October NAC

Cadet Men's Saber

Sunday, October 20, 2019 at 10:00 AM

Kansas City, MO - Kansas City, MO, 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 WOOD Elden S. - 1% 8% 23% 36% 26% 7%
2 DESROSIERS Olivier - 1% 5% 20% 36% 29% 9%
3 SOHN Kevin J. - - 3% 14% 33% 36% 14%
3 ZHOU Matthew R. - - 2% 11% 29% 38% 20%
5 HARLEY Colby A. - - 1% 5% 21% 42% 32%
6 ANGLADE Junior Ronald (RJ) E. - - - 4% 21% 43% 32%
7 LIMB Matthew G. - - 2% 11% 29% 38% 20%
8 HEATHCOCK Colin Yang Siqi - 2% 10% 25% 34% 23% 6%
9 LIANG Connor - - 1% 5% 22% 43% 29%
10 LAI Adam J. - - 3% 14% 34% 36% 13%
11 CAI Lawrence (Larry) - - 3% 16% 34% 34% 12%
12 SHI Andrew - 2% 10% 26% 34% 22% 6%
13 KAYDALIN Artyom 1% 11% 28% 33% 20% 6% 1%
14 CHAYEVSKY Kirk - - 1% 11% 32% 39% 17%
15 HARGENRADER Kailen A. - 5% 21% 36% 28% 9% 1%
16 VASILYEV Nikita K. - 1% 5% 18% 33% 31% 12%
17 KUSHKOV Simon O. - - 2% 10% 29% 40% 19%
18 HONG Marshall Q. - - 1% 9% 26% 40% 24%
19 ERACHSHAW Taras P. - 1% 7% 23% 37% 26% 7%
20 CZYZEWSKI Konrad R. 1% 8% 24% 33% 24% 9% 1%
20 KIM Andrew H. - 1% 10% 28% 36% 21% 4%
22 TRAVERS Samir T. - - 3% 14% 34% 36% 13%
23 LUKASHENKO Darii - 2% 10% 25% 34% 23% 6%
24 KIM Sean G. - - 3% 15% 33% 35% 13%
25 HUSSAIN Faaris - 2% 9% 25% 35% 24% 6%
26 DODRILL Grant - - 1% 9% 30% 41% 19%
27 DENNER Lysander H. - 1% 4% 16% 32% 34% 14%
28 KIM Minwook - - 2% 11% 29% 38% 19%
29 LILOV Neil - - 2% 10% 29% 39% 20%
30 GEFELL Andrew P. - 1% 6% 22% 36% 28% 8%
31 JI Cody Walter - - 5% 19% 36% 30% 9%
32 SAKHAMURI Surya - 2% 8% 23% 34% 26% 8%
33 YANG Kevin S. - - 2% 12% 32% 37% 16%
34 PAN Jerry 1% 7% 20% 32% 27% 12% 2%
35 PAN Jack (Yuxiang) - 1% 5% 17% 33% 32% 13%
36 WILLIAMS Nolan E. - 1% 5% 18% 33% 31% 11%
36 DANNULL Lukas J. - 1% 5% 20% 36% 29% 9%
38 DROZ Camden J. - 1% 4% 16% 33% 33% 12%
39 BENAVRAM Lev C. - - 1% 7% 26% 43% 23%
40 DHINGRA Gian K. - 2% 12% 29% 34% 19% 4%
40 YANG Ziyi - - 7% 27% 39% 23% 4%
40 MAHONEY Colin M. 1% 5% 18% 32% 29% 13% 2%
43 PEDERSEN Leif - 4% 19% 34% 29% 11% 2%
44 BOLTON Braydon A. - 2% 11% 26% 34% 22% 5%
45 CHEN Brian - 2% 9% 25% 34% 24% 6%
46 KIM Avery J. - 1% 6% 20% 35% 29% 9%
47 CALLAHAN Jaden P. - 1% 6% 20% 34% 29% 9%
48 YOUNG Nash - - 3% 16% 36% 35% 11%
49 DIACOS Jordan - 2% 10% 27% 35% 21% 5%
50 LIN John A. - - 3% 16% 35% 34% 11%
51 LINSKY Matthew - 3% 14% 31% 33% 16% 3%
52 DENNER Maximilian P. 2% 11% 27% 33% 21% 7% 1%
53 GAFFNEY John M. 12% 46% 32% 9% 1% - -
54 NOBLE Daniel - 4% 18% 34% 30% 12% 2%
54 JEFFORDS Alexander - - 2% 11% 31% 38% 17%
56 LIU David J. - 5% 20% 35% 28% 11% 1%
57 GUAY-TARDIF Xavier - 1% 6% 20% 35% 29% 10%
58 OWENS William - 2% 10% 25% 34% 23% 6%
59 VAN DER MERWE Fabian 5% 27% 40% 22% 5% 1% -
60 PASTOR-JOBIN Matis - 3% 16% 34% 32% 13% 2%
