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Y-10 Men's Foil

Saturday, November 18, 2023 at 11:00 AM

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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 PARK Andrew - - - 4% 20% 42% 33%
2 LEE Joshua - - 2% 11% 31% 40% 17%
3 RAU Shogun - - - 3% 15% 40% 42%
3 LEE Conrad - 2% 11% 27% 34% 20% 5%
5 WANG Waylon - - 1% 7% 25% 42% 25%
6 XU Ethan - 2% 9% 24% 34% 24% 7%
7 TSUI Kaylan Ho Sen 1% 5% 17% 31% 30% 15% 3%
8 WU Silin - - 3% 13% 31% 37% 17%
9 JEON Joohun - - 3% 14% 34% 37% 12%
10 WU Gengze (Daniel) - - 3% 12% 29% 37% 19%
11 TROYANKER Makar 2% 13% 29% 32% 18% 5% 1%
12 SHENOY sean - 4% 17% 33% 31% 13% 2%
13 PARK Kaiden 1% 9% 25% 33% 23% 8% 1%
14 SUN Roy - 1% 9% 25% 35% 24% 6%
15 WANG Eason 1% 5% 19% 34% 29% 11% 1%
16 FOO Kingston - 6% 21% 35% 28% 9% 1%
17 ZHANG Benjamin 1% 8% 23% 33% 24% 9% 1%
18 ALVAREZ Francisco Janusz - 1% 6% 19% 33% 30% 11%
19 TAN benjamin 1% 9% 26% 34% 22% 6% 1%
20 PARK Avan 2% 13% 30% 33% 18% 4% -
21 LU Brandon 1% 6% 20% 32% 27% 11% 2%
22 SHENOY Neil 6% 23% 35% 26% 9% 1% -
23 LEE Roland 9% 33% 36% 18% 4% - -
24 ZUO Thomas 39% 41% 16% 3% - - -
25 LITVACK Jackson 15% 35% 32% 14% 3% - -
26 LIU Michael 6% 26% 37% 23% 7% 1% -
27 CAO Benjamin 18% 36% 30% 13% 3% - -
28 PARK Bryant 8% 27% 36% 22% 7% 1% -
29 MENG Andy 4% 22% 40% 26% 7% 1% -
30 LEE Juneau 1% 10% 28% 35% 20% 5% -
31 MA Justin 5% 23% 37% 26% 8% 1% -
32 TURBAT Travis - 1% 7% 23% 36% 26% 6%
33 NGUYEN Remy 2% 14% 31% 33% 17% 4% -
34 CHOI Owen 10% 29% 33% 20% 6% 1% -
35 LIN Sampson - 4% 23% 41% 25% 6% -
36 HUANG Owen 3% 16% 32% 30% 15% 3% -
37 CHANG Owen 2% 13% 28% 32% 19% 6% 1%
38 WANG Eavan 2% 13% 30% 33% 18% 5% -
39 CHEN Wyatt - 1% 10% 34% 37% 16% 2%
40 CHOI William 25% 40% 25% 8% 1% - -
41 MENG Eric 5% 22% 36% 27% 10% 1% -
42 ANDERSON Stellan 22% 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.