AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Cadet Women's Foil

Sunday, October 27, 2024 at 11:00 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 BAE Yooju - - - 4% 23% 45% 28%
2 XIE Su - - - 5% 22% 43% 30%
3 DENG Melissa - - - - 4% 26% 70%
3 SAIFEE Lamya - - - 2% 11% 38% 49%
5 MU Allison - - - - 4% 29% 67%
6 THERON Zoe - 3% 13% 31% 36% 16% 1%
7 LIU Samantha - - 1% 11% 35% 39% 14%
8 ZHANG Ivy - - - 5% 25% 46% 23%
9 HSU Kaylin - - - 1% 8% 35% 56%
9 WYNN Kylie - - 1% 9% 30% 41% 19%
11 LENK Sophie - 1% 12% 42% 45%
12 DUAN Sophie - - 1% 11% 32% 39% 16%
13 LIU Ariana - - 7% 29% 41% 20% 3%
14 BROWN Lola - - 1% 6% 25% 43% 26%
15 YAO Abby - 1% 13% 37% 35% 13% 1%
16 MANIKTALA Prisha - - - 2% 14% 42% 43%
17 DESAI Esha - 1% 6% 26% 42% 22% 4%
18 REN Kayley - - - 1% 9% 37% 54%
19 POEI Lauren - - 2% 13% 34% 38% 14%
20 LI Joy - - 4% 19% 38% 32% 7%
21 HOVAGHIMIAN Fira - - 2% 12% 36% 39% 11%
22 PENG Serena - - - 5% 23% 44% 28%
23 LI Alice - 1% 10% 33% 41% 14%
24 BOLES Amanda X. - - 3% 18% 38% 32% 9%
25 HAN Gian - 4% 17% 34% 32% 12% 1%
26 CHANG Janelle 1% 10% 35% 36% 15% 3% -
27 LUO Miranda - - 3% 17% 40% 35% 6%
28 GUO Audrey - - 4% 19% 38% 31% 8%
29 TAO Ann - 2% 11% 28% 35% 20% 3%
29 MIYASHIRO Katelyn - 1% 9% 27% 39% 21% 3%
31 YU Sophie - 3% 17% 37% 31% 11% 1%
32 NEUMANN Erika 3% 16% 32% 31% 14% 3% -
33 KIM Sydney - - 1% 9% 31% 41% 17%
34 ZEE Savannah - 1% 12% 35% 37% 14% 1%
35 SWANSON Alexa - - 2% 15% 43% 40%
36 VO Bao-Vy - - - 3% 20% 45% 31%
37 TELEB Farida 4% 19% 35% 29% 11% 2% -
38 WU Chingfei Amber - 1% 7% 26% 39% 23% 5%
39 ZHENG Zoe 1% 7% 23% 35% 26% 7% 1%
40 CUI alivia - - 5% 22% 40% 27% 6%
41 CHAN Ella 3% 23% 39% 26% 7% 1% -
42 ZHANG Queeny 19% 43% 29% 8% 1% -
43 GUAN Adeline - - 2% 11% 36% 38% 13%
44 ZHANG Lian - - 4% 18% 38% 31% 8%
45 HSIAO Ariya 6% 28% 40% 21% 5% - -
46 PENG Charlotte - 7% 30% 46% 17%
47 ZHOU Joi - 5% 19% 35% 30% 11% 1%
48 WILLIAMSON Tessa 10% 38% 38% 12% 1%
49 MA Isabelle - 3% 23% 41% 27% 6% -
49 KENSICKI Phoebe 2% 15% 37% 33% 11% 1% -
51 XIA Isabella 15% 36% 32% 14% 3% - -
52 HUGHES Bailey 6% 29% 40% 20% 4% - -
53 MATTUPALLI Ashwika 2% 14% 31% 32% 16% 4% -
54 LI Chelsea 2% 22% 42% 27% 7% 1% -
55 LAY Apollonia 2% 14% 35% 35% 13% 1%
56 LIU Ashley 3% 20% 38% 29% 9% 1% -
57 YAN Noelle - 1% 5% 18% 37% 33% 7%
58 CHO Karis 1% 15% 44% 31% 8% 1% -
59 HUGHES Olivia - 4% 25% 41% 25% 5% -
60 MONAT Jennifer 1% 6% 20% 34% 28% 10% 1%
61 CHAN Mila - 3% 17% 37% 31% 10% 1%
62 SAH Madeleine 7% 34% 42% 16% 2%
63 HOROWITZ Shuli 2% 13% 36% 35% 13% 1%
64 DING Madison 11% 33% 35% 17% 4% - -
65 TIKHONOVA Vasilisa 4% 19% 35% 29% 12% 2% -
66 DAI Iris Yuyang 2% 13% 30% 34% 17% 4% -
67 DENG Claire 3% 18% 38% 30% 9% 1% -
68 CHANG Olivia 7% 27% 37% 22% 6% 1% -
69 FAN Sophia 22% 39% 27% 9% 2% - -
70 GOEL Riyana - 8% 29% 40% 19% 4% -
71 TIKHONOVA Sofia 3% 17% 33% 30% 14% 3% -
72 CHEN Madeleine 16% 37% 32% 13% 3% - -
73 ZONG Melody - 3% 17% 37% 31% 10% 1%
74 CHUN Ami 36% 43% 17% 3% - - -
75 LUCAS Ava 45% 41% 12% 1% -
76 OTAEGI Elorri 31% 44% 21% 4% - -
77 MANANSALA Zara 33% 47% 17% 2% - - -
78 JUAREZ Sarah 10% 32% 35% 18% 4% - -
79 TAN Shouyin 3% 29% 42% 21% 4% - -
80 KIM Lauren 2% 16% 37% 33% 12% 2% -
80 BHANGOO Paloma 75% 23% 2% - - - -
82 BEOHAR Anika 20% 43% 29% 7% 1% - -
83 DVOIRIS Maya 29% 44% 22% 4% - - -
84 QURESHI Zoya 7% 50% 34% 8% 1% - -
85 SARANGAN Ovia 42% 47% 10% 1% - - -
86 LING Camryn 12% 39% 35% 12% 2% - -
87 FANG Kelervia 9% 29% 35% 20% 6% 1% -
88 LIN Allison 18% 43% 30% 8% 1% - -
89 IDANAWANG Madison 28% 45% 22% 4% - - -
90 IDANAWANG Allison 37% 51% 12% 1% - - -
91 CHEN Chelsea 82% 17% 1% - - - -
92 HSU Rachel 11% 33% 35% 17% 4% - -
93 TAI Taphanie 56% 35% 8% 1% - - -
94 LI Audrey 33% 48% 16% 2% - - -
95 ZHU Yunyao 7% 26% 36% 23% 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.