October NAC

Div II Women's Saber

Monday, October 7, 2024 at 11:00 AM

Atlantic City Convention Center - Atlantic City, NJ, 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 JEON Yuju - - - 2% 11% 38% 49%
2 ATTIA Jasmine - 3% 14% 35% 38% 10%
3 XIE Nora - 3% 15% 33% 32% 14% 2%
3 BARROSO Isabela - - 6% 24% 38% 26% 6%
5 ZHANG Sophie - 2% 11% 29% 35% 19% 4%
6 WANG Jiayi 5% 23% 38% 27% 7% 1%
7 LIU Hannah - 1% 10% 29% 38% 19% 3%
8 GOLDIN Nina - - 3% 17% 41% 39%
9 HU Anna - - 2% 14% 36% 37% 10%
10 PAPAPETROPOULOU ALEXANDRA - - 1% 4% 20% 42% 33%
11 HENRY Soraya S. - 2% 12% 32% 37% 16%
12 LITTLE Avery - - 1% 8% 26% 40% 24%
13 SCHAIBLE Sofia L. - 2% 10% 27% 36% 21% 4%
14 KINKADE Ellie - - 2% 13% 33% 37% 15%
15 ZHANG Ruijia Alexa - 3% 13% 29% 33% 18% 4%
16 KRASOWITZ Lucy 3% 20% 37% 29% 10% 1%
17 MATSUO Kei - - 2% 14% 34% 36% 14%
18 LUKER Hannah 1% 10% 29% 36% 20% 3%
19 WU Yuwei - 2% 10% 26% 35% 22% 5%
20 MERMEGAS Olivia - 5% 19% 34% 29% 11% 1%
21 MUNGUIA Mila - 1% 8% 24% 35% 25% 7%
22 SEHIC Cassandra - - - 2% 13% 40% 45%
23 BROCK Sydney - 3% 14% 32% 35% 15%
24 PRIEUR Lauren - - 1% 8% 35% 56%
25 YUEN Nicole 1% 6% 23% 39% 27% 5%
26 BARBOSA Katia - 2% 13% 30% 34% 18% 3%
27 GOLOVITSER Maya - - 4% 19% 37% 31% 9%
28 BIRNSTILL Reese - - 7% 26% 38% 24% 5%
29 LOO Kaitlyn - 5% 21% 37% 29% 8%
30 CROOKS Riley 1% 8% 26% 37% 23% 5%
31 ELLIS-FURLONG Ava 1% 9% 25% 35% 23% 7% 1%
32 CHI Claire 1% 10% 28% 36% 20% 4%
33 NAMBIAR GEETA MAHESH - - 1% 9% 38% 53%
34 OU Yixuan 2% 11% 29% 35% 19% 4%
35 ISBERG Natalie - 1% 8% 25% 37% 24% 5%
36 SHMULER Fiona - 2% 11% 29% 35% 19% 4%
37 KRIVOSHEEV Alexandra - 3% 16% 32% 32% 14% 2%
38 CRAINE Alexandra E. 2% 10% 27% 34% 21% 5% -
39 STONE Coral - 2% 9% 25% 35% 24% 6%
40 TENG EMMA - - 2% 12% 31% 38% 17%
41 PADANILAM Lily - 4% 19% 36% 29% 10% 1%
42 MYAT Chloe - 4% 17% 34% 33% 12%
43 REAVIS Isabel 5% 21% 35% 27% 10% 1%
44 MCSWEENEY Kylie - 1% 8% 23% 35% 25% 7%
45 MUELLER Amelia D. - 1% 8% 25% 37% 24% 5%
46 GRAJALES Hannah E. - - 2% 12% 30% 38% 19%
47 LI Yitong 2% 15% 34% 32% 14% 2%
48 JEFFORDS Sophia 5% 23% 37% 26% 8% 1%
49 DONDERIS Katherine 1% 11% 31% 37% 17% 2%
50 ALDORT Amanda 15% 36% 33% 14% 3% -
51 NI Sharon - - 1% 6% 25% 43% 26%
52 OCA Merci 6% 22% 35% 26% 10% 2% -
