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.

Cherry Blossom ROC

Div I-A Men's Épée

Sunday, March 19, 2023 at 9:00 AM

University of Maryland, Reckord Armory - College Park, MD, 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 MAZUR Daniil - - - - 3% 28% 70%
2 PARK Ian C. - - - 4% 21% 43% 32%
3 NORTH Alexander M. - - - 5% 26% 55% 14%
3 WOLFE Alex - 3% 14% 34% 36% 14%
5 CHEN Eric - - 1% 8% 27% 42% 22%
6 SHAH S Ayush - - - 2% 17% 54% 28%
7 HRAPSKY Ryan J. - - 2% 12% 40% 46%
8 SU Caleb - - 1% 8% 27% 41% 22%
9 TABLEMAN Doug S. - - - 3% 18% 44% 36%
10 CLICK Aiden - - - 3% 16% 42% 38%
11 SHELANSKI Isaac - - - - 5% 31% 64%
12 CAI Brian - 5% 21% 37% 28% 8%
13 HEADRICK Lance 1% 9% 27% 37% 22% 5% < 1%
14 NOWAK Jakub P. - - - 4% 24% 47% 24%
15 LI Benjamin - 1% 7% 22% 37% 27% 7%
16 SHEN Max 1% 7% 26% 39% 23% 4%
17 KHANNA Nikhil 1% 7% 24% 37% 25% 6%
18 CULPEPPER John (JR) R. - - - - 8% 43% 49%
19 TRIMMER Colin - 3% 14% 30% 33% 17% 3%
20 HANSEN Lars - - 4% 22% 41% 29% 4%
21 NORTH Gary S. - - - 1% 10% 37% 52%
22 CAO Albert 1% 11% 29% 36% 19% 4%
23 JEYOON Ryan S. - - 4% 20% 44% 33%
24 SINGH Aryaman 8% 30% 39% 20% 4% -
25 HENSAL Nicolas A. - - 1% 6% 25% 44% 25%
26 GOHEL Dayus T. - - 2% 13% 33% 37% 14%
27 WOODLEY Colin - - - 3% 18% 45% 34%
28 VELINOV Gabriel - 2% 11% 31% 39% 16% 1%
29 SAKO Ayrton J. 1% 7% 29% 40% 19% 3% -
30 WOZNIAK Fryderyk - 1% 16% 42% 32% 7% -
31 KIM Dylan J. - - 1% 9% 33% 42% 15%
32 CARTER Austin L. - - 5% 22% 42% 26% 5%
33 JOVANOVIC Jovan - - - 3% 18% 45% 35%
34 FU Leon - - 6% 25% 40% 25% 5%
35 ZHANG Caden - - 10% 36% 40% 13% 1%
36 DEUCHER Joseph H. - - - 2% 18% 48% 31%
37 HU Robert J. 7% 34% 40% 17% 3% < 1% -
38 ELLINGTON Keegan A. - 1% 6% 25% 43% 23% 4%
39 SHREM Samuel G. - 1% 9% 28% 38% 21% 4%
40 MURPHY Thomas P. - 2% 13% 35% 37% 13%
41 BROWN Joshua (Josh) A. - 3% 14% 34% 36% 13%
42 SIVAKUMAR Ajit - - - 2% 15% 47% 36%
43 CHEN Wesley - - 3% 16% 36% 34% 11%
44 ROTHKA Spencer J. 7% 27% 36% 22% 6% 1% -
45 MCDANIELS Jeremy - - - 4% 22% 45% 28%
46 FULLER George K. - - 4% 16% 35% 34% 12%
47 MEGGERS Davin 3% 18% 37% 31% 10% 1% -
48 OLIVERIUS Joseph W. - - 1% 8% 30% 43% 18%
49 SWANSON Lars M. - - 4% 21% 39% 29% 6%
50 CHEN Brian 1% 9% 29% 36% 19% 5% -
51 JORDAN Anton - 5% 21% 40% 28% 6%
52 HILBERT Gabriel E. 1% 9% 28% 37% 21% 4%
53 TIRRELL Justin J. - 5% 21% 39% 29% 6%
54 KIM Ethan J. - - 1% 11% 35% 43% 10%
55 STEPHENS Corbin - 13% 40% 37% 9% 1% -
56 LEE Aiden 3% 37% 43% 16% 2% - -
57 HUGHES Michael D. - 3% 16% 34% 33% 12% 1%
58 WHEELER Daniel - - 4% 21% 41% 28% 6%
