USA Fencing National Championships & July Challenge

Y-10 Men's Saber

Monday, July 11, 2022 at 8:00 AM

Minneapolis, MN, 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 TANI tino - - - 4% 20% 42% 33%
2 LIU Victor - - - 2% 14% 42% 41%
3 URSU Marcel T. - - - - 5% 29% 65%
3 LI Howard - - 1% 7% 29% 43% 20%
5 YANG Phillip - - 3% 12% 30% 37% 18%
6 BRIMMER Trey - 1% 6% 27% 44% 22%
7 YU BOWEN - - 5% 25% 46% 25%
8 BAI Evan - 2% 10% 26% 34% 22% 5%
9 ARISTOV Ilya - - 1% 8% 25% 40% 25%
10 AGARWAAL Yohan - 1% 7% 24% 38% 24% 5%
11 KANG Matthew - - 1% 7% 24% 41% 27%
12 WEI Rian - 4% 18% 32% 30% 13% 2%
13 CAO Donald - 2% 17% 41% 32% 8%
14 KHANNA Adamantis - - 2% 13% 41% 44%
15 CHAMBERS Miles - - - 5% 21% 44% 30%
16 CHANG Timothy - 2% 9% 26% 36% 23% 5%
17 SRIVATS Vedh - - 2% 10% 29% 41% 19%
18 JOHNSON Leland - - 2% 12% 33% 38% 15%
19 GREENSTEIN Viktor - 7% 25% 35% 24% 8% 1%
20 XIAO Brayden - 2% 9% 25% 35% 24% 6%
21 SO Morgan - 2% 11% 27% 34% 21% 5%
22 KANG Jeremy - - 3% 14% 35% 37% 11%
23 GU Andrew - 3% 13% 30% 34% 17% 3%
24 ZHANG KAIQI 1% 6% 20% 33% 28% 12% 2%
25 KUMAR Avinash - 1% 9% 26% 38% 23% 3%
26 SANCHEZ Jacob - - 1% 6% 25% 44% 25%
27 DAI Zihou - - 1% 7% 27% 42% 23%
28 TATAR Daniel - 3% 14% 32% 33% 15% 2%
29 WANG Alex 3% 18% 34% 30% 13% 2% -
30 GUAN Adam 5% 23% 35% 26% 10% 2% -
31 BOSITA Brennan 3% 20% 37% 29% 10% 2% -
32 KANTIPUDI Srihaas 29% 45% 22% 4% - - -
33 LIANG Preston 4% 21% 39% 28% 8% 1%
34 HU Harry - - 1% 8% 26% 40% 24%
35 YU Ian - 1% 7% 22% 35% 26% 8%
36 MIAO Heqi - 1% 8% 23% 36% 25% 7%
36 WANG Edward 2% 16% 35% 31% 13% 3% -
38 TAYCHER Aaron - 2% 11% 27% 34% 21% 5%
39 TANG Morgan - 2% 11% 27% 34% 21% 5%
40 DANG Kainoa 1% 8% 26% 36% 23% 6% -
41 MERMEGAS Alexander - - 4% 20% 41% 29% 6%
42 WANG Haohua 18% 40% 30% 10% 2% - -
43 MARTINSON Torm 1% 9% 28% 35% 21% 6% 1%
44 ZHAO Royce - 1% 7% 22% 35% 27% 9%
45 HAO Johnny 1% 7% 23% 35% 26% 8% 1%
46 KOZLOV Lucas - 2% 10% 29% 37% 19% 3%
47 HWANG Hagan - 5% 22% 39% 28% 6%
48 LIAO Sirui - 3% 18% 40% 30% 9% 1%
49 HRISTOV Nickolas - 2% 11% 27% 34% 21% 5%
50 SAGE Nikolai - 1% 7% 23% 36% 26% 7%
51 KUSHKOV Michael - 5% 19% 33% 28% 12% 2%
52 SO Dylan 9% 32% 37% 18% 3% -
53 BURRES kenneth - 3% 14% 32% 34% 16% 2%
54 FRANCOIS Gabriel 1% 11% 30% 34% 19% 5% -
55 HOWARTH Hayes 5% 24% 37% 25% 8% 1% -
56 SONG Aidan 11% 36% 35% 14% 3% - -
57 GRABOWSKI Alexander 17% 39% 31% 11% 2% - -
58 KARAVAS Nicholas 4% 19% 35% 30% 11% 2% -
59 KOU Xiaoyi 22% 40% 27% 9% 1% - -
60 HO Alden 9% 28% 35% 21% 6% 1% -
61 KANIA Alexander 1% 7% 22% 34% 26% 9% 1%
62 MALEK Zak 1% 9% 26% 34% 22% 7% 1%
63 CIECIEREGA MATTHEW 34% 42% 19% 4% - - -
64 CROOKS Andrew 1% 7% 26% 39% 23% 4%
65 BIVIJI Adam 1% 6% 21% 34% 26% 10% 1%
66 WONG Ron 2% 12% 31% 34% 18% 4% -
67 LI Philip 1% 10% 28% 36% 20% 5% -
68 VENKATRAMAN Sushil 23% 41% 27% 8% 1% - -
69 RAMBHIA Smit 10% 40% 37% 12% 2% -
70 CHEN Boaz 12% 34% 35% 16% 3% - -
71 FOUX Jonathan 3% 14% 30% 31% 17% 4% -
72 WANG David 18% 38% 30% 12% 3% - -
73 CHEN Lucas - 1% 8% 25% 37% 24% 5%
74 FU BRANDEN 12% 34% 35% 16% 3% - -
75 AVERY Marcus 13% 33% 33% 16% 4% 1% -
76 YUEN Caleb 9% 28% 34% 21% 7% 1% -
77 LIN Alex 37% 42% 17% 3% - -
78 HAN Kyle 4% 28% 44% 21% 4% -
79 ZHAO Aidan 1% 11% 28% 33% 20% 6% 1%
80 BADMUS Joshua 2% 11% 26% 33% 21% 7% 1%
81 BURRES stuart 9% 32% 37% 18% 4% - -
82 CHAVAN Aditya 8% 32% 41% 16% 3% - -
83 NAFTALI Ori 8% 28% 37% 21% 5% 1% -
84 KAZMI Saif 2% 15% 33% 33% 15% 3% -
84 HOLMES Xavier - 5% 20% 34% 28% 11% 1%
86 SLAVNOV Anton 1% 7% 24% 36% 25% 7% -
86 XIONG Alvin 20% 43% 29% 7% 1% - -
86 YOUNG Parker 19% 39% 29% 11% 2% - -
89 KAUL Ishaan < 1% 4% 17% 33% 30% 13% 2%
90 ZHU Alexander 4% 19% 34% 29% 12% 2% -
91 SALMAN Ibrahim 20% 41% 28% 9% 2% - -
92 LIN Brendan 5% 22% 35% 27% 10% 2% -
93 RAJMOHAN Syon 54% 37% 8% 1% - -
94 FLORES Mateo Pakal 71% 25% 4% - - - -
95 BELHE Hridhaan 26% 42% 25% 7% 1% - -
96 FAVO Christopher 45% 39% 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.