53 NAIR Supriya 1% 8% 24% 36% 25% 6%
54 KWON Ava 7% 28% 38% 22% 5% -
55 HUANG Pierra 15% 35% 32% 14% 3% -
56 UEMOTO Lynn - 1% 22% 40% 27% 8% 1%
57 MCGRAW Sadie 1% 8% 26% 35% 23% 7% 1%
58 SHEARER Alena - 2% 12% 30% 34% 18% 3%
59 HAN Emma - 6% 25% 39% 24% 6% -
60 TURIANO Nadelle 12% 34% 36% 16% 3% -
61 HUANG Neila 3% 16% 33% 31% 14% 3% -
62 LECHALLIER Naya 8% 29% 36% 21% 6% 1% -
63 NEUMAN Ella 4% 19% 34% 29% 12% 2% -
64 BUTMAN Chloe Alexandra 12% 33% 34% 17% 4% -
65 HANLON Lucy - 10% 31% 35% 19% 5% -
66 CASTAGNOLA maria josefina - 3% 15% 31% 32% 16% 3%
67 VATS Ishita 19% 38% 29% 11% 2% - -
68 NAYAK Anika - 3% 16% 34% 32% 13% 2%
69 MERCHANT Aishwarya - 1% 8% 24% 36% 25% 6%
70 NAYAK Esha 1% 6% 21% 35% 29% 9%
71 MACE Eliza M. - - 1% 6% 22% 41% 30%
72 KANG Soeun 5% 25% 39% 23% 6% 1% -
73 XU Emily T. - 1% 8% 24% 36% 25% 5%
74 BARBORIAK Emily 7% 32% 39% 18% 4% - -
75 INSINGA Ava 27% 42% 24% 6% 1% -
76 NADKARNI Marisa 2% 13% 30% 34% 18% 3%
77 MAO anna 10% 34% 36% 16% 3% -
78 BROWNER June 1% 10% 28% 35% 21% 5%
79 NAYAK Antara 9% 28% 35% 21% 6% 1%
80 DANTULURI Shivani 9% 31% 36% 19% 5% 1% -
81 WONG Charlene 11% 36% 35% 15% 3% - -
82 SAINT-PIERRE-MENARD Elora 37% 42% 17% 3% - - -
83 COLBY Mercer 1% 8% 24% 35% 24% 8% 1%
84 RANDALL-COLLINS Shea M. 2% 12% 30% 33% 18% 5% -
85 WEBB Ella 1% 8% 23% 33% 25% 9% 1%
86 WEINSTEIN Hannah 33% 42% 20% 4% - - -
87 MAO Elsa 10% 34% 35% 16% 4% - -
88 SCHOEW Margot 2% 14% 33% 33% 16% 3% -
89 KIRBY Skye 7% 31% 38% 19% 5% - -
90 ANTIL Nikhita 1% 8% 24% 35% 25% 7% -
91 SHELLEY Scarlett 1% 19% 38% 30% 11% 2% -
92 BARNES Sarah 48% 38% 12% 2% - -
93 NAKATA Gwyneth 32% 62% 6% - - - -
94 COOVADIA Malina 6% 26% 38% 23% 6% 1% -
95 DEMARIA Lauren 16% 36% 31% 13% 3% - -
96 LEE Kaitlin 12% 33% 34% 17% 4% -
97 HOLMES Sabrina 5% 23% 38% 27% 7% 1%
98 DSOUZA Shayndel 43% 41% 14% 2% - - -
99 COONEY Alessandra 11% 33% 35% 17% 4% -
100 LOPEZ-ONA Mia 14% 36% 34% 14% 2% -
101 GUTIERREZ Adylia-Rhenee 30% 41% 22% 6% 1% - -
102 SCHOON REBECCA 5% 21% 35% 27% 10% 2% -
103 CRONIN Kayla H. 39% 42% 16% 3% - - -
104 NEWMARK Ellie 38% 42% 17% 3% - - -
105 MCCAWLEY Madeleine 92% 8% - - - - -
106 MANGAT Alexis 62% 36% 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.