December NAC

Div I Men's Saber

Monday, December 9, 2019 at 8:00 AM

Salt Lake City, UT - Salt Lake City, UT, 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. - - - 1% 7% 32% 60%
2 DODDO Andrew - - 3% 16% 42% 39%
3 LOSS Geoffrey M. - 1% 6% 24% 43% 26%
3 THOMPSON Khalil A. - - - 1% 9% 36% 54%
5 MACKIEWICZ Andrew A. - - - - 3% 24% 72%
5 WILLIAMS Grant W. - - 1% 5% 19% 41% 35%
7 VIDOVSZKY Robert T. - - - 5% 27% 51% 15%
8 SARON Mitchell S. - - - 1% 9% 34% 56%
9 WESTERN Rafael - - 3% 13% 32% 37% 15%
10 DI TELLA Pascual M. - - 1% 10% 39% 50%
11 MA Jonathan D. - - 2% 13% 37% 40% 7%
12 BOOTH Zaheer - 3% 17% 39% 35% 5%
13 TE VELDE Noah C. - 3% 13% 29% 33% 18% 3%
14 PARK Donghwan - 2% 10% 27% 37% 22% 3%
15 PERRIER Clement 3% 17% 35% 32% 12% 2%
16 STONE Ben 3% 23% 42% 26% 5% -
17 WALKER Christopher J. - - 3% 20% 52% 25%
18 DOLEGIEWICZ Filip - 1% 6% 26% 46% 22%
19 SOUDERS Peter F. - - - - 5% 31% 64%
20 HARLEY Colby A. - 3% 14% 31% 34% 16% 2%
21 SHAINBERG Jonah L. - - - 1% 7% 33% 58%
22 REESE Aaron S. 2% 12% 30% 34% 18% 4% -
23 IGOE Benjamin - - 1% 12% 43% 43%
23 KARAM Tariq A. - 1% 10% 32% 43% 13%
25 SKEETE Kamar A. - - - 2% 16% 46% 36%
26 GREENBAUM Maxwell H. 2% 13% 29% 32% 18% 5% -
27 SIERADZKY Dawson 1% 8% 25% 35% 24% 7% -
28 RIVERA Inigo Franco 2% 12% 28% 33% 20% 5% -
29 BIERNACKI Maciej L. - 3% 13% 31% 35% 17% 1%
30 BARNETT Adam 5% 24% 39% 25% 6% -
31 SHEPANEK Noah M. 1% 6% 21% 35% 27% 9% 1%
32 WILLIAMS Nolan E. 1% 11% 30% 36% 18% 3% -
33 SOLOMON Daniel P. - 2% 11% 32% 41% 14%
34 SPEAR Jeff - - - 1% 9% 38% 52%
35 ATTIG Will T. - 3% 13% 31% 35% 16% 1%
36 COSTIN Michael V. - - - 5% 29% 66%
37 CHAYEVSKY Kirk 2% 11% 28% 34% 20% 5% -
38 HOLMES Aiden G. 29% 42% 23% 5% - -
39 SHIN Richard J.H. 5% 23% 37% 26% 8% 1% -
40 KUPANOFF Dimitri N. - 4% 19% 39% 30% 8% 1%
41 LIANG Connor 1% 6% 20% 34% 28% 10% 1%
42 YANG Ziyi 4% 21% 36% 27% 10% 1% -
43 LAI Adam J. 2% 14% 30% 32% 18% 5% -
44 LEUNG Mark - 4% 17% 35% 32% 11% 1%
45 SCHMITT Trenton R. - 1% 8% 26% 40% 21% 3%
46 MARSEE James 6% 24% 37% 25% 7% 1% -
47 PORTMANN Stein J. 11% 32% 34% 18% 5% 1% -
48 ZU Kevin - 4% 16% 33% 32% 14% 1%
49 KAUFMAN Bradley A. 17% 37% 31% 13% 3% - -
50 STATEN-LUSTY Silas J. 3% 18% 36% 30% 11% 1% -
51 MIKA Casper - 3% 18% 38% 31% 8% 1%
52 ESCUETA Tony V. 2% 14% 31% 33% 16% 3% -
53 BACON Elias (Eli) H. 8% 28% 37% 21% 5% -
54 HONG Marshall Q. 3% 18% 37% 32% 10% 1%
54 MEHTA Sachin N. 3% 19% 40% 30% 7% -
56 KIM Sean G. 16% 39% 32% 11% 2% -
57 BOLTON Dawson E. 6% 32% 41% 18% 2% -
57 DODRILL Grant 13% 35% 35% 15% 3% -
59 BOLTON Braydon A. 10% 34% 37% 16% 3% -
60 DEMAREST Iain 8% 28% 37% 21% 5% -
61 MOON Sean H. - 1% 8% 24% 37% 26% 5%
62 FERNANDEZ Rodrigo 2% 13% 31% 33% 17% 3% -
63 CAPPELLUTI Ryan M. 2% 12% 29% 33% 19% 5% -
64 HU William 1% 5% 19% 34% 29% 11% 1%
65 LI Joshua L. 16% 36% 32% 13% 3% - -
66 HUSSAIN Faaris 8% 27% 35% 22% 7% 1% -
67 JULIEN William A 5% 26% 40% 23% 5% - -
68 CHEN Howard 1% 10% 26% 33% 22% 7% 1%
68 SHANAHAN Adam E. 19% 37% 30% 12% 2% - -
70 DOARES Andrew 3% 15% 31% 31% 16% 4% -
71 LASORSA Matthew 15% 37% 32% 13% 2% - -
72 PRIEST Leighton K. 1% 9% 25% 34% 23% 7% 1%
73 CALLAHAN Jaden P. 5% 26% 39% 24% 6% -
74 FALLICK Ozzie 23% 42% 27% 7% 1% -
75 TONG Qilin 9% 32% 37% 18% 3% -
76 BRADFORD Blake 7% 29% 39% 21% 4% -
77 CLARKSON Cole 10% 32% 37% 18% 3% -
78 SMITH David C. 5% 22% 36% 27% 10% 1% -
79 D'ORAZIO Joseph 22% 43% 27% 7% 1% - -
80 COTTER Liam 23% 44% 26% 6% 1% - -
80 KIM Benjamin H. 10% 31% 35% 19% 5% 1% -
80 BARBER William S. 17% 37% 31% 13% 3% - -
80 SINGER Carson 5% 20% 34% 28% 11% 2% -
84 MICHELL Bailey 1% 10% 26% 34% 22% 6% -
85 JEAN Noe T. 4% 21% 36% 27% 10% 1% -
86 WESLER Logan A. 13% 35% 34% 15% 3% - -
87 RAJA Arnav 15% 37% 33% 13% 2% - -
88 ZIELINSKI Nicholaus M. 5% 23% 38% 26% 7% -
89 CICHOCKI David K. 46% 40% 12% 2% - -
90 KIM Minwook 7% 27% 38% 23% 5% -
91 CORNEJO Jeffrey A. 24% 40% 26% 8% 1% - -
92 YAN Jack P. 14% 33% 32% 16% 4% 1% -
93 RIGGINS Littleton K. 15% 37% 33% 13% 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.