Cobra Challenge SYC/RCC/Y8

Cadet Men's Saber

Sunday, November 27, 2022 at 4:00 PM

Meadowlands Expo Center - Secaucus, 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 WANG Robert - - 2% 10% 29% 39% 20%
2 MICLAUS Justin - - - - 7% 36% 56%
3 KWALWASSER Eric - - - 3% 16% 41% 41%
3 ZENG Noah - - - 2% 14% 44% 40%
5 SHAHZAD Azlan A. - 1% 6% 22% 42% 30%
6 CHTERENTAL Alex - - 1% 7% 27% 42% 23%
7 DENG Andrew - - - 2% 13% 42% 44%
8 SHOMAN Noah - - - 2% 14% 41% 43%
9 OH Triton - - - 4% 18% 41% 37%
10 GONZALEZ Emilio A. - - - 4% 19% 44% 32%
11 HOPPA Luke H. - 1% 6% 23% 39% 26% 6%
12 KILGALLEN William - - 2% 11% 31% 39% 17%
13 HUANG Alex F. - - 1% 8% 28% 44% 20%
14 YE Eric 1% 8% 25% 37% 25% 6%
15 LIU Lawrence - - 1% 9% 29% 41% 20%
16 TURCK Caspar J. - - 2% 11% 32% 39% 16%
17 SHOMAN Zachary - - - 1% 8% 36% 55%
18 LIN Maxim - - 2% 12% 32% 38% 15%
19 ATWOOD Griffin - 3% 14% 31% 33% 16% 3%
19 TENG Matthew - - - 3% 17% 42% 37%
21 OKEEFE Mitchell - - 1% 10% 39% 41% 9%
22 PRIMUS Nazir - - - 3% 18% 42% 36%
23 SHIRPAL Oleksandr - - - 3% 17% 42% 38%
24 SAHAY Kenji - 3% 15% 35% 33% 12% 1%
25 GINSBERG Jordan - 1% 8% 23% 35% 26% 8%
26 WANG Nicolas - 3% 14% 34% 35% 13%
27 GLOZMAN Justin - 3% 15% 34% 35% 13%
28 DEPEW Spencer - 1% 8% 27% 38% 22% 4%
29 GRASSO Sebastiano 8% 28% 36% 21% 6% 1% -
30 DALAL Rohan 1% 9% 29% 37% 20% 4% -
31 YAN William - 5% 21% 37% 28% 8% 1%
32 KIM ELIJAH - 2% 15% 36% 33% 12% 1%
33 WEBER Mattias A. - 1% 6% 24% 39% 26% 5%
33 TU Leo - 2% 13% 33% 35% 15% 2%
35 HO Jacob 4% 22% 39% 29% 7%
36 LIU Kevin - 4% 17% 36% 32% 10% 1%
37 SINGH Angadh - 1% 5% 17% 33% 32% 12%
38 DEKA Tanush - 3% 17% 35% 32% 12% 1%
39 NG Jonathan - 2% 11% 30% 36% 19% 3%
40 FREDRICK Jameer - 4% 20% 39% 29% 8% 1%
41 TANG Shu Hon 1% 5% 20% 34% 29% 11% 1%
42 SHIPITSIN Alexander - 5% 22% 42% 30%
43 CHEN Samuel 1% 10% 27% 33% 21% 7% 1%
44 KOGAN Nikita 1% 6% 24% 38% 24% 6% 1%
45 SUGIURA Samuel - - 1% 14% 43% 35% 7%
46 TASIKAS Stylianos - - 1% 7% 25% 42% 25%
47 FELDMAN Drew - 1% 6% 23% 39% 26% 5%
48 FIELDS Matthew S. - - 4% 20% 38% 30% 7%
49 WANG Justin - 1% 8% 28% 39% 21% 3%
50 VOSS Jeffer - 2% 12% 30% 34% 18% 3%
51 NOURELDIN Gabriel - - 1% 7% 28% 45% 19%
52 ANTHONY Devyn V. - - 1% 10% 31% 42% 15%
53 BODKIN Jake M. 1% 7% 22% 34% 27% 9% 1%
54 GILSON Lucas B. - - 1% 6% 22% 41% 30%
55 ANAND Sahil Z. 1% 10% 30% 36% 18% 4% -
56 DENBROEDER Ronald (Mackie) - 2% 14% 33% 33% 15% 3%
57 DIMATTEO Michael 1% 8% 26% 35% 23% 7% 1%
58 LASKOW Oliver 16% 38% 33% 12% 1%
59 JONES Elijah 18% 37% 30% 12% 3% - -
60 SHI Gadsden - 2% 13% 31% 35% 17% 3%
61 HU Christopher - - 2% 13% 35% 40% 10%
62 ZHAO Lucas 1% 12% 31% 34% 17% 4% -
63 GONG Jerry - 1% 6% 22% 37% 28% 7%
64 OH Aster 5% 22% 36% 27% 9% 1%
65 CHUNG Connor - 5% 18% 33% 29% 13% 2%
66 KATZ Ryan - 1% 6% 22% 38% 28% 6%
67 POSY Daniel 1% 9% 26% 35% 22% 6% 1%
68 ZHENG LEON - 4% 22% 39% 27% 7% 1%
69 KUSHKOV Daniel - 1% 6% 21% 35% 28% 9%
70 YOO Maxwell - 2% 11% 28% 35% 19% 4%
