April NAC

Y-14 Men's Saber

Friday, April 16, 2021 at 1:30 PM

Fort Worth, TX - Fort Worth, TX, 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 JI Cody Walter - - - - 5% 30% 64%
2 HUANG Ethan F. - - 1% 7% 27% 44% 22%
3 CHON Taylor A. - - 1% 6% 24% 44% 27%
3 MORRILL William - - - 1% 12% 43% 44%
5 WOODWARD Connor - - 1% 5% 22% 43% 30%
6 WANG Eric Y. - - 1% 8% 34% 57%
7 KIM Shaun M. - 1% 11% 36% 39% 13%
8 HJERPE Wade H. - 1% 12% 35% 36% 14% 2%
9 WANG Robert - 1% 7% 22% 36% 27% 7%
10 ZUBATIY Samuel - - 4% 19% 41% 35%
11 KIM Alexander M. - - 2% 14% 33% 36% 15%
12 ERMAKOV Lev - - 1% 9% 31% 41% 18%
13 BERRIO Carter E. - - 2% 18% 39% 32% 9%
14 BABAYEV Gabriel A. - - 3% 14% 35% 36% 12%
15 SHOMAN Noah - 1% 10% 33% 40% 15%
16 VAUGHN Jason 3% 15% 32% 32% 15% 2%
17 WILSON Jude - - - 2% 14% 41% 43%
18 FENG Leo - - 1% 7% 30% 43% 19%
19 BAE Jason I. - - - 5% 25% 45% 25%
20 QIU Nathan - - 1% 9% 27% 40% 23%
21 CHAN Matthew - - 1% 5% 21% 44% 30%
22 HONG Steven - - 8% 28% 37% 22% 5%
23 SHOMAN Zachary - - 5% 25% 44% 26%
24 HOLZ Daniel - - 2% 13% 38% 37% 11%
25 ATANASSOV Vasil V. - - 1% 9% 30% 41% 18%
26 PATIL Aaryan A. - 1% 9% 28% 39% 21% 2%
27 YUN Jake - - 1% 14% 36% 36% 12%
28 LUO George F. - - 7% 27% 37% 23% 5%
29 NG Jeremiah - 1% 10% 34% 40% 15%
30 LIN Daniel - - 4% 24% 40% 25% 6%
30 ZHANG Derek - 3% 16% 33% 33% 13% 2%
32 KUMAR Sachit 39% 45% 15% 1% - - -
33 CHEONG Heonjun - 1% 10% 32% 40% 15% 2%
34 MAY Griffin M. - 4% 18% 39% 31% 8%
35 AVAKIAN Alec - 1% 6% 25% 43% 26%
36 MORALES Jonathan 4% 19% 35% 28% 11% 2% -
37 WANG Nicolas - 2% 12% 32% 36% 16% 2%
38 CHOI Silas - - 6% 25% 41% 24% 4%
39 KWALWASSER Eric 5% 22% 35% 27% 10% 2% -
40 REN James 1% 10% 30% 38% 19% 2%
41 STONE Esmond A. 4% 18% 34% 30% 12% 2%
42 MCCARTHY Gabriel - 6% 24% 40% 26% 4%
43 YANG Dylan - 10% 42% 35% 11% 1% -
44 LIM William J. - 7% 28% 40% 20% 3% -
45 MICLAUS Justin - 8% 27% 37% 22% 5% -
46 SU Landon - 2% 20% 38% 29% 10% 1%
47 KILARI Krish 5% 25% 38% 24% 7% 1% -
48 CHAN Aidan 1% 10% 32% 39% 16% 3% -
49 LIU Christopher X. - 2% 14% 34% 35% 14% 1%
50 KROON Lucas 6% 24% 35% 24% 8% 1% -
51 GONZALEZ Emilio A. - - 3% 18% 39% 32% 7%
52 HUANG Alex F. - - - 5% 26% 48% 21%
53 ANTHONY Devyn V. - - 5% 21% 37% 29% 9%
54 RADY-PENTEK Charles A. 4% 21% 38% 28% 8% 1%
55 DUDNICK Christian 14% 38% 34% 12% 2% -
56 ZHANG Ethan W. 6% 29% 39% 21% 4% -
57 HOLZ William A. - 1% 10% 29% 37% 20% 3%
58 HU Christopher - 2% 10% 27% 35% 21% 4%
59 PRIMUS Nazir - 1% 12% 33% 37% 15% 1%
60 COOK Cole 1% 7% 23% 35% 25% 9% 1%
61 KALPATHY Rohit 3% 21% 38% 28% 9% 1% -
62 HOUTZ Mitchell B. 22% 43% 27% 6% 1% -
63 WU Richard 2% 18% 37% 30% 10% 1% -
64 BELL III Alfred (Tripp) R. 1% 11% 31% 35% 18% 4% -
65 MIYASAKI-CASTRO Masanobu 15% 40% 33% 10% 1% -
66 YU Thomas 2% 23% 40% 27% 8% 1% -
67 TSAI Michael T. 5% 41% 38% 13% 2% - -
68 KERCHER Alexander 1% 14% 35% 33% 14% 3% -
69 JORGESON Charlie 10% 42% 36% 11% 1% - -
69 BYBEE Matthew 75% 22% 2% - - - -
71 NIETO Titus P. 1% 15% 39% 33% 10% 1% -
72 LO Bradley 47% 39% 12% 2% - - -
73 ZHOU James Y. 5% 25% 41% 23% 5% - -
74 LIN Philip T. 8% 28% 36% 22% 6% 1%
75 HUNG Samuel 11% 36% 37% 14% 2% -
76 CRAIG Samuel 9% 28% 36% 21% 6% 1%
77 CARRINGTON IV William T. 4% 19% 34% 30% 12% 2%
78 WILKINSON James 52% 43% 5% - - - -
79 NGUYEN Anthony 35% 44% 18% 3% - - -
80 CHEN Evan P. 1% 11% 34% 36% 16% 3% -
81 GUFFEY Christopher 13% 34% 33% 16% 4% - -
82 TANG Charles 16% 37% 31% 13% 3% - -
83 FLITSANOV Macabee 13% 42% 36% 8% 1% - -
84 DECK Tyson 7% 57% 31% 6% - - -
85 GONG Jerry 42% 41% 15% 2% - -
86 CUNNINGHAM-SNELSON Aahil 16% 41% 34% 9% 1% -
87 CRAIG Andrew 22% 42% 28% 7% 1% -
88 PAN Alex 13% 43% 36% 7% 1% - -
88 RODGERS Jacob 86% 13% - - - - -
90 FANG Eason 15% 42% 33% 10% 1% - -
91 MUNGOVAN Matthew 58% 35% 6% - - - -
92 GUREVICH Savely 33% 55% 11% 1% - - -
92 LIU Alexander 76% 21% 2% - - - -
92 WANG HongXi 14% 41% 33% 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.