December SJCC + Division 1 NAC

Cadet Men's Saber

Friday, December 1, 2023 at 1:00 PM

Richmond, VA, 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 KANG Evan R. - 2% 14% 35% 36% 13%
2 KIM Ethan - 1% 9% 29% 41% 20%
3 CHON Collin - 1% 5% 20% 36% 30% 8%
3 HU Zhao Xuanyu - 6% 22% 37% 28% 8%
5 BYON Adrian - 1% 7% 26% 43% 24%
6 MIYASAKI-CASTRO Masanobu - - 1% 8% 27% 41% 23%
7 SU Landon - - 1% 8% 26% 41% 24%
8 YAN William - 2% 11% 27% 34% 20% 5%
9 REN James - - - 3% 15% 41% 41%
10 SHIRPAL Oleksandr - - - 3% 17% 42% 37%
11 WANG Daniel - 3% 17% 36% 33% 10%
12 LESUEUR Luke J. - 2% 14% 32% 34% 16% 2%
13 UEMOTO Ken 6% 27% 38% 22% 6% 1% -
14 CHUNG Connor - 2% 13% 34% 39% 12%
15 WANG Zhuoyi - 1% 5% 21% 38% 29% 7%
16 HUANG Maxwell H. 3% 17% 33% 31% 14% 3% -
17 ZHANG Yupeng - 1% 6% 22% 36% 28% 8%
18 HU Christopher - 1% 8% 25% 36% 24% 6%
19 GUFFEY Christopher - - 3% 18% 44% 34%
20 BONIFIELD Arthur G. - - 2% 14% 41% 42%
21 MCCARTHY Gabriel - - - 3% 18% 44% 35%
22 YE Eric - - 2% 11% 30% 38% 18%
23 MATTOO Deven 6% 25% 38% 24% 6% -
24 LUHAN Zachary - 1% 5% 18% 34% 31% 11%
25 RYAN Kai - 5% 20% 35% 29% 10% 1%
26 KALPATHY Rohit - 3% 15% 34% 34% 13%
27 BARRIOS Diego 1% 9% 30% 37% 19% 4%
28 LI Yiwei - - 2% 11% 30% 39% 17%
29 GONG zihao - 5% 20% 35% 28% 11% 1%
30 PATEL Rayn - - 3% 15% 33% 35% 14%
31 KIM Theodore 1% 11% 31% 35% 18% 4% -
32 WANG William 4% 20% 37% 29% 9% 1%
33 TAO Jeffrey - - - 2% 13% 41% 44%
34 ZENG Noah - - 1% 6% 23% 42% 28%
35 ERMAKOV Semeon - - 3% 16% 35% 34% 11%
36 SUGIURA Samuel - 1% 9% 28% 37% 21% 3%
36 ZHAO Lucas - 3% 14% 32% 33% 15% 3%
38 DALAL Rohan - 1% 5% 19% 34% 31% 11%
39 FELDMAN Drew - - 3% 14% 35% 37% 12%
40 VAID Luke - - 2% 12% 36% 39% 12%
41 KESSLER Nathan 1% 7% 23% 35% 25% 8% 1%
42 CHEONG Heonjun - - - 2% 13% 39% 46%
43 BYON Julian - 1% 9% 28% 36% 21% 4%
44 YAN Kevin 1% 9% 29% 38% 20% 4%
45 MATTOO Surya - 6% 24% 40% 24% 5%
46 CHEN Jonathan - 2% 11% 29% 36% 19% 3%
46 NOTOPRADONO Nicholas 2% 14% 34% 33% 14% 3% -
48 LIN Daniel - - 1% 8% 26% 41% 24%
49 BONETTI Brayden 1% 6% 20% 33% 28% 11% 2%
50 NG Jonathan - - 5% 18% 35% 31% 10%
51 TSAO Oliver 1% 5% 19% 34% 29% 11% 1%
52 TURCK Caspar J. - 5% 20% 36% 30% 9%
53 ANAND Rohan - 1% 6% 21% 36% 29% 8%
54 BROU Inkosi - - 3% 15% 34% 34% 13%
55 GOLDIN Lucca - 1% 7% 23% 36% 27% 7%
56 OH Aster 1% 9% 29% 36% 20% 5% -
57 ZHAO Yogi - 2% 12% 30% 35% 18% 3%
58 SOWERS Samuel - - 4% 18% 35% 32% 11%
59 HO Jacob 4% 19% 34% 29% 12% 2% -
60 GERSTMANN Max T. 3% 22% 39% 27% 9% 1%
61 SADHU Neiyam 14% 37% 34% 13% 2% -
62 HOLZ Lucas 2% 12% 29% 33% 19% 5% -
63 AYDOGDU Hakan 1% 12% 32% 34% 17% 4% -
64 CUSUMANO Neal 13% 35% 35% 15% 3% -
65 KIM ELIJAH - - - 3% 16% 42% 38%
65 KATZ Ryan - 1% 6% 22% 38% 27% 6%
67 MUNGUIA Nathan - 2% 11% 28% 35% 20% 4%
68 HWANG Jayden - 1% 6% 22% 37% 27% 7%
69 NGO Maximus - 8% 26% 36% 23% 7% 1%
70 ROE Finnegan - 1% 9% 29% 42% 19%
71 HUANG Alexander C. - 2% 12% 30% 35% 18% 3%
72 LIU Lawrence - - 1% 7% 25% 41% 25%
73 PRIEUR Christian F. 9% 28% 35% 21% 6% 1% -
74 LIN Philip T. - 3% 14% 31% 33% 16% 3%
