The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

December NAC

Div I Men's Saber

Sunday, December 16, 2018 at 8:00 AM

Cincinnati, OH - Cincinnati, OH, USA

Probability density of pool victories

Reset

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 MACKIEWICZ Andrew A. - - - 3% 16% 42% 39%
2 THOMPSON Khalil A. - - - 2% 15% 42% 40%
3 SPEAR Jeff - - - - 2% 22% 76%
3 METRYKA Karol - - - 3% 17% 43% 36%
5 COSTIN Michael V. - - 1% 9% 26% 40% 24%
6 WILLIAMS Grant W. - - 4% 17% 36% 33% 10%
7 SPEAR Will - 1% 6% 20% 35% 29% 9%
8 KOLASA Thomas M. - - 1% 8% 35% 56%
9 SOUDERS Peter F. - - 2% 10% 29% 39% 19%
10 ARFA Fares - 5% 24% 45% 22% 3%
11 IGOE Benjamin - - 2% 11% 30% 38% 19%
12 SHAINBERG Jonah L. - - - 1% 8% 34% 57%
13 DODDO Andrew - - - 4% 18% 42% 36%
14 KANARY Logan A. 1% 8% 29% 41% 18% 3% -
15 FLORENCIA Hector 1% 7% 22% 34% 27% 9% 1%
16 ZHAO Raymond H. - 2% 13% 35% 37% 13%
17 CONTRERAS Alessandro - - 1% 7% 25% 42% 25%
18 KARAM Tariq A. - 2% 10% 29% 38% 20% 2%
19 KIM Charlson - 2% 10% 26% 35% 23% 5%
20 GOODE Matthew (Matt) G. - 2% 10% 26% 36% 22% 5%
21 MA Jonathan D. - - 4% 15% 33% 34% 13%
22 JOHNSON Andrew J. - - 1% 9% 29% 40% 20%
23 MERCHANT Marcel J. - 1% 6% 20% 35% 29% 9%
24 COHEN Josef A. - - 2% 13% 41% 45%
25 ARMIJO Gabriel K. - - 2% 14% 40% 44%
26 VIDOVSZKY Robert T. - 2% 11% 29% 38% 19%
27 MARCUS Benjamin H. 12% 33% 33% 17% 4% 1% -
28 JOHNSON Zachary (Zack) C. - 4% 19% 37% 30% 9% 1%
29 DI TELLA Pascual M. - 2% 12% 29% 34% 18% 3%
30 GREENBAUM Maxwell H. - 3% 17% 39% 33% 8%
31 MULVANEY Alec S. - 4% 18% 35% 31% 10% 1%
32 SCHOLL Ben Q. 3% 20% 40% 28% 8% 1% -
33 TE VELDE Noah C. - 1% 12% 34% 38% 15%
34 CHOU Stephen C. - 5% 23% 37% 26% 8% 1%
35 MERCHANT Julian T. 1% 11% 32% 38% 17% 2%
36 LEVITT Benjamin - 3% 15% 38% 37% 7%
37 LOSS Geoffrey M. - - 2% 10% 30% 40% 18%
38 SWARTZ Roscoe O. - 5% 19% 33% 29% 12% 2%
39 ZHOU Matthew R. 2% 11% 28% 34% 20% 5% -
40 LIU Jesse Y. 4% 19% 33% 28% 13% 3% -
41 CHOI HYUNSEOK - 1% 6% 23% 40% 27% 4%
42 CENTANNI Salvatore (Sal) M. - 4% 17% 36% 31% 11% 1%
43 CHEN Alan 3% 19% 34% 28% 12% 2% -
44 DESCHERER David - 1% 9% 25% 36% 24% 5%
45 BAK Daniel 16% 40% 32% 10% 1% -
46 BOOTH Zaheer 7% 31% 39% 19% 4% -
47 OSOLINIEC Victor E. 1% 11% 30% 35% 19% 4% -
48 GUY Philippe - - 3% 15% 33% 35% 14%
49 CAMPBELL Colin B. 2% 11% 27% 33% 21% 6% 1%
50 PARK Donghwan - 2% 10% 29% 38% 19% 3%
51 ROTENSTEIN Leon G. 5% 23% 37% 26% 8% 1% -
52 ATTIG Will T. - 2% 12% 31% 36% 17% 2%
53 RIVERA Inigo Franco 1% 8% 23% 34% 25% 8% 1%
54 MOISE Bryan R. 2% 16% 34% 31% 14% 3% -
55 LANDAU Nathaniel (Nat) B. - 1% 10% 28% 36% 20% 4%
56 SIERADZKY Dawson 4% 44% 38% 12% 2% -
57 MULLENNIX Ethan M. - 5% 23% 41% 27% 3%
58 BUENAVENTURA Christian 19% 39% 30% 11% 2% -
59 HAMMER Peter A. - 4% 21% 38% 29% 8%
60 KIM Brian S. - 3% 15% 31% 32% 15% 3%
61 HU William 1% 10% 29% 36% 20% 4% -
62 KIM Stephen E. - 2% 10% 27% 34% 21% 5%
