October NAC

Div I Men's Saber

Sunday, October 14, 2018 at 8:00 AM

Milwaukee, WI - 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 HOMER Daryl D. - - 4% 16% 34% 34% 12%
2 THOMPSON Khalil A. - - 4% 19% 41% 30% 6%
3 SPEAR Jeff - 1% 9% 27% 37% 22% 4%
3 WILLIAMS Grant W. 3% 17% 32% 30% 14% 3% -
5 METRYKA Karol - 1% 6% 22% 38% 27% 7%
6 COHEN Josef A. - 1% 6% 21% 37% 29% 8%
7 WALKER Christopher J. - - 3% 17% 40% 35% 5%
8 DOLEGIEWICZ Filip 1% 8% 26% 37% 23% 5% -
9 GUY Philippe - 1% 10% 27% 35% 21% 5%
10 SHAINBERG Jonah L. - - 5% 21% 40% 30% 4%
11 KOLASA Thomas M. - 1% 6% 23% 39% 27% 5%
11 SARON Mitchell S. - 2% 13% 31% 33% 17% 3%
13 DODDO Andrew - 5% 21% 38% 28% 7%
14 SOLOMON Daniel P. - 4% 15% 29% 31% 17% 4%
15 SOUDERS Peter F. - 3% 13% 29% 33% 18% 4%
16 FIELDS Malcolm D. 1% 12% 32% 36% 16% 3%
17 MACKIEWICZ Andrew A. - 1% 7% 23% 35% 26% 7%
18 COSTIN Michael V. - - 5% 21% 39% 28% 7%
19 LANDAU Nathaniel (Nat) B. - 1% 6% 21% 36% 28% 8%
20 IGOE Benjamin - 4% 21% 38% 29% 8%
21 ARMIJO Gabriel K. - - 4% 18% 38% 34% 5%
22 DI TELLA Pascual M. - 1% 13% 33% 35% 16% 3%
23 LEUNG Mark - 4% 19% 36% 30% 10% 1%
24 LOSS Geoffrey M. - 4% 18% 35% 30% 11% 1%
25 MOON Sean H. 1% 9% 28% 35% 20% 6% 1%
26 CONTRERAS Alessandro 1% 8% 25% 36% 24% 6%
27 BIVINS III George A. 2% 14% 34% 34% 14% 2%
28 DESCHERER David 2% 14% 31% 33% 17% 3%
29 GOODE Matthew (Matt) G. 2% 16% 36% 33% 11% 1%
30 LORTKIPANIDZE Guram 16% 42% 32% 9% 1%
31 OSOLINIEC Victor E. 1% 5% 18% 32% 30% 13% 2%
32 FARFAN-BAYERL Inti 6% 24% 37% 25% 7% 1%
33 ELSISSY Ziad - 1% 8% 27% 38% 22% 5%
34 CAI Erwin - - 3% 16% 35% 34% 12%
35 LINDER James (Luke) L. - - 1% 5% 22% 41% 31%
36 CENTANNI Salvatore (Sal) M. - 1% 7% 25% 39% 24% 3%
37 STONE Ben - - 1% 9% 33% 47% 9%
38 KUPANOFF Dimitri N. - 1% 7% 24% 37% 25% 6%
39 DEL VECCHIO Nicolas (None PLEASE) S. - 1% 20% 44% 27% 6% -
40 MERCHANT Marcel J. - 1% 8% 24% 35% 24% 6%
41 LEVITT Benjamin - 1% 13% 43% 34% 8% 1%
41 SHEPANEK Noah M. 1% 6% 19% 33% 28% 12% 2%
43 PROCHNIAK Evan A. 3% 14% 29% 31% 18% 5% 1%
44 BIERNACKI Maciej L. 6% 23% 35% 25% 9% 2% -
45 PANTELEEV Arsenii 1% 9% 26% 34% 22% 7% 1%
46 KIM Charlson 1% 7% 25% 36% 23% 7% 1%
47 SPEAR Will 4% 19% 33% 28% 13% 3% -
48 MA Jonathan D. 1% 8% 24% 35% 24% 7% 1%
49 LIU Jesse Y. 1% 9% 27% 35% 21% 6% 1%
50 MULLENNIX Ethan M. - 4% 17% 33% 31% 13% 2%
51 CHAN Zachary D. - - 4% 19% 37% 30% 9%
52 HAMMER Peter A. - 4% 18% 35% 31% 12% 2%
53 ZHAO Raymond H. - 6% 23% 37% 27% 7%
54 KULDELL Spencer D. 4% 20% 37% 28% 10% 1%
55 SMITH Jared C. 12% 31% 33% 18% 5% 1% -
56 BAK Daniel - 4% 17% 34% 31% 13% 2%
56 WALKER Dalton F. 2% 13% 29% 32% 18% 5% -
