The future of US Fencing is at stake!

For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

Neil Lazar RYC/RJCC

Cadet Men's Saber

Sunday, September 24, 2023 at 4:00 PM

Floyd Little Athletic Center - New Haven, CT, 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 SHIRPAL Oleksandr - - - 1% 7% 34% 58%
2 MCCARTHY Gabriel - - - 2% 13% 42% 43%
3 KUSHKOV Daniel - - - 4% 18% 42% 36%
3 HU Christopher - - 2% 15% 36% 35% 11%
5 ATWOOD Griffin - - 3% 16% 36% 35% 9%
6 BRANDT Jaden - - 3% 17% 37% 33% 10%
7 CHUNG Connor - - 1% 9% 28% 40% 22%
8 LEE Andrew - 1% 6% 22% 37% 27% 7%
9 CHON Collin - - 1% 9% 30% 41% 18%
10 ZENG Noah - - - 1% 10% 39% 49%
11 ANTHONY Devyn V. - - - 1% 11% 39% 49%
12 PINTO Marcus - - 3% 15% 34% 36% 12%
13 KIM Ethan - - 1% 8% 38% 54%
14 LIN Philip T. - 2% 16% 41% 33% 7%
15 SHIPITSIN Alexander - 1% 8% 32% 45% 14%
16 SEN Christian 2% 16% 39% 33% 9% 1%
17 BERA Enzo - - 4% 15% 32% 35% 14%
18 MEHAN Nicholas - - 1% 10% 40% 48%
19 WANG Daniel - - 1% 11% 32% 39% 17%
20 MUNGOVAN Matthew - 3% 17% 35% 32% 12% 1%
21 PRIEUR Christian F. 6% 25% 38% 23% 7% 1% -
22 NOTOPRADONO Nicholas 2% 13% 29% 32% 18% 5% 1%
23 SHAH Sajan 1% 6% 19% 32% 29% 12% 2%
24 LIN Maxim - - 1% 9% 31% 44% 16%
25 FRANCOIS Alexander C. - 1% 8% 23% 35% 26% 8%
26 EYBELMAN Ariel - 1% 7% 24% 37% 25% 6%
27 ZHAO Lucas - 1% 5% 22% 39% 28% 5%
28 GONG Jerry - - 1% 6% 23% 42% 29%
29 NGUYEN Anthony - 1% 5% 18% 34% 31% 11%
30 LIU Kevin - 1% 4% 16% 33% 33% 13%
31 CLARK Aram - 2% 13% 38% 38% 9%
32 SIMMONS John M. 4% 17% 32% 29% 14% 3% -
33 GONG zihao - 1% 10% 30% 38% 18% 2%
34 TSAO Oliver - 1% 6% 26% 40% 23% 4%
35 BOULAIS Andrew D. - 4% 20% 38% 29% 8% 1%
35 CHOKSI Vihaan - 1% 5% 21% 38% 28% 7%
37 WITCZAK Mateus - 2% 13% 35% 35% 13% 1%
38 MARGULIS Jared - 5% 21% 35% 28% 10% 1%
39 ALMEDA Stanislav 1% 10% 28% 35% 21% 5% 1%
40 SUBA Lucas - 2% 21% 40% 28% 8% 1%
41 LAUB William - - 8% 29% 39% 20% 4%
42 DUMOULIN Gabriel - 3% 14% 33% 35% 14% 2%
43 POWER Alex 2% 20% 39% 28% 9% 1% -
44 LIN Steve - - 10% 34% 37% 16% 3%
45 WEISS Toby 28% 45% 22% 4% - -
46 YOSHEA Henry 15% 41% 34% 9% 1% -
47 PEREIRA Beckham 5% 20% 33% 28% 12% 3% -
48 RIDKY Sam - 2% 13% 31% 34% 16% 3%
49 RYAN Kai - 2% 10% 29% 36% 19% 3%
50 SASSI Ilyas 6% 24% 34% 24% 9% 2% -
50 AO Christopher 1% 9% 27% 35% 21% 6% 1%
52 KATZ Ryan - - 1% 8% 28% 42% 22%
53 WAXLER Ryan - 6% 36% 39% 16% 3% -
54 SAGE Sebastian - 2% 9% 25% 34% 23% 6%
55 COUNTS Nicholas - 2% 21% 40% 28% 8% 1%
56 SWIFT Owen 5% 21% 33% 27% 11% 2% -
57 O'LOUGHLIN Quinlan 2% 16% 35% 32% 13% 2% -
57 BARENBOYM Michael 15% 39% 32% 12% 2% - -
59 CLARK Gabriel - - 3% 19% 40% 31% 6%
60 MANESCU Miron 3% 21% 38% 28% 9% 1% -
61 LEE Griffin 2% 12% 31% 35% 17% 3% -
62 CAMPBELL Tobias 7% 33% 38% 17% 4% - -
63 CHAKRAVORTY Sohan 22% 48% 24% 5% - - -
64 SCHIMEL Luke 30% 45% 21% 4% - -
65 BADUSHOV Anton - 2% 13% 37% 36% 12% 1%
66 PAVLENISHVILI Luke 6% 32% 42% 17% 3% - -
67 CHA James 46% 45% 8% 1% - - -
68 HE Bowen - 5% 23% 38% 26% 7% -
69 VILEMAITIS Tadas 11% 37% 38% 12% 1% -
70 ANSARI Umayr 27% 47% 22% 4% - -
71 COURTIN Frederic 2% 23% 41% 26% 7% 1% -
72 NAYAK Surin K. 3% 16% 32% 30% 15% 4% -
73 BECKWITH Charlie 1% 13% 37% 35% 12% 2% -
74 BUCK Maximilian 8% 31% 37% 19% 4% - -
75 TSAO Alister 4% 22% 37% 27% 9% 1% -
76 ZHANG Ray 14% 34% 32% 16% 4% 1% -
76 MAPES Tanner 72% 25% 3% - - - -
78 HSU Aiden 35% 42% 19% 4% - - -
79 EPLETT Nicholas 9% 36% 39% 14% 2% - -
80 ENGERRAN Michael 37% 52% 10% 1% - - -
81 LIGH Checed 8% 26% 34% 22% 8% 1% -
82 LOO Jason 1% 12% 36% 38% 12% 1%
83 SMITH William 39% 44% 15% 2% - - -
84 BHERWANI Ishaan 47% 47% 6% - - - -
84 COGLIANO Max 24% 42% 26% 7% 1% - -
84 BRUMBAUGH Alex 38% 55% 7% - - - -
84 DICARLO Vincent 50% 39% 10% 1% - - -
84 ARMSTRONG Nathaniel 44% 40% 13% 2% - - -
89 YEHE-NARA William 51% 37% 10% 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.