AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Junior Men's Épée

Sunday, October 8, 2023 at 12:30 PM

Santa Clara Convention Center - Santa Clara, CA, 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 CARRIER Gabriel A. - - - 1% 11% 42% 46%
2 KIM Benjamin I. - - - 2% 22% 76%
3 ANDERSON Kai 6% 27% 41% 22% 4% - -
3 LIU Yikun - - 5% 20% 38% 30% 7%
5 LIU Andrew - - 1% 9% 32% 42% 16%
6 ZHENG Haoran - - - 2% 12% 40% 47%
7 CHIRASHNYA Adam - - 1% 6% 23% 42% 28%
8 GIOVAGNOLI Nolan - - 4% 18% 36% 32% 10%
9 MCADOO Declan - - 3% 15% 36% 35% 11%
10 PAK Elliot - 1% 7% 27% 43% 23%
11 CHIRASHNYA Daniel - - 1% 6% 23% 41% 29%
12 YAO Geoffrey B. - - - 2% 15% 41% 41%
13 GALLO James - - - 4% 18% 41% 36%
14 OBERDERFER Vladimir - 3% 15% 31% 32% 15% 2%
15 NG Biwon 2% 14% 37% 35% 11% 1% -
16 SHIRLEY Kai - 5% 20% 37% 28% 9% 1%
17 KIM Jayden - 1% 7% 24% 38% 26% 5%
18 LI Yunji (Rain) 1% 6% 22% 35% 26% 9% 1%
19 MCALISTER Ian - - - 4% 19% 42% 35%
20 TONG Samuel 2% 14% 33% 33% 15% 3% -
21 JAIN Samyak 1% 10% 28% 35% 21% 6% 1%
22 KNUDSEN Travis - 1% 10% 29% 37% 19% 3%
23 ZAYDMAN David M. - - 1% 7% 33% 44% 15%
24 RICHARD silas - - 5% 23% 41% 26% 5%
25 JU Hanul - 3% 16% 34% 32% 13% 2%
26 ERLIKHMAN Adrian - 3% 15% 31% 32% 16% 3%
27 DAO Alexander - 1% 6% 21% 36% 28% 8%
28 SEO Shawn - 1% 5% 20% 37% 30% 7%
29 LEVENTAL Mark 1% 9% 26% 34% 22% 7% 1%
29 KIM Ian - - 4% 19% 38% 31% 8%
31 MULCAHY Olaf - - 3% 17% 43% 31% 6%
32 SHEN Jiayi 9% 32% 37% 18% 4% - -
33 WONG KEVIN - - - 5% 22% 43% 30%
34 LEE Bryson - 5% 22% 37% 26% 8% 1%
35 LI Patrick - - - 2% 13% 40% 44%
36 CASTELLY Luke - - 4% 18% 37% 32% 8%
37 STRAUSS Luke - - - 3% 15% 41% 41%
38 KIM Dylan J. - - - 2% 14% 41% 43%
39 DANIELS Jonah - 2% 14% 33% 34% 15% 2%
40 KUO Rylan - 3% 15% 32% 33% 15% 2%
41 CHOI Zachary - 1% 10% 31% 40% 17%
42 LI zerong 4% 21% 39% 29% 7% -
43 KIM Sullivan - - - 3% 18% 44% 34%
44 YUEN Nathan - 2% 12% 30% 35% 17% 3%
45 SARKAR agniv - - 1% 7% 25% 41% 26%
46 TAI Edison - 4% 17% 35% 31% 12% 1%
47 YU Austin - 1% 7% 24% 38% 25% 5%
48 VILLALOBOSKOWALSKI Demetrious C. - 2% 9% 26% 36% 22% 4%
49 MING Nathan - 1% 10% 35% 46% 8%
50 GU Aidan 1% 8% 25% 36% 23% 7% 1%