71 XIA Eric 1% 9% 27% 35% 21% 6% 1%
71 SHAH Sajan 1% 10% 30% 37% 19% 4% -
73 KIM Theodore 27% 41% 24% 7% 1% - -
74 BERA Enzo - 1% 9% 25% 36% 24% 5%
75 LIN Philip T. 3% 20% 37% 28% 10% 1% -
76 DOWNEY Baran - 2% 16% 34% 32% 13% 2%
77 KIM Ethan - - 3% 17% 37% 34% 9%
78 BRANDT Jaden - 5% 21% 37% 29% 8%
79 ALAVE Kyle 2% 14% 32% 34% 16% 3%
80 SUN Bill 16% 44% 30% 8% 1% - -
81 MARGULIS Jared - 5% 21% 35% 28% 9% 1%
82 LIU Isaak - 6% 27% 45% 19% 3% -
83 SEN Christian 7% 28% 38% 21% 5% 1% -
84 LEE Andrew 8% 31% 37% 19% 4% -
85 BUIKEVICH Ihnat 3% 18% 36% 31% 11% 2%
86 ZHU Shao - 5% 20% 37% 29% 8% 1%
87 VAROQUA Nalby 2% 18% 37% 31% 11% 2% -
88 ZHAO Andy 10% 32% 36% 18% 4% - -
89 HERR Gabriele 2% 15% 32% 31% 15% 4% -
90 LEONARD Charles 1% 7% 23% 34% 25% 9% 1%
91 SHINCHUK Daniel 2% 14% 30% 32% 17% 4% -
92 LIU Frederick - 5% 19% 32% 29% 13% 2%
93 MATTOO Surya 2% 16% 35% 32% 13% 2% -
94 LAUB William 2% 15% 39% 32% 11% 2% -
95 BONETTI Brayden 1% 10% 31% 37% 18% 4% -
95 MANESCU Miron 16% 36% 31% 13% 3% - -
97 MEYERSON Jacob 2% 14% 33% 33% 15% 3% -
98 REHM Liam 18% 38% 30% 11% 2% - -
98 KMETA-SUAREZ Graysen 62% 32% 6% - - - -
100 FTAIHA Ezra 9% 35% 41% 14% 1% - -
100 NGUYEN Anthony - 2% 12% 27% 33% 20% 5%
102 KEIPER Benjamin 20% 42% 29% 9% 1% - -
103 PERRON Robert - 1% 8% 26% 38% 22% 4%
103 EYBELMAN Ariel - 3% 14% 30% 32% 17% 3%
105 LEE Ashe - 6% 24% 37% 25% 7% 1%
106 ANSARI Umayr 40% 45% 13% 2% - - -
107 FENG Weiting (Ryan) 12% 34% 34% 16% 4% - -
108 SHANKAR Karthik 2% 11% 29% 34% 19% 5% 1%
109 GUREVICH Savely 14% 37% 34% 13% 2%
110 BHATIA Ekam 25% 41% 26% 8% 1% -
111 ZHOU Grant 4% 21% 36% 27% 9% 1%
112 LIN Felix - 6% 28% 39% 22% 5% -
113 WANG Max 4% 19% 34% 28% 12% 2% -
114 MATTOO Deven 21% 41% 28% 9% 1% - -
115 CHEN Jonathan - 2% 10% 27% 35% 22% 4%
116 ALMEDA Stanislav 9% 34% 38% 16% 3% - -
117 LEE Anderson 13% 49% 29% 7% 1% - -
118 KWON Kenneth 24% 46% 24% 5% - - -
118 VILEMAITIS Tadas 25% 44% 25% 6% 1% - -
120 LIU Daniel - 5% 18% 35% 30% 11% 1%
121 LIGH Checed 15% 39% 34% 11% 2% - -
122 BUCK Maximilian 34% 43% 19% 4% - - -
123 ARORA Pranav 62% 33% 5% - - - -
124 HUANG Maxwell H. 3% 19% 39% 29% 9% 1% -
125 KAUFFMAN James 20% 41% 29% 9% 1% - -
126 KUMAR Arjun 38% 42% 17% 3% - -
127 VAHABZADEH Jake R. 9% 34% 36% 17% 4% - -
127 COURTIN Frederic 10% 31% 35% 19% 5% 1% -
129 WONG Caleb W. 9% 32% 37% 18% 4% - -
130 LIM Brandon 3% 25% 39% 24% 7% 1% -
130 TAN Vick 5% 26% 39% 23% 6% 1% -
132 JIN David 18% 45% 31% 6% - - -
133 LICHTERMAN Jakub 5% 22% 36% 26% 9% 2% -
134 MACDERMOTT Rowan 18% 40% 30% 10% 1% - -
135 KAY Gabriel 34% 42% 20% 4% - - -
136 HONG Aidan 43% 42% 14% 2% - - -
137 SINHA Ishaan 46% 42% 11% 1% - - -
138 TUNG brandon 45% 39% 13% 2% - - -
139 KALOUDIS Sean 6% 26% 39% 23% 5%
140 WANG Michael 32% 44% 20% 4% - - -
141 TSAO Alister 25% 48% 23% 4% - - -
141 ZISLIN Benjamin 53% 36% 9% 1% - - -
143 MAMKIN Nathan 31% 44% 21% 4% - - -

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.