National Championships and July Challenge (Summer Nationals)

Div II Men's Saber

Friday, July 4, 2025 at 8:00 AM

Baird Center - Milwaukee, WI, 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 Ayden - - 3% 14% 31% 35% 16%
2 KANG Evan - - 1% 7% 24% 40% 27%
3 GAY Jono - 2% 12% 31% 37% 17%
3 KOTVALI Aneesh - 2% 13% 30% 34% 18% 3%
5 SADHU Neiyam - 2% 13% 34% 38% 13%
6 ZAYAS Devin A. - - - 4% 20% 42% 33%
7 HERNANDEZ Stanton - 1% 7% 25% 41% 26%
7 SUBA Lucas - - 4% 23% 46% 27%
9 BRIMMER Robert (Trey) - 2% 8% 22% 33% 26% 8%
10 GOLDIN Lucca - 1% 10% 29% 40% 20%
11 BEATY Chad A. - - - 1% 10% 36% 52%
12 SHANKWILER Christopher - - 4% 16% 33% 33% 13%
13 RIGGINS Littleton K. - 1% 9% 27% 38% 22% 3%
14 ONG Dylan 2% 13% 30% 32% 17% 5% -
15 STAMIS Kyle - - < 1% 4% 21% 44% 31%
16 SALMAN Hamzah - 11% 30% 35% 19% 4% -
17 SU Kingston - 4% 17% 31% 30% 14% 3%
18 YAP Kah Kai (Cayden) - 1% 9% 28% 40% 22%
19 SASSI Ilyas - 1% 8% 25% 36% 24% 6%
20 WANG William - - 2% 13% 34% 38% 13%
21 HUNG Samuel - 2% 11% 29% 35% 19% 3%
22 LEE Brian - 4% 23% 42% 26% 5%
23 JONES Graham H. - - - 5% 23% 43% 28%
24 CRAIN Bennett 1% 6% 21% 36% 29% 8%
25 CHAN Henry 1% 8% 26% 37% 24% 5%
26 LEONARDI Pierce C. - 4% 19% 39% 31% 7%
27 MARQUEZ Jeremy - - 4% 19% 43% 33%
28 IYER Neil - 3% 14% 31% 34% 16% 2%
29 BLINKOV Andrey - - - 1% 7% 33% 59%
30 KWON Kenneth - 5% 21% 36% 27% 9% 1%
31 HENRY Cadel 2% 11% 28% 33% 20% 6% 1%
32 PORTER Dupree - - 2% 10% 29% 39% 20%
33 CRICOL Damian - - 3% 15% 35% 35% 11%
34 HORNE Jamison - 3% 14% 32% 36% 15%
35 RIDKY Sam - 3% 14% 29% 33% 18% 3%
36 DESAUTELS Connor - 1% 9% 27% 36% 22% 5%
37 WITCZAK Mateus - 3% 15% 33% 33% 14% 2%
38 VO Landon - 1% 6% 20% 35% 29% 9%
39 SEPUCHA Sam 3% 29% 39% 22% 6% 1% -
40 LEVY Jack 5% 21% 33% 26% 11% 2% -
41 HUA Michael - 3% 12% 27% 33% 20% 5%
42 NAMBIAR Navin 1% 10% 30% 38% 18% 3%
43 TURNER Benjamin 4% 22% 38% 27% 8% 1%
44 WANG HongXi 1% 12% 32% 34% 17% 4% -
45 DECESARIS Charles A. - - - 3% 16% 41% 39%
46 DAWSON-TEECE Powell - - 2% 13% 35% 38% 12%
47 WU Yiyang - 1% 5% 18% 34% 31% 11%
48 KIM Yusung 3% 16% 31% 30% 15% 4% -
49 SWIFT Owen - 1% 5% 17% 33% 32% 12%
50 HONG Aidan 3% 19% 35% 29% 12% 2% -
51 HALL Noah - 4% 16% 31% 31% 15% 3%
52 DUPREE Thomas - - 3% 14% 31% 35% 15%
53 LIAO Sirui 11% 36% 35% 15% 3% - -
54 FIROOZI Sam 10% 31% 35% 19% 5% -
55 TAN Ryan 12% 35% 35% 15% 3% -
56 ANUMULA Aryan 2% 18% 43% 30% 7% 1%
57 LOO Jason 1% 5% 19% 34% 31% 11%
58 NAFTALI Ori 40% 41% 16% 3% - -
59 KLEBS Robert - 5% 19% 35% 31% 10%
60 DESSAUER Tobyn M. - - 4% 24% 46% 26%
61 XU Ivan - 4% 18% 37% 31% 10%
62 UEMOTO Ken - 1% 8% 22% 34% 26% 8%
63 BOLLU Viren - 5% 20% 36% 29% 10% 1%