61 YANG Richard - 5% 21% 35% 28% 10% 1%
62 CHAN Matthew - 3% 13% 29% 33% 18% 4%
63 TRINH Trevor Z. - 1% 12% 33% 35% 16% 2%
64 BARBER William S. 2% 12% 28% 32% 19% 6% 1%
65 CHOI HYUNSEOK - - - 2% 14% 40% 43%
66 LIM Ryan Y. - - 2% 10% 29% 39% 20%
67 POPE Nico 1% 8% 23% 33% 25% 9% 1%
68 MOSZCZYNSKI Adam - - 4% 19% 39% 30% 8%
69 WIND Nicky E. - - 4% 20% 38% 30% 8%
70 SMITH Mitchell M. - - 3% 14% 34% 35% 13%
71 BERGER Oliver - 3% 20% 40% 28% 8% 1%
72 KIM Alexander M. 1% 7% 22% 32% 26% 11% 2%
73 HARVEY Nicholas J. - - 3% 13% 32% 36% 15%
74 NEUHEARDT Peter 2% 13% 30% 33% 18% 5% -
75 RAI Avin - 1% 6% 20% 34% 29% 10%
76 FLORES Peter D. - 1% 9% 28% 37% 21% 4%
77 LI Joshua L. 1% 12% 34% 35% 15% 3% -
78 LIU kelly 3% 14% 30% 31% 17% 5% -
79 GINIS Nathan - 1% 11% 30% 36% 18% 3%
80 PORTMANN Stein J. 1% 8% 24% 34% 24% 8% 1%
81 SILBERZWEIG Jordan H. - - 1% 6% 25% 43% 25%
82 BAILEY Asher 1% 9% 27% 36% 21% 6% 1%
83 LE Hayden 1% 9% 28% 36% 21% 6% 1%
84 AURAY Phileas - 3% 14% 29% 32% 18% 4%
84 BRAR Sanjeet 2% 19% 36% 29% 11% 2% -
86 FRISHMAN Ethan J. - - 3% 13% 31% 36% 17%
87 LO Joshua H. - - 4% 21% 38% 29% 7%
88 ZHOU Justin - 2% 11% 27% 34% 21% 5%
89 LEE Kyle - 1% 4% 18% 35% 32% 11%
89 HAMMERSTROM Jared - 3% 14% 33% 34% 15% 2%
89 ALTIRS Alexander 10% 28% 34% 21% 7% 1% -
92 REYES Xavier M. 1% 9% 29% 36% 20% 5% -
93 LEE Justin 7% 25% 34% 24% 9% 2% -
94 ALKIN Isaac 21% 39% 28% 10% 2% - -
95 TONG ZACHARY 1% 18% 36% 30% 13% 3% -
96 NG Jonathan H. - - 4% 19% 37% 31% 9%
97 CHO Brandon - 2% 13% 33% 35% 15% 2%
97 HAMMER Peter A. - - 2% 10% 30% 39% 19%
99 TANG Alex Y. 1% 6% 21% 35% 27% 10% 1%
100 CORTINO Mathieu 4% 17% 32% 30% 14% 3% -
101 SO Hananiah - 1% 7% 23% 36% 25% 6%
102 HUANG Eric 1% 9% 24% 33% 23% 8% 1%
103 SMITLEY Tyler J. 1% 11% 33% 36% 16% 3% -
103 LIU Jonathan M. 1% 5% 19% 33% 28% 12% 2%
105 SLOCOMBE Xavier 14% 35% 33% 15% 3% - -
106 GREEN IV James (Bud) - 3% 13% 29% 33% 18% 4%
107 TANN Justin 6% 22% 34% 26% 10% 2% -
108 COLE Alexander 6% 23% 34% 25% 10% 2% -
109 CHANG Eliot A. 1% 7% 22% 33% 26% 10% 1%
110 MAGUIRE Matthew V. 4% 20% 35% 28% 11% 2% -
111 LUO ZIRUI 4% 21% 36% 28% 11% 2% -
112 HARRIS Alex K. - - 3% 17% 37% 33% 10%
113 LASORSA Matthew 1% 6% 19% 32% 28% 12% 2%
114 LEVIN Mark A. - 2% 12% 32% 35% 16% 3%
115 RAJA Arnav 2% 13% 29% 32% 18% 5% 1%
116 ZHOU Kevin 2% 13% 30% 33% 17% 4% -
117 BUCHMANN Finn D. - 5% 24% 37% 25% 8% 1%
117 MORRILL Justin 1% 10% 27% 33% 21% 7% 1%
119 BERMAN Luca 4% 18% 33% 29% 13% 3% -
120 MAKLIN Edward P. 1% 11% 36% 36% 14% 2% -
121 CHANG Colin S. - 5% 30% 39% 21% 5% -
122 HONG Vincent Q. 6% 23% 35% 25% 9% 2% -
123 MORREALE John - 1% 9% 26% 37% 23% 4%
124 XU Luke 5% 29% 40% 21% 4% - -
125 GILMORE Thomas W. - 2% 15% 34% 32% 14% 2%