75 DENBROEDER Ronald (Mackie) - - 2% 12% 33% 39% 13%
76 ANDRES Michael - - 3% 16% 39% 34% 9%
76 YANG Dylan - - 2% 9% 28% 40% 21%
78 ZHOU James Y. 1% 7% 24% 35% 25% 8% 1%
79 GAUVEY Kieran 1% 5% 21% 35% 27% 10% 1%
80 ZHENG LEON - 4% 17% 35% 31% 12% 1%
81 MAHAPATRA SAMARTH 2% 14% 33% 34% 15% 3%
82 CHEN Samuel 1% 10% 30% 37% 19% 3%
83 GAO Albert - 1% 8% 27% 41% 24%
84 WANG Justin - 1% 10% 32% 41% 16%
85 SIMATOS Luka D. 9% 29% 35% 20% 6% 1% -
86 JONES Elijah 4% 25% 40% 25% 6% 1% -
87 BELL III Alfred (Tripp) R. - 3% 15% 34% 33% 14% 2%
88 MCDONALD Finn 1% 11% 30% 36% 18% 4% -
89 ROSS Dash S. 16% 36% 31% 13% 3% - -
90 SHANKWILER Christopher - 1% 7% 25% 38% 24% 4%
91 TIAGI George - 2% 11% 28% 35% 20% 4%
92 BENSON Jacob 3% 16% 32% 31% 14% 3% -
93 BREGADZE NODAR 3% 17% 34% 30% 13% 2% -
94 DUNCAN Adlai - 3% 16% 31% 31% 16% 3%
95 LAUB William 1% 8% 27% 36% 22% 6% -
96 CLARK Aram 2% 16% 36% 32% 13% 2%
97 ATWOOD Griffin 4% 23% 38% 26% 8% 1%
98 SUN Ziyao 15% 37% 33% 13% 2% -
98 WANG Weiyun 6% 28% 40% 21% 4% -
100 MISHRA Aadi 11% 38% 35% 13% 2% -
101 PORTER Dupree 4% 23% 37% 26% 8% 1% -
102 FRANCOIS Alexander C. - 3% 16% 34% 33% 14% 2%
103 WANG Max 3% 22% 39% 27% 9% 1% -
104 WANG HongXi 4% 25% 39% 25% 7% 1% -
105 ANAND Rishab 1% 6% 23% 36% 26% 8% 1%
106 KO Zuriel 1% 11% 30% 35% 18% 5% -
107 ALMEDA Stanislav 6% 29% 40% 20% 4% - -
108 WONG Caleb W. 11% 34% 35% 16% 4% - -
109 MARGULIS Jared 2% 19% 37% 30% 11% 2% -
110 REHM Liam 7% 30% 37% 20% 5% 1% -
111 XU Ivan 6% 27% 37% 22% 6% 1% -
111 VEDRE Neil 10% 29% 34% 20% 6% 1% -
113 O'LOUGHLIN Quinlan 9% 37% 36% 15% 3% - -
114 PARCELL Colby 28% 42% 23% 6% 1% - -
115 TSATSAS Andreas 8% 31% 37% 18% 4% - -
116 ONG Dylan 15% 38% 33% 12% 2% -
117 LIN Steve 1% 9% 29% 37% 20% 4%
117 FANG Eason 9% 31% 37% 18% 4% -
119 DECK Tyson - 1% 9% 27% 37% 21% 4%
120 LIGH Checed 9% 29% 35% 20% 6% 1% -
121 ZLATINSKI Jason 5% 22% 35% 26% 10% 1% -
122 KALOUDIS Sean 16% 40% 31% 11% 2% - -
123 LEE Anderson 11% 31% 34% 18% 5% 1% -
124 VALENCIA Jose 3% 16% 32% 31% 14% 3% -
125 LIN Felix 4% 27% 39% 23% 6% 1% -
126 NAYAK Surin K. 12% 38% 36% 13% 2% -
127 CRAWFORD William 59% 33% 7% 1% - - -
128 ANSARI Umayr 64% 30% 5% - - - -
129 HENDERSON Lucas 2% 14% 35% 35% 13% 2% -
130 CAI fungyu 36% 43% 18% 3% - -
131 WITCZAK Mateus 1% 13% 32% 33% 17% 4% -
132 SASSI Ilyas 8% 28% 35% 21% 7% 1% -
133 SARWAHI Viraat 10% 31% 35% 18% 5% 1% -
134 KUMAR Arjun 3% 19% 36% 29% 11% 2% -
135 STRUCKER Rocco 38% 43% 17% 3% - - -
136 BARROWS Hunter 36% 42% 18% 3% - - -
137 CRAIN Bennett 10% 30% 35% 19% 5% 1% -
138 RINALDI Savio 33% 43% 19% 4% - - -
139 MUNJULURI ruhaan 61% 32% 6% 1% - -
140 MATTINGLY Ian 35% 42% 19% 4% - - -
141 FENG Brendan 44% 41% 13% 2% - -
142 LICHTERMAN Jakub 50% 38% 11% 2% - -
143 FRUTH Evan 11% 36% 35% 15% 3% - -
144 LEMERY Marc 45% 40% 13% 2% - - -
144 FERTIL Ethan 56% 35% 8% 1% - - -
146 RILEY "Jack" 37% 42% 18% 3% - - -
147 RICHMAN Izak 72% 24% 3% - - - -
148 GRABOWSKI Stanley 77% 21% 2% - - - -

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.