USA Fencing National Championships & July Challenge

Div I Men's Saber

Monday, July 4, 2022 at 8:00 AM

Minneapolis, MN, 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 MORRILL William - 3% 13% 33% 37% 15%
2 WOOD Elden S. - 1% 5% 20% 35% 30% 10%
3 SKEETE Kamar A. - - 1% 6% 27% 48% 19%
3 LILOV Neil - 2% 13% 32% 37% 16%
5 WALKER Dalton F. - - 1% 9% 30% 40% 19%
6 ANDREEV Ilia - - 1% 5% 21% 42% 32%
7 BENAVRAM Lev C. 1% 8% 25% 37% 24% 5%
8 ARMIJO Gabriel K. - - 1% 5% 19% 40% 36%
9 VIDOVSZKY Robert T. - - 2% 11% 38% 49%
10 ZU Kevin - - 4% 15% 32% 34% 14%
11 PAN Jack (Yuxiang) - 2% 11% 27% 35% 21% 5%
12 DOLEGIEWICZ Filip - - - 1% 10% 41% 48%
13 SILBERZWEIG Jordan H. - 1% 6% 24% 41% 27%
14 YEN Darren - 1% 4% 16% 33% 33% 13%
15 LINSKY Matthew 2% 13% 31% 34% 17% 3%
16 HONG Vincent Q. 7% 27% 37% 23% 6% 1%
17 YUN Jaesun 1% 9% 26% 36% 23% 5%
18 JI Cody Walter - 1% 6% 21% 36% 29% 7%
19 SMITH Jared C. - - 1% 7% 28% 46% 18%
19 TRAVERS Samir T. - 3% 12% 28% 33% 19% 4%
21 CALLAHAN Jaden P. - 3% 12% 28% 33% 20% 5%
22 FIELDS Malcolm D. - - 1% 8% 36% 55%
23 LIMB Matthew G. - 4% 20% 40% 30% 6%
24 DENNER Lysander H. 2% 11% 30% 36% 19% 3%
25 BOOTH Zaheer - - 1% 9% 29% 40% 20%
26 BIERNACKI Maciej L. - 1% 5% 20% 35% 30% 10%
27 LAI Adam J. 1% 6% 21% 36% 28% 8%
28 CHOI HYUNSEOK - 1% 10% 30% 41% 18%
29 CZYZEWSKI Konrad R. 4% 20% 36% 29% 11% 1%
30 CHAN Matthew 2% 14% 31% 33% 16% 3% -
31 DENNER Maximilian P. 3% 17% 33% 31% 14% 2%
32 HUSSAIN Faaris 1% 10% 28% 35% 21% 5%
33 MOON Sean H. - 1% 9% 28% 40% 21%
34 LIANG Connor - - 4% 18% 34% 32% 11%
34 REN Junming - - 4% 18% 35% 32% 11%
36 BUERGENTHAL Aaron P. - 4% 17% 33% 31% 14% 2%
37 HOLZ Daniel 3% 16% 32% 31% 14% 3%
38 LEE Justin 3% 20% 36% 28% 11% 2% -
39 MCBRIDE Jackson R. - - 2% 16% 37% 34% 11%
40 WILSON Jude 2% 10% 27% 33% 21% 7% 1%
41 BOLTON Braydon A. - 1% 8% 22% 34% 26% 8%
42 WITEK Bernard J. - 2% 12% 30% 34% 18% 4%
43 HAN Daniel Y. 8% 33% 40% 16% 3% - -
44 BIVINS III George A. - 1% 6% 24% 43% 26%
45 WILLIAMS Nolan E. - 2% 10% 28% 39% 21%
46 SO Hananiah - 3% 13% 31% 37% 17%
47 KIM Stephen E. - 1% 9% 28% 40% 21%
48 LIM William J. 12% 32% 34% 18% 4% -
49 FERNANDEZ Rodrigo 1% 8% 25% 36% 24% 6%
50 ATTIG Will T. - 2% 10% 28% 39% 21%
50 DODRILL Grant 1% 10% 28% 36% 21% 5%
52 LUKASHENKO Darii - 2% 12% 29% 35% 19% 4%
53 MEHTA Sachin N. - 1% 6% 21% 35% 28% 9%
54 CHOU Stephen C. - 1% 6% 21% 37% 28% 8%
55 HARVEY Nicholas J. - 1% 8% 25% 35% 24% 6%
56 BURGUNDER Quinten (Quin) A. - 1% 5% 17% 33% 33% 13%
57 JOHNSON Langston C. - 5% 20% 34% 28% 11% 2%
58 KIM Shaun M. 4% 19% 35% 30% 11% 2%
59 ESCUETA Tony V. 7% 28% 37% 22% 6% 1%
60 HUANG Ethan F. 6% 25% 36% 24% 8% 1%
61 WOODWARD Dylan P. 11% 33% 35% 17% 4% -
62 NADILE Henry V. - 4% 18% 36% 32% 10%
63 TANN Justin 4% 18% 33% 29% 13% 3% -
64 LO Joshua H. - 5% 18% 34% 31% 11% 1%
65 ZIELINSKI Nicholaus M. - 4% 19% 34% 29% 12% 2%
66 DHINGRA Gian K. 1% 11% 32% 38% 17% 2%
67 WANG Eric Y. 4% 22% 37% 27% 8% 1%
68 SIMAK Joseph P. 2% 11% 26% 32% 21% 7% 1%
69 LEE Aydan J. 12% 33% 34% 17% 4% - -
70 GREENBAUM Maxwell H. - 2% 10% 27% 34% 21% 5%