126 JUNG Junhwan 3% 17% 32% 30% 14% 3% -
127 FENG Leo 3% 16% 31% 30% 16% 4% -
128 HOUTZ Jackson 4% 18% 33% 29% 13% 3% -
129 GREENBAUM Ian L. 13% 37% 34% 13% 3% - -
130 RASMUSSEN Alexzander C. 18% 40% 29% 10% 2% - -
131 PAN Andrew W. - 4% 15% 30% 31% 16% 3%
132 JARAMILLO Tobias L. - 4% 16% 31% 32% 15% 3%
133 MILLER Levi H. - 4% 19% 34% 29% 12% 2%
134 DILLREE Spencer S. 3% 16% 31% 30% 16% 4% -
135 XU William 1% 25% 40% 25% 8% 1% -
136 GUZZO Vito 78% 20% 2% - - - -
137 NAZLYMOV Andrei 1% 14% 34% 33% 15% 3% -
138 BOURGHOL Matthew 16% 42% 31% 10% 1% - -
139 ASHBY Ethan J. 15% 34% 31% 15% 4% 1% -
140 JEAN Noe T. - 2% 11% 28% 34% 20% 4%
141 HASNAH Henry 1% 17% 37% 31% 12% 2% -
142 XUE ALEXANDER 2% 14% 35% 34% 13% 2% -
143 NARANJO David E. 16% 36% 31% 14% 3% - -
144 YUN Jake - 4% 18% 34% 30% 13% 2%
145 JINICH Ilan R. 2% 21% 38% 28% 10% 2% -
146 YOUNG Brendon 1% 8% 28% 37% 21% 5% -
147 ERMAKOV Lev - 1% 9% 26% 36% 23% 5%
148 HONG Steven 12% 32% 34% 17% 5% 1% -
149 FREYRE DE ANDRADE Elian R. - 8% 28% 36% 21% 5% 1%
150 ZHOU Miles 9% 27% 34% 22% 7% 1% -
151 DU Gavin J. 6% 24% 36% 25% 8% 1% -
152 RESHEIDAT Malik 2% 14% 30% 32% 17% 5% 1%
153 BRISLAWN Reilly R. - 7% 24% 35% 25% 8% 1%
154 LEITH Jack 45% 46% 8% 1% - - -
155 CHEONG Heonjae - 9% 29% 36% 20% 5% -
156 HUANG Ethan F. 3% 14% 30% 31% 17% 4% -
157 LEONARD Cole 6% 22% 34% 26% 10% 2% -
158 REN Richard 29% 46% 21% 4% - - -
159 DEWEY Charles J. 10% 36% 35% 15% 3% - -
160 CHAN Chaplin Cheuk Lun 13% 35% 33% 15% 4% - -
161 ZHANG Jeffrey 3% 25% 39% 24% 7% 1% -
161 SUN David 65% 29% 5% - - - -
163 NI AMEN Zahir K. - 5% 19% 33% 29% 12% 2%
164 BERRIO Carter E. 1% 11% 31% 35% 18% 4% -
165 CHENNURU Nischal 2% 15% 32% 31% 16% 4% -
165 TREJO Oliver 24% 45% 26% 5% - - -
167 KOTOV Leonid 13% 33% 33% 17% 4% 1% -
168 ELIN Adam E. 36% 41% 18% 4% 1% - -
168 MORRILL William 4% 19% 33% 28% 13% 3% -
168 KOSURI Harsha 59% 34% 6% - - - -
171 KORINTH Alexander J. 81% 18% 2% - - - -
172 MORTON-SALMON Sasha 13% 50% 30% 7% 1% - -
173 WANG Charles 12% 31% 33% 18% 5% 1% -
173 NGUYEN Andrew 38% 41% 17% 3% - - -
175 ERACHSHAW Cyrus P. 6% 25% 36% 24% 7% 1% -
175 HJERPE Wade H. 6% 22% 34% 26% 10% 2% -
175 MICHNA Colin P. 18% 37% 30% 12% 3% - -
175 LOWHAM-RUZZO Alexander J. 29% 46% 21% 4% - - -
175 PANDEY Neil 34% 43% 19% 4% - - -
175 GEORGE Daniel 40% 43% 15% 2% - - -
181 LIN Andrew 64% 32% 4% - - - -
181 POLSER John 71% 26% 3% - - - -
183 BAUER Hank E. 42% 40% 15% 3% - - -
183 ZHOU Brian 9% 28% 34% 21% 7% 1% -
183 PITTS Connor 72% 24% 3% - - - -
186 FORT David 44% 40% 13% 2% - - -
187 LOPEZ Lucas M. 34% 52% 13% 1% - - -
187 REED Samuel J. 26% 47% 23% 4% - - -
189 GUTSCHKE Braxton 24% 43% 25% 7% 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.