National Championships, Junior Olympic Championships & July NAC

Div III Men's Foil

Monday, July 12, 2021 at 8:15 AM

Philadelphia, PA - Philadelphia, PA, 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 LI Eric - - - 2% 15% 43% 40%
2 VERSTEELE Sander - - 2% 18% 46% 34%
3 SHIN Joshua J. - - - 2% 15% 45% 39%
3 SIMA Congyu Josh - 4% 16% 33% 31% 13% 2%
5 NUNNINK Phillip W. - - - 6% 32% 62%
6 ACHILOV Sayid - - 5% 26% 46% 23%
7 BROWN Alexander R. - - 4% 16% 33% 33% 13%
8 CORTRIGHT Joshua C. - - 3% 19% 48% 30%
9 SZEGO Bence P. - 2% 11% 30% 39% 18%
10 ORVANANOS Jorge - - 2% 9% 30% 43% 17%
11 STRAYER Andrew - 1% 7% 23% 36% 26% 7%
12 FINLEY Dylan - 2% 12% 28% 34% 19% 4%
13 BRYANT Max - - 3% 13% 32% 36% 15%
14 KUO Evan - 1% 5% 19% 35% 31% 10%
15 PATINO Yahir - 2% 10% 26% 34% 22% 6%
16 LIGH Thomas 6% 30% 39% 21% 5% -
17 GAUTAM Vishnu - 2% 11% 27% 34% 21% 5%
18 MARTIN IV Elmer D. - - 1% 8% 26% 40% 24%
19 LEE Lukas - 1% 8% 24% 36% 25% 7%
20 LIM Charles Q. - 1% 6% 20% 35% 29% 9%
21 ZEFF Mati - - 3% 19% 46% 32%
22 SODERBERG Alex Z. - - 5% 22% 42% 30%
23 MENG Zhaoyi - 1% 6% 20% 34% 29% 10%
24 DE COQUET Maximilian - 3% 17% 36% 31% 12% 2%
25 ZHAO Dylan L. - 2% 10% 28% 36% 20% 4%
26 GUTHRIE Liam J. - 4% 17% 33% 31% 13% 2%
27 JI Evan - 2% 12% 27% 34% 20% 5%
28 CANO Marcos E. - 1% 8% 23% 35% 25% 7%
29 LUNA Emilio 1% 9% 26% 35% 23% 6%
30 PRASANNA Advaith - 2% 13% 29% 33% 19% 4%
31 MONTALBINE Aidan 1% 9% 25% 34% 23% 7% 1%
32 HAN Lawrence - 6% 23% 38% 27% 6%
33 SCHULZE-KALT Graydon L. - - 1% 7% 23% 41% 28%
34 GALLUCCI Charles John - 1% 5% 19% 35% 31% 10%
35 QI Steve - 1% 9% 27% 36% 22% 5%
36 KIM Jackson - 1% 5% 17% 33% 32% 12%
36 GONG Benjamin - - 1% 8% 26% 40% 24%
38 VAZQUEZ Sebastian A. - 2% 12% 29% 33% 19% 4%
39 GOLDADE Luke A. - - - 5% 26% 47% 22%
40 HUANG Kevin D. - 5% 20% 35% 28% 10% 1%
41 JI Aidan Y. - 3% 15% 31% 32% 15% 2%
42 PITERBARG Maxim 6% 23% 35% 25% 9% 2% -
43 GOGOI Vir K. 1% 9% 25% 35% 24% 6%
44 LOVIN Vlad - 4% 21% 44% 27% 5%
45 MEJIA MATTHEW D. 1% 6% 23% 37% 26% 7%
46 KHER Roan - 2% 12% 29% 34% 19% 4%
47 WHEELOCK Bryan M. 1% 7% 23% 34% 25% 9% 1%
48 PETERSON Dale - - 1% 9% 29% 40% 20%
49 WEI William - - 2% 12% 32% 39% 16%
50 XU Mathu Yang 7% 25% 36% 24% 8% 1% -
51 KLEIN Sebastian W. - 4% 19% 36% 31% 9%
52 BOOTSMA Shane-Anson - 5% 22% 40% 29% 5%
53 LI Arvin 1% 10% 26% 35% 22% 6%
54 LIU Eric Y. 1% 10% 30% 37% 19% 3%
55 WU Conrad J. - 1% 5% 18% 35% 32% 10%
56 WECHSLER Jacob - 2% 9% 25% 34% 23% 6%
57 ZACHARY Zane 7% 32% 38% 19% 4% - -
58 BROWN Darius D. 1% 8% 24% 34% 24% 8% 1%
59 WOMACH Tristan 2% 14% 31% 32% 16% 4% -
60 LLIDO Soren 1% 6% 21% 33% 26% 10% 2%
61 ELIAS Stephen - 2% 16% 43% 31% 8% 1%
62 MILLER Jordan 1% 8% 24% 34% 24% 8% 1%
63 SANTOS Carlos R. 7% 29% 37% 21% 5% 1%
64 ORTEGA Jose-Arnel 7% 28% 36% 21% 6% 1% -
65 JIANG Owen - - 2% 13% 32% 37% 16%
66 BERNABE Rafael - 3% 14% 30% 32% 17% 3%
67 CHUNG Yeongbin - - 2% 12% 32% 38% 16%
68 SELL Ethan J. - - 4% 16% 32% 34% 14%
69 CHUFONG-SPRAGUE Matthew 1% 7% 24% 35% 24% 7% 1%
