Fortune Fencing SYC/RCC

Y-14 Men's Épée

Saturday, March 19, 2022 at 4:00 PM

Ontario Convention Center - Hall B - Ontario, 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 LO Jake - - 1% 7% 27% 44% 23%
2 DAVOODIAN Christopher - - 1% 7% 24% 42% 26%
3 LIN Kyran - - - - 4% 26% 70%
3 FU Leon - - 2% 10% 28% 39% 21%
5 ZHENG Haoran - - - - 4% 27% 69%
6 KIM Nathan - - - 5% 24% 44% 26%
7 DOWDELL Riley - - 2% 13% 37% 37% 10%
8 RICHARDS Jackson D. - - 2% 12% 33% 38% 15%
9 WANG Devon - - - 1% 6% 34% 59%
10 KIM Sullivan - 1% 8% 23% 35% 25% 7%
11 CHIRASHNYA Daniel - - 3% 12% 30% 37% 18%
12 DRIBIN Ezra - - 1% 7% 27% 43% 23%
13 MULCAHY Olaf - - 1% 9% 31% 41% 17%
14 QUITORIANO Matthew - - 4% 18% 35% 32% 10%
15 GINZBURG Adam 6% 23% 35% 25% 9% 1% -
16 SINHA Zaan - 2% 11% 27% 34% 21% 5%
17 LEE Inwoo - 2% 12% 29% 33% 19% 4%
18 BAZHENOV Anthony - - 3% 17% 37% 33% 10%
19 GAO Chaney C. - - 3% 15% 37% 38% 8%
20 CASTELLY Luke - 1% 6% 19% 33% 30% 11%
21 DAO Alexander 2% 10% 24% 32% 23% 8% 1%
22 KNUDSEN Travis - 2% 9% 24% 35% 24% 6%
23 CHOI Kaiden I. - 1% 10% 29% 37% 20% 3%
24 CHEN Bailey - 1% 5% 23% 41% 25% 5%
25 ZHU Eric - - 3% 15% 32% 35% 15%
26 GAO Zachary 1% 9% 23% 32% 24% 9% 1%
27 HIGGINS Calvin 2% 15% 33% 33% 14% 3% -
28 KIM Jayden - 3% 15% 32% 32% 15% 3%
29 BARG Jonathan - - 4% 19% 38% 30% 8%
30 LOFTUS Luca 1% 7% 22% 33% 26% 10% 2%
31 TANDOC Noah 25% 42% 25% 7% 1% - -
32 FERRIERE Joshua < 1% 2% 11% 26% 33% 21% 5%
33 OBERDERFER Vladimir 2% 12% 29% 32% 19% 5% 1%
34 KIM Ian - 4% 18% 34% 30% 12% 2%
35 WANG Owen - - 2% 12% 33% 38% 15%
36 PAK Elliot - 2% 10% 27% 34% 22% 5%
37 LIU Yikun 2% 15% 37% 33% 11% 1% -
38 PRAKASH Hari - 2% 10% 29% 37% 20% 2%
39 JU Hanul 1% 7% 24% 37% 24% 7% 1%
40 HOGE William P. - 5% 21% 35% 27% 10% 1%
41 MIAO Kunqi 1% 14% 34% 33% 14% 3% -
42 MEHROTRA Neel - 4% 18% 34% 31% 12% 1%
43 CHEN Zhengyang - - 4% 15% 33% 34% 13%
43 DONAHUE Lake 1% 8% 25% 35% 24% 8% 1%
45 KAO Yishane - - 1% 6% 26% 44% 22%
46 VILLALOBOSKOWALSKI Demetrious C. 4% 22% 38% 27% 8% 1% -
47 XIONG Aaron 5% 19% 32% 28% 13% 3% -
48 HERNDON Liam 2% 13% 32% 33% 16% 3% -
49 MENDOZA Zander 2% 13% 30% 32% 18% 5% 1%
50 YU Austin 8% 26% 34% 22% 8% 1% -
51 CHEN Josh 19% 38% 29% 11% 2% - -
52 SU Oliver 1% 8% 24% 34% 25% 8% 1%
53 SEO Shawn 2% 12% 28% 33% 19% 5% 1%
54 KIM Teddy 3% 18% 36% 31% 11% 2% -
55 MORALES Esteban 6% 24% 37% 25% 7% 1% -
56 RAHMAN Yousef 18% 41% 30% 10% 2% - -
57 HALL Gabriel 2% 13% 31% 33% 17% 4% -
58 DE LA TORRE PEREZ Jesus Adiel 1% 8% 24% 33% 24% 9% 1%
59 CHANG Andrew 8% 28% 35% 21% 6% 1% -
60 MAJAM Brandon Audie 4% 20% 35% 29% 11% 2% -
61 LIANG Eric 13% 37% 34% 13% 2% - -
62 TUSANTOSO McKenzie - 3% 17% 35% 32% 11% 1%
63 LAU Christian 8% 29% 38% 20% 5% - -
64 ARMITAGE Liam 15% 38% 33% 12% 2% - -
65 MARTIN Charles 2% 10% 27% 34% 21% 6% -
66 NUGENT Jack 2% 15% 35% 33% 12% 2% -
67 DENISON Declan 1% 6% 21% 34% 27% 10% 1%
68 OLSON christopher 1% 6% 20% 33% 28% 12% 2%
69 TAI Edison - 4% 17% 35% 32% 11% 1%
70 MAXU Tiger 4% 20% 38% 28% 9% 1% -
71 NG Biwon 5% 24% 38% 25% 7% 1% -
72 LI zerong 12% 35% 35% 15% 3% - -
73 LEE JiYuen 20% 41% 29% 9% 1% - -
74 WANG Joey - 2% 12% 29% 34% 19% 4%
75 HINTON Evan 11% 32% 34% 17% 4% 1% -
76 ANDERSON Kai 1% 7% 25% 36% 24% 7% 1%
77 LEE Damien 12% 34% 34% 16% 4% - -
78 JAIN Samyak 2% 15% 35% 33% 13% 2% -
79 GOROZA Eric 28% 43% 23% 5% - - -
80 LIU Yueri 1% 10% 27% 34% 21% 6% 1%
80 SIM Ian 25% 42% 26% 7% 1% - -
80 KIM Justin 2% 12% 27% 31% 20% 6% 1%
83 PERKINS Jaray 27% 41% 24% 7% 1% - -
84 ABELAR Jacob 3% 18% 36% 31% 11% 1% -
85 GUO Woody 36% 42% 18% 3% - - -
86 RAHMAN Zayd 44% 40% 14% 2% - - -
87 KIM Remington 36% 45% 17% 3% - - -
88 BAXTER Max 29% 44% 22% 5% 1% - -
89 RODRIGUEZ Ripley 7% 32% 38% 19% 4% - -
90 CHANG Benjamin 6% 27% 38% 22% 6% 1% -
91 LEE Aidan 3% 17% 33% 31% 14% 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.