National Championships & July Challenge (Summer Nationals)

Y-10 Men's Épée

Sunday, July 9, 2023 at 2:00 PM

Phoenix Convention Center - Phoenix, AZ, 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 MAZAHERI Fletcher - - 1% 5% 20% 41% 33%
2 KROPP Wesley - - 1% 9% 27% 40% 23%
3 YAO Tristan - - - 4% 20% 43% 32%
3 TUBALTSEV Evan - 1% 8% 27% 41% 23%
5 DODIN Daniel M. - - 1% 5% 21% 43% 30%
6 KATS Brandon - 6% 24% 37% 25% 7% 1%
7 WU Matthew 1% 5% 17% 30% 30% 15% 3%
8 MYRAH Devin 2% 14% 30% 32% 17% 4% -
9 SHOURIE Seth 1% 7% 22% 33% 26% 10% 1%
10 MIDYANY Ryan - - - 4% 18% 41% 37%
11 CHEN Aiden - - 3% 14% 31% 36% 16%
12 DU Evan 1% 9% 25% 35% 23% 7% 1%
13 MOSTOVOY philip - - - 3% 17% 41% 39%
14 LEE Harrison - 1% 8% 23% 34% 25% 7%
15 LEITNER Brek - 2% 12% 31% 35% 16% 3%
16 XUE Michael - - 2% 11% 28% 38% 20%
17 ENG Kyler - - - 4% 19% 42% 35%
18 GEVA Reuben - - 2% 10% 28% 39% 22%
18 KICIMAN Leo 2% 14% 30% 32% 17% 4% < 1%
20 KHERSONSKY Robert - 4% 17% 34% 33% 12%
21 KIM Julian - - 2% 11% 29% 38% 19%
22 DING Max - 1% 7% 22% 34% 27% 8%
23 PERRY Noah - 3% 15% 30% 32% 16% 3%
24 CHANG Matthew - 1% 9% 26% 36% 23% 5%
25 WONG Alexander - 2% 10% 26% 35% 23% 5%
26 MOSLEY Wally - 2% 11% 27% 36% 21% 4%
27 MANA Sameer - 1% 6% 20% 35% 29% 9%
28 SONG Aidan - 1% 6% 20% 34% 29% 10%
28 ARMSTRONG Payson - 1% 9% 27% 37% 22% 4%
30 SHOURIE Neel 2% 10% 26% 33% 21% 7% 1%
31 ZHOU Luke 1% 6% 20% 33% 28% 11% 2%
32 KONG Ethan 1% 10% 27% 35% 22% 5%
33 LUO Alexander - - 3% 14% 32% 35% 15%
34 MASKIN Mikhail - 1% 5% 18% 34% 31% 11%
35 HANTOV Adrian - 4% 17% 33% 31% 13% 2%
36 VEERAVALLI Pranav - 4% 18% 34% 30% 12% 2%
37 MADRIGAL SALVAT Guillermo - 3% 13% 29% 34% 18% 4%
38 CHEN Evan - 3% 13% 28% 32% 19% 5%
39 KIM Evan 1% 8% 23% 33% 25% 9% 1%
40 YAO Aiden 8% 29% 37% 20% 5% -
41 LU Ian 1% 6% 20% 33% 27% 11% 2%
42 YAKHNIS Seth - 1% 4% 16% 32% 34% 14%
43 ROBERTS Arthur - 1% 8% 22% 35% 26% 8%
44 HEADRICK Liam - - 2% 12% 33% 38% 14%
45 SHAPIRO Samuel 1% 9% 23% 32% 24% 10% 2%
46 WU Nathan - - 1% 5% 22% 42% 30%
47 HUA Nolan 7% 26% 35% 23% 7% 1%
48 FU Nolan - 3% 16% 35% 34% 11%
49 SRINIVASAN Sanat Ram 1% 7% 21% 32% 26% 11% 2%
50 MEHROTRA Darsh 4% 22% 37% 27% 9% 1% -
51 VINCENT-GRAVENHISE Malcolm - 4% 15% 30% 31% 16% 3%
52 YAO Ryan - 5% 18% 32% 30% 14% 2%
53 KHUSHRAJ Rohan - 5% 17% 32% 30% 13% 2%
54 SMITH Theo 11% 31% 34% 18% 5% 1% -
55 AZAMOV Samir - 1% 5% 19% 35% 31% 9%
56 WONG Kyle - 1% 8% 25% 35% 24% 6%
57 CHEN Daniel - 1% 4% 16% 33% 33% 13%
58 LI Stephen 1% 6% 22% 35% 28% 8%
59 YUE Bryan 2% 11% 27% 33% 21% 7% 1%
60 ISMAILOV Alan - 1% 7% 21% 34% 28% 8%
61 RAMIREZ Hunter 2% 13% 29% 32% 18% 5% -
62 YU Brandon 18% 37% 30% 12% 3% - -
63 MBERIA Henry 3% 17% 35% 30% 13% 2% -
64 LO Stefan 4% 20% 34% 28% 11% 2% -
65 PURUSHOTHAM Neil 1% 5% 19% 33% 28% 12% 2%
66 WONG Aaron - 7% 25% 38% 24% 6%
67 DANILOV Artur - 1% 6% 19% 34% 30% 10%
68 SHIM Jae - 2% 9% 25% 34% 24% 6%
69 LIU Austin - 3% 13% 30% 34% 18% 3%
70 NOOL Aaron 12% 32% 33% 17% 5% 1% -
71 BALUCAN Gabriel - 1% 7% 24% 36% 25% 6%
