January NAC

Div I Men's Saber

Friday, January 7, 2022 at 2:00 PM

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 SARON Mitchell S. - - - - 2% 24% 74%
2 HOMER Daryl D. - - - - 1% 17% 81%
3 WILLIAMS Grant W. - - - - 5% 30% 64%
3 BOOTH Zaheer - 1% 5% 20% 35% 30% 9%
5 MACKIEWICZ Andrew A. - - - - 1% 20% 78%
6 COHEN Josef A. - - - - 2% 23% 75%
7 CHOI HYUNSEOK - - 4% 25% 40% 25% 5%
8 ARFA Fares - - - - 4% 26% 70%
9 SOLOMON Daniel P. - - - 4% 21% 49% 26%
10 VIDOVSZKY Robert T. - - - 2% 14% 40% 43%
11 THOMPSON Khalil A. - - - 2% 13% 44% 41%
12 SMITH Jared C. - - - 2% 15% 42% 42%
13 TE VELDE Noah C. - 1% 6% 19% 34% 30% 11%
14 MATRICCIANI NOAH - 1% 8% 31% 40% 18% 3%
15 DENNER Lysander H. - 3% 15% 32% 33% 14% 1%
16 DINU Nicholas D. - 3% 16% 36% 34% 11%
17 CAUCHON Francois - - 1% 9% 28% 40% 22%
19 WEI Andrew - 2% 12% 30% 35% 18% 3%
20 RABINOWITZ Benjamin - - 2% 11% 29% 38% 20%
21 ANGLADE Junior Ronald (RJ) E. - - - 4% 18% 42% 36%
22 KUSHKOV Simon O. - 1% 8% 27% 38% 22% 4%
23 OH Jason H. - - 1% 5% 22% 42% 30%
24 FIELDS Malcolm D. - - - 2% 12% 40% 46%
25 MULLENNIX Ethan M. - - - 5% 26% 44% 24%
25 HARLEY Colby A. - - - 3% 16% 40% 40%
27 CZYZEWSKI Konrad R. 4% 21% 35% 27% 10% 2% -
28 DOLEGIEWICZ Filip - - - 1% 9% 38% 52%
29 JI Cody Walter - 5% 18% 32% 30% 13% 2%
30 LO Joshua H. - 5% 19% 34% 29% 11% 1%
31 HARVEY Nicholas J. - 1% 9% 27% 39% 22% 2%
32 BARBER William S. 5% 23% 36% 26% 9% 1% -
33 WOOD Elden S. - 3% 14% 34% 34% 13% 1%
34 MOON Sean H. - 1% 6% 21% 37% 28% 6%
35 ZU Kevin - 2% 10% 31% 40% 16%
36 MCBRIDE Jackson R. - - 2% 13% 35% 39% 10%
37 ARMIJO Gabriel K. - - 1% 8% 27% 42% 22%
38 CALLAHAN Jaden P. - 1% 9% 26% 37% 23% 5%
39 MEHTA Sachin N. - - 3% 16% 38% 37% 5%
40 DHINGRA Gian K. - 3% 14% 30% 33% 17% 3%
41 KOGAN Benjamin 20% 44% 28% 7% 1% -
42 TRAVERS Samir T. - 1% 6% 23% 41% 27% 2%
43 KIM Shaun M. 16% 35% 31% 14% 3% - -
44 HAMMERSTROM Jared 1% 9% 27% 35% 22% 6% -
45 WALKER Dalton F. - - 1% 9% 34% 48% 7%
46 FRIAS SAUL F. 2% 11% 26% 33% 21% 7% 1%
47 HU William - 1% 8% 26% 38% 22% 4%
48 ZIELINSKI Nicholaus M. 1% 9% 31% 36% 18% 4% -
49 BERMAN Luca 6% 27% 37% 22% 6% 1% -
50 DESROSIERS Olivier - - 4% 18% 37% 33% 8%
51 SOHN Kevin J. - 2% 10% 27% 36% 21% 4%
52 NOBLE Daniel 1% 6% 23% 37% 26% 6% -
53 BIVINS III George A. - - 2% 10% 29% 39% 20%
54 DENNER Maximilian P. 8% 26% 35% 23% 8% 1% -
55 LAI Adam J. - 3% 13% 32% 34% 16% 3%