51 ROBINSON Samuel 4% 19% 34% 29% 12% 2% -
52 GENCHEV Madav 5% 23% 37% 25% 8% 1% -
53 ZHUANG William 1% 7% 24% 36% 24% 7% 1%
54 CHANG Andrew 11% 33% 35% 17% 4% - -
55 DONG Haiyi - 10% 33% 38% 16% 3% -
56 STAFFORD Bryan 2% 20% 37% 28% 10% 2% -
57 WONG Baron 3% 20% 38% 28% 9% 1% -
58 DODDAPANENI Aarav 3% 20% 38% 28% 9% 1% -
59 MORIN-JIANG Jake 2% 16% 36% 32% 12% 2%
60 TIEN Jabin - 1% 6% 22% 37% 28% 7%
61 CHOI Kaiden I. - - 3% 16% 37% 34% 9%
62 NOFZIGER Bennett 1% 15% 38% 33% 11% 1% -
63 MILEY Walker 8% 28% 35% 21% 6% 1% -
64 CHAUDHURI Kabir 56% 35% 8% 1% - - -
65 LAURIMAA Emil 1% 9% 29% 38% 20% 3%
66 CHAKRAVARTHY Arjun 7% 27% 38% 22% 6% 1% -
67 HARGROVE Kai 1% 8% 26% 35% 23% 7% 1%
68 SINHA Zaan - 3% 14% 31% 33% 16% 3%
69 LEE Damien 1% 13% 32% 34% 16% 4% -
70 SIM Ian 12% 35% 36% 15% 2% -
71 LI Ethan R. 2% 11% 29% 34% 19% 5% -
72 HIGGINS Calvin 4% 33% 41% 18% 3% - -
73 LOMIO Nicholas A. 3% 17% 35% 31% 12% 2% -
74 CHENG Trevor 13% 37% 33% 14% 3% - -
74 MIAO KUNQI - 2% 12% 30% 34% 18% 3%
76 ZANKOWSKI Brendan 29% 42% 23% 6% 1% - -
77 BAZHENOV Anthony - 3% 16% 34% 32% 12% 1%
77 CLAES Lucas 1% 11% 31% 36% 17% 3% -
79 RUBIN Max - 4% 17% 33% 31% 13% 2%
80 WANG aaron 14% 37% 33% 13% 2% - -
81 PRAKASH Hari 1% 10% 29% 36% 19% 4% -
82 WONG Preston 28% 43% 23% 5% 1% -
83 LAURSEN Logan 11% 34% 37% 16% 2% -
84 HSU Joshua 6% 28% 38% 22% 6% 1% -
85 YAN Eric 38% 41% 17% 3% - - -
86 KIM Alexander 7% 31% 38% 19% 4% - -
86 WU Johnny y. 25% 41% 26% 8% 1% - -
88 AGHAZARIAN Samuel G. 34% 44% 19% 3% - - -
89 HOLLAND Thomas 25% 42% 25% 7% 1% - -
89 ZHAO Colin 47% 40% 12% 1% - - -
91 KIM Remington 27% 43% 24% 6% 1% - -
92 PAINTER Noah 11% 37% 36% 14% 2% - -
92 WACHS Bryce 64% 30% 5% - - - -
94 ORMOND Andrew 25% 42% 25% 7% 1% - -
95 RISTOW Carsten 16% 39% 33% 11% 1% -
96 GUO Woody 18% 42% 30% 9% 1% -
97 LEE Royce 9% 33% 36% 17% 4% - -
98 NGUYEN Grayson 23% 41% 26% 8% 1% - -
99 WU Eric < 1% 8% 27% 36% 21% 6% 1%
100 BHARGAV Angad 4% 25% 39% 25% 7% 1% -
100 FAN Joshua 16% 39% 31% 11% 2% - -
102 MITCHEM Paolo 38% 42% 17% 3% - - -
103 CHANG Kristopher 72% 25% 3% - - - -

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.