64 DOMINIQUE Remson - 2% 11% 29% 35% 20% 4%
65 FENG Brendan - 2% 16% 37% 32% 11% 1%
66 CHENG Brandon 1% 7% 22% 33% 26% 10% 1%
67 GRIECI Noah - 4% 18% 35% 30% 11% 1%
68 LAZARTE Gabriel 1% 10% 27% 34% 21% 6% 1%
69 COPP Max 1% 7% 22% 34% 26% 10% 1%
70 JENSBY Jason - - 2% 11% 30% 39% 19%
71 CIEMINS Henry - 3% 16% 34% 33% 13% 1%
72 KO Zuriel - 2% 12% 30% 34% 18% 3%
73 CHEEMA Hyder - - 2% 12% 39% 47%
74 LEE Brady 1% 10% 28% 36% 21% 4%
75 LIAO Yifong 3% 26% 40% 24% 7% 1%
76 FERRIS JR. Michael 10% 31% 35% 19% 5% -
77 HAYES David - 1% 9% 28% 37% 20% 4%
78 IRWIN Peter - - 4% 17% 37% 33% 9%
79 DIMATTEO Michael - 3% 13% 28% 33% 19% 4%
79 GUZIEC Robert 1% 20% 39% 29% 10% 2% -
81 MENDOZA Christian - 1% 8% 23% 35% 26% 8%
82 BEKDJANOV Arthur 1% 8% 22% 32% 25% 10% 2%
83 ORTHMANN Tristin - 2% 12% 30% 34% 18% 4%
84 LI Cooper - 1% 7% 21% 34% 28% 9%
85 GOLDMAN Ben S. - - 1% 10% 31% 41% 17%
85 CHAN Elliott 1% 6% 19% 32% 28% 13% 2%
87 MANESCU Miron - 1% 11% 29% 36% 20% 3%
87 RAMTEKKAR Soham - 1% 6% 23% 38% 26% 6%
89 WAGNER Elijah - 1% 7% 25% 38% 24% 5%
90 JHAVERI Rajan 2% 12% 28% 32% 19% 6% 1%
91 WONG Caleb W. - 3% 13% 28% 32% 19% 5%
92 BERKOWITZ Gavin 1% 7% 23% 34% 25% 9% 1%
93 BROCKMEYER Tyler 1% 8% 23% 33% 25% 9% 1%
94 IRVINE Patrick 3% 17% 33% 30% 14% 3% -
95 JI Johnson - 2% 14% 34% 36% 14%
96 EKAMBARAM Nikhil 6% 24% 35% 25% 9% 1%
97 WONG David 2% 13% 32% 35% 16% 3%
98 ZHANG Ray - 9% 29% 37% 21% 4%
99 KARAVAS Nicholas 4% 23% 37% 26% 8% 1%
100 CHENHE YuHan 2% 12% 30% 34% 18% 4%
101 HIBINO Uta 7% 24% 35% 25% 8% 1%
102 XUE Leo 3% 17% 35% 31% 12% 2%
103 BERGER Jacob - 2% 13% 32% 34% 16% 3%
104 OBEID Zaky 1% 16% 37% 31% 12% 2% -
105 AUTREY Adrien 1% 8% 23% 33% 25% 9% 1%
106 ZLATINSKI Jason - 2% 9% 25% 35% 24% 6%
107 LIU Guanyu 3% 17% 35% 31% 12% 2% -
108 DOLEV Ido - 4% 16% 30% 30% 16% 3%
109 LAMTAN Christoffer 2% 13% 33% 33% 16% 3% -
110 HARRINGTON Connor - 1% 11% 32% 36% 16% 2%
111 POLEYUMPTEWA Connor 5% 21% 34% 27% 11% 2% -
112 WANG Alex 1% 10% 26% 33% 22% 7% 1%
112 YADAV Lakshya - 2% 8% 23% 34% 26% 8%
114 PARKILA Lukas - 4% 20% 36% 29% 10% 1%
115 BENSON Jacob - 7% 25% 36% 24% 7% 1%
116 COBIAN Richard - 5% 23% 38% 27% 7%
117 WONG Reagan 3% 19% 38% 30% 9% 1%
118 LIU Yijin 1% 7% 23% 35% 26% 7%
118 PERRY Gwydion 3% 20% 37% 29% 9% 1%
120 LEE Brandon 3% 16% 32% 32% 15% 3%
121 MCMAHON Chris J. - - 1% 8% 26% 40% 24%
122 FARIDI Imran - 3% 16% 33% 32% 14% 2%
123 BAHK Caleb 5% 21% 34% 27% 11% 2% -
124 XIA Matthew 1% 7% 21% 32% 26% 11% 2%
125 COUNTS Nicholas 2% 11% 27% 33% 20% 6% 1%
126 BARROWS Hunter 1% 9% 24% 33% 23% 8% 1%
127 BOSITA Brennan 1% 8% 27% 37% 22% 6% 1%
128 RODRIGUEZ Erik - 3% 16% 35% 34% 11%
129 JAIN Karanvir - 4% 20% 38% 29% 9% 1%
