AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-14 Women's Saber

Saturday, October 7, 2023 at 4:00 PM

Santa Clara Convention Center - Santa Clara, CA, 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 ZHANG XUANYI - - - - 2% 21% 77%
2 HUAI Delilah - - - - 1% 18% 81%
3 GAUTAM Sahana - - - 1% 8% 36% 55%
3 OCA Merci - 9% 32% 39% 17% 3% -
5 GAY Sasha - 1% 6% 21% 36% 28% 8%
6 KANG Ellie - - - 4% 18% 41% 38%
7 SCHMIDT Isabel - - - - 5% 31% 64%
8 STONE Coral - - - 2% 15% 44% 39%
9 MOK Charlotte - - - 3% 16% 43% 38%
10 LONG Jessie - 3% 17% 35% 33% 12%
11 LIN Annika - - 3% 15% 35% 36% 11%
12 SHEARER Alena - - 4% 21% 42% 28% 4%
13 WANG Jiayi - 1% 4% 18% 35% 32% 11%
14 FENG Alicia G. - 1% 5% 18% 34% 32% 11%
15 KIM Satie - 3% 14% 33% 34% 14% 2%
16 NING Lynn - 2% 13% 34% 37% 13% 1%
17 BAERENWALD Welles - - 1% 8% 29% 44% 18%
18 LIN Elaine - 1% 4% 17% 33% 33% 12%
19 YUEN Nicole 1% 10% 30% 36% 20% 4% -
20 LIU kai yin aria - 1% 12% 32% 36% 17% 2%
21 JIANG Evelyn - - 4% 19% 41% 31% 5%
22 KIM Yeju 1% 6% 23% 37% 26% 7% -
23 YU Stella 1% 13% 34% 34% 15% 3% -
24 SUNG Isabella - 2% 12% 31% 38% 17%
25 SENGUPTA Jia - 3% 13% 29% 33% 18% 4%
26 RAGHURAMAN Anishka 2% 14% 32% 32% 16% 4% -
27 JOHNSON Heaven 1% 6% 20% 32% 27% 11% 2%
28 YE Isabella - 3% 11% 26% 33% 21% 5%
29 HAN Emma 2% 12% 29% 33% 18% 5% 1%
30 LEE Madeleine 3% 17% 36% 31% 12% 2%
31 LIU Hannah 1% 7% 23% 34% 25% 8% 1%
32 KIRBY Skye 37% 41% 18% 4% - - -
33 CONG Anne - 1% 7% 22% 34% 27% 9%
34 YU Skylar 8% 26% 34% 23% 8% 2% -
35 CAI Veronica 1% 10% 27% 34% 21% 6% 1%
36 CHEN Elaine - - 2% 13% 38% 42% 6%
37 WONG Cerise 1% 12% 32% 35% 16% 3% -
38 CAI Joanna 1% 9% 27% 37% 22% 5%
39 ZHANG Olivia 1% 7% 25% 37% 24% 6% -
40 GAIKWAD Ashmiee - 1% 7% 25% 39% 24% 4%
41 YAN Angela - 7% 25% 35% 24% 7% 1%
42 MAO Elsa - 5% 21% 36% 28% 8% 1%
43 LEMMEN Jasmijn 3% 16% 35% 32% 12% 2% -
44 CHANG Annette 3% 15% 30% 30% 16% 4% -
45 ASPIRAS Avery 8% 31% 38% 19% 4% - -
46 DANG Madeleine 13% 36% 33% 14% 3% - -
47 MISHEV Lila - 1% 6% 23% 40% 27% 2%
48 CAO arissa 5% 24% 37% 25% 8% 1%
49 ZHU Elaine - 1% 5% 18% 35% 31% 11%
50 LAUREYNS Ainsley - 3% 16% 36% 32% 11% 1%
51 JUNG Sienna 19% 41% 29% 9% 1% - -
52 TONG Laurie 1% 5% 17% 30% 30% 15% 3%
53 HSIEH Lucia 1% 12% 33% 35% 16% 3% -
54 MAO anna - 2% 14% 32% 35% 15% 1%
55 KO Ariel 1% 17% 40% 32% 9% 1% -
56 ROBBINS Adele 20% 40% 29% 9% 1% - -
57 AKULOVA Eva 7% 28% 39% 21% 5% - -
58 CHANG Kaitlyn 2% 13% 33% 34% 16% 3% -
59 WANG Tina - 4% 20% 38% 29% 9% 1%
60 VILLAMATER Mia Franchesca 3% 21% 37% 28% 9% 1% -
61 GONG suri 5% 22% 35% 26% 10% 2% -
62 HENRY Erin 56% 35% 8% 1% - - -
63 STAPLEY Claire 7% 28% 37% 22% 5% - -
64 KIM Saeren 8% 26% 34% 22% 8% 1% -
65 DOSHI Anika - 4% 17% 34% 31% 13% 2%
66 KIM Alice 31% 45% 20% 4% - - -
67 WONG Natalie 3% 30% 42% 21% 4% - -
68 MEI Chloe 55% 37% 8% 1% - - -
69 SAYONE Liliana 16% 42% 32% 9% 1% - -
70 MERRITT Annabelle 8% 32% 37% 18% 4% - -
71 DEDIA Tamara 20% 39% 29% 10% 2% - -
72 MCCORMICK Karley 40% 41% 16% 3% - -
73 LIANG Cera 1% 12% 34% 34% 15% 3% -
74 PANCHAL Arya 80% 18% 1% - - - -
75 XU Rachel 30% 41% 22% 6% 1% - -
76 BACKES Anastasia 25% 41% 25% 7% 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.