October NAC

Y-14 Men's Saber

Friday, October 29, 2021 at 1:00 PM

America's Center Convention Complex - St. Louis, MO, 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 - - - 3% 15% 40% 42%
2 CHOI Silas - 3% 13% 31% 36% 16%
3 SHOMAN Noah - - - 3% 17% 41% 39%
3 GONZALEZ Emilio A. - - 3% 17% 43% 38%
5 SHOMAN Zachary - - - 3% 16% 41% 39%
6 KIM Shaun M. - - 3% 13% 30% 36% 17%
7 HOLZ Daniel - - 2% 10% 30% 39% 19%
8 PATIL Aaryan A. - 1% 9% 35% 41% 15%
9 BABAYEV Gabriel A. - - - 1% 7% 33% 58%
10 BAE Jason I. - 1% 6% 22% 37% 27% 7%
11 WANG Nicolas - 3% 15% 34% 34% 13%
12 MIYASAKI-CASTRO Masanobu 2% 15% 34% 32% 14% 2%
13 LIM William J. 1% 7% 24% 37% 25% 6%
14 OH Triton - 3% 16% 34% 34% 12%
15 WANG Robert - - 1% 8% 26% 42% 23%
16 KWALWASSER Eric 1% 9% 24% 33% 23% 8% 1%
17 KILARI Krish - 3% 14% 33% 34% 14% 2%
18 ZHANG Ethan W. - 2% 9% 26% 35% 23% 5%
19 PENG Bryan - - 3% 14% 32% 36% 15%
20 YANG Dylan 1% 5% 18% 33% 30% 12% 1%
21 ZENG Noah - 2% 10% 26% 34% 22% 5%
22 QIU Nathan - 1% 6% 21% 34% 28% 9%
23 REN James - 1% 5% 17% 34% 32% 11%
24 ANTHONY Devyn V. - - 4% 23% 45% 28%
25 LIN Daniel - 2% 14% 36% 37% 11%
26 TAO Jeffrey - - 4% 19% 37% 31% 9%
27 KANG Evan 6% 24% 35% 25% 9% 1% -
28 HU Christopher - 2% 10% 27% 35% 21% 4%
28 KROON Lucas 4% 18% 33% 29% 13% 3% -
30 LIU Lawrence 4% 18% 33% 29% 13% 3% -
31 SU Landon - - 3% 14% 35% 38% 11%
32 ZHENG Edward L. - 1% 8% 27% 40% 23%
33 HOTHA Nikhil 3% 16% 33% 31% 14% 3% -
34 MCCARTHY Gabriel - 1% 9% 34% 41% 15%
35 CHEONG Heonjun 1% 8% 24% 35% 25% 7%
36 GAO Albert - 3% 12% 28% 33% 20% 4%
37 RAMANAN Govind 6% 24% 36% 25% 8% 1% -
38 GUFFEY Christopher 7% 26% 37% 23% 7% 1% -
39 TURCK Caspar J. - 1% 5% 18% 33% 31% 11%
39 SUGIURA Samuel 1% 6% 21% 34% 27% 10% 1%
41 BOSITA Carson 2% 11% 28% 34% 20% 5% -
42 VARUKATTY-GAFOOR Sohil 3% 17% 33% 31% 14% 2%
43 HOUTZ Mitchell B. 10% 32% 36% 18% 4% -
44 PATEL Rayn 6% 23% 35% 25% 9% 1%
45 IDRISSI Idris 1% 22% 41% 27% 7% 1%
46 SKARBONKIEWICZ Maksymilian A. 2% 12% 31% 34% 17% 3%
47 ZHOU James Y. 3% 15% 31% 31% 16% 4% -
47 MICLAUS Justin - - 2% 10% 30% 40% 18%
49 KANG evan - 3% 15% 33% 34% 14% 2%
50 GUAN Dennis 2% 11% 28% 34% 20% 5% -
51 NGUYEN Anthony 2% 13% 29% 33% 18% 5% -
52 CHEEMA Hyder - 4% 16% 31% 30% 15% 3%
53 BROU Inkosi 1% 7% 24% 37% 25% 6%
53 JORGESON Charlie 5% 40% 41% 12% 1% -
55 HRISTOV Kris 3% 18% 34% 29% 13% 3% -
56 CHEN Lohen - 1% 9% 25% 37% 24% 4%
56 WANG daniel 1% 6% 22% 35% 26% 9% 1%
58 CHOW William T. 4% 18% 33% 29% 13% 3% -
59 ANAND Rohan - 4% 17% 34% 31% 12% 2%
60 KUMAR Sachit 1% 21% 41% 28% 8% 1%
61 LI Yiwei 1% 11% 29% 35% 19% 4%
62 RAMANAN Jaisimh 1% 10% 27% 34% 21% 6% 1%
63 MEDVINSKY Daniel 3% 16% 31% 31% 16% 4% -
64 FANG Eason 21% 39% 28% 10% 2% - -
65 WU Richard 1% 7% 23% 34% 25% 9% 1%
66 HUANG Maxwell H. 2% 13% 30% 33% 18% 4% -
67 EYBELMAN Ariel 9% 32% 36% 18% 4% -
68 KUSHKOV Daniel - 7% 29% 40% 20% 3%
69 LIN Steve 3% 23% 39% 26% 8% 1% -
70 BELL III Alfred (Tripp) R. 3% 17% 33% 30% 13% 3% -
71 HERNANDEZ Stanton 2% 14% 30% 32% 17% 4% -
72 KERCHER Alexander 5% 26% 39% 23% 6% 1% -
73 MUNGOVAN Matthew 22% 39% 27% 10% 2% - -
74 HOLZ Lucas 3% 29% 47% 19% 3% -
75 DAI Gary 30% 42% 22% 6% 1% -
76 GUREVICH Benjamin 10% 30% 35% 20% 5% 1%
77 KALPATHY Rohit 3% 15% 31% 31% 16% 4% -
78 GUREVICH Savely 54% 36% 9% 1% - - -
79 LEVY Jacob 16% 38% 32% 12% 2% - -
80 OLARIO Raphael 15% 37% 32% 13% 2% - -
81 HERRERA aragon 43% 40% 15% 3% - - -
81 NG Jonathan 8% 26% 35% 23% 7% 1% -
83 PRIEUR Christian F. 4% 22% 37% 26% 8% 1% -
84 KATZ Ryan 26% 41% 25% 7% 1% -
85 HUNG Samuel 1% 9% 26% 34% 22% 6% 1%
86 SHIPITSIN Alexander 5% 21% 35% 28% 10% 1%
87 WILKERSON Jude 81% 18% 1% - - -
88 LIGH Checed 12% 32% 34% 17% 4% - -
89 ANAND Sahil Z. 22% 39% 28% 10% 2% - -
90 LAM Ethan 13% 33% 33% 16% 4% 1% -
91 LIN Philip T. 4% 19% 34% 29% 13% 2% -
92 WANG HongXi 77% 21% 2% - - -
93 POLEYUMPTEWA Connor 10% 38% 37% 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.