November NAC

Y-14 Women's Foil

Saturday, November 9, 2024 at 8:00 AM

Kentucky International Convention Center - Louisville, KY, 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 TIE Zhihe - - - 1% 11% 40% 47%
2 CHEN Renee - - - - 6% 34% 60%
3 YANG Emma - - - - 5% 28% 67%
3 ZHANG Soleil C. - - - 1% 10% 39% 50%
5 CASCONE Emily - - 1% 8% 39% 53%
6 MCSHERRY Ava - - - 3% 17% 43% 38%
7 HO Addison - - 1% 7% 27% 43% 22%
8 WANG Amabel - - 4% 20% 39% 29% 7%
9 CHO Emily (Euran) - - - - 5% 30% 64%
10 POEI Lauren - - 3% 15% 36% 36% 10%
11 WANG YIRAN - - - - 8% 39% 52%
12 LI Han (Helina) - - 1% 7% 28% 46% 19%
13 WANG CAROL - - 1% 8% 35% 42% 15%
14 PEVZNER Nicole - - - 1% 11% 40% 47%
15 TANG Melody Fujiao - - 1% 7% 26% 43% 23%
16 TSIMIKLIS Aphrodite - 2% 12% 32% 35% 16% 3%
17 YANG Iris - - - - 3% 26% 71%
18 XIE Lillian - - 3% 19% 47% 31%
19 LIU Enjia Sherry liu - - 3% 16% 38% 34% 9%
20 SAIFEE Lamya - - 2% 14% 44% 41%
21 HSU Kaylin - - 1% 8% 31% 46% 14%
22 JOO Natalie - - - 2% 14% 43% 41%
23 SHEN Emilia - - - - - 9% 90%
24 WANG Joanna - - - 2% 15% 42% 41%
25 PARK Zena - 1% 8% 26% 39% 22% 4%
26 YANG Audrey - - - 3% 24% 52% 20%
27 BAE Yooju - - 3% 19% 47% 30%
28 FIELD Elizabeth - 1% 7% 25% 37% 25% 5%
29 HU Jenna - - 4% 29% 48% 18% 2%
30 DIMATULAC Elise Ann - 1% 6% 24% 41% 24% 3%
31 LIU Samantha - - 3% 17% 41% 34% 5%
32 ZHANG Ivy - - 1% 12% 38% 39% 10%
33 PUTHOFF Olivia - - 5% 25% 44% 25% 1%
34 FENG Grace - - - 1% 9% 40% 51%
35 WANG YiXi - - - - 6% 33% 61%
36 MCSHERRY Kayla - 6% 28% 46% 17% 2% -
37 DENG Melissa - - - 5% 21% 44% 30%
38 HAO Danica - - 1% 9% 31% 44% 15%
39 MA Ke 4% 17% 32% 30% 14% 3% -
40 REN Kayley - - 1% 5% 23% 43% 28%
41 ZHOU Chenchu - - - 3% 22% 46% 28%
42 ZOU Ella - - - 3% 16% 43% 38%
43 WU Nicole Moxuan - - 6% 26% 43% 22% 2%
44 PARK Lina - - - 7% 32% 43% 17%
44 LI Alice - 3% 16% 36% 33% 11% 1%
46 ORRINGER Lottie - 2% 14% 36% 35% 12% 1%
47 LI Olivia 2% 16% 40% 31% 9% 1% -
48 BEAVER Ava - - 3% 18% 42% 31% 6%
49 YACOBUCCI Nadia - 2% 15% 36% 34% 12% 1%
50 YONG Rosalind - 1% 6% 26% 44% 21% 3%
51 HARRIS Julia - 1% 10% 30% 39% 17% 2%
52 SWANSON Alexa - - 5% 25% 48% 22%
53 KRAHE Annika 1% 12% 35% 37% 13% 1%
54 WATSON Evelyn 2% 17% 42% 31% 7% 1%
55 HUGHES Liv 1% 19% 40% 29% 9% 1% -
56 BING Charlotte - 1% 11% 34% 39% 14% 1%
57 FENG Audrey - - 1% 7% 30% 47% 16%
58 DAVIS Logan - - 1% 11% 36% 42% 10%
58 DUAN Sophie - - 4% 19% 40% 31% 5%
58 LIU Ariana 6% 26% 39% 23% 6% - -
61 CHERNYKH Elina - 5% 23% 39% 25% 6% 1%
61 SHIN Elizabeth 5% 26% 40% 23% 5% 1% -
63 KNAPP Isabella - 2% 16% 40% 33% 9% -
64 WALL Kinzi 13% 36% 35% 14% 2% - -
65 MARISI Gianna - - 2% 10% 31% 41% 16%
66 EYER Brooke 1% 8% 29% 39% 20% 4% -
67 SWOPE Farren 1% 6% 24% 38% 24% 6% 1%
68 MUMMANENI Samyuta - 3% 18% 40% 30% 8% -
69 NEUMANN Erika 7% 29% 38% 21% 5% - -
70 HAN Gian 1% 13% 35% 34% 14% 2% -
70 KIM Claire 1% 6% 21% 34% 28% 10% 1%
70 DAI Iris Yuyang 1% 8% 27% 38% 21% 5% -
73 ZHOU Joi 1% 7% 23% 37% 25% 7% 1%
74 ZELDIN Nadia - - 1% 10% 31% 41% 16%
75 DESERANNO Seren 1% 11% 39% 36% 12% 2% -
