March SJCC

Junior Men's Épée

Sunday, March 17, 2024 at 8:00 AM

Walter E Washington Convention Center - Washington D.C, DC, 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 SIVAKUMAR Ajit - - - 3% 18% 46% 32%
2 LEE Samuel Y. - 1% 4% 17% 34% 32% 12%
3 PARK Ian C. - - 1% 12% 44% 42%
3 GAO Daniel - - - 3% 15% 40% 42%
5 LEE Shwan - - - 1% 7% 32% 61%
6 DAVOODIAN Christopher - - 2% 10% 29% 40% 20%
7 MANN JAKEROD - - 4% 23% 49% 24%
8 IARIKOV Nicholas - - 3% 14% 33% 35% 15%
9 LI Zachary - 5% 18% 33% 29% 12% 2%
10 CHOI Kaiden I. 1% 7% 24% 37% 25% 6%
11 KOKENGE Reid - - 3% 14% 32% 36% 15%
12 KUMAR Aidan - 1% 6% 22% 36% 27% 8%
13 ZHAO Zidong 2% 14% 33% 33% 15% 2%
14 DESTEFANO Julius - - 6% 28% 46% 20%
15 NORMILE Nicholas 13% 37% 35% 14% 2%
16 BOUDREAUX James 4% 21% 37% 28% 9% 1%
17 ARAVIND Athreya - 1% 6% 21% 37% 28% 7%
18 MICKO Fritz K. - - - 3% 20% 47% 29%
19 YUE Hongrui - - 2% 12% 39% 47%
20 WU Jonathan - - 2% 10% 29% 39% 19%
21 JEYOON Ryan S. - - - 1% 9% 36% 53%
22 PARK Frederick - - 1% 6% 21% 41% 32%
23 JIANG ryan - 2% 10% 27% 35% 22% 5%
24 ATKINS Levi H. - 4% 25% 39% 25% 7% 1%
25 AGAON Shawn - - 3% 18% 45% 34%
26 LAI Aedin 1% 8% 28% 41% 21%
27 AGAON Ethan - 1% 5% 20% 36% 30% 9%
28 LEE Stewart S. - - 1% 5% 20% 41% 34%
29 MAO Benjamin - - 4% 16% 34% 33% 12%
30 CHIN Dylan A. 1% 10% 29% 37% 20% 3%
31 PARKER Isaiah 1% 10% 29% 35% 19% 5% -
32 XIA Dashan 1% 14% 41% 34% 9% 1%
33 KNOX James - - 2% 15% 44% 38%
34 BARG Jonathan - - 5% 22% 38% 28% 7%
35 CHONG christopher - - - 1% 10% 36% 52%
36 YANG Boyan - 1% 7% 28% 45% 20%
37 LE BORGNE Matthieu 1% 5% 21% 36% 29% 8%
38 O'DONNELL Benjamin - - 1% 6% 24% 42% 27%
39 WANG justin - 4% 18% 33% 31% 12% 1%
40 LEONE III Charles D. - - 4% 17% 34% 33% 12%
41 CAO Brad - 1% 10% 28% 37% 21% 3%
42 LEE Aiden 5% 21% 33% 27% 11% 2% -
43 LIN Harrison - 1% 9% 26% 36% 23% 5%
44 KIM Dylan J. - - 4% 18% 42% 36%
45 CHAWLA Armaan - 1% 7% 25% 41% 25%
46 PAN Tristan 2% 16% 37% 34% 10% 1%
47 WU Alistair 3% 23% 44% 25% 5% -
48 ZAYDMAN Ethan - 2% 13% 34% 37% 13% 1%
49 DURKIN Tristan E. 5% 24% 40% 26% 6%
50 LI Richard 3% 16% 31% 30% 16% 4% -
51 KUGLER Luke 1% 10% 27% 34% 22% 6% 1%
52 WANG zhixing (Daniel) - 3% 15% 32% 32% 15% 3%
53 GALLO James - - 3% 16% 35% 34% 12%
54 LONGSTREET Jeffrey - 2% 13% 32% 35% 16% 2%
55 VACCARO Dominick J. - 5% 21% 36% 28% 9% 1%
56 ZHU Eric - 6% 25% 40% 24% 5% -
57 MCDOWELL Will 3% 15% 31% 31% 16% 4% -
58 NIKOLOV Peter - - 3% 17% 41% 38%
59 GAO Zachary 1% 8% 23% 34% 25% 8% 1%
60 YAP Nathan 8% 27% 34% 22% 8% 1% -
61 HUANG Kenneth 4% 21% 36% 27% 10% 2% -
62 GLENNON Sebastian J. - 3% 13% 30% 33% 18% 4%
63 HULL Liam 2% 13% 30% 32% 17% 4% -
64 SIEDOW William 12% 39% 35% 12% 2% -
65 LIU Yikun - 3% 14% 31% 33% 16% 3%
66 ZHAI Avalo - 3% 15% 33% 33% 13% 2%
67 CHAI Ethan 4% 20% 34% 28% 12% 2% -
68 MITEV Alexander 1% 7% 23% 34% 25% 9% 1%
69 CLICK Aiden - - - 5% 32% 62%
70 YUEN Nathan 1% 13% 37% 36% 12% 1%
71 TIKHONOV Daniel 1% 9% 35% 41% 13% 1%
