AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-12 Women's Foil

Friday, October 25, 2024 at 12:30 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 ZHOU Chenchu - - - - - 16% 83%
2 ZHOU Joi - - - 2% 13% 41% 44%
3 CHAN Mila - - - 4% 37% 58%
3 MA Isabelle - - 2% 17% 57% 25%
5 LI Alice - - - - 1% 20% 79%
6 ZHAO Olivia - - - - 5% 30% 65%
7 NEUMANN Erika - - 1% 10% 31% 40% 18%
8 DAI Iris Yuyang - - - 4% 18% 41% 37%
9 SOE Hayleigh - - 1% 5% 20% 43% 31%
10 WANG Doreen - - - 3% 17% 42% 38%
11 PARK Lauren - - - 4% 40% 55%
12 RUI Jessie - - - - 6% 35% 58%
13 TELEB Farida - - 2% 11% 31% 40% 16%
14 YU Sophie - - - 2% 11% 38% 49%
15 MIYOSHI Kylie - - 1% 13% 56% 30%
16 ARYA Leela - 4% 18% 33% 30% 12% 2%
17 YAO Abby - - - 1% 8% 36% 56%
18 GOITIA Genevieve - - 1% 11% 36% 42% 10%
19 LIU Ashley - - 3% 20% 45% 32%
20 LEE Zoe E. - - - 4% 23% 45% 27%
20 LU Keeva - - 3% 15% 35% 35% 12%
22 LIM Kensie - - 1% 11% 38% 44% 6%
23 LIGERET Stella - - 2% 12% 34% 39% 12%
24 SHEN Gloria - 4% 17% 33% 31% 13% 2%
25 FU Pui Lam (Paisley) - - 2% 13% 36% 40% 10%
26 XIA Isabella - 1% 7% 29% 44% 20%
27 CHANG Lydia - - 5% 21% 43% 31%
28 WU Gloria - 1% 14% 41% 35% 10% 1%
29 LI Joy - - - 1% 15% 72% 12%
30 SAIFEE Sakina - 4% 22% 39% 28% 7% -
31 ZHANG Viviana - - 4% 19% 37% 30% 9%
32 CHUNG Katie 1% 11% 37% 42% 9% -
33 NWODO Naila - - - 5% 24% 46% 25%
34 ZHANG Elizabeth - 1% 8% 28% 38% 21% 4%
35 HONG ELSIE - 3% 15% 31% 33% 16% 2%
36 JOESUF Thea 3% 16% 32% 31% 15% 3% -
37 KIM Natalie - - 3% 16% 39% 36% 6%
38 PAN Samantha - 6% 23% 41% 27% 3% -
39 AHN Hayley 1% 11% 32% 38% 16% 1% -
40 LI Annabelle 1% 9% 30% 39% 17% 3% -
41 THOTA Akira - 5% 19% 34% 29% 12% 2%
42 LIU Mia 3% 18% 37% 30% 11% 2% -
43 LI Audrey - 5% 17% 32% 31% 13% 2%
44 JIANG Ziqing - 1% 8% 32% 43% 16% 1%
45 HSU Rachel - 5% 20% 38% 29% 7%
46 YU Xintong 10% 32% 37% 17% 3% -
47 SAIFEE Zahra - 4% 17% 37% 33% 9%
48 CHENG Audrey - 2% 15% 35% 33% 13% 2%
49 GOWDA Siyona 1% 11% 35% 35% 15% 3% -
50 KIM Ellen - 2% 13% 34% 35% 15% 2%
51 NICOLETTI Thea 2% 14% 31% 33% 16% 4% -
52 MCLANAHAN Jasmine - 4% 21% 42% 28% 5% -
52 GOWDA Adisha 1% 7% 26% 39% 23% 5% -
54 ARUNKISHORE Dakshina 2% 11% 28% 34% 20% 5% -
55 KIM Audrey - 3% 15% 34% 34% 13% 1%
56 PAWAR Sanvi 24% 44% 26% 6% 1% -
57 LIN Avery - 5% 25% 40% 25% 6% -
58 JEANSON Sierra 14% 38% 34% 12% 2% - -
59 LEE Abigail 1% 12% 31% 33% 18% 4% -
60 LIU Doris-Zihan Zhou 4% 23% 40% 25% 7% 1% -
61 SHU Kayla 4% 24% 44% 24% 5% - -
62 LAM Dorris Yandor 8% 41% 39% 11% 1% -
63 LIU Madeleine 58% 35% 7% - - -
64 NAKAZATO Olivia 7% 28% 39% 22% 4% - -
65 WANG Ellen 1% 8% 30% 38% 20% 4% -
66 SAVIOZ Naomi - 3% 15% 36% 34% 12% 1%
67 LIU Anya 1% 12% 30% 34% 18% 5% -
68 SMIRNOV Victoria - 3% 18% 38% 31% 9% 1%
69 KIM Olivia - 7% 44% 37% 11% 1% -
70 HOM Emma 2% 13% 30% 33% 17% 4% -
71 CHEN Aimee - - 5% 22% 38% 27% 6%
72 DESAI Zoya - 5% 23% 42% 25% 5%
73 VALOUEVA Katerina 9% 33% 39% 17% 1% -
74 LUO Olivia 8% 31% 40% 19% 2% -
75 CHEN Yifan 1% 6% 23% 37% 25% 7% 1%
76 CHEN bridgette - 1% 5% 23% 42% 25% 4%
77 FU Joy 7% 25% 35% 24% 8% 1% -
78 KIM Ines 10% 35% 37% 15% 3% - -
79 MAHAPATRA Alisha - - 7% 31% 42% 18% 2%
80 BELL Blake 17% 40% 32% 10% 1% -
81 YU-TAN Claire 11% 35% 38% 15% 1% -
82 FENG Christy 18% 41% 31% 9% - -
83 ZALTZMAN Maya 15% 38% 33% 12% 2% -
84 YOUN Davina 4% 28% 45% 20% 2% -
85 IRELAND Moira 22% 44% 27% 6% 1% -
86 ZHANG Annabelle 7% 30% 40% 19% 4% -
87 GUO Jianing 13% 38% 34% 13% 2% - -
88 STERNAD Pia 12% 31% 34% 18% 5% 1% -
89 LEE Clara 36% 43% 18% 3% - - -
90 KIM Phoebe 33% 47% 18% 2% - - -
91 KIM Rylie 5% 23% 35% 26% 9% 1% -
92 YIN Anthea 14% 48% 30% 7% 1% - -
92 KHANAL Sarah 6% 28% 40% 21% 4% - -
94 CHAI Huantong (Aria) 3% 15% 31% 32% 16% 4% -
95 JUSON Julianne Lauren 41% 52% 7% - - - -
96 SCHOR Katherine 45% 44% 10% 1% - - -
96 FU Angela 23% 45% 26% 6% 1% - -
98 CHEUNG Carabelle 41% 44% 13% 2% - - -
99 YANG Claire 60% 34% 5% - - - -
99 HONDA Emi 58% 34% 8% 1% - - -
101 BASTUNAS Marissa 34% 43% 19% 4% - - -
101 JIANG Ziqi 22% 39% 28% 9% 2% - -
101 FENG Sophia 24% 45% 25% 5% - - -
104 TANG Clementine 26% 50% 20% 3% - - -
105 KAIMAN Tabitha 36% 46% 16% 2% - - -
106 FISHER Sienna 14% 39% 34% 11% 2% - -
106 STOCK Nina 47% 48% 5% - - - -
108 CHEN Catherine 21% 41% 29% 8% 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.