Battle of the Bay DIV1A ROC

Div I-A Men's Épée

Saturday, February 1, 2020 at 1:00 PM

San Jose, CA - San Jose, 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 YAMASAKI Kyle A. - - - 2% 13% 41% 45%
2 NGUYEN Ethan D. - - - - 1% 14% 85%
3 ARIETA Ryan T. - - - 3% 20% 46% 32%
3 KULIGOWSKI Bartosz - - 2% 12% 33% 39% 14%
5 DESOUZA Hansel S. - 1% 9% 27% 36% 22% 5%
6 MIELE Benjamin - - - 3% 18% 43% 35%
7 JOHNSON Lucas W. - 2% 10% 29% 39% 20%
8 LEI Jacob - 1% 6% 22% 35% 28% 8%
9 KIM PAUL - - 4% 16% 35% 34% 11%
10 SUVOROV Yuly - - 1% 6% 23% 42% 29%
11 ALLGEIER Peter - 2% 10% 26% 35% 22% 5%
11 LEVY Zachari I. - - 1% 8% 26% 41% 24%
13 SHIREY Daniel L. - - 4% 18% 38% 31% 7%
14 WONG Nicholas A. 2% 12% 28% 33% 19% 5% 1%
15 HABIB Farooq - - 7% 26% 37% 23% 5%
16 JIN Nicholas - 1% 5% 20% 40% 29% 6%
17 CAI Kevin P. - 2% 11% 28% 34% 20% 5%
18 NG Alexander M. 2% 12% 26% 31% 21% 7% 1%
19 MENEGOLI Lorenzo - - 1% 10% 34% 42% 14%
20 SHARMA Sanil - 1% 10% 27% 35% 22% 5%
21 SMITH Justin C. - - - 3% 15% 40% 43%
22 MATTIS George 2% 11% 28% 33% 20% 6% 1%
23 GARRETT Samuel - 3% 14% 31% 34% 17% 3%
24 SHUR Yakov C. 1% 6% 22% 36% 28% 8%
25 DE JONG Thijmen J. - 2% 9% 24% 34% 25% 7%
26 GREEN Ummi - 3% 15% 33% 32% 14% 2%
27 LOGUE Ethan D. 1% 5% 16% 29% 30% 16% 4%
28 BOYCE Samuel H. - - 4% 19% 43% 34%
29 GREEN Jabreel - 1% 8% 25% 36% 24% 6%
30 DESSAUER Tobyn M. - 9% 29% 36% 20% 5% 1%
31 HELGE James R. - - 3% 15% 33% 35% 14%
32 WISOFF Jeffrey - 1% 6% 19% 34% 30% 10%
33 KILUK Andrew - 2% 12% 32% 37% 17% 1%
34 LIANG Aaron - - 4% 17% 34% 32% 11%
35 LOUIE Jason 1% 11% 29% 34% 19% 5% 1%
36 SIVAGAR Leo - 4% 20% 38% 30% 8%
37 NGUYEN Steven - 2% 11% 29% 35% 19% 4%
38 BRUCE II Ommer E. - 6% 22% 37% 27% 7% -
39 ROOD Alex - 5% 22% 40% 28% 6%
40 VELUVALI Vivek S. 12% 34% 34% 16% 4% -
41 WRIGHT Christopher - 4% 17% 33% 31% 13% 2%
42 DYER Carson C. 5% 24% 37% 25% 8% 1% -
43 KAUFMAN Joel H. - 4% 16% 32% 31% 14% 2%
44 WEAVER Neil 1% 9% 24% 32% 23% 9% 1%
45 SLOAN Ryan 6% 21% 33% 26% 12% 3% -
46 BECK Brian C. 1% 13% 35% 34% 14% 2% -
47 MAYCHROWITZ Matt - 5% 22% 38% 27% 8% 1%
48 JOSEPH William 3% 17% 35% 31% 11% 2% -
49 CHON Joshua 1% 17% 39% 31% 10% 1%
50 RAJPAL Sartaj S. 1% 11% 29% 36% 20% 4%
51 ZIEBART Jeremy J. - 3% 26% 42% 24% 5% -
52 AU Marcus J. 1% 6% 19% 31% 27% 13% 2%
53 PERKA Michael - 2% 9% 25% 35% 23% 6%
54 LEVITSKY Jonathan 6% 26% 37% 23% 6% 1% -
54 LUCERO-OLSON Aydin 1% 5% 17% 30% 29% 15% 3%
56 ZAYDMAN David M. 9% 30% 37% 19% 4% - -
57 KUO Elvin - 3% 17% 35% 33% 12% -
58 SMITH Zane A. 5% 22% 34% 26% 10% 2% -
59 MILEY Nick N. 18% 39% 30% 11% 2% - -
60 PARK Elliot 18% 38% 31% 12% 2% -
61 ALVAREZ Ian T. 4% 33% 39% 19% 5% 1% -
62 WICKBOLDT Eric - 17% 37% 31% 13% 2% -
63 BARAFF David 13% 34% 34% 16% 4% - -
64 GNERRE Sante 37% 41% 18% 4% - - -
65 TORVINEN Trevor J. - 1% 10% 29% 37% 20% 4%
66 KIM Benjamin I. - 6% 24% 36% 25% 8% 1%
67 ZHUANG William 13% 33% 34% 16% 4% - -
68 RYAN Christopher 4% 29% 40% 22% 5% -
69 MA Victor 5% 22% 35% 26% 10% 2% -
70 WILLIS Alan T. 2% 28% 41% 23% 6% 1% -
71 ZHANG Alec 2% 12% 26% 31% 20% 7% 1%
72 LEONARDINI Barry M. 14% 40% 32% 11% 2% - -
73 ROUSE Joseph (Joe) T. 2% 13% 33% 33% 15% 3% -
73 ATHAVALE Pranav 1% 9% 28% 37% 21% 5% -
75 DYER CJ - 3% 25% 42% 25% 5% -
76 DOWNEY Gerard C. 3% 16% 34% 31% 13% 2%
77 QUIROGA Kyle 66% 29% 4% - - -
78 RYAN Seth C. - 2% 14% 34% 34% 13% 2%
79 WONG Nathan 1% 10% 27% 34% 21% 6% 1%
80 BAGCHI Aritra 2% 15% 33% 32% 15% 3% -
81 BEITTEL David F. 23% 39% 27% 9% 2% - -
82 BURLING Trenor 68% 29% 3% - - - -
83 PATERSON Owen 81% 17% 1% - - - -
84 ZHANG Andrew 18% 62% 18% 2% - - -
85 LIPTON Michael D. 16% 37% 31% 13% 3% - -
86 ZANKOWSKI Brendan 36% 43% 17% 3% - - -
87 HASAN Raamis 79% 20% 2% - - - -
88 GUPTA Karan 21% 41% 28% 9% 1% - -
89 WANG Andrew 97% 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.