AFM Super Regional SYC/RJCC/ROC (D1A/VET)

Y-14 Men's Foil

Sunday, November 6, 2022 at 8:00 AM

Santa Clara Convention Center - Santa Clara, CA, USA

Probability density of pool victories

Reset

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 SISINNI Riccardo - - - 1% 9% 36% 54%
2 SIU Aiden - - - - 1% 17% 81%
3 CANLAS Nathan - - - - 2% 19% 79%
3 NICOLETTI Luca - - - 3% 16% 40% 41%
5 LING Eddie - - - - 4% 29% 66%
6 FUKUDA Diego - - 2% 18% 50% 30%
7 YI William - - - 3% 19% 45% 33%
8 WU Alber Y. - - 4% 19% 43% 35%
9 DINSAY Kristjan A. - - - 2% 12% 39% 48%
10 RASMUSSEN Sage - - 2% 14% 35% 37% 12%
11 LEE Christopher T. - - - 3% 26% 70%
12 SOTO-ULEV Aden A. - - - 6% 45% 49%
13 TALASILA Arush - - 2% 14% 39% 35% 9%
14 LO Preston - - 1% 5% 21% 42% 31%
15 CORTRIGHT Skipper - - - 3% 18% 43% 36%
16 KETTELLE John - 1% 5% 20% 38% 30% 7%
17 WU Lucas - 2% 10% 30% 41% 17%
18 PARK Ryan - - 1% 11% 38% 40% 10%
19 DERRICK Blake - - - 3% 17% 47% 33%
20 MORROW Brenden - - - 1% 10% 39% 50%
21 ZHANG Aaron - - - 2% 14% 40% 44%
22 ZHANG Matthew 1% 5% 17% 32% 30% 14% 2%
23 CHAN Ian - - - 4% 20% 47% 29%
24 LAM Nicolas - 1% 9% 30% 39% 19% 2%
25 LIU William - 3% 23% 57% 15% 1%
26 RAUTUREAU Hugo - 3% 17% 37% 33% 9%
27 NGUYEN Martin - 1% 6% 23% 43% 28%
28 BIELER Mason - - 3% 29% 45% 21% 3%
29 LIU Zixian (Aaron) - 1% 6% 22% 38% 28% 5%
30 WU Alistair - 1% 8% 27% 40% 22% 2%
31 GORDON William L. 2% 14% 33% 33% 15% 3% -
32 CHOI Ethan 1% 8% 23% 33% 25% 9% 1%
33 AGRAWAL Niki - 2% 11% 29% 36% 19% 3%
34 TULYAG Azim - 5% 20% 35% 28% 10% 1%
35 LU Kevin - 2% 15% 39% 37% 8%
36 ZHANG Jacob 1% 7% 24% 38% 25% 6% -
37 SAH Steven 1% 17% 38% 32% 11% 1% -
38 WONG Evan - 2% 11% 29% 37% 19% 3%
39 DENG David 1% 6% 23% 38% 26% 6% -
40 RODRIGUEZ Tyler - - 3% 29% 44% 21% 3%
41 KUNTSEVICH Ivan I. - 1% 9% 29% 38% 20% 3%
42 PINCHENG Yao - - 5% 23% 39% 27% 5%
43 LI Samuel - - - 10% 53% 36%
44 LE Jacob H. - 2% 15% 39% 38% 6%
45 HIRAMOTO Satoshi 1% 11% 33% 39% 15% 1%
46 NOFZIGER Bennett 17% 38% 32% 12% 2% -
47 FUKUDA Brando - 3% 18% 37% 30% 10% 1%
48 PARK Steve (Sangmin) - - 4% 19% 40% 32% 5%
48 PARK Rion - - 2% 11% 35% 39% 13%
50 LI Edison M. - 7% 25% 39% 24% 5% -
51 RAUTUREAU Arthur 2% 11% 27% 33% 21% 6% 1%
52 ORNELAS Matteo - 9% 28% 36% 21% 6% 1%
53 YANG Charles - 2% 11% 31% 38% 17% 1%
53 ZHOU Ryan 2% 12% 30% 34% 18% 4% -
