Ben Gutenberg Memorial SYC - RJCC

Y-12 Men's Foil

Sunday, October 19, 2025 at 8:00 AM

Golisano Training Center at Nazareth University - Rochester, 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 WANG Mendy - - - - 5% 30% 65%
2 QU Richard - - - 4% 18% 41% 36%
3 ZHAI Derrick - - - 1% 9% 37% 53%
3 DESERANNO Leander - - - - 1% 17% 81%
5 XIAN kevin - - - - 3% 25% 71%
6 HU Michael - - 2% 10% 29% 41% 18%
7 LIM EUNSEONG - - 3% 19% 54% 25%
8 CAO Joshua - 1% 9% 28% 41% 22%
9 FAN Ze Lin - - - 1% 11% 39% 49%
10 ZHONG Yi - - - 5% 30% 65%
11 TAN Charlie - - - 1% 8% 34% 58%
12 ZHAI Alex - - 1% 6% 23% 43% 27%
13 GUGALA Frank - 3% 14% 30% 33% 17% 3%
14 ZHONG Tian - 1% 6% 24% 42% 27%
15 SONG Enoch 4% 19% 37% 30% 9% -
16 ZHANG Eric 12% 35% 36% 15% 2% -
17 WU Wallace - - - 1% 7% 32% 61%
18 LIN Lucas - - 4% 18% 35% 31% 11%
19 VENAFRO Tristan - 1% 6% 23% 39% 26% 5%
20 ZHONG Kingsley - 1% 9% 26% 35% 23% 6%
21 XIE Jayden - - 4% 17% 36% 34% 9%
21 WANG Caleb - - 3% 14% 32% 35% 15%
23 MAZAHERI Theodore 1% 6% 22% 36% 27% 8% 1%
24 KIAYIAS Anthony 1% 9% 28% 37% 21% 4%
25 ROPER Griffin - 2% 10% 27% 35% 21% 5%
26 SHARMA Ari - 2% 15% 34% 34% 14% 1%
27 TIAN Andy - - 5% 21% 41% 29% 4%
28 CAO Aaron - 2% 9% 25% 36% 24% 5%
29 MCCOOL Henry 9% 30% 37% 20% 5% -
30 MAZAHERI John - 1% 9% 30% 40% 19% 2%
31 CHEN Keegan 2% 12% 30% 34% 18% 4% -
32 CHAU Ivan - 4% 18% 34% 31% 12% 1%
33 ZHUANG Disheng (Eddie) - - 4% 16% 34% 34% 12%
33 HEBERT SEBASTIEN - 5% 20% 35% 29% 10% 1%
35 ZHANG Aaron - - 4% 19% 40% 33% 3%
36 WANG Jaaziel - 5% 20% 37% 29% 8% -
37 LIU Bradley - 4% 21% 37% 28% 9% 1%
38 DENG Jonathan 2% 13% 30% 32% 17% 4% -
39 LU Ethan 1% 15% 34% 32% 15% 3% -
40 XU Jason 1% 6% 20% 33% 28% 11% 1%
41 HAN Jiaren - 4% 19% 36% 30% 10% 1%
42 YIN Andrew 2% 14% 33% 33% 15% 3% -
43 LYU Brandon 1% 6% 24% 39% 26% 4%
44 QIAN Will - 3% 14% 34% 36% 13%
45 WU Yulen 15% 38% 33% 13% 2% -
46 DHALIWAL Zorawar Singh 1% 6% 23% 36% 26% 8% 1%
47 LI Andrew 14% 37% 34% 13% 2% -
48 HUA Isaac 4% 19% 34% 29% 12% 2% -
49 YANG Luca - - 4% 18% 38% 33% 6%
50 CHEN Kyler 1% 10% 27% 34% 21% 5% -
51 HUYNH Kaleb - 1% 9% 26% 35% 23% 6%
52 LIN George - 6% 24% 39% 25% 6% -
53 TARDIFF Owen 1% 8% 25% 36% 23% 6% 1%
54 XIA Vincent 3% 18% 36% 31% 12% 2%
55 LIU Mason 1% 10% 30% 37% 19% 3% -
56 WU David 6% 24% 35% 25% 9% 1% -
57 YANG Crescent 13% 33% 34% 16% 4% - -
58 BUCHNER Roland 3% 18% 34% 29% 12% 3% -
59 XU Jonathan 1% 12% 31% 34% 18% 4% -
60 HUANG Dalynn 4% 21% 38% 28% 8% 1%
61 DAVE Neil 2% 30% 40% 22% 5% 1% -
62 KOSCIK-AQUINO Nicholas 3% 18% 38% 30% 10% 1% -
63 LI Eric 27% 45% 23% 5% 1% - -
64 YOON Mason 2% 11% 29% 34% 19% 5% 1%
65 HE Ryan - 4% 18% 34% 31% 12% 1%
66 YU Oliver - 3% 18% 36% 31% 11% 1%
67 XUAN nathan 13% 38% 33% 13% 2% - -
68 KANAN Noland - 3% 17% 35% 32% 12% 1%
69 KIM JOSHUA 21% 44% 28% 7% 1% - -
70 CHONG Cooper 7% 25% 35% 24% 8% 1% -
71 AMR HOSSNY Adam 8% 29% 37% 21% 4% -
72 JIAO Daniel - 2% 12% 32% 36% 16% 2%
73 MADDES Gage - 4% 20% 35% 28% 10% 1%
74 JAZWINSKI Archer 27% 45% 23% 5% - - -
75 GENG Vincent 4% 18% 33% 30% 13% 2% -
76 LI Ethan 29% 42% 23% 6% 1% - -
77 ZHAO David 8% 28% 37% 22% 6% -
78 NG Chuck 24% 42% 26% 7% 1% -
79 FAN Oscar 31% 43% 21% 5% - - -
80 MOON Nolan 1% 11% 33% 35% 16% 3% -
81 MOSAMEH Faraj 7% 29% 37% 21% 5% 1% -
82 GUTKOVSKIY Ryan 15% 35% 32% 14% 3% - -
83 LEE Ryan 12% 35% 34% 15% 3% - -
84 PAGNIELLO Francesco 33% 45% 18% 3% - - -
85 SAVIR Ethan 2% 12% 30% 34% 18% 4% -
87 MOORE Quinn 3% 16% 32% 32% 15% 3% -
88 NG Harry 27% 42% 24% 6% 1% - -
88 LEE Thomas 30% 44% 22% 4% - - -
90 KIM ISAAC 32% 41% 21% 5% 1% - -
91 MENZEL Lucas 3% 15% 31% 32% 16% 4% -
92 SHAW Roman 64% 30% 6% 1% - - -
93 PARK Joshua 16% 38% 32% 12% 2% -
94 YU Adam 1% 11% 31% 36% 18% 3% -
95 FENG Ruoting 21% 43% 27% 8% 1% - -
96 PAN William 87% 13% 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.