Capitol Clash SYC/RCC & Y8

Y-12 Men's Saber

Monday, January 15, 2024 at 8:00 AM

Gaylord National Resort and Convention Center - National Harbor, MD, 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 YANG Phillip - - 1% 7% 25% 42% 26%
2 URSU Marcel T. - - - - 2% 22% 76%
3 LIU Victor - - 1% 8% 26% 41% 24%
3 WEI Rian - 1% 6% 19% 33% 30% 11%
5 YU Ian - 1% 9% 30% 41% 19%
5 HE Zhikai (kyle) - 4% 19% 37% 31% 9%
7 YU BOWEN - - 3% 19% 43% 32% 3%
8 MIAO Heqi - 1% 5% 21% 39% 30% 5%
9 SRIVATS Vedh - - - 1% 9% 35% 55%
10 LUC Cedric - 4% 15% 30% 32% 16% 3%
11 CHAMBERS Miles - - - 2% 12% 38% 48%
12 DAI Zihou - - 1% 6% 23% 41% 28%
13 HU Harry - - 2% 12% 33% 39% 15%
14 LIN Brendan 1% 6% 22% 38% 27% 6%
15 NGO Emerson - 1% 7% 22% 35% 27% 8%
16 WU Vincent 1% 7% 23% 36% 25% 7% 1%
17 KARAVAS Nicholas - 4% 20% 37% 30% 9%
18 SONG Aidan - 1% 9% 29% 42% 19%
19 ZHAO Royce - - 2% 12% 31% 37% 16%
20 BADMUS Joshua - 1% 7% 22% 35% 27% 8%
21 LI Andrew - - 3% 13% 31% 36% 17%
22 SO Morgan - 1% 11% 30% 35% 18% 4%
23 LIU Jayden 1% 6% 21% 35% 27% 10% 1%
24 YANG Justin 3% 17% 33% 30% 13% 3% -
25 WANG Alex - 2% 12% 32% 38% 16%
26 MERMEGAS Alexander - 2% 13% 38% 38% 9%
27 PERRIN Leo - 2% 16% 41% 35% 6%
28 TITOV Zachary - 1% 10% 28% 35% 20% 4%
29 BIVIJI Adam - 2% 12% 29% 34% 19% 4%
30 ROH Jaden 12% 33% 34% 17% 4% -
31 ISAYENKO Daniel - 2% 13% 30% 34% 17% 3%
32 MOELLER Felix - 4% 17% 34% 32% 12% 1%
33 BAI Evan - - - 4% 18% 42% 36%
34 JOHNSON Leland - - 3% 15% 34% 35% 13%
34 WONG Hawken - - 2% 12% 30% 38% 18%
36 BELAND Riley James "RJ" - - 3% 16% 39% 35% 7%
37 LI Huangziyue - - 2% 12% 31% 38% 17%
38 KANIA Alexander - - 2% 12% 33% 39% 14%
39 YUEN Caleb - - 4% 17% 36% 32% 10%
40 AVERY Marcus - 5% 18% 34% 31% 12% 1%
41 SLAVNOV Anton - 3% 19% 43% 30% 6%
42 YAO John 9% 36% 38% 14% 2% -
43 BRISENO Ethan 2% 13% 31% 34% 17% 3%
44 SIDDAMSHETTY Ishaan - 2% 11% 29% 35% 19% 3%
44 BROOKS Drake 3% 16% 34% 31% 13% 3% -
46 FU BRANDEN 1% 6% 19% 31% 28% 13% 2%
47 GRABOWSKI Alexander - 1% 9% 25% 36% 24% 6%
48 D'AMELJ Edoardo - 3% 13% 28% 32% 19% 4%
48 EARLEY Jack 9% 37% 37% 15% 2% - -
50 LEE Brendan - - - 4% 19% 43% 33%
51 HENRY Cadel - 1% 5% 20% 36% 30% 9%
52 SUH Leo 7% 26% 35% 23% 7% 1% -
53 BURENKOV Matthew 11% 32% 35% 18% 4% - -
53 MHLEY Gavin - 5% 20% 35% 28% 10% 1%
55 KOZLOV Lucas - - 4% 18% 41% 37%
56 AGARWAAL Yohan - 1% 7% 25% 41% 25%
56 MELE Gianni - 2% 11% 31% 39% 17%
58 KOHLER Vaughn 2% 14% 35% 34% 13% 2%
59 BROOKS Theo - 7% 25% 36% 24% 7% 1%
60 TASIKAS Peter 1% 10% 31% 38% 17% 3% -
61 LAU Kyrus 4% 21% 38% 27% 9% 1% -
62 CHAVAN Aditya 7% 25% 36% 24% 7% 1%
63 LIUZHANG Ben 3% 18% 38% 31% 9% 1%
64 YANG yanbo 21% 41% 28% 9% 1% - -
65 PLATT Michael (Trace) 1% 8% 25% 35% 23% 7% 1%
66 LIM JUWANA Maximilian - 2% 11% 26% 33% 22% 6%
67 LEVY Daniel 1% 11% 30% 36% 19% 3%
68 KAUL Ishaan - - 2% 10% 29% 40% 20%
69 ZHANG Simon 1% 7% 24% 37% 25% 6%
70 BENNETT Lachlan 1% 6% 21% 35% 27% 9% 1%
71 CHANG Ethan - 3% 14% 32% 33% 15% 2%
72 MOORE Blaise - 5% 19% 34% 30% 11% 1%
73 LIU Jeremy - - - 2% 17% 51% 29%