55 DESERANNO Leander - 1% 7% 25% 39% 24% 5%
56 WANDJI Noah - 3% 14% 32% 35% 15% 1%
57 CHUN Dashel 9% 31% 36% 19% 4% - -
58 BORG Matthew 6% 25% 38% 24% 7% 1%
59 LI Richard 2% 17% 42% 30% 8% 1%
60 KIM Daniel Y. - 5% 22% 39% 27% 6%
61 DUNLAP Ezra - 5% 21% 37% 28% 8%
62 CHANG Eric Jonathan 6% 22% 34% 26% 10% 2% -
63 NGAI Julian 3% 15% 35% 33% 13% 2%
64 ZHANG Raphael 1% 11% 30% 35% 18% 4% -
65 ZHAN Kevin - 8% 29% 41% 19% 3% -
66 TSAY Jordan R. - 1% 6% 22% 37% 27% 7%
67 SISINNI Leonardo 9% 34% 38% 16% 2% -
68 YU ZiRun (Kinton) 2% 12% 31% 35% 16% 3% -
69 TSOI Spencer 4% 20% 35% 29% 11% 2% -
69 BAE Eugene 3% 26% 39% 24% 7% 1% -
71 YUE Jackson 1% 9% 32% 37% 18% 3% -
72 CHEN Owen 34% 42% 20% 4% - - -
73 ONG Nicholas 14% 37% 34% 13% 2% -
74 DANIEL Nikith 11% 39% 36% 12% 1% -
75 ZHANG Max 13% 43% 38% 6% - -
76 CHEN Matthew 13% 37% 35% 13% 2% -
77 ZHANG Jayden 4% 21% 36% 28% 10% 1% -
78 CHANG Nathan 5% 27% 39% 23% 6% - -
78 KIM Jonah 9% 33% 36% 18% 4% - -
80 LEE Jayden J. 2% 22% 39% 27% 8% 1% -
81 CHAN Joseph 2% 14% 32% 33% 16% 3% -
82 CHOI Benjamin - 7% 27% 38% 23% 5% -
83 NG Andrew 1% 17% 37% 31% 11% 2% -
84 CHANG Jeremy - 3% 14% 32% 35% 15% 1%
85 UPENDER West 4% 27% 41% 22% 5% - -
86 REID Wesley 27% 50% 21% 2% - - -
87 FLANAGAN Miles 6% 27% 40% 22% 4% -
88 FOY Grant 38% 45% 15% 1% - -
89 TOYOFUKU Ethan 17% 38% 32% 11% 2% - -
90 PARK David 9% 30% 37% 19% 4% - -
91 LEHTINEN Axel 15% 46% 30% 8% 1% - -
92 PETROV Mikhail 13% 36% 34% 14% 3% - -
92 WONG Braxton - 7% 27% 37% 22% 6% 1%
94 ZHU Randy 38% 47% 14% 1% - - -
95 KIM Andrew 4% 27% 41% 23% 5% - -
95 ZHANG Graham 10% 30% 34% 20% 6% 1% -
97 LOZANO Veyron Jericho 2% 14% 32% 32% 16% 3% -
98 BOYNTON Alex 53% 38% 9% 1% - - -
99 WU Thomas 8% 30% 37% 20% 4% - -
100 PEZESHKI Oliver 51% 38% 10% 1% - - -
101 CHEN David 37% 43% 17% 3% - -
102 HE Bourne 34% 41% 19% 4% - - -
103 NISHIHIRA Tyler 15% 37% 33% 12% 2% -
103 PARK William 14% 36% 34% 14% 2% -
105 CHANG Jonathan 3% 14% 30% 32% 17% 5% -
105 SUN Neo 68% 28% 4% - - - -
107 FU Bryan 16% 46% 33% 5% - -
108 WILLEY Emerson 46% 41% 12% 1% - -
109 PORPORA Oliver 19% 40% 30% 10% 1% - -
110 ZHONG Maxwell 36% 42% 18% 3% - - -
111 ANDRADE Cedric 8% 37% 48% 8% - - -
112 BANUELOS Dario 54% 38% 7% 1% - - -
113 LIANG Ethan 73% 24% 3% - - - -
113 WONG Jayden 8% 34% 40% 16% 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.