58 BACON Elias (Eli) H. - - 2% 10% 30% 41% 17%
59 KIM Brian S. 16% 39% 32% 11% 1% - -
60 TE VELDE Noah C. 2% 16% 34% 31% 13% 3% -
61 PARK Donghwan - 3% 15% 33% 33% 14% 2%
62 KUSHKOV Simon O. 7% 26% 35% 23% 8% 1% -
63 JOHNSON Zachary (Zack) C. 4% 20% 35% 28% 11% 2% -
64 MERCHANT Julian T. 4% 31% 45% 19% 1%
65 CHOU Stephen C. - 1% 5% 21% 37% 28% 8%
66 CAMPBELL Colin B. - 3% 17% 35% 31% 12% 2%
67 ATTIG Will T. - 1% 7% 22% 35% 27% 8%
68 MARSEE James - 2% 12% 31% 36% 17% 2%
70 LORTKIPANIDZE Nickoloz - - 2% 10% 27% 38% 22%
71 FLORES Gerardo (Gerardito) D. - 4% 17% 34% 31% 12% 1%
72 ROHRLACK Charles (Charlie) F. 2% 13% 29% 32% 18% 5% -
73 GREENBAUM Maxwell H. 2% 13% 28% 31% 19% 6% 1%
74 DEMAREST Iain - - 1% 5% 23% 45% 26%
74 CHEN Andrew M. 3% 15% 31% 31% 16% 4% -
76 SHIN Richard J.H. 2% 14% 29% 32% 18% 5% -
77 SCHMITT Trenton R. - 1% 7% 24% 37% 25% 6%
77 XU Ryan - 2% 12% 29% 35% 18% 3%
79 HARLEY Colby A. - - 1% 7% 27% 44% 22%
80 BARNETT Adam 10% 30% 35% 19% 5% 1% -
81 TONG Qilin - - 1% 6% 22% 42% 30%
82 GEFELL Andrew P. - 3% 16% 35% 34% 12%
83 LIN John A. - 1% 11% 36% 39% 12%
84 CHOI HYUNSEOK - 4% 22% 45% 28%
85 DANNULL Lukas J. 1% 6% 23% 38% 26% 6%
86 KANARY Logan A. - 7% 25% 37% 24% 7% 1%
87 KIM Stephen E. - 3% 14% 30% 33% 17% 3%
88 BOOTH Zaheer - 4% 16% 31% 31% 16% 3%
89 PREVEY-SULLIVAN Owen D. 7% 33% 37% 18% 4% 1% -
90 BERGMAN Thomas C. 3% 18% 33% 29% 13% 3% -
91 DANNULL Linus N. 1% 9% 26% 34% 22% 7% 1%
92 DRESSELL Wiley 3% 18% 36% 30% 11% 2% -
93 NADILE Henry V. 1% 9% 25% 34% 23% 7% 1%
94 MEHTA Sachin N. - 1% 7% 25% 38% 24% 5%
95 OSTER Keegan J. 5% 23% 37% 26% 8% 1% -
96 PRICE Jack S. 1% 7% 21% 32% 26% 11% 2%
96 ZIELINSKI Nicholaus M. - - 4% 15% 32% 35% 15%
98 ZHOU Matthew R. - 3% 14% 31% 33% 16% 3%
99 DINU Nicholas D. 1% 8% 24% 34% 24% 8% 1%
99 MIKA Casper - 3% 15% 32% 33% 15% 2%
101 MULVANEY Alec S. 1% 8% 26% 35% 23% 7% 1%
102 MATHEWS Stephen O. 1% 7% 24% 36% 24% 7% 1%
103 COPELAND Oliver E. - 2% 12% 29% 35% 19% 4%
104 JOHNSON Andrew J. - - 2% 11% 32% 40% 15%
105 PRIEST Leighton K. 18% 41% 31% 9% 1% -
106 MCBRIDE Jackson R. 1% 6% 24% 39% 25% 5%
107 LEVITT Teddy H. 1% 12% 34% 35% 15% 2%
108 REN Junming 4% 20% 37% 30% 9%
109 SCHINDLER Zachary (Milo) 23% 43% 26% 7% 1% -
110 HARVEY Nicholas J. 6% 25% 37% 24% 6% 1%
111 SMITH David C. 4% 18% 34% 29% 13% 3% -
112 KARAM Tariq A. 8% 26% 34% 22% 8% 2% -
113 WALKER III Alex 3% 16% 31% 30% 15% 4% -
114 SHANAHAN Adam E. 3% 17% 34% 30% 12% 2% -
114 DODRILL Grant 4% 17% 32% 29% 14% 3% -
116 ERACHSHAW Taras P. - 2% 10% 27% 36% 21% 4%
117 AURAY Phileas 2% 12% 29% 33% 19% 5% -
118 GREMILLION Ezekiel R. 2% 12% 30% 33% 18% 5% -
119 JULIEN William A 10% 31% 35% 19% 5% - -