72 XIAO Hanzhi (Shawn) - 2% 11% 30% 36% 18% 3%
73 SIYANKO Joshua - 3% 17% 34% 31% 12% 2%
74 CHEN Zhengyang (Allen) - 4% 16% 33% 32% 14% 1%
75 HE Zhiheng - - 5% 20% 38% 29% 8%
76 SAUNIER Cameron 2% 15% 31% 32% 16% 4% -
76 SONG Troy - 4% 14% 30% 32% 17% 3%
78 BERNARD Jack B. - 5% 20% 34% 28% 11% 2%
79 KIM Ian - 5% 19% 38% 31% 7%
80 LEE Jayden J. 4% 19% 36% 30% 10% 1%
81 HU Robert J. 3% 19% 39% 30% 8% 1%
82 SHA Michael - 5% 25% 43% 23% 4%
83 KHANNA Nikhil - 2% 13% 36% 40% 9%
84 KRALICEK Emmet 37% 41% 17% 3% - -
85 COUSINS Cameron 6% 25% 37% 24% 7% 1%
86 CHEN Leonardo 2% 14% 32% 34% 16% 3%
87 MING Nathan 1% 8% 27% 38% 22% 4%
88 CLICK Tristan - 5% 21% 35% 27% 9% 1%
89 HANNON Owen 2% 12% 30% 33% 18% 5% -
89 CHEN Jun Ho 1% 8% 26% 36% 22% 6% 1%
91 LAI Boden - 2% 12% 29% 34% 19% 4%
92 LAM Alan 1% 12% 33% 39% 15%
93 ZOU Xianyang (Max) 4% 19% 35% 30% 11% 1%
94 LEE Aiden 4% 21% 37% 28% 9% 1%
95 MODANLOU Navid 5% 24% 37% 26% 7% 1%
96 PETRUNKO Kyrylo 55% 37% 8% 1% - -
96 MEN Junda 6% 24% 37% 26% 8% 1%
98 JIANG Matthew 12% 48% 32% 7% 1% -
99 KRISHNAN Skanda 1% 7% 22% 34% 26% 9% 1%
100 YI Nathan 18% 40% 30% 10% 2% - -
101 ZHANG Lucas 8% 29% 37% 21% 5% 1% -
102 DHAL Leon 3% 16% 31% 30% 15% 4% -
103 FANG Hanning 3% 19% 35% 29% 12% 2% -
104 DORASZELSKI Mark - 3% 21% 38% 28% 9% 1%
104 SINGH Ravin 1% 8% 25% 35% 23% 7% -
106 HU Anton 4% 22% 37% 27% 9% 1% -
107 ALEXANDER Jacksen 47% 40% 11% 2% - - -
108 SINGH Aryaman 1% 9% 25% 34% 23% 7% 1%
109 EMMERT JP 6% 24% 36% 24% 8% 1% -
110 CHENH Justin 5% 25% 40% 24% 6% - -
111 SHEN Jiayi 13% 42% 32% 10% 2% - -
112 RATUSHNYI Georgii 20% 38% 29% 11% 2% - -
113 ZOGRAFOS Nicholas 34% 41% 19% 5% 1% - -
114 GARCIA-CABRERA Jeffrey 26% 43% 25% 6% 1%
115 HU Lucas 1% 10% 34% 39% 15% 2%
116 YANG Gary 8% 40% 38% 12% 1% -
117 HOWARD Jackson 13% 35% 34% 15% 3% -
118 CHEN Jayden 14% 35% 33% 15% 3% -
119 ZHOU Austin 8% 30% 37% 19% 5% 1% -
120 HE Patrick 9% 31% 36% 19% 5% 1% -
121 PETROVICH Alexandar 32% 42% 20% 5% 1% - -
122 DUKO Phillip 9% 36% 37% 15% 2% - -
123 ALI Farhan 1% 6% 20% 33% 28% 11% 2%
124 TASKIRAN Mete 13% 38% 34% 13% 3% - -
125 PAL Ian K. 13% 36% 34% 14% 3% - -
126 KOYFMAN Benjamin - 3% 15% 33% 33% 14% 2%
127 ZHANG Roland 12% 43% 34% 10% 1% -
128 WU Marcus 1% 9% 25% 34% 23% 7% 1%
129 RIVERA Louis 13% 35% 34% 15% 3% -
130 YIN Chujun 35% 43% 18% 3% - -
131 DONNELLY Enzo 41% 42% 15% 2% - - -
132 DAN Rex 4% 24% 38% 25% 7% 1% -
133 MA Wilson 58% 36% 6% - - - -
134 WANG Marcus 46% 40% 13% 2% - - -
135 HAN Sam 2% 15% 33% 32% 15% 3% -
136 RAMSDELL Owen 31% 41% 22% 6% 1% - -
137 BANNEN Nicholas 10% 31% 35% 18% 4% -
138 YAO Andrew 39% 42% 16% 3% - - -
139 ARMSTRONG TyLee 26% 42% 25% 7% 1% - -
140 LENNON Nicholas 26% 41% 25% 7% 1% -
140 SUNKARA Vishnu 64% 31% 5% - - -
142 WANG Aiden 31% 42% 21% 5% 1% - -
143 NALLICHERI Ayaan 61% 33% 5% - - -
144 BUI Ryan 19% 55% 23% 4% - - -

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.