AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-14 Women's Épée

Sunday, October 8, 2023 at 8:00 AM

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 KOZLOWSKI Maya M. - - - - 1% 14% 85%
2 MCCLURE Samar - 1% 6% 21% 37% 29% 5%
3 LIN Ariel - - - 3% 15% 41% 41%
3 XU Serena - - - 1% 9% 36% 54%
5 CARRIER Meredith - - - - 3% 25% 71%
6 BEAVER Ava - - - 3% 32% 65%
7 ABUELFUTUH Sama - - - 1% 12% 42% 44%
8 MOLLINIER Angel - - 2% 12% 34% 40% 12%
9 WANG Jessie - - - 1% 10% 36% 53%
9 HABEK Sophia - - - 1% 13% 49% 37%
11 XU Chenyu - 2% 14% 34% 35% 14% 1%
12 NGUYEN Renee - 2% 11% 30% 38% 18% 1%
13 CHEN Stephanie - 1% 9% 34% 44% 12%
14 SALAZAR Emma 1% 10% 29% 35% 20% 5% -
15 WANG Ziqiao (Claire) - 1% 6% 22% 41% 30%
16 BLANCO Ariia - 4% 18% 36% 32% 10%
17 CAMAMA Tessa - - - 2% 14% 48% 36%
18 BURICEA Ada - - 1% 6% 29% 46% 18%
19 WANG Victoria - - - 1% 11% 40% 47%
20 BUCA Nora - 2% 14% 36% 37% 10% 1%
21 KANE Chloe - 1% 8% 25% 37% 23% 5%
22 WU Jessica - 4% 17% 36% 33% 10%
23 LEE Valerie - 6% 24% 38% 25% 6% -
24 LI Yunxuan (Joy) - 1% 8% 25% 39% 23% 4%
25 WANG Aria - 1% 9% 27% 37% 22% 4%
26 SCHOR Elisabeth - 2% 12% 29% 35% 18% 2%
27 HE Anna 1% 9% 28% 37% 21% 4%
28 CHIOU-WILLIAMS Matea 2% 15% 34% 33% 14% 2%
29 KANDALA Aanya 4% 19% 35% 30% 12% 2%
29 YUNG Bethany 2% 15% 34% 33% 14% 2%
31 HANKINS Morgan - 1% 6% 23% 42% 28%
32 XU Jessica - 2% 13% 33% 36% 15% 1%
33 WANG Zoe - - - 1% 6% 32% 61%
34 GUAN Isabella - - - 2% 15% 42% 41%
35 MYRAH Vivienne - - 1% 5% 21% 42% 32%
36 PEI Claire 1% 12% 33% 35% 16% 3%
37 DYMAR Anna 2% 14% 32% 33% 16% 3%
38 LEE Emily - - 4% 22% 45% 24% 4%
39 DWIGGINS Reese - 3% 18% 36% 31% 11% 1%
40 LEE Adelynn 1% 12% 36% 36% 13% 2% -
41 ZHAO Emma - 2% 13% 31% 34% 17% 3%
42 LIN Isabel - 1% 5% 19% 37% 31% 8%
43 AIRES Julia - 1% 7% 26% 42% 25%
44 LEE Kaitlyn 11% 32% 35% 18% 4% -
45 JAQUISH Zoey 1% 14% 42% 34% 8% -
46 CAYETANO Audrey 1% 6% 22% 35% 27% 9% 1%
46 ZHAO Yanning 2% 11% 29% 35% 19% 5% -
48 YAN Ximei (Alicia) 3% 19% 38% 30% 9% 1% -
49 YOUSSEF Caroline - 5% 20% 36% 30% 9% -
50 RIVERA MEZA Azul - - 4% 18% 37% 31% 9%
51 LEE Emma 11% 31% 35% 19% 5% 1% -
52 CHEN Julia Z. 1% 9% 28% 36% 21% 5% -
53 GAN Shelby 2% 12% 30% 34% 18% 4% -
54 RADOV Una 10% 33% 36% 17% 4% -
55 HOLDEN Helena 1% 7% 22% 35% 26% 8% -
55 MERRIMAN Rie 7% 31% 38% 19% 5% - -
57 SCANLAN Alina Nev 3% 18% 35% 30% 12% 2% -
58 KELMAN Nora 9% 29% 36% 20% 5% 1% -
59 CHI Zoe - 4% 20% 36% 29% 10% 1%
60 RICHARDSON Gianna 1% 10% 28% 36% 21% 4%
61 SIMHADRI Sanjana 11% 32% 35% 18% 4% -
62 EYUNNI Vibha 9% 35% 37% 16% 3% -
63 GARINEY tanvi 7% 27% 37% 22% 6% 1% -
64 MADANNAVAR Trisha 5% 20% 34% 28% 11% 2% -
65 LI Chloe 6% 25% 37% 24% 7% 1% -
66 SHERMAN Olivia 1% 10% 27% 35% 22% 6% -
67 SUN Zhanwen 4% 19% 34% 29% 12% 2% -
68 ZHU Riley - 3% 15% 33% 32% 14% 2%
69 FISCHBEIN Quinley - 1% 7% 24% 38% 26% 4%
70 LI Carlie 4% 21% 36% 28% 10% 2% -
71 SUN Karolyn - 8% 34% 43% 14% 1%
72 ZHANG Rose 41% 41% 15% 2% - -
73 BUDMAN Ava 2% 15% 32% 32% 15% 3% -
74 JAIN Prisha 3% 19% 40% 30% 8% 1% -
75 REED Katya 3% 22% 39% 27% 8% 1% -
76 WIMERT Dahlia 17% 38% 31% 12% 2% - -
77 PATTERSON Liliya 1% 6% 24% 37% 25% 6% -
78 TESLENKO Ekaterina - 6% 26% 38% 23% 6% -
79 DENEALE Lucia 1% 11% 30% 35% 18% 4% -
79 ARULKUMAR Lashia 10% 30% 35% 19% 5% 1% -
81 TEACHWORTH Samantha 7% 25% 36% 24% 7% 1% -
82 RAPTIS Layla 20% 42% 29% 8% 1% - -
83 DING Calista 2% 15% 37% 35% 11% 1% -
84 BURKS Madison 3% 17% 36% 32% 11% 1% -
85 TISHKOVA-ROBERTS Daria 25% 41% 26% 7% 1% -
86 LEE Grace 10% 46% 35% 9% 1% -
87 GIERAT-KATZ Izabella 4% 22% 36% 27% 9% 1% -
88 ZU Jacqueline 37% 42% 18% 3% - - -
89 MAI Blair 28% 46% 22% 4% - - -
90 REN Ivanka 11% 36% 35% 15% 3% - -
90 YU Xintong 18% 38% 30% 11% 2% - -
92 ALI Zoya 14% 39% 34% 12% 2% - -
92 LINARES Olivia 35% 42% 19% 4% - - -
94 SIDDABATHUNI ananya 42% 44% 12% 2% - - -
95 MIXON Ivory 22% 46% 26% 6% 1% - -
96 PADHI Nisha 10% 33% 36% 17% 4% - -
97 PIOVESAN Rachel 41% 40% 15% 3% - - -
98 UEMURA Lyllia 26% 43% 24% 6% - - -
99 WANG Ailly 66% 30% 4% - - -
100 RIVERA Natalie 3% 22% 37% 27% 10% 2% -
101 YOON Claire 58% 34% 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.