120 CHEN Alan - 1% 9% 28% 37% 21% 4%
120 CAPPELLUTI Ryan M. 2% 13% 31% 33% 17% 4% -
120 CAI Lawrence (Larry) 1% 5% 19% 34% 29% 10% 1%
123 BUENAVENTURA Christian - 5% 20% 34% 28% 11% 1%
124 HARLEY Sage N. 5% 22% 37% 27% 8% 1% -
125 RICHARDSON Andrew - 5% 19% 35% 29% 10% 1%
126 SAKHAMURI Surya - - 1% 10% 33% 40% 16%
126 HEATHCOCK Colin 3% 18% 35% 30% 11% 2% -
128 LAI Adam J. - 1% 6% 20% 34% 29% 10%
129 WOOD Elden S. 1% 7% 24% 35% 25% 8% 1%
130 RIGGINS Littleton K. 9% 30% 37% 20% 4% - -
130 PETWAY Justin E. 4% 19% 37% 30% 10% 1% -
132 HU William 1% 9% 26% 34% 22% 7% 1%
133 HUSSAIN Faaris Zulfiqar 5% 28% 39% 22% 6% 1% -
134 RAMAN Easwer - 3% 14% 32% 33% 15% 2%
135 WILLIAMS Nolan E. - - 3% 14% 32% 36% 15%
136 GOTTSCHALK Alexander P. 5% 19% 32% 28% 13% 3% -
137 SIERADZKY Dawson 13% 37% 35% 13% 2% -
138 HAN Nicholas 23% 43% 26% 7% 1% -
139 HEINTZ Evin Y. 14% 37% 34% 13% 2% -
140 BOLTON Dawson E. 12% 34% 36% 16% 3%
141 JEFFORDS Alexander 11% 36% 37% 14% 2% - -
142 DENNER Lysander H. - 2% 12% 28% 34% 19% 4%
143 CHAYEVSKY Kirk 1% 6% 22% 35% 27% 9% 1%
144 RAINVILLE-POND Schuyler J. 30% 47% 20% 3% - - -
145 ANGLADE Junior Ronald (RJ) E. 1% 10% 25% 32% 23% 8% 1%
146 YEN Darren - 3% 16% 31% 31% 15% 3%
147 KAUFMAN Bradley A. 3% 16% 33% 31% 14% 3% -
148 STATEN-LUSTY Silas J. 10% 38% 35% 14% 3% - -
149 HOLMES Aiden G. 3% 14% 29% 31% 17% 5% 1%
150 VACCARI Braden 10% 32% 36% 18% 4% - -
151 HAYES Matthew T. 10% 31% 35% 19% 5% 1% -
152 YOUNG Nash 5% 21% 35% 27% 11% 2% -
153 QIU Le 18% 39% 30% 11% 2% - -
154 MICHELL Bailey 12% 37% 36% 12% 2% - -
154 FEENEY Sean 9% 30% 37% 20% 5% - -
154 KANG Brandon M. 21% 45% 28% 5% - - -
154 TRAVAGLIONE Conor D. - 2% 13% 34% 38% 12% 1%
158 BARNETT Peter - 3% 16% 33% 32% 13% 2%
159 BOLTON Braydon A. 8% 27% 35% 22% 7% 1% -
160 VAULES Charles W. 1% 9% 27% 37% 22% 5% -
161 YUNGEBERG Tyler R. 5% 29% 42% 21% 3% - -
161 YEN Joshua C. 7% 25% 35% 24% 9% 1% -
163 YAN Jack P. 16% 38% 32% 12% 2% - -
164 VARUKATTY-GAFOOR Akhil 5% 22% 35% 27% 10% 2% -
165 LIMB Matthew G. < 1% 5% 25% 45% 22% 3%
166 GRATHWOL-SEAR Sebastian < 1% 4% 19% 39% 31% 6%
167 GAFFNEY John M. 18% 42% 30% 9% 1% - -
168 LIM Ryan Y. 10% 28% 34% 21% 7% 1% -
169 CHANG Howard 4% 19% 33% 29% 13% 3% -
169 WU Nicholas R. 34% 47% 17% 2% - - -
169 D'ORAZIO Joseph < 1% 4% 16% 32% 33% 14% 1%
172 BARTOLO Domenic V. < 1% 4% 20% 38% 30% 7%
173 BURR Tanner B. 20% 41% 29% 9% 1% - -
174 NOBLE Daniel 11% 34% 36% 16% 3% - -
175 FILS-AIME Jacob E. 27% 49% 21% 3% - - -
176 MOSKOWITZ Mason C. 15% 36% 32% 14% 3% - -
176 YATES Colum C. 15% 37% 33% 12% 2% - -

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.