59 LE BORGNE Matthieu 3% 18% 40% 30% 9% 1% -
60 USDIN Anton 1% 7% 28% 40% 20% 4% -
61 SWENSON Keane J. - 2% 11% 31% 38% 18%
62 AMOLSCH Dylan 32% 42% 21% 5% 1% -
63 NIKOLOV Peter 1% 8% 26% 37% 23% 5%
64 KIM Jeff 11% 34% 35% 16% 3% - -
65 CAO Brad - 8% 28% 37% 21% 5% -
66 SNIDER Jeffrey H. - - 5% 27% 49% 17% 2%
67 TAMULONIS Fen C. 3% 18% 38% 30% 10% 1%
67 MAROCHNIK Daniel 12% 36% 34% 15% 3% -
69 COHEN Jared E. - 2% 12% 31% 38% 17%
70 HARDY Tristan L. - 1% 8% 28% 40% 20% 2%
71 HERZ Alexander S. 9% 32% 37% 18% 4% - -
72 WALTHER Bryan M. - 1% 11% 33% 37% 16% 2%
73 FISHMAN Rahm 3% 19% 37% 30% 10% 1% -
74 DISIMONE David Z. - 4% 20% 37% 28% 9% 1%
75 MURRAY-GRAMLICH Robert 1% 12% 37% 35% 13% 2% -
76 KWOUN Miles S. 1% 8% 27% 40% 20% 4% -
77 LEE JoonWon 4% 21% 36% 28% 10% 1%
78 OTTO Nathaniel B. 26% 41% 25% 7% 1% -
79 ROTONDI Gregory V. - 4% 17% 34% 33% 12%
80 MODANLOU Navid 12% 46% 33% 9% 1% - -
81 ABBOUD Michael 1% 7% 27% 37% 22% 6% -
82 ZHANG Sen 4% 25% 42% 23% 6% 1% -
83 ZIMINSKY Karel M. - 9% 44% 36% 10% 1% -
84 BERNARD Jack B. 4% 21% 37% 28% 8% 1% -
85 HUTZ Michael B. 15% 39% 33% 11% 1% - -
86 BANNEN Nicholas 16% 42% 31% 10% 1% - -
87 SHAFRITZ Noah 14% 35% 33% 14% 3% - -
88 SAUNIER Cameron 15% 38% 33% 12% 2% - -
89 MARSH Alex 26% 42% 25% 7% 1% - -
90 PAN Colin 6% 26% 37% 23% 7% 1%
91 WANG Clayton 5% 23% 37% 26% 9% 1%
92 ILYAS Zakariya 19% 41% 30% 9% 1% -
93 NANCE Jonathan W. 17% 41% 31% 10% 1% -
94 TOMASZEWSKI Joshua 5% 21% 35% 28% 10% 2% -
95 MILLSON Daniel 19% 42% 30% 8% 1% - -
96 SO Lorenzo 5% 23% 36% 26% 8% 1% -
97 WANG Aiden 50% 43% 7% - - - -
98 WU Shaochi 33% 43% 20% 4% - - -
99 ALI Farhan 13% 37% 35% 12% 2% - -
100 SEID Zachary W. 18% 39% 31% 11% 2% - -
101 O'REILLY Robert 19% 61% 18% 2% - - -
102 PETROW Zoryan 4% 25% 42% 24% 5% - -
103 MARKOWITZ William M. 2% 14% 34% 34% 14% 2% -
104 WOODLEY George 10% 32% 36% 18% 4% - -
105 GAUVEY Ken C. 1% 7% 26% 39% 24% 4% -
106 EVANS Allen L. 5% 23% 37% 26% 8% 1% -
107 MARTINEZ Joshua - 14% 42% 35% 8% 1% -
108 PALAMARCHUK Matthew 14% 37% 33% 13% 2% - -
109 BUI Ryan 57% 35% 7% 1% - - -
110 HULL Liam 33% 44% 19% 3% - -
110 DAN Rex 32% 42% 21% 5% 1% -
112 BUCCELLATO Joel S. 6% 25% 37% 25% 7% 1%
113 LENZ Carter 49% 39% 11% 1% - - -
114 ALI Adam 18% 40% 31% 10% 1% -
115 MORET Eric N. 19% 48% 27% 6% 1% - -
116 DAN Chuntao 8% 40% 38% 12% 2% - -
116 WATERS Nathaniel 88% 12% - - - - -
116 FORAIDA Khalid 55% 36% 8% 1% - - -
116 WATSON Raymond 9% 31% 36% 19% 5% 1% -
120 KANG JUNWOO 16% 39% 33% 11% 1% - -
121 GIAMPETRO Nicholas 69% 29% 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.