76 BROWN Lola - 1% 7% 30% 47% 16%
77 ORBÉ-AUSTIN Maya - 8% 32% 42% 16% 2%
78 CHANG Olivia 19% 43% 30% 7% 1% -
79 MCFARLANE Asha - 2% 11% 30% 37% 18% 3%
80 WU Chingfei Amber - 3% 18% 36% 31% 10% 1%
81 LEVESQUE Brielle - 1% 11% 46% 35% 7% -
82 FAN Sophia 11% 34% 36% 15% 3% - -
83 JOO Sara 2% 20% 40% 29% 8% 1% -
84 KIM Sydney - 1% 9% 27% 39% 21% 4%
85 LIU Ashley 3% 22% 41% 28% 7% 1% -
86 CHOI JULIE - 4% 23% 42% 25% 5% -
87 SAH Madeleine 1% 10% 31% 39% 16% 2% -
88 SCHULTZ Sumi 3% 20% 44% 27% 6% - -
89 CULLIVAN Sienna 1% 12% 32% 36% 16% 3% -
90 TAO Ann - 1% 8% 28% 40% 19% 3%
91 HAN Mia 2% 20% 38% 29% 9% 1% -
92 LI Savannah 1% 10% 31% 36% 18% 4% -
93 LUO Miranda 1% 9% 24% 34% 24% 7% -
94 AL-BATTAINEH Eva 1% 8% 29% 43% 18% 2%
95 SHANG Arianna 37% 43% 17% 3% - -
96 ZONG Melody 2% 18% 37% 30% 11% 2% -
97 CAO Kayla - 7% 27% 38% 22% 5% -
98 CHANG Lydia 5% 24% 38% 25% 7% 1% -
99 LI Joy - 2% 12% 31% 36% 16% 2%
99 WANG DINA C. 5% 24% 38% 25% 7% 1% -
101 IQBAL Mariam 3% 16% 32% 31% 14% 3% -
102 TAN Dorathy 2% 10% 27% 34% 21% 6% -
103 WANG Doreen 2% 22% 55% 19% 2% - -
104 ZOLDAN Nolabelle 29% 46% 21% 4% - - -
105 GUO Audrey - - 5% 26% 44% 24% 1%
106 CHANG Olia 18% 40% 30% 10% 1% - -
107 REZA Fukaina 4% 35% 44% 16% 2% - -
108 YANG Olivia 8% 31% 39% 18% 3% - -
109 BAULIN Zoya 16% 40% 32% 10% 1% - -
110 ZAHRAN Emily 11% 39% 35% 12% 2% - -
110 ZHANG Queeny 23% 48% 24% 4% - - -
110 LI Christina 22% 42% 27% 7% 1% - -
113 OLAWOYE Jadesola 15% 37% 32% 12% 2% - -
114 SINGH Evangelina 2% 20% 40% 29% 7% 1% -
115 HOROWITZ Shuli 5% 26% 41% 23% 4% -
116 YU Sophie 6% 29% 42% 19% 3% -
117 ARYA Leela 30% 45% 21% 4% - -
118 KOU Elisha 2% 13% 32% 36% 15% 2% -
119 MAGALLANES GABRIELA 1% 10% 29% 36% 19% 4% -
120 HUFFMAN Yunia 47% 40% 11% 1% - - -
121 PEVZNER Sophia 31% 53% 15% 1% - - -
122 KOSCIK-AQUINO Emily 16% 52% 27% 5% - - -
123 RIVERA Leahy 11% 45% 34% 9% 1% -
124 GE Lena Lan 11% 37% 37% 14% 2% -
125 FRASER Morgan 15% 35% 32% 14% 3% - -
126 KIM Lauren 7% 28% 37% 21% 5% 1% -
127 MURPHY Genevieve 38% 42% 17% 3% - - -
128 MATTUPALLI Ashwika 6% 25% 39% 23% 6% 1% -
129 OS Danielle 10% 36% 37% 15% 2% - -
130 HAFEZ Sahar 16% 38% 32% 12% 2% - -
131 MAEDA Hotsumi 28% 47% 21% 3% - - -
132 FECHER Lily 60% 34% 6% - - -
133 HU Sophie 2% 16% 38% 32% 11% 1% -
134 DONG Iris 6% 28% 39% 21% 5% - -
135 CHOI Cara 24% 44% 26% 6% - - -
136 HSIAO Ariya 4% 33% 45% 16% 2% - -
137 FEDER Acadia 36% 42% 18% 3% - - -
138 SHAOOLIAN Maya 6% 32% 39% 19% 4% - -
139 ROUSH Rowynn 67% 30% 3% - - - -
140 SHTEPA Sofia 61% 34% 5% - - - -
141 REDEMANN Reagan 63% 31% 5% - - - -
142 PARANJAPE Ojasvi 61% 33% 6% - - - -
143 LEBEL Anais 2% 13% 32% 34% 16% 3% -
144 VENZON Makena Jane 15% 38% 33% 12% 2% - -
145 OTTAVIANO Maris 47% 45% 8% - - - -
145 JOESUF Aurielle 36% 47% 15% 2% - - -
147 AL-BATTAINEH Hana 41% 45% 13% 1% - - -
148 LI Sophia 43% 42% 13% 2% - - -
149 LING Camryn 66% 29% 5% - - - -
150 TREMBLAY Ariane 4% 18% 34% 30% 12% 2% -
151 JOESUF Thea 73% 24% 2% - - - -

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.