December SJCC + Para NAC

Cadet Women's Saber

Sunday, December 8, 2024 at 8:30 AM

Georgia International Convention Center - Atlanta, GA, 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 TABANGAY Heartlyn - - 1% 6% 24% 42% 27%
2 JIANG Evelyn 1% 8% 25% 36% 24% 6%
3 PANTALEON-MAZOLA Amari - 1% 6% 19% 34% 30% 11%
3 LIU Hannah - 2% 12% 29% 34% 19% 4%
5 CHAN Jolene - 3% 15% 34% 35% 13%
6 WANG Gloria Ruoyan - 2% 10% 30% 40% 19%
7 CHOI Charlotte 3% 18% 34% 30% 12% 2%
8 UEMOTO Lynn 1% 10% 25% 32% 22% 8% 1%
9 NIU Jessica 6% 25% 37% 24% 7% 1%
10 KURAEVA Vasilisa - 1% 7% 22% 36% 27% 8%
11 HU Anna - 3% 13% 32% 36% 16%
12 BUSH Bethany 1% 6% 23% 39% 26% 6%
13 HALPERIN Elizabeth H. 2% 12% 30% 35% 18% 4%
14 MERCHANT Aishwarya - 7% 28% 39% 22% 4%
15 MALEK Zolie - 1% 4% 15% 32% 34% 15%
16 WANG Jiayi - 11% 34% 36% 16% 2%
17 AWAD Royce - 1% 8% 23% 35% 26% 7%
18 GUGALA Hanna - 1% 10% 30% 40% 19%
19 SCHAIBLE Sofia L. - 5% 18% 35% 31% 11%
20 LIU kai yin aria - 4% 19% 34% 29% 12% 2%
21 MERMEGAS Olivia 1% 5% 18% 31% 29% 13% 2%
22 HAMMERSTROM Aria - 1% 5% 19% 35% 31% 10%
23 KONDEV Elizabeth - - 5% 22% 43% 30%
24 MACKAY Katherine 4% 20% 35% 29% 11% 2%
25 CHEN Kevy - 9% 29% 36% 20% 5% -
26 KANG Ellie - 1% 6% 20% 34% 29% 10%
27 BERMAN greta - - 3% 15% 33% 35% 14%
28 DANTULURI Shalini - 4% 18% 34% 32% 11%
29 CHI Claire - 5% 23% 36% 26% 8% 1%
30 CONG Anne 1% 7% 23% 36% 27% 7%
31 LOMOTAN Addison - 5% 18% 32% 29% 14% 3%
32 YUEN Nicole 5% 22% 36% 27% 9% 1%
33 DAMBAL Sasha 1% 6% 19% 32% 28% 12% 2%
34 KU Alathea-Joy - 4% 16% 32% 31% 14% 2%
35 WONG Natalie 1% 6% 20% 32% 27% 12% 2%
36 PABIAN Emilia - - 2% 12% 30% 38% 18%
37 VINOGOROVA Sofiia - 1% 8% 26% 41% 24%
38 MEDVINSKY Alexandra - - 3% 14% 32% 36% 16%
39 GENTILE Vittoria 2% 14% 30% 32% 17% 5% -
40 GOLDIN Nina - - 3% 15% 34% 35% 12%
41 DEHON Inès 1% 11% 29% 34% 19% 5% 1%
41 CHEN Elaine - 3% 13% 28% 32% 19% 4%
41 LEE Alyson 1% 5% 17% 31% 29% 14% 3%
44 MEYERSON Michelle 1% 6% 21% 32% 27% 11% 2%
45 XIAO Cindy 1% 26% 41% 25% 6% 1%
46 DHAR Rana 15% 36% 32% 14% 3% -
47 SPEARS Mya B - 3% 15% 36% 35% 11%
48 FAN Alexandria - 1% 8% 24% 35% 24% 6%
49 HUANG Neila 4% 19% 33% 29% 13% 3% -
50 SINGER Ellery - 5% 20% 34% 28% 11% 2%
50 KIRBY Skye 13% 34% 33% 16% 4% - -
52 KIM Satie 1% 9% 25% 32% 23% 8% 1%
53 MYAT Chloe - 3% 12% 28% 33% 19% 5%
54 GAY Sasha 1% 6% 20% 32% 28% 12% 2%
