Thrust Fall RYC/RJCC

Cadet Men's Épée

Sunday, October 26, 2025 at 8:00 AM

Rockland Community College (Eugene Levy Field House) - Suffern, NY, 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 LAI Boden - - - - 1% 16% 82%
2 LIU Adam - - - 2% 11% 38% 49%
3 SOLARZ Arthur - 2% 9% 26% 36% 23% 5%
3 DOUBOV Andrew - - - 3% 19% 44% 34%
5 AHMED Mohsen - - 1% 6% 22% 41% 30%
6 NORMILE Nicholas - - - 1% 6% 32% 61%
7 TRAN Spencer - - 2% 15% 45% 39%
8 BAJAJ Nakul - 1% 7% 26% 41% 25%
9 YAMAGUCHI Yuzuki - - 3% 16% 39% 34% 9%
10 KABA Elias - 1% 10% 29% 37% 19% 3%
11 CHEN Jayden - - 2% 9% 28% 40% 21%
12 KATS Brandon - 4% 18% 34% 31% 12% 1%
13 MANSFIELD Hunter - 5% 23% 38% 27% 7% -
14 BRADSHAW Carter - 2% 13% 32% 37% 15%
15 ZHAI Junqi - 4% 17% 34% 31% 12% 1%
16 SAVORETTI Pietro - - < 1% 5% 24% 45% 25%
17 GUMEDELLI Mohnish - - 5% 26% 47% 21%
18 SUN Lucas - 1% 7% 25% 39% 24% 3%
19 PARKER Isaiah - - - 1% 11% 37% 51%
20 CHEN Evan 2% 15% 36% 32% 13% 2% -
21 GAO Victor - - 1% 5% 24% 44% 26%
22 CUELLAR Markus - 3% 16% 34% 34% 13%
23 CRESPO Nathaniel Justus - 2% 10% 30% 39% 19%
24 CHEN Zhengyang (Allen) - - - 1% 10% 37% 52%
25 DURKIN Hudson - - 2% 13% 37% 37% 11%
26 CHEN Cameron 4% 22% 37% 27% 9% 1% -
27 MORI Seneca - 2% 10% 29% 37% 20% 3%
28 NOOL Alexander - 4% 18% 35% 32% 11% 1%
29 PAN Anthony - 5% 19% 35% 31% 10%
30 NILSEN Mark 2% 12% 31% 34% 17% 3%
31 HE Bronto - 3% 14% 32% 34% 16% 2%
32 AGUIRRE Pablo 19% 38% 30% 11% 2% - -
33 CHEN Tianjun - 1% 9% 29% 39% 19% 3%
34 SZCZAPA Lukas 2% 15% 33% 33% 15% 2%
35 CARPENTER Touma S. - 2% 10% 28% 36% 20% 4%
36 WU Matthew - 4% 20% 37% 30% 8%
37 LEE Henry 1% 10% 29% 35% 20% 4%
38 CHALLAMEL Hadrien 2% 12% 33% 35% 15% 3% -
39 ZHENG Jason - 7% 24% 36% 24% 8% 1%
40 GOVOROV Alexander 2% 15% 34% 32% 14% 2%
41 KUSACTAY Eric 8% 30% 36% 20% 5% -
42 MECHREFE Anthony 16% 38% 32% 12% 2% -
43 KOGAN Yelisey L. - 3% 14% 33% 35% 15% 1%
44 SUH Aiden - 2% 14% 34% 35% 14% 1%
45 ROSIELLO Francesco 2% 13% 32% 33% 16% 3% -
46 GLUSHKOV David - 2% 9% 26% 36% 23% 5%
47 BHANDARE Veer 1% 7% 26% 37% 23% 6% -
48 LI Ray 1% 8% 28% 39% 20% 4% -
49 CUMMINGS Owen - 1% 9% 26% 37% 22% 4%
50 PARIGIAN Alexander 3% 19% 36% 29% 11% 2% -
51 MCGRATH Hogan 34% 42% 19% 4% - - -
52 TUNG Charlie 1% 8% 27% 36% 23% 6% -
53 CAFASSO Alexander 1% 7% 25% 37% 24% 5%
53 HELMY Richard 1% 6% 22% 37% 27% 7%
55 THOMAS Andrew 5% 24% 38% 25% 7% 1%
56 LI Jade - 2% 12% 31% 38% 17%
57 LEVESQUE Gabriel 4% 21% 37% 28% 9% 1%
58 CZEPLA Andrew 3% 17% 35% 31% 12% 2%
59 NG Nico - - 3% 16% 35% 34% 11%
60 AU Joshua 1% 12% 32% 35% 17% 3% -
61 BENNETT Nathaniel 2% 18% 36% 30% 11% 2% -
62 YU David 2% 15% 35% 33% 13% 2% -
63 CHEN Aiden 9% 31% 36% 19% 5% 1% -
64 CHOU-ESTEBAN Pau - 1% 8% 28% 38% 21% 3%
65 MOZZER Nolan 2% 11% 28% 34% 20% 6% 1%
66 BRESLAV Asher 2% 18% 36% 31% 12% 2% -
67 WELCH Sebastian 41% 43% 14% 2% - - -
68 GAO Ryan 2% 19% 36% 29% 11% 2% -
69 KIM Zac 4% 25% 44% 23% 4% -
70 QI Bryan 24% 46% 25% 5% - -
71 WANG Marcus 21% 41% 28% 9% 1% -
72 ZHAO Pierce - 2% 14% 34% 34% 14% 1%
73 LIU George 10% 40% 36% 12% 2% - -
74 ROBINSON Blake 26% 43% 24% 6% 1% - -
75 LAU LUCAS 1% 7% 24% 35% 24% 7% 1%
76 ROFINO Samuel 34% 41% 20% 4% - -
77 ZHANG Jonathan 1% 5% 22% 37% 28% 8%
78 CHEN Jayden A 32% 46% 19% 3% - -
79 SKLAR Davida - 6% 25% 42% 23% 4%
80 GIMBRERE Alexandre 41% 41% 15% 3% - -
81 HOOD Emery 23% 41% 27% 8% 1% -
82 BARTON Christian 58% 34% 7% 1% - - -
83 ATKINS Elan 32% 45% 19% 3% - - -
84 TOMPA Paul 19% 42% 29% 9% 1% - -
84 MOSHIER Calvin 17% 45% 29% 7% 1% - -
86 TANG Colin 6% 24% 36% 24% 8% 1% -
87 JIANG Aidan 54% 37% 9% 1% - - -
88 STEVENS Owen 5% 25% 37% 25% 8% 1%
89 LEE Ryan 45% 39% 13% 2% - - -
90 THOMAS Ethan 2% 18% 41% 30% 8% 1% -
91 O'BRIEN Michael 60% 33% 7% 1% - - -
92 JUSTA Rivan 25% 46% 23% 5% 1% - -
93 CHO Adrian 6% 23% 36% 25% 9% 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.