72 CHIANG William 1% 9% 30% 37% 19% 4%
73 SHIH Derek 6% 24% 34% 25% 9% 2% -
74 FRENCH Drake 1% 6% 20% 34% 28% 10% 1%
75 WHITE Jackson 1% 6% 20% 33% 28% 11% 2%
76 WANG Juehan 1% 6% 19% 32% 28% 12% 2%
77 SUN Jiarui (Jerry) 1% 17% 35% 31% 13% 2% -
78 MA kevin 3% 16% 32% 31% 15% 3% -
79 RONG Marcus - 1% 8% 27% 41% 23%
80 QU RuiTing - 4% 15% 31% 32% 16% 3%
81 LIN Bryan 1% 13% 32% 34% 16% 3% -
82 ZINCHUK Yuri 1% 11% 28% 34% 20% 5% -
83 LIU Xuyao 2% 13% 29% 32% 18% 5% 1%
84 CHA Aiden 7% 25% 36% 23% 8% 1% -
85 JU Shang 18% 37% 30% 12% 3% - -
86 CHEN Tianjun 1% 5% 19% 33% 28% 12% 2%
86 GUO Jonathan - 4% 14% 29% 31% 18% 4%
88 YOO Lucas - 2% 12% 30% 35% 18% 3%
89 VICK Ethan 1% 8% 23% 33% 25% 9% 1%
90 AZAMOV Saeed-Azeem 8% 27% 35% 22% 7% 1% -
91 LEE Lucas 2% 11% 28% 33% 20% 6% 1%
92 ZHAN ETHAN 3% 15% 31% 31% 16% 4% -
93 PLUMMER Kellan 2% 12% 31% 35% 17% 3%
94 BHANDARE Veer 8% 27% 35% 22% 7% 1%
95 LEE Joshua 7% 33% 38% 18% 4% -
96 YU Andrew 10% 29% 35% 20% 5% 1%
97 WU Jiachen 1% 6% 21% 33% 27% 11% 2%
98 YU George 23% 41% 26% 8% 1% - -
99 YI Joshua - 9% 29% 35% 21% 5% -
100 FERREIRA DE MELO Martin - 2% 13% 31% 34% 17% 3%
101 FERNANDEZ William 1% 5% 19% 34% 29% 11% 1%
102 STRAFFORD Andrew 12% 35% 34% 15% 3% - -
103 BERNIER Landyn 2% 13% 30% 32% 17% 4% -
104 TALBOT Jett 6% 24% 35% 24% 9% 1% -
105 RODRIGUEZ Emiliano - 1% 10% 28% 36% 21% 4%
106 RAMIREZ Tristan 19% 37% 29% 12% 2% - -
107 TALANDZEVICIUS Tomas 10% 30% 34% 19% 6% 1% -
108 CHEN Christopher 21% 40% 28% 10% 2% - -
109 TJAMALOUKAS Nikolaos - 1% 5% 19% 35% 31% 10%
110 ZHANG Aiden 21% 38% 28% 11% 2% - -
111 DESAI Adithya - 5% 21% 37% 28% 8%
112 LIN Daniel 25% 41% 25% 7% 1% -
113 WANG Lucas 1% 5% 19% 32% 29% 13% 2%
114 HOLDEN Harrison 3% 14% 31% 32% 16% 4% -
115 YOON Jonathan 11% 33% 34% 17% 4% - -
116 THOMPSON Luca - 2% 12% 29% 34% 19% 4%
117 LITVINOVSKY Benjamin 14% 34% 33% 16% 4% - -
118 DAVIS Stewart 35% 42% 19% 4% - - -
119 LI Vance 4% 17% 32% 30% 14% 3% -
120 SHAYAKHMETOV Maxim 15% 35% 32% 15% 4% - -
121 MA Weichu 9% 32% 36% 18% 4% - -
121 LIU Aiden 2% 12% 28% 33% 20% 6% 1%
123 BALLEZA Maximilian 5% 22% 35% 26% 10% 2% -
124 SHIM Jaeyoo 10% 29% 33% 20% 7% 1% -
125 LUO Alvin Y. 5% 20% 32% 27% 12% 3% -
126 KHALID Ilyas 4% 20% 36% 29% 10% 1%
127 CHO Joshua 19% 38% 29% 11% 2% - -
128 YU Haoyun 11% 33% 34% 17% 4% 1% -
129 PANUGANTI Neal 8% 28% 35% 21% 7% 1% -
130 KAPP Eamon 28% 40% 24% 7% 1% - -
131 LEE Joshua 9% 29% 35% 20% 6% 1% -
132 LIU Yihong 7% 27% 36% 22% 7% 1% -
133 JONES Blaise P. 12% 33% 34% 17% 4% 1% -
134 LAI Jayden 16% 35% 31% 14% 3% - -
135 MILLER Xavier 3% 16% 33% 31% 14% 3% -
136 MATUSOW Brandon 1% 9% 24% 33% 23% 8% 1%
137 GAN Samuel 47% 39% 12% 2% - - -
138 SHARMA Sahaj 4% 20% 33% 28% 12% 3% -
139 ZHAO Luke 11% 31% 34% 18% 5% 1% -
140 YOU Emmanuel 2% 17% 36% 31% 12% 2% -
141 THOMSON Piers 2% 13% 32% 34% 16% 3% -
142 WHITE Leonardo 51% 38% 10% 1% - -
143 ROFINO Samuel 8% 27% 34% 22% 7% 1% -
144 ZHENG Dylan 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.