55 LIN Annika - 4% 18% 33% 30% 13% 2%
55 KIM Audrey 7% 24% 33% 24% 10% 2% -
57 KAUL Tara 5% 20% 33% 27% 12% 3% -
58 KNOBEL Sophia 1% 7% 23% 35% 25% 9% 1%
59 KRIVOSHEEV Alexandra 2% 12% 30% 34% 18% 4%
60 JOHNSON Neema 10% 33% 37% 17% 3% -
61 LI Sonia - 3% 13% 29% 32% 19% 4%
62 KINKADE Ellie - 2% 11% 26% 33% 22% 6%
63 ZHANG Ashley 1% 16% 34% 31% 14% 3% -
64 CASTELO Soleil 1% 18% 37% 31% 12% 2% -
65 LEI Zitong (Meya) - 2% 11% 27% 33% 21% 5%
66 LU QIWEN 35% 41% 19% 5% 1% - -
67 BROWN Aria 4% 20% 35% 29% 11% 1%
68 KIM Saeren 14% 35% 33% 15% 3% -
69 WUNNAVA Ellora 7% 25% 35% 24% 8% 1%
70 STADNIK Emilia 8% 29% 36% 20% 6% 1%
71 TSE Angelina - 1% 6% 23% 41% 28%
72 BUHAY Kirsten M. - 3% 12% 27% 33% 20% 5%
73 LIU Hannah 11% 30% 33% 19% 6% 1% -
74 YU Holly - - 2% 11% 29% 38% 19%
75 DHAR Layla - 1% 5% 16% 32% 33% 14%
76 ZAWADA Milena 5% 26% 37% 23% 7% 1% -
77 HORVITZ Jacqueline 2% 12% 27% 32% 20% 6% 1%
78 MUNGUIA Mila - 4% 20% 36% 29% 10% 1%
78 CHOWDHERY Myra 5% 27% 37% 23% 7% 1% -
80 TA-ZHOU Emma 1% 7% 21% 32% 26% 11% 2%
81 NADKARNI Marisa 1% 7% 22% 33% 26% 10% 2%
82 DANG Kelia - 1% 11% 32% 39% 17%
83 CHIANG Melissa 1% 7% 24% 38% 26% 6%
84 PADANILAM Lily 2% 13% 30% 34% 18% 3%
85 MARTIN Evie 20% 40% 29% 9% 1% -
86 OCA Merci 7% 28% 39% 21% 5% -
87 DIECK Miranda P. 2% 13% 30% 34% 18% 4%
87 TONG Laurie 11% 31% 34% 18% 5% -
89 REN Katherine 3% 17% 33% 29% 14% 3% -
90 LO Chloe - 5% 17% 32% 30% 14% 2%
91 DUDNICK Morgan - 2% 9% 25% 35% 24% 6%
92 PANCHAL Arya 66% 29% 5% - - - -
93 GONG Joy - 3% 14% 31% 33% 17% 3%
94 KWON Ava 1% 9% 25% 33% 23% 8% 1%
95 WANG JiaQi 1% 13% 32% 33% 16% 4% -
96 BERRIOS Catalina 13% 32% 33% 17% 5% 1% -
97 HUANG Pierra 8% 27% 35% 22% 7% 1% -
98 LOURENCO Alexandra 22% 40% 27% 9% 1% -
99 CHAVAN Arya 1% 9% 26% 36% 23% 5%
100 FLEEGER Sophia 29% 43% 23% 5% 1% -
101 WANG Emily 43% 40% 14% 2% - - -
102 LUKER Hannah 2% 12% 28% 32% 19% 6% 1%
103 RANDALL-COLLINS Shea M. 6% 24% 35% 24% 9% 2% -
104 POLSTON Ella 18% 37% 30% 12% 3% - -
105 HAN Emma 6% 24% 36% 25% 8% 1%
106 CHANG Norah 2% 14% 30% 32% 17% 4% -
107 MING Emma 22% 38% 27% 10% 2% - -
108 KHOST Maeve 12% 35% 35% 15% 3% -
108 TURIANO Nadelle 11% 32% 35% 17% 4% -
110 KESSLER Amelia 86% 13% 1% - - -
111 WILFRET Katerina 54% 36% 9% 1% - - -
111 LOZIER Camryn 89% 11% - - - - -

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.