63 PRICE Jack S. 1% 5% 20% 33% 28% 11% 2%
64 WOOD Elden S. 1% 11% 30% 35% 18% 4% -
65 JULIEN William A 2% 14% 31% 33% 16% 4% -
66 MEHTA Sachin N. - 3% 14% 30% 33% 17% 3%
67 GRUBE Sterling T. - - 2% 14% 36% 36% 11%
68 MICHELL Bailey - 3% 14% 31% 34% 16% 2%
69 YEN Darren - 2% 10% 25% 35% 23% 5%
70 ROHRLACK Charles (Charlie) F. 4% 19% 35% 30% 11% 2%
71 SCHMITT Trenton R. - 4% 21% 41% 28% 5%
72 BOLTON Dawson E. 18% 39% 31% 11% 2% -
73 MIKA Casper 1% 11% 29% 34% 19% 5% -
74 MOON Sean H. - - 1% 8% 26% 40% 24%
75 BIERNACKI Maciej L. - 2% 11% 28% 34% 20% 4%
76 KENNEDY Falan M. 1% 7% 24% 36% 25% 7% 1%
77 BERKAY Deniz 4% 19% 33% 28% 13% 3% -
78 RICHARDSON Andrew 10% 30% 35% 19% 5% 1% -
79 RICH Augustus (Gus) G. 1% 8% 25% 35% 23% 7% 1%
80 LIMB Matthew G. 1% 5% 19% 32% 29% 12% 2%
81 LORTKIPANIDZE Nickoloz - 4% 18% 33% 30% 12% 2%
82 GREEN Adam M. 9% 31% 37% 18% 4% -
83 LIN John A. - 3% 24% 41% 26% 6%
84 DODRILL Grant 7% 31% 39% 19% 4% -
85 STONE Ben 1% 10% 27% 34% 21% 6% 1%
86 KOKOSINSKI Eryk 19% 38% 29% 11% 2% - -
87 DOARES Andrew - 5% 18% 33% 30% 13% 2%
88 COPELAND Oliver E. 1% 8% 29% 37% 21% 4% -
89 QIU Le 13% 34% 33% 16% 4% - -
90 PRIEST Leighton K. 9% 31% 36% 19% 5% 1% -
91 LORTKIPANIDZE Guram 2% 14% 34% 33% 14% 2% -
92 PHILLIPS Kim V. 1% 7% 24% 36% 25% 7% 1%
93 LUEBBE Macklan C 2% 20% 39% 28% 9% 1% -
94 KARNES Jameson D. 6% 33% 39% 18% 4% - -
95 WU Nicholas R. 22% 40% 27% 9% 2% - -
96 RAINVILLE-POND Schuyler J. 20% 41% 28% 9% 1% - -
97 TONG Qilin - 5% 20% 36% 28% 9% 1%
98 GEFELL Andrew P. - 5% 23% 38% 26% 7% 1%
99 ALLUM Christopher T. 1% 6% 20% 34% 28% 10% 1%
99 MURTHY mukund 1% 6% 21% 35% 28% 9% 1%
101 MARSEE James 14% 35% 32% 14% 3% - -
102 HAYES Matthew T. 32% 41% 21% 5% 1% - -
103 NADILE Henry V. 3% 18% 36% 31% 11% 1%
104 STATEN-LUSTY Silas J. 1% 14% 37% 35% 12% 1%
105 BRADFORD Blake 5% 27% 41% 22% 4% -
106 CHAN Zachary D. 1% 8% 26% 37% 24% 5%
107 PREVEY-SULLIVAN Owen D. 7% 24% 34% 24% 9% 2% -
108 KAUFMAN Bradley A. 27% 45% 23% 5% - - -
109 MATHARU Sukhveer 38% 42% 17% 3% - - -
110 VACCARI Braden 11% 33% 35% 17% 4% - -
111 LAI Adam J. 4% 26% 39% 23% 6% 1% -
112 THORNTON Ronald J. 2% 14% 32% 32% 16% 4% -
113 STREB JR. Joseph T. 11% 32% 35% 17% 4% - -
114 BARTOLO Domenic V. 16% 36% 32% 13% 3% - -
115 DANIELS Douglas A. 29% 46% 20% 4% - - -
116 SHANAHAN Adam E. 11% 39% 35% 13% 2% - -
117 MONTGOMERY Jadon T. 1% 10% 35% 36% 15% 2% -
118 COHEN Samuel D. 32% 46% 20% 2% - -
119 OSTER Keegan J. 2% 11% 29% 34% 19% 5% -
120 BURR Tanner B. 84% 15% 1% - - -
121 WOODWARD Dylan P. 62% 31% 6% 1% - - -
121 ARNIPALLI Shanvanth 32% 47% 18% 3% - - -
123 SEVOSTYANOV Stepan (Seva) 8% 30% 37% 20% 5% -
123 RIGGINS Littleton K. 39% 43% 16% 2% - -
125 ERACHSHAW Taras P. 4% 19% 33% 28% 12% 3% -
126 HANEY Vincent 28% 44% 23% 5% - - -
127 MOSKOWITZ Mason C. 34% 41% 20% 5% 1% - -
128 BOLTON Braydon A. 7% 31% 38% 20% 5% - -

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.