55 KAYDALIN Artyom 5% 22% 36% 27% 9% 1% -
57 BRAR Sanjeet 4% 19% 35% 29% 11% 2% -
58 SCHMITT Trenton R. - - 2% 12% 35% 39% 11%
59 JOHNSON Andrew J. - - 5% 21% 37% 28% 7%
59 SMITH David C. 1% 11% 29% 34% 20% 5% -
61 BENAVRAM Lev C. 1% 8% 26% 35% 23% 7% 1%
62 RAI Avin - 1% 9% 26% 36% 22% 4%
63 HONG Vincent Q. 6% 26% 37% 23% 7% 1% -
64 HUSSAIN Faaris 1% 9% 31% 37% 18% 3%
65 LINDHOLM Oliver S. 19% 40% 30% 10% 1% < 1% -
66 DODRILL Grant - 5% 18% 33% 29% 12% 2%
67 REN Junming - 1% 6% 21% 34% 28% 9%
68 LIN Xiteng (Steven) - 5% 20% 36% 29% 9% 1%
69 MORRILL William - 4% 17% 34% 32% 12% 1%
70 JOHNSON Zachary (Zack) C. - - 1% 10% 32% 40% 17%
71 LINSKY Matthew - 3% 15% 33% 33% 14% 2%
72 WILLIAMS Nolan E. - 1% 6% 20% 34% 29% 10%
73 RIVERA Inigo Franco - 3% 15% 35% 36% 10% -
73 WU Mengke - 2% 13% 33% 36% 14% 1%
75 JIANG Anthony 6% 31% 37% 20% 5% 1% -
76 YEN Darren - 1% 6% 19% 34% 30% 10%
77 BERRIO Carter E. 11% 30% 34% 19% 6% 1% -
77 JEFFORDS Alexander - 3% 13% 31% 36% 16% 1%
79 YAKO george - 1% 9% 27% 37% 22% 4%
80 LIMB Matthew G. - 1% 6% 20% 36% 29% 8%
81 ZUBATIY Samuel 6% 25% 36% 24% 7% 1% -
82 SO Hananiah - 3% 15% 33% 34% 13% 1%
83 CHON Taylor A. 2% 13% 33% 36% 14% 2%
84 PARK Justin W. - 4% 21% 39% 28% 7%
85 BURGUNDER Quinten (Quin) A. - 1% 8% 29% 41% 21%
86 FERNANDEZ Rodrigo 1% 7% 21% 32% 27% 11% 2%
87 BULL Anderson 13% 34% 34% 16% 3% - -
87 TANN Justin 1% 9% 26% 35% 22% 6% 1%
89 NAZLYMOV Andrei 24% 40% 26% 8% 1% - -
90 KIM Charlson - - 2% 11% 31% 39% 17%
90 PAN Jack (Yuxiang) 2% 14% 31% 32% 16% 4% -
92 MORRILL Justin 1% 11% 30% 36% 19% 4% -
93 TONG Qilin 1% 7% 21% 32% 27% 11% 2%
94 BARRETO Elliott 1% 5% 18% 32% 30% 13% 2%
95 GUAY-TARDIF Xavier - 4% 17% 33% 31% 12% 1%
96 KULDELL Spencer D. - 1% 4% 18% 36% 31% 9%
97 YANG Richard 2% 14% 34% 33% 14% 2% -
98 STATEN-LUSTY Silas J. 1% 6% 23% 37% 26% 7% 1%
99 HOLZ Daniel 5% 23% 36% 26% 8% 1% -
100 BARTOLO Domenic V. 1% 10% 29% 36% 20% 4% -
101 BREIER Satchel E. 1% 10% 28% 36% 20% 4% -
102 CORNEJO Jeffrey A. 22% 46% 27% 5% - - -
103 JOHNSON Langston C. 7% 25% 34% 24% 9% 2% -
104 KOTOV Leonid 12% 34% 35% 15% 3% - -
105 LUEBBE Macklan C 6% 25% 36% 24% 8% 1% -
106 REN Richard 26% 43% 24% 6% 1% - -
107 BEAM David E. 11% 32% 35% 18% 4% - -
108 WIND Nicky E. 1% 9% 26% 36% 23% 6% -
109 EICHHORN Lukas H. 20% 39% 29% 10% 2% - -
110 REYES Xavier M. 6% 25% 38% 24% 6% -
111 ATANASSOV Vasil V. 15% 37% 33% 13% 2% - -
