The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

Neil Lazar Div1A/Div2/Veteran ROC

Div I-A Men's Foil

Sunday, November 19, 2023 at 8:00 AM

NYA Sports and Fitness Center - Newtown, CT, 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 HASSAN Mohamed H. - - - - - 7% 93%
2 WELCH Kyle J. - - - 3% 33% 64%
3 ZOBEL Eric H. - - - 3% 15% 41% 41%
3 ROSE Ben - - - 6% 25% 43% 26%
5 MCCLAIN Bryce C. - - - - 7% 41% 51%
6 TRAUGOT Owen G. - - 2% 10% 30% 39% 19%
7 YU Vinni - - - 2% 12% 39% 48%
8 HAN Changhee - - 3% 17% 38% 33% 9%
9 SIMA Congyu Josh - 1% 7% 24% 38% 25% 5%
10 HE Xiangrui - - 3% 14% 34% 36% 13%
11 LIN Michael - - 4% 19% 37% 30% 9%
12 LI Eric - - - 3% 19% 53% 26%
13 KLOTZ Isaiah - 1% 9% 27% 38% 21% 4%
14 TAHOUN Mostafa - 1% 8% 26% 38% 23% 5%
15 TEMPLE Jackson - - 1% 9% 28% 40% 21%
16 LANG Dong Lin - 1% 10% 30% 36% 19% 4%
17 TOLBA Abdelrahman - - - 5% 23% 45% 27%
18 ZHAI Jeffrey - - 1% 7% 26% 43% 24%
19 PO Oliver - - 3% 14% 33% 36% 14%
20 LEE Jonah - 4% 20% 37% 29% 9% 1%
21 LIN James G. - - 1% 10% 33% 44% 12%
22 BADLANI Dev - 1% 11% 34% 39% 15% -
23 MATSAKH Philip - - 2% 13% 36% 37% 12%
24 WANG Mason - 6% 25% 38% 24% 6% 1%
25 TAN Aidan - 3% 19% 40% 29% 9% 1%
26 MILLER Jordan - 7% 28% 39% 22% 4% -
27 RADOSLAVOV Ivan-Asen - 15% 36% 33% 13% 2% -
28 GRIGORIEV Eduard - - - 1% 8% 36% 55%
29 SCHLESINGER Nathan - - 1% 6% 25% 44% 24%
30 YAO Bradley 4% 22% 37% 27% 9% 1% -
31 CHEN Kyle P. 2% 26% 42% 23% 6% 1% -
32 LEE Eugene - 10% 39% 36% 13% 2% -
33 POPESCU Tudor 2% 12% 31% 34% 17% 4% -
34 MAGIDSON Gabriel - - - 5% 25% 45% 25%
35 AHN Jun - - 2% 20% 58% 20%
36 LIGOS alex M. - 5% 26% 40% 24% 5% -
37 DOCTOR Aidan L. - 1% 9% 28% 37% 21% 4%
38 HU Robin - - 6% 27% 41% 21% 4%
39 TANG Albert - 1% 11% 35% 39% 14% -
40 O'BRIEN Jack K. - - 1% 8% 27% 41% 23%
41 AKYAMAC Bora - 6% 32% 48% 13% 1%
42 ARCE Andrew W. 2% 24% 41% 26% 7% - -
43 YOON Dylan - 1% 9% 27% 37% 22% 5%
44 DOBBINS Evan W. - - 1% 6% 24% 43% 26%
45 AUGUSTINE Aaron A. - 3% 13% 31% 35% 16% 2%
46 JIANG Owen - - 6% 27% 43% 23% 1%
47 LEE Brendan - 5% 20% 35% 28% 10% 1%
48 KALIPERSAD Neil A. - 9% 31% 39% 19% 2% -
49 XU Ethan 9% 30% 36% 20% 5% 1% -
50 LI Matthew - - 1% 9% 30% 41% 18%
51 PETERSON Dale 9% 31% 36% 19% 4% - -
52 WU DING-JUN 1% 7% 23% 34% 25% 8% 1%
53 WU Dawei - 3% 21% 39% 29% 8% 1%
54 TANG August L. - 2% 14% 33% 33% 15% 2%
55 PITERBARG Maxim 1% 7% 24% 37% 24% 7% 1%
56 TJON Calum 32% 42% 21% 5% 1% - -
57 LEE Jason N. - 2% 10% 26% 36% 22% 4%
58 SONG Noel - 4% 21% 37% 28% 9% 1%
59 LI Ayren 6% 28% 39% 22% 6% 1% -
60 KAPOOR Aayan 1% 15% 42% 32% 9% 1% -
61 BRAIZINHA Thomas 7% 31% 38% 19% 4% - -
61 KONG Luculentus X. - 9% 31% 38% 18% 2% -
63 CHO Xzander 13% 48% 31% 7% 1% - -
64 FLANAGAN James 1% 10% 31% 38% 18% 2% -
65 MILLER Andrew - 3% 19% 40% 30% 8% 1%
66 SHAPIRO Leon 2% 20% 49% 26% 3% -
67 TAM Kyle 5% 52% 35% 8% 1% - -
68 MCLAUGHLIN Ryan 1% 16% 42% 31% 9% 1% -
68 LIU Ryan 16% 37% 32% 12% 2% - -
70 FENG Michael 9% 32% 36% 18% 4% 1% -
71 BAI Brian 26% 44% 24% 6% 1% - -
72 GE Daniel 1% 35% 42% 18% 3% - -
73 GARCIA HERNANDEZ Lucas 1% 11% 31% 35% 17% 4% -
74 WOHLERS Trevor 42% 45% 12% 1% - -
75 SURESH Rohan 28% 51% 19% 2% - -
76 TANG Alexander L. 2% 23% 41% 26% 7% 1% -
77 CHENG Ethan - 15% 36% 33% 13% 2% -
78 ABDELGAWAD Abdelrahman 1% 10% 28% 35% 20% 5% 1%
79 HAYLON Caleb 76% 21% 2% - - - -
80 VO Jonathan 48% 42% 9% 1% - - -
81 LAO Kevin 40% 42% 15% 3% - - -
82 TANG Terry 10% 31% 36% 18% 4% - -
83 AMRANI David 28% 42% 23% 6% 1% - -
84 YANG Dylan 21% 42% 28% 8% 1% - -
85 ZHENG Harrison 22% 51% 23% 4% - - -
85 CHANDRAMOHAN Aran 61% 34% 5% - - - -
85 SABATINO Patrick 93% 7% - - - - -
88 BARBANEL Joseph 80% 18% 1% - - - -
89 TESSMAN Henry 90% 9% - - - - -
90 MONTERROSO Sebastian 88% 11% - - - - -

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.