Fortune Fencing ROC(DV1A, DV2, VET), RJCC

Div I-A Men's Épée

Sunday, April 9, 2023 at 3:00 PM

Ontario Convention Center - Hall A & B - Ontario, 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 SODERBERG Alex Z. - - 3% 18% 45% 35%
2 LO Jake - 1% 6% 19% 34% 30% 10%
3 KIM Benjamin I. - 3% 14% 34% 36% 13%
3 SINGHA Orion - - 3% 14% 32% 35% 15%
5 GALLO James - 1% 10% 31% 37% 18% 3%
6 ZHU Zimo - - 4% 21% 44% 30%
7 WESTPHAL David R. - - 3% 12% 30% 37% 18%
8 MOSES Alexander - - 3% 16% 41% 35% 6%
9 SHEPARD Trevor S. - - 1% 8% 34% 57%
10 KIM Nathan - 2% 11% 28% 35% 20% 4%
11 YAO Derek (Shunyu) 1% 9% 28% 36% 21% 6% 1%
12 WATT Darren 1% 10% 28% 35% 21% 5% -
13 CHIEN Brandon - - 1% 9% 28% 41% 21%
14 WONG Chi Ho 1% 9% 30% 38% 19% 2%
15 CUMMINGS Atticus C. - - - 4% 19% 42% 34%
16 ZONE Liam - 1% 9% 26% 37% 23% 4%
17 JEON Alexander E. - - 1% 8% 27% 42% 22%
18 LIN Kyran - 2% 12% 28% 34% 20% 4%
19 MA Victor 1% 9% 27% 34% 21% 7% 1%
20 ZHENG Haoran - 3% 16% 36% 35% 10%
21 BRISLAWN Reilly R. - 1% 7% 27% 45% 21%
22 BOYCE Samuel H. - 1% 7% 24% 42% 26%
23 PAK Elliot 1% 10% 28% 34% 21% 6% 1%
24 LIPTON Jason S. - - 3% 13% 30% 36% 17%
25 POLAKOSKI David R. - - 3% 17% 39% 33% 8%
26 VENET Téva 2% 13% 29% 32% 18% 5% 1%
27 ULINICH Alexander - 2% 11% 29% 35% 19% 4%
28 STRAUSS Luke 1% 10% 31% 37% 18% 3%
29 ZHOU Stanley Q. 3% 17% 35% 32% 12% 1%
30 KIM Darius H. 1% 10% 29% 35% 20% 5% -
31 STEPHAN Jens - - - < 1% 8% 39% 52%
32 DEKERMANJI Christopher 2% 15% 36% 33% 12% 1%
33 NORBUTAS Jackson S. - - - 2% 14% 40% 44%
34 CHRISTENSEN Parker 1% 11% 32% 35% 17% 4% -
35 YAMASAKI Kyle A. - - 2% 14% 41% 42%
36 MCDANIELS Jeremy - 1% 11% 32% 40% 16%
37 MCADOO Declan 2% 14% 31% 32% 16% 4% -
38 JIN Nicholas - - 2% 14% 35% 36% 13%
39 JIN Daniel - 1% 5% 19% 35% 31% 10%
40 MADSEN Jr Eric W. - 2% 11% 28% 35% 20% 4%
40 FU Leon - 4% 17% 34% 31% 13% 2%
42 CHU Allan 1% 8% 25% 35% 23% 7% 1%
43 FOWLER James A. - - 1% 7% 27% 42% 23%
44 JU Hanul 24% 43% 26% 7% 1% - -
45 KIM Sterling S. 3% 16% 34% 32% 13% 2%
46 ZAYDMAN David M. 1% 11% 33% 37% 16% 2%
47 LOGUE Ethan D. 1% 6% 22% 36% 26% 8% 1%
48 SMITH Justin C. - - 5% 23% 39% 26% 6%
49 ROBITZSKI Daniel A. - - 4% 18% 36% 32% 9%
50 JONES Caleb 2% 12% 34% 37% 14% 2% -
51 GAO Chaney C. - 3% 14% 31% 32% 16% 3%
52 MENDOZA Zachari 2% 12% 28% 32% 19% 6% 1%
53 PERKINS-OLLILA Justin W. 1% 10% 28% 34% 20% 6% 1%
54 KNUDSEN Travis 19% 40% 30% 10% 1% -
55 KIM Sullivan 2% 17% 39% 32% 10% 1%
56 MUNOZ Humberto - 3% 14% 32% 34% 15% 2%
57 CHEN Bailey 7% 29% 39% 20% 4% - -
58 PARKER Lane S. - 3% 13% 30% 33% 18% 4%
59 FAN Beichen 1% 7% 24% 35% 25% 8% 1%
60 LIU Yikun 14% 39% 34% 12% 2% - -
61 LEE Chun Po 2% 20% 38% 29% 10% 2% -
62 UVAROV Andrii 1% 14% 37% 35% 12% 1%
63 CHOI San 24% 44% 25% 6% 1% -
64 ZHANG Alec 1% 6% 20% 34% 27% 11% 2%
65 WANG owen 7% 35% 39% 16% 3% -
66 HELGE James R. - - 3% 14% 32% 35% 15%
67 DAO Alexander 10% 30% 34% 19% 6% 1% -
68 GIOVAGNOLI Nolan 21% 42% 28% 8% 1% -
69 GREGER Jack 12% 35% 35% 15% 3% -
70 SINHA Zaan 23% 43% 26% 7% 1% -
71 ZHUANG William 15% 39% 32% 12% 2% - -
72 HILLSTROM Nathan 4% 23% 37% 26% 9% 2% -
73 YU Austin 9% 34% 39% 15% 3% - -
74 CLAWSON Brian C. 1% 8% 25% 34% 24% 8% 1%
75 GU Aidan 13% 39% 35% 11% 2% - -
76 GREEN Jake L. 1% 6% 22% 35% 26% 9% 1%
77 KENT V David 15% 37% 33% 13% 2% -
78 PALACIOS Justin M. 1% 8% 28% 39% 21% 2%
79 KURITZ Marc M. 3% 18% 35% 31% 12% 2%
80 CROSSMAN Brandon 17% 38% 31% 11% 2% -
81 LEE Bryson 17% 38% 31% 12% 2% - -
82 KIM Taeho 28% 42% 23% 6% 1% - -
83 MIAO KUNQI 13% 36% 34% 15% 3% - -
84 TODD Glenn 8% 28% 35% 21% 7% 1% -
85 LI zerong 35% 44% 18% 3% - - -
86 GENCHEV Madav 58% 33% 8% 1% - - -
87 HEWITT Frank F. 5% 22% 37% 27% 8% 1%
87 PRAKASH Hari 53% 37% 9% 1% - -
89 CHAO Warren 29% 43% 23% 5% 1% - -
90 BRAHMBHATT Krishna 69% 26% 4% - - - -
91 BRECHTEL James 24% 43% 25% 6% 1% -
92 PAINTER Noah 53% 36% 9% 1% - - -
93 LEE Richard U. 18% 38% 30% 11% 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.