112 LIANG Connor - 3% 16% 35% 32% 13% 2%
113 HOLZ William A. 16% 46% 29% 8% 1% - -
114 HAST Kern R. 1% 9% 26% 35% 23% 6% -
114 MERCHANT Marcel J. - 1% 7% 22% 34% 27% 8%
116 SILBERZWEIG Jordan H. - - 4% 19% 44% 33%
117 HO Kaden M. 5% 22% 34% 26% 11% 2% -
118 LUO George F. 17% 39% 31% 11% 2% -
118 TONG ZACHARY 6% 24% 36% 25% 9% 1% -
120 JINICH Ilan R. 6% 26% 38% 24% 6% - -
121 BERGER Oliver 3% 17% 32% 30% 14% 3% -
121 CHANG Colin S. 27% 41% 24% 7% 1% - -
123 PAN Jerry 5% 21% 33% 27% 11% 2% -
124 NIL Michael Y. 5% 20% 33% 28% 12% 2% -
124 HAN Daniel Y. 11% 32% 35% 17% 4% - -
124 BARBER Brendan 12% 34% 34% 16% 4% - -
127 CHAN Matthew 4% 17% 32% 30% 14% 3% -
127 LIU kelly 9% 29% 36% 20% 5% - -
129 FALLICK Ozzie 3% 15% 32% 33% 15% 3% -
130 MICHELL Bailey 3% 17% 33% 30% 14% 3% -
130 FREYRE DE ANDRADE Elian R. 11% 33% 35% 16% 4% - -
132 PAN Andrew W. 16% 38% 32% 12% 2% - -
132 BASALYGA Jeffrey 1% 9% 24% 33% 24% 8% 1%
134 WANG Robert 52% 37% 10% 1% - - -
135 COVINGTON Max G. 8% 28% 37% 21% 5% - -
136 LASORSA Matthew 2% 15% 32% 32% 15% 3% -
137 BEITEL Noah 26% 42% 25% 6% 1% - -
137 ALTIRS Alexander 8% 28% 37% 22% 6% 1% -
139 CHEN Howard - 4% 18% 33% 31% 12% 2%
140 LEE Aydan J. 37% 44% 16% 2% - -
141 WOODWARD Dylan P. 5% 22% 36% 27% 9% 1% -
142 XU William 9% 29% 36% 21% 5% - -
143 XU Andrew 23% 40% 27% 9% 1% - -
144 GHAYALOD ansh 19% 37% 29% 12% 2% - -
145 YUN Jake 5% 25% 39% 24% 7% 1% -
146 ERMAKOV Lev 3% 18% 34% 30% 12% 2% -
147 SAKHAMURI Surya - 3% 14% 30% 32% 17% 3%
148 BUENAVENTURA Christian - 3% 14% 31% 33% 16% 3%
149 XU Luke 13% 34% 34% 16% 3% - -
150 SCHERER Max 30% 46% 21% 3% - - -
151 WOODWARD Connor 5% 23% 37% 26% 8% 1% -
152 GHENEA George Philipe 13% 36% 34% 14% 3% - -
153 LE Hayden 2% 13% 33% 34% 15% 3% -
154 QIU Nathan 14% 36% 33% 14% 3% - -
155 RAJA Arnav 6% 23% 34% 25% 10% 2% -
156 SHIRPAL Oleksandr 3% 17% 35% 31% 12% 2% -
157 GREENBAUM Ian L. 9% 35% 40% 13% 2% - -
158 ROSBERG Dashiell W. 12% 36% 35% 14% 3% - -
159 CHEONG Heonjae 10% 31% 37% 19% 4% - -
160 HUANG Zekai 51% 39% 9% 1% - - -
161 YANG Ziyi 8% 28% 36% 21% 6% 1% -
161 STONE Esmond A. 11% 33% 36% 17% 4% - -
161 MARGULIES William 21% 40% 28% 10% 2% - -
164 MURZYN III CJ 17% 39% 32% 11% 2% -
165 BIERNACKI Maciej L. < 1% 1% 9% 26% 36% 23% 5%
165 MAKLIN Edward P. 17% 39% 31% 11% 2% - -
165 VO Minh Q. 36% 42% 18% 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.