74 NG oliver - 1% 9% 26% 37% 23% 5%
74 LIAO Sirui - 2% 10% 27% 34% 22% 5%
74 ROMBERG Sam - - 4% 19% 37% 31% 9%
77 CHAN Ewan 1% 8% 25% 35% 23% 7% 1%
78 LYU Tyler 4% 22% 37% 26% 9% 1% -
79 BADMUS David 8% 28% 36% 21% 6% 1% -
80 BUKZIN Alan 2% 19% 36% 29% 11% 2% -
81 FRANCOIS Gabriel - 3% 15% 33% 33% 14% 2%
82 JAVIER Xavier 4% 18% 32% 28% 14% 3% -
82 WONG Reagan 3% 14% 30% 31% 17% 5% 1%
84 CUSSON William 6% 25% 36% 24% 8% 1% -
85 NAFTALI Ori 10% 31% 35% 19% 5% 1% -
86 ZHANG Weihang 9% 30% 36% 19% 5% 1% -
87 CIECIEREGA MATTHEW - 5% 23% 36% 26% 8% 1%
88 TANJGA Luka 23% 47% 24% 5% - - -
89 CAO HAOTIAN 3% 17% 35% 31% 12% 2%
90 SHAPIRO Leo 3% 16% 33% 32% 14% 2%
91 FAVO Christopher 23% 41% 27% 8% 1% -
92 NORTON Hudson 37% 42% 17% 3% - -
93 TIAN Evan - - 2% 13% 40% 45%
94 BROOKS Isaac 4% 19% 34% 29% 12% 2% -
95 曾 ZIMO - 2% 14% 34% 35% 13% 1%
96 HU Jayden - 1% 7% 22% 36% 27% 7%
96 YI Andrew - 2% 11% 28% 35% 20% 4%
98 DATTILIO Aidan 22% 40% 27% 9% 2% - -
99 FOUX Jonathan 1% 6% 22% 35% 27% 9% -
100 PROSPER Nathaniel 20% 48% 26% 6% 1% - -
101 MAI Ryan 5% 23% 37% 26% 8% 1% -
102 YANG LOUIS 12% 33% 34% 17% 4% - -
103 XUE Conghuan 12% 34% 33% 16% 4% - -
104 ZHANG Aiden 4% 20% 37% 28% 10% 2% -
105 MALEK Zak 3% 14% 29% 31% 18% 5% 1%
106 ZHANG Caleb - 5% 23% 39% 25% 6% -
107 LU Simon 2% 12% 28% 32% 19% 6% 1%
108 WANG Ziyao 10% 29% 34% 20% 6% 1% -
109 ZHERENOVSKY Alan 12% 32% 33% 17% 5% 1% -
110 WANG William 35% 42% 19% 4% - -
110 SUN Leonard 5% 22% 36% 27% 9% 1%
112 STYS Owen 10% 33% 37% 17% 3% -
113 ABREU ACKER Joaquin 6% 29% 41% 20% 4% -
113 KATZ Isaac 41% 41% 15% 2% - -
115 GUERRA Corey 2% 17% 38% 31% 10% 1% -
116 HALPER Benjamin 4% 22% 37% 26% 9% 1% -
117 PETACCHI Leonardo - 3% 14% 29% 32% 17% 4%
118 GU Dean 17% 37% 31% 13% 3% - -
119 DETERMAN Sebastian 2% 18% 37% 30% 11% 2% -
120 BLAIR Campbell - 4% 20% 35% 29% 10% 1%
121 ZHAO Owen 2% 16% 35% 32% 14% 3% -
122 CHEN Brian 8% 28% 35% 21% 7% 1% -
123 DY Azriel 17% 38% 31% 12% 2% - -
124 SONG Jerry 1% 7% 22% 33% 26% 10% 1%
125 JI Derek 12% 33% 34% 16% 4% - -
125 LI Jayden 24% 42% 26% 7% 1% - -
127 PIPKE Garrett 6% 28% 38% 22% 6% 1%
128 LEE Aiden 41% 41% 15% 3% - - -
129 BARRIONUEVO Nicolas 2% 15% 32% 32% 15% 3% -
130 DONNELL Cillian 1% 8% 27% 37% 23% 5%
131 SIERRA Gregory S Sierra - 1% 7% 25% 37% 25% 6%
131 CHEN Kevin 13% 34% 34% 15% 3% - -
133 PEARL Gavin 21% 39% 28% 10% 2% - -
134 LIANG Jialin 59% 33% 7% 1% - - -
135 MCCULLOCH Jack - 2% 11% 28% 34% 20% 5%
136 TOURÉ-DEMARCO Toussaint 1% 13% 38% 34% 12% 2% -
137 BONGIORNO Redding 18% 40% 30% 10% 2% - -
137 LAWLOR Ryan 39% 42% 16% 3% - - -
139 HO Christopher 1% 12% 39% 35% 12% 1%
140 CHEN Anson 12% 39% 34% 13% 2% -
141 SHARMA Ayaan 9% 28% 34% 21% 7% 1% -
142 GONG Johnny 49% 40% 11% 1% - -
143 FAZELINIA Erfaan < 1% 2% 11% 28% 35% 20% 3%
144 MOGUNOV Alan 11% 33% 36% 16% 3% - -
145 PISTILLI James 9% 32% 37% 18% 4% -
146 URQUILLA Devin 44% 42% 12% 2% - - -
146 VALIYEV Aslan 11% 35% 35% 15% 3% - -
148 BERGAN Chase 21% 40% 28% 9% 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.