70 BLAM Matthew 22% 42% 28% 8% 1% - -
71 MADSEN Jr Eric W. 3% 16% 31% 30% 16% 4% -
72 SYOMICHEV Gleb A. - - 5% 26% 43% 22% 3%
73 NABI Masoud Masoud W. 1% 10% 29% 37% 20% 4%
74 IVANENKO Alex 8% 31% 40% 18% 2% -
75 MO Jason 2% 12% 33% 37% 15% 1%
76 HONG Issac 1% 9% 25% 35% 23% 6%
77 COLLUM Thomas 12% 36% 36% 14% 2% -
78 FURST Matthew C. - 1% 9% 25% 35% 23% 6%
78 ROSS III Paul D. 1% 7% 27% 37% 22% 6% 1%
80 DAVIDSON Elliot 2% 13% 31% 32% 17% 4% -
81 WERWA Griffith 1% 7% 24% 35% 24% 8% 1%
82 SPINA Joseph B. - 2% 13% 32% 34% 16% 3%
83 LIM Lance Jeremiah 5% 42% 42% 10% 1% - -
84 CAI Oliver K. - 1% 6% 21% 35% 28% 9%
85 SEAL Maximus R. - 2% 13% 33% 34% 15% 2%
86 MILLER Chance 2% 13% 30% 33% 18% 4% -
87 SCHALES Peyton 1% 8% 24% 33% 24% 8% 1%
88 JEFFERY Jakob 1% 8% 24% 34% 24% 9% 1%
89 PLASTARAS Trey 3% 19% 34% 28% 12% 2% -
90 PATRICK Edward L. 3% 18% 33% 29% 13% 3% -
91 GATRELL Mitchell E. - 1% 8% 23% 35% 26% 7%
92 TEH Ryan 2% 11% 28% 34% 20% 4% -
93 LI Lianhao 34% 45% 18% 2% - -
94 WOHLERS Trevor 28% 43% 24% 6% 1% -
95 POIROT Max 51% 37% 10% 1% - -
96 DALBERG Anders 5% 33% 38% 18% 4% 1% -
97 GALLER Dave 11% 32% 34% 18% 5% 1% -
98 KLYCZEK Andrew 2% 11% 28% 33% 20% 6% 1%
99 HARRIS Otto 6% 24% 35% 24% 8% 1% -
100 HAW Keith F. 10% 29% 35% 20% 6% 1% -
100 HARRIS Rhonen 6% 29% 38% 21% 5% 1% -
100 PALWAI Suhas 4% 18% 33% 29% 13% 3% -
103 TSIMMERMAN Michael 1% 8% 26% 35% 23% 7% 1%
104 WOODTHORPE Michael G. 1% 8% 23% 33% 25% 9% 1%
105 WANG Brayden 24% 40% 26% 8% 1% - -
106 TOMASI John 26% 41% 24% 7% 1% - -
107 PAEZ Joshua - - 4% 16% 34% 34% 12%
108 DURHAM Porter - - 3% 14% 32% 36% 15%
108 CURTIS William K. - 5% 20% 33% 28% 12% 2%
110 AMRANI David 13% 36% 33% 14% 3% - -
111 KLOTZ Isaiah 6% 23% 35% 25% 9% 1%
112 JIN Dennis H. 8% 31% 39% 19% 3% -
113 BOSSONG Reagan 24% 42% 26% 7% 1% -
114 GOING Nicholas (Nick) S. 3% 19% 36% 30% 11% 1%
115 PROCOPIO Gregory M. 19% 44% 30% 7% 1% -
116 ARANA Massimo 20% 38% 29% 11% 2% -
117 STOCKDALE Alexander 6% 26% 38% 23% 6% -
118 ELLINGTON Keegan A. 13% 34% 33% 16% 4% - -
119 DREW Nicolas 1% 10% 26% 33% 22% 7% 1%
119 QUINN Nathan 67% 28% 4% - - - -
121 POPE Alexander 4% 20% 35% 28% 11% 2% -
122 WIEGAND-SHAHANI Braden M. 3% 15% 31% 32% 16% 4% -
123 CUTLER Andrew 2% 13% 31% 33% 16% 4% -
124 VALENTON Timothy 2% 16% 35% 31% 13% 3% -
125 HOANG Michael 3% 30% 46% 19% 3% - -
126 LIU Lawrence 21% 39% 28% 10% 2% - -
127 LEE Alex 46% 39% 13% 2% - - -
128 FABRI Mitchell 35% 43% 18% 4% - - -
129 LA BARR Edward T. 11% 31% 34% 18% 5% 1% -
130 XIANG Siyuan 74% 23% 2% - - - -
131 BOUSSY Luciano 2% 16% 37% 34% 10% 1%
132 DRESSEL Jet 7% 31% 42% 17% 3% -
133 BARRETT Austin 4% 19% 35% 29% 11% 2% -
134 DORMAN Patrick 34% 42% 19% 4% - -
135 QUINTERO Julian 40% 40% 16% 3% - - -
135 HOGAN Gideon 47% 39% 12% 2% - - -
137 CHOI Simon 19% 40% 29% 10% 2% - -
137 FLORES Justin 10% 36% 37% 15% 2% - -
139 BROWN Jason 15% 37% 32% 13% 2% - -
139 GRESENS Jacob 37% 41% 18% 4% - - -
141 DJONOUMA Toyohm 9% 31% 37% 19% 4% - -

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.