71 MICHELL Bailey 1% 9% 25% 33% 22% 7% 1%
72 MULLENNIX Ethan M. - - - 2% 14% 40% 44%
72 KOGAN Benjamin 2% 13% 30% 32% 17% 4% -
74 BERGER Oliver 1% 8% 22% 32% 26% 10% 1%
75 WOODWARD Connor 10% 31% 36% 18% 4% -
76 XU William 5% 22% 35% 27% 10% 1%
77 LE Hayden 15% 36% 32% 14% 3% -
78 PARK Justin W. - 1% 6% 22% 37% 27% 7%
79 STATEN-LUSTY Silas J. - 4% 16% 33% 31% 13% 2%
80 WU Roger (Mengke) - 4% 18% 36% 31% 9% 1%
81 TE VELDE Noah C. - - 3% 13% 32% 36% 16%
82 MERCHANT Marcel J. - - 4% 21% 38% 29% 8%
83 NAZLYMOV Andrei 7% 25% 34% 23% 8% 2% -
83 DENG Andrew 4% 19% 36% 30% 10% 1% -
85 BERMAN Luca 6% 22% 33% 26% 11% 2% -
86 BAE Jason I. 13% 35% 34% 15% 3% - -
87 KOTOV Leonid 10% 29% 35% 20% 6% 1% -
88 YANG Richard 2% 13% 28% 32% 19% 5% -
89 CHEONG Heonjae 12% 35% 35% 15% 3% - -
90 OH Triton 32% 41% 21% 5% 1% - -
91 XUE ALEXANDER 7% 28% 37% 21% 6% 1% -
92 ATANASSOV Vasil V. 7% 27% 36% 22% 7% 1% -
93 STONE Esmond A. 10% 29% 34% 20% 6% 1% -
94 LIU kelly 6% 25% 36% 24% 8% 1%
95 VOCHOSKA Aidan F. 4% 18% 35% 30% 11% 1%
96 YOUNG Nash 2% 12% 31% 35% 18% 3%
96 MARGULIES William 16% 37% 32% 13% 2% -
98 WANG Charles 20% 39% 29% 10% 2% -
99 MORRILL Justin 5% 22% 36% 27% 10% 1%
100 NIL Michael Y. 3% 16% 32% 31% 14% 3%
101 HOLZ William A. 20% 40% 29% 9% 1% -
102 BERRIO Carter E. 23% 41% 27% 8% 1% -
103 PAN Jerry 6% 24% 37% 25% 8% 1%
104 FALLICK Ozzie 11% 33% 36% 17% 3% -
105 NOBLE Colin 9% 28% 35% 21% 6% 1% -
106 KUSHKOV Simon O. - 1% 8% 28% 38% 22% 4%
107 HAMMERSTROM Jared - 4% 15% 30% 31% 16% 3%
108 YANG Ziyi 2% 14% 30% 32% 17% 4% -
109 YUN Jake 2% 11% 27% 34% 21% 6% -
110 GEFELL Andrew P. - 1% 7% 23% 35% 26% 7%
111 BABAYEV Gabriel A. 3% 15% 31% 32% 16% 4% -
112 ZUBATIY Samuel 2% 12% 28% 33% 19% 6% 1%
112 REN Richard 22% 41% 27% 8% 1% - -
114 GHAYALOD Ansh 5% 19% 32% 28% 13% 3% -
115 POPE Nico 4% 19% 36% 30% 11% 1% -
116 SAKHAMURI Surya 2% 14% 36% 35% 12% 1%
117 RAI Avin 1% 6% 21% 37% 29% 8%
117 BRAR Sanjeet 17% 42% 31% 9% 1% -
119 YEN Preston 3% 17% 33% 31% 14% 2%
120 JEFFORDS Alexander 2% 13% 31% 34% 17% 3%
121 ERMAKOV Lev 5% 22% 36% 26% 9% 1%
122 NOBLE Daniel 5% 23% 36% 26% 8% 1%
123 HO Kaden M. 16% 37% 32% 13% 2% -
123 JIANG Anthony 3% 18% 36% 31% 11% 1%
125 MAKLIN Edward P. 17% 37% 31% 12% 2% -
126 CHIN Matthew W. 8% 29% 36% 21% 5% -
127 FREYRE DE ANDRADE Elian R. 32% 44% 20% 4% - -
128 WIND Nicky E. 1% 9% 25% 33% 23% 8% 1%
129 HONG Rubin 34% 43% 18% 4% - - -
130 CHON Taylor A. 2% 12% 27% 32% 20% 6% 1%
131 CHOI Silas 7% 26% 36% 23% 7% 1% -
132 HJERPE Wade H. 11% 32% 35% 17% 4% - -
133 TONG ZACHARY 3% 18% 35% 30% 12% 2% -
134 FENG Leo 9% 31% 36% 19% 5% 1% -
134 CHEONG Heonjun 20% 39% 29% 10% 2% - -
136 DIACOS Jordan 3% 18% 34% 29% 13% 3% -
137 BULL Anderson 9% 28% 34% 21% 7% 1% -
137 SCHARDINE James 28% 45% 22% 4% - - -
139 RASMUSSEN Alexzander C. 20% 44% 29% 6% 1% - -
140 MCCARTHY Gabriel 16% 38% 32% 12% 2% - -
141 WONG Ryan 18% 36% 30% 13% 3% - -
142 KIM-COGAN Ryan 22% 40% 28% 9% 1% -
143 KIM Matthew 16% 41% 30% 10% 2% - -
144 GRATHWOL-SEAR Oliver 52% 37% 10% 1% - - -

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.