130 SILVA Joaquin 1% 12% 37% 35% 13% 2% -
131 KULKARNI Shreyas 27% 44% 23% 5% 1% - -
132 WOLMART Zander 4% 20% 34% 27% 11% 2% -
133 CHEN Kevin 6% 21% 33% 26% 11% 3% -
134 CHEN Shawn 6% 23% 35% 26% 9% 1%
135 LEWIS Paul D. 1% 12% 32% 35% 17% 3%
136 CHEN Cooper 4% 21% 37% 28% 9% 1%
136 HENRY Ethan 7% 26% 36% 23% 7% 1%
138 LOSQUADRO Joseph 5% 21% 34% 27% 11% 2% -
139 GONG Gavin 1% 8% 21% 32% 26% 11% 2%
140 KANIA Alexander 2% 15% 34% 33% 13% 2% -
141 GOGNA Rehan 1% 8% 24% 33% 24% 9% 1%
142 NAIR Sujit 1% 14% 37% 33% 12% 2% -
143 PARCELL Colby 2% 11% 26% 32% 21% 7% 1%
144 REHM Liam 2% 13% 29% 32% 19% 5% 1%
145 MBERIA Alexander 2% 11% 27% 33% 21% 6% 1%
146 WANG Xiaodong - 2% 9% 25% 34% 24% 6%
147 ROSADO Sebastian 1% 7% 23% 33% 25% 10% 1%
148 KIM Enoch 66% 29% 5% - - - -
149 VOSPER James 2% 13% 34% 33% 15% 3% -
150 LEHMAN Matthew 8% 33% 37% 18% 4% - -
151 TIERNO Thomas J. 3% 25% 38% 25% 8% 1% -
152 RINALDI Savio 1% 7% 24% 37% 25% 6%
153 SINGHAL Armaan 7% 27% 37% 22% 6% 1%
154 BEVANS Auden 6% 24% 36% 25% 8% 1%
155 MEADE Liam R. 4% 21% 38% 28% 9% 1%
156 KAMAL Aidan 28% 42% 23% 6% 1% -
157 NARUT Oscar 24% 48% 23% 4% - -
158 TRZEPLA Max 9% 29% 35% 20% 5% 1%
159 DREWES James 11% 35% 36% 15% 3% -
159 ZHONG Meng - 4% 19% 37% 31% 9%
161 HAMMOND Jonathon 2% 11% 29% 35% 20% 4%
162 YAO Zachary 35% 43% 19% 4% - -
163 MAHESH Advik 13% 32% 32% 17% 5% 1% -
164 ZAY Elijah - 5% 18% 33% 30% 13% 2%
165 BRAMLETT Myer 20% 42% 29% 9% 1% - -
166 SMITH Etienne 66% 30% 4% - - - -
167 RAMANI Ari 7% 28% 36% 21% 6% 1% -
168 NELSON Jake 35% 40% 19% 5% 1% - -
169 ROJAS Alejandro Joaquin 8% 43% 36% 11% 2% - -
170 DUDNICK Christian P. - 1% 6% 22% 37% 28% 8%
171 EZZELL Alexander 25% 40% 25% 8% 1% - -
172 CORDIE David R. 6% 21% 33% 26% 12% 3% -
173 HUANG Anthony 82% 17% 1% - - - -
174 SIDDAMSHETTY Ishaan 2% 11% 27% 33% 21% 6% 1%
175 TOSCANO Sebastian 27% 41% 24% 7% 1% - -
176 MARTIN Quincy 38% 41% 17% 4% - - -
177 ENGLE Aidric 10% 31% 35% 19% 5% -
177 KANE Kiran 36% 42% 18% 3% - -
177 HEIMOV Brennan 70% 26% 4% - - -
180 RAVOOR Suvir 29% 41% 23% 7% 1% - -
181 CLARK Brandon 40% 45% 14% 1% - -
182 YEAZEL Colin 66% 29% 5% - - - -
183 OXIE Matthew 26% 41% 25% 7% 1% -
184 MEIER Nicholas M. < 1% 9% 27% 36% 22% 6% -
184 TANG Andrew < 1% 6% 25% 38% 24% 7% 1%
186 GROSSMAN Spencer 14% 33% 32% 16% 4% 1% -
186 ZHANG Richard 44% 40% 14% 2% - - -
188 ROBINSON Ezra 25% 40% 25% 8% 1% - -
188 COVER Dylan 26% 42% 25% 7% 1% - -
190 PIPKE Garrett 35% 42% 19% 4% - - -
190 LOTURCO Greg 76% 22% 2% - - - -
192 GABEL Hunter 2% 21% 44% 26% 6% 1% -
193 YU Joshua 88% 11% - - - - -

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.