American Challenge ROC (DIV1A, DIV2, VET) & RJC

Junior Men's Épée

Saturday, October 5, 2019 at 8:00 AM

Madison, NJ - Madison, NJ, 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 CHIN Ethan - 1% 4% 16% 32% 33% 14%
2 KAMBESELES Peter G. - - - 3% 16% 41% 40%
3 BEKKER Mitchel - - 3% 14% 34% 36% 13%
3 CHA Russell W. - - 1% 9% 28% 40% 21%
5 KOKENGE Clark - 1% 6% 20% 35% 29% 9%
6 RODE Damian E. - - 1% 7% 30% 43% 19%
7 MORSE Tyler - 1% 14% 39% 36% 10%
8 INSLER Gabriel C. - - 1% 9% 29% 40% 20%
9 DING Phillip C. 1% 8% 25% 36% 24% 6%
10 BHATNAGAR Nishay V. - - 1% 6% 23% 42% 29%
11 LUKANYUK Lorence - 3% 14% 33% 33% 14% 2%
12 KRONROD Tal - - 4% 18% 37% 32% 9%
13 KAMBESELES Jack M. - - 3% 13% 32% 36% 15%
14 DIXON Samuel - 1% 5% 18% 34% 31% 11%
15 KING Cameron - 6% 32% 41% 18% 2%
16 SHENG Patrick Y. - 1% 8% 28% 41% 22%
17 SMITH Nicholas S. - - 4% 18% 36% 33% 9%
18 MCDERMOTT Brian - - 1% 10% 30% 40% 19%
19 LIEF Isaac R. 1% 11% 29% 34% 19% 5% 1%
20 GANA Jr Jorge M. - 1% 5% 22% 38% 27% 7%
21 WIEDERHORN Ethan 6% 28% 38% 22% 6% 1% -
22 FERREIRA Noah J. - 2% 13% 31% 35% 17% 2%
23 LAVENSTEIN Kinley V. - 2% 15% 37% 35% 10%
24 MARCHANT Albert J. 1% 7% 24% 37% 26% 6%
25 RICHARD Owen - 3% 14% 34% 36% 13%
26 INSLER Ethan C. - 1% 6% 21% 35% 29% 9%
27 SPANO Gideon S. - 2% 9% 24% 34% 25% 7%
28 WHELAN Thomas (Tony) - - 4% 20% 43% 33%
29 DYER Ian E. 14% 37% 33% 13% 2% -
30 WISNIEWSKI Bart 2% 19% 41% 29% 9% 1%
31 JIN Owen 2% 11% 28% 34% 20% 5% -
32 KWAN Hall Gi 24% 44% 26% 6% - -
33 ZHENG Hagen - - 5% 23% 43% 28%
34 GLAZ Nicholas S. 1% 12% 31% 35% 17% 3%
35 FELDMAN Jaemin 1% 8% 25% 37% 24% 5%
36 PANARIN Nicholas (Nick) - - - 4% 18% 42% 36%
37 ZHANG YuJian - - 3% 13% 32% 37% 15%
38 GUI Runlin - 4% 22% 37% 27% 8% 1%
39 MOYSE Alexander S. 1% 11% 30% 36% 18% 3%
40 WU Joseph 2% 11% 28% 33% 20% 6% 1%
41 JIN Alexander - 2% 12% 29% 35% 19% 4%
42 GROSSMAN August - 2% 10% 26% 34% 22% 6%
43 LIU Jack 1% 8% 25% 36% 23% 7% 1%
44 DIAS-LALCACA Kieran P. 3% 15% 30% 30% 17% 5% -
45 SOOMRO Adam A. - 2% 12% 30% 36% 18% 3%
46 MCCOMISKEY Aiden J. 3% 15% 31% 31% 16% 4% -
47 WANG Eric S 3% 14% 30% 31% 17% 4% -
48 YUROVCHAK Andrew T. - 2% 10% 30% 39% 19%
49 LIBSON Tazman - 4% 18% 37% 33% 8%
50 GOHEL Dayus T. 2% 13% 32% 34% 16% 3%
51 LANGTON Sawyer - 2% 11% 30% 35% 18% 3%
51 COLLYMORE Spencer T. - 1% 7% 24% 37% 24% 5%
53 SAM Kory 1% 9% 29% 36% 20% 5% -
54 MAGDA Daniel 2% 14% 33% 33% 15% 3% -
55 FENWICK Luke A. - 4% 18% 34% 30% 12% 1%
56 URQUILLA Marc 1% 6% 21% 33% 27% 11% 2%
57 BAZURO Andrew 9% 29% 35% 20% 6% 1% -
58 STOREY Joseph P. - 1% 5% 22% 42% 30%
59 BHATNAGAR Ayan 17% 41% 31% 10% 1% -
60 DIXON Thomas 2% 15% 34% 32% 14% 3% -
61 SHAH Maximilian A. 1% 9% 27% 36% 21% 6% 1%
62 TONG Chihao 19% 39% 30% 10% 2% -
63 WADE Grayson 22% 41% 28% 9% 1% -
64 CONNORS Jacob 46% 39% 13% 2% - - -
65 MUNROE Shane 3% 17% 35% 31% 12% 2%
66 ZARETSKY Daniel A. 1% 7% 25% 37% 24% 6%
67 TUCKER Owen J. 13% 35% 35% 15% 3% -
68 ZHAO Luhan 4% 26% 39% 24% 6% 1% -
69 PAK Charles - 2% 13% 32% 34% 16% 3%
70 HONG James 23% 39% 27% 9% 2% - -
71 CHEUNG Liyan 2% 15% 33% 31% 15% 3% -
72 PRAKASH Nikhil 46% 40% 13% 2% - - -
73 BARSEMIAN Alexander 15% 40% 33% 11% 1% - -
74 PARK Frederick 7% 29% 38% 21% 5% 1% -
75 ZHENG Christopher 3% 16% 33% 31% 15% 3% -
76 MAAS Sean H. 8% 29% 37% 20% 5% -
77 LI Jeffrey 17% 38% 32% 11% 2% -
78 LEE Alexander 36% 45% 16% 2% - -
79 SIDDIQUI Humza K. - 3% 15% 32% 33% 15% 2%
80 SIMPSON Patrick 4% 22% 37% 27% 9% 1% -
81 SKIFFINGTON Sam 7% 27% 38% 22% 5% 1% -
82 CHOW Maxwell 16% 35% 31% 14% 3% - -
83 ROLLO Emmett H. 7% 25% 35% 24% 9% 2% -
84 BLANCHARD Jonah 24% 50% 22% 4% - - -
85 COTAJ Andrew 15% 42% 32% 9% 1% - -
86 DWYER Michael 21% 41% 28% 9% 1% - -
87 LI Brian 15% 37% 32% 13% 2% -
88 KUMAR Aidan 6% 28% 38% 22% 6% 1% -
89 LACY Hayden 22% 41% 27% 8% 1% - -
90 LONCAR Luka E. 2% 13% 30% 32% 17% 4% -
91 PRADHAN Aryan 53% 37% 9% 1% - - -
92 KHAN Ahmer S. 17% 44% 33% 6% - -
93 KHAN Raaid 20% 41% 29% 9% 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.