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For transparency, fairness, and athlete support, VOTE NOW for:
(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

Jersey Clash RYC/RJCC& Y8

Cadet Women's Saber

Saturday, October 14, 2023 at 4:30 PM

SportsPlex at Metuchen - Metuchen, 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 CHIARELLI Valentina - - - 1% 12% 41% 45%
2 MANKOVA Varvara - 1% 6% 24% 43% 27%
3 MAKLIN Sofia - - - 2% 14% 40% 43%
3 WANG yining - - 2% 14% 43% 41%
5 HUANG Rachael - - 1% 6% 23% 42% 29%
6 KHAN Alissa - - 1% 6% 24% 43% 27%
7 DAMBAL Sasha - - 2% 15% 42% 40%
8 MERCHANT Aishwarya - - 3% 20% 41% 30% 6%
9 LIU Yifei - - - 1% 11% 37% 51%
10 SPEARS Mya B - - 3% 18% 39% 31% 8%
11 GOMERMAN Sophia - - 1% 5% 21% 43% 30%
12 KWON Ava - 2% 10% 28% 37% 20% 4%
13 HENRY Soraya S. - 1% 6% 25% 43% 25%
14 CHIANG Melissa - - 2% 10% 32% 42% 15%
15 ZHENG Valentina - 1% 8% 30% 44% 17%
16 MEDVINSKY Alexandra - - 3% 14% 34% 36% 12%
17 GUGALA Hanna - 1% 9% 27% 40% 23%
18 ZHANG Sophie - - - 3% 16% 42% 39%
19 VINOKUR Anita - 2% 12% 30% 35% 18% 3%
20 BUSH Bethany - 5% 22% 38% 28% 7%
21 KIM Audrey 5% 22% 37% 26% 9% 1% -
22 LEE Alyson 1% 10% 28% 36% 21% 5%
23 HU Anna - 2% 13% 33% 38% 14%
24 BAIREDDY Maya 1% 11% 29% 35% 20% 4%
25 SCHAIBLE Sofia L. - 1% 10% 31% 40% 17%
26 CHOI Charlotte 3% 15% 32% 32% 15% 3% -
27 SHINCHUK Ellisha - - 2% 16% 39% 35% 8%
28 YOUNG Audrey - 1% 8% 26% 38% 23% 4%
29 MONTORIO Lily M. - - 3% 15% 34% 35% 13%
30 MERMEGAS Olivia 2% 16% 36% 33% 12% 1%
31 KANDADAI Lara - 1% 5% 20% 37% 30% 8%
32 KALINICHENKO Yekaterina 2% 13% 31% 34% 16% 4% -
33 LEOU Korina - 5% 20% 36% 29% 9%
34 ALAMI Amira 3% 26% 39% 24% 7% 1% -
35 ATTIA Jasmine - - 3% 14% 33% 36% 14%
36 ILAGAN Ava 2% 16% 38% 31% 11% 2% -
37 HALPERIN Elizabeth H. - 5% 25% 40% 25% 5%
38 PASUPULETI Laya 39% 42% 16% 3% < 1% -
39 KRASOWITZ Lucy 2% 16% 35% 33% 13% 2%
40 BAIK Sarah 1% 10% 39% 37% 12% 2% -
41 LIU Moran - 1% 10% 30% 37% 19% 3%
42 NAYAK Antara 4% 19% 34% 29% 11% 2% -
43 HORVITZ Jacqueline 1% 10% 27% 34% 21% 6% -
44 PROZUMENT Elizabeth 3% 21% 39% 28% 8% 1%
45 RANDALL-COLLINS Shea M. 7% 28% 37% 22% 6% 1%
46 LOURENCO Alexandra 6% 31% 39% 19% 4% -
47 MAGITSKY Leila 5% 25% 39% 24% 6% -
48 KNOBEL Sophia - 1% 6% 22% 37% 27% 7%
49 PRESANTH Nandana - 3% 21% 41% 27% 7% 1%
50 GENTILE Vittoria - 6% 24% 37% 25% 8% 1%
51 MCGRAW Sadie - 2% 14% 33% 35% 14% 2%
52 YU Helen 4% 21% 36% 28% 10% 1% -
53 HANLON Lucy - 4% 18% 34% 31% 12% 2%
54 VISWANATHAN Nishka 14% 35% 33% 14% 3% - -
55 LEE Kaitlin 10% 32% 36% 17% 4% - -
56 RANJAN Diya 6% 26% 39% 23% 5% -
57 AWAD Royce 1% 8% 26% 37% 23% 5%
58 TA-ZHOU Emma - 4% 17% 34% 32% 12% 1%
59 SHELLEY Scarlett 18% 40% 30% 10% 2% - -
60 VATS Ishita 24% 41% 26% 8% 1% - -
61 TIAN Cynthia - 1% 9% 26% 37% 22% 4%
62 REKHTMAN Alice 12% 35% 34% 15% 3% - -
63 NICHOLAS Eva 2% 20% 40% 29% 8% 1%
64 HO Sophia 32% 43% 20% 4% - -
65 PROBASCO Leila - 2% 12% 31% 36% 17% 2%
66 GUHA Surabhi 7% 34% 38% 17% 3% - -
67 LOPEZ-ONA Mia - 2% 13% 34% 39% 12%
68 WANG JiaQi 1% 8% 29% 38% 20% 4%
69 CONNOLLY Vida 2% 14% 34% 34% 14% 2%
70 SUH Gah Ohn Anna 62% 32% 6% - - - -
71 BABBITT Kayla - 4% 17% 34% 31% 13% 2%
72 REN Katherine 2% 15% 34% 32% 14% 3% -
73 SHEN Emily 3% 18% 35% 30% 11% 2% -
74 BIBLER Anna 13% 37% 34% 13% 2% -
75 RIFKIN Lielle 36% 43% 17% 3% - -
76 KHOST Maeve 4% 22% 39% 28% 7% 1%
77 JUILLERAT Elina 26% 42% 25% 7% 1% -
78 KALISHMAN Anna 4% 18% 34% 31% 12% 2%
78 CHANDRA adithi 4% 22% 37% 27% 9% 1%
80 YAN Lena - 3% 15% 34% 34% 12% 1%
81 MCGOWAN Grace 42% 42% 14% 2% - - -
82 WONG Charlene 15% 36% 32% 14% 3% - -
83 ZHANG Ashley - 7% 28% 38% 22% 5% -
84 YAO Annabelle 25% 42% 25% 7% 1% - -
85 KULIK Sophia 35% 49% 15% 2% - - -
86 BROWN Aria 6% 27% 38% 23% 5% -
87 XU Elaine 14% 41% 33% 11% 2% - -
88 COLE Beatrice 62% 32% 5% - - -
89 STEINBERG Lynn 4% 32% 42% 19% 3% - -
90 TSANG Therese 17% 37% 31% 12% 2% -
91 GETZONI Mary 41% 49% 10% 1% - - -
92 MANGAT Alexis 62% 31% 6% 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.