alexander 1% 11% 31% 36% 18% 3%
40 FLOT Tai A. - 4% 16% 31% 31% 15% 3%
41 EDELMAN Seth A. 7% 24% 34% 24% 9% 2% -
42 POPE Nico - 1% 8% 27% 41% 23%
43 MICLAUS Justin 1% 10% 28% 36% 21% 5%
44 FALLICK Ozzie - 1% 8% 30% 45% 17%
45 PI Alexander 12% 33% 34% 17% 4% -
45 LIU Mingyang Ryan 8% 27% 35% 22% 7% 1%
47 CAISSE Simon B. 4% 22% 39% 27% 7% 1%
48 SHOMAN Noah 1% 8% 25% 36% 24% 6%
48 LEITH Jack 7% 33% 39% 18% 3% -
50 SHOMAN Zachary 1% 8% 25% 36% 24% 6%
51 EICHHORN Lukas H. 2% 11% 28% 35% 20% 4%
52 BAUER Hank E. 2% 13% 29% 31% 18% 5% 1%
53 MURZYN III CJ 2% 13% 29% 31% 18% 5% 1%
54 PRIMUS Nazir 5% 22% 35% 27% 10% 1%
55 ZHOU Miles 3% 17% 35% 31% 13% 2%
56 CHEN Evan P. 1% 9% 26% 35% 23% 6%
57 MEDVEDEV Michail D. 18% 38% 30% 12% 2% -
58 DOLAN Charles R. 3% 19% 36% 30% 11% 1%
59 FREYRE DE ANDRADE Elian R. - 3% 14% 30% 32% 17% 4%
60 DENG Andrew - 2% 10% 24% 34% 24% 7%
61 LOPEZ Lucas M. 16% 36% 31% 14% 3% - -
61 SINGH Angadh 7% 24% 34% 24% 9% 2% -
63 CORTEZ Christopher 4% 19% 33% 29% 13% 3% -
64 PATIL Aaryan A. 1% 12% 31% 35% 17% 3%
65 COVINGTON Max G. - 3% 13% 28% 32% 18% 4%
66 KIM Alexander M. 1% 6% 20% 33% 28% 11% 2%
67 CHAUDHURI Eeshaan A. 3% 15% 31% 31% 16% 4% -
68 MORALES Jonathan 10% 29% 34% 20% 6% 1% -
69 RHEE Ethan N. 2% 15% 34% 33% 14% 2%
70 ZHU Charlie 4% 21% 37% 28% 8% 1%
71 GLOZMAN Justin 13% 34% 33% 16% 4% -
72 HONG Rubin 5% 22% 35% 26% 9% 1%
73 CHAVES Matthew J. 4% 20% 35% 28% 11% 2%
74 BULL Anderson 2% 13% 30% 33% 18% 4%
75 BEITEL Noah 6% 25% 36% 24% 8% 1%
76 DELARUE NELSON Y. 4% 20% 34% 29% 12% 2%
77 HOLMES Aiden G. - 3% 13% 29% 33% 18% 3%
78 CHEONG Heonjun 1% 7% 22% 33% 26% 10% 1%
79 SCHARDINE James 2% 13% 31% 32% 17% 5% -
80 RAMANAN Jaisimh 29% 41% 23% 6% 1% -
81 SHANKAR Karthik 38% 41% 17% 3% - -
82 HAN Daniel Y. 1% 11% 29% 35% 20% 4%
83 GOLDIN Lucca 18% 40% 30% 10% 1% -
83 KIM Matthew 9% 28% 35% 21% 6% 1%
85 CHAN Aidan 22% 41% 28% 8% 1% -
86 MCCARTHY Gabriel 1% 7% 23% 36% 26% 7%
87 SOUTHWORTH Nathaniel 12% 31% 33% 18% 5% 1% -
88 LIN Nick 1% 5% 18% 31% 29% 14% 3%
89 FIELDS Matthew S. 9% 29% 34% 20% 6% 1% -
90 HUANG Zekai 9% 28% 35% 21% 7% 1% -
91 REN Richard 6% 22% 34% 26% 10% 2% -
92 SHANAHAN Adam E. 1% 8% 24% 36% 25% 7%
93 GRATHWOL-SEAR Oliver 14% 35% 33% 14% 3% -
94 SHETTY VIVAN 22% 41% 28% 9% 1% -
95 AN Damon 12% 32% 33% 17% 5% 1% -
96 WILKINSON James 53% 36% 10% 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.