Junior Olympic Championships

Cadet Women's Saber

Monday, February 21, 2022 at 8:00 AM

Salt Lake City, UT, 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 SHOMAN Jenna - - - 1% 7% 33% 60%
2 MIKA Veronica - - 1% 5% 22% 43% 29%
3 POSSICK Lola P. - - - 1% 10% 39% 50%
3 BEVACQUA Aria F. - - 1% 9% 29% 41% 20%
5 DELSOIN Chelsea C. - - - 1% 9% 37% 52%
6 KRASTEV Minna - - 2% 11% 32% 40% 16%
7 FREEDMAN Janna N. - - - 1% 7% 36% 56%
8 WIGGERS Susan Q. - - 1% 9% 30% 41% 19%
9 LEE Alexandra B. - - - - 6% 32% 62%
10 SHI Cathleen - 1% 8% 26% 39% 23% 3%
11 GORMAN Victoria M. - - 1% 5% 23% 43% 28%
12 VADASZ Ibla P. - - 1% 9% 29% 42% 19%
13 CODY Alexandra C. - 1% 9% 33% 42% 15%
14 SINHA Anika - 2% 14% 34% 34% 14% 2%
15 HILD Nisha - - 2% 10% 30% 40% 19%
16 CHIOLDI Mina - - 1% 9% 30% 41% 18%
17 DUCKETT Madison - - 3% 13% 33% 36% 14%
18 HWANG Gabriela M. - - 1% 10% 33% 44% 12%
19 BOIS Adele - - - 3% 17% 42% 38%
20 BLUM Leah I. - - - 3% 17% 43% 37%
21 KER Grace - - 1% 6% 24% 42% 27%
22 ANDRES Katherine A. - - - 2% 15% 41% 42%
23 LIU Sophie - 1% 5% 19% 36% 30% 9%
24 CHIANG Emily - 1% 8% 25% 36% 23% 5%
25 KHAN Alissa 2% 21% 44% 26% 6% -
26 JOHNSON Lydia 1% 13% 33% 34% 16% 3% -
27 SCALAMONI-GOLDSTEIN Charlotte S. - - 2% 14% 35% 36% 13%
28 ENGELMAN-SANZ Madeline A. - - - 1% 8% 35% 57%
29 YUAN Greta - 1% 5% 19% 37% 31% 8%
30 NATHANSON Sammy E. - 2% 13% 33% 35% 15% 2%
31 PAUL Lila - - 1% 10% 34% 42% 12%
32 MCKEE Brynnley 1% 7% 25% 37% 24% 6% 1%
33 GHAYALOD reya - - 1% 9% 30% 41% 20%
34 DANK Dina - - 2% 16% 38% 34% 9%
35 YANG Ashley M. - - 3% 13% 33% 38% 13%
36 LI Amanda C. - - - 2% 15% 42% 40%
37 ALCEBAR Kayla - 1% 5% 20% 39% 31% 5%
38 JUNG Irene - - 3% 14% 36% 38% 9%
39 SCHIMINOVICH Sophia I. - 7% 27% 38% 23% 6% -
39 CALLAHAN Chase J. - - 1% 9% 28% 40% 21%
41 LIN Audrey J. - - 1% 8% 29% 42% 19%
42 LEE Hannah - 1% 7% 24% 37% 25% 6%
43 ENDO Miyuki N. - - 5% 20% 37% 29% 8%
44 MARSEE Samantha - - - 3% 19% 45% 33%
45 LU Amy - - 2% 11% 32% 40% 15%
46 JOHNSON Dagny L. - 1% 10% 30% 37% 19% 3%
47 LU Elaine - - 4% 17% 36% 34% 9%
48 GRULICH Rayaana 10% 31% 36% 19% 4% - -
49 SHEARER Natalie E. - 1% 8% 27% 39% 22% 3%
50 SHINCHUK Ellisha 1% 8% 25% 36% 23% 6% 1%
51 JOHNSTON Lily 3% 19% 39% 29% 9% 1% -
52 HU Michelle 4% 18% 34% 30% 13% 2% -
53 JULIEN Michelle - - 3% 19% 45% 33%
54 WEI JoyAnn 3% 20% 39% 29% 8% 1%
55 FANG Victoria W. - 1% 6% 25% 42% 23% 3%
56 TSE Angelina - 1% 7% 26% 39% 23% 4%
57 EVANS Madelynn 3% 29% 40% 22% 6% 1% -
58 YANG Angelina LeLe - 2% 12% 31% 36% 16% 3%
59 HUNG Anna 1% 10% 27% 35% 21% 5% -
60 MANSPERGER Leena - 5% 23% 37% 26% 7% 1%
60 HE Lizbeth - 5% 19% 35% 29% 11% 1%
62 WANG Zidan 3% 17% 34% 30% 13% 2% -
63 LIM Jovine 1% 9% 29% 37% 20% 5% -
64 NAYAK Indra - 10% 32% 36% 17% 3% -
65 NATH Trisha - 2% 12% 34% 38% 14%
66 SZETO Chloe - - - 5% 24% 44% 27%
67 TONG Jessie - 8% 29% 38% 21% 5% -
68 SPRINGER Ella 1% 8% 25% 36% 24% 7% 1%
69 XU Ellen - - - 4% 19% 43% 34%
70 MULAGARI Sadhika 18% 40% 31% 9% 1% < 1% -
71 ADAMS Morrigan B. - 8% 30% 39% 19% 4% -
72 CHIN Sophia J. - - 3% 19% 40% 30% 7%
73 LEE Sophia - 2% 13% 33% 35% 15% 2%
74 YANG Lea 1% 12% 36% 36% 13% 2% -
75 BALAKUMARAN Maya - 1% 8% 26% 37% 23% 5%
76 LIAO Siwen - 2% 13% 32% 35% 16% 2%
77 WHITESIDES Abigail E. 8% 35% 37% 16% 3% - -
78 HUAI Delilah 3% 16% 33% 32% 14% 3% -
79 PRIEUR Lauren - 2% 15% 40% 34% 8%
80 KIM Marley I. - - 5% 22% 43% 29%
81 BUHAY Rachel T. - - 4% 22% 39% 28% 7%
82 BROCK Sydney - 5% 22% 38% 27% 7% 1%
83 LUKER Sophia - 2% 15% 38% 33% 11% 1%
84 MARYASH Samantha - 4% 21% 39% 28% 7% -
85 LIGH Erenei J. - 1% 10% 31% 36% 17% 3%
86 KANTIPUDI Shrika - 15% 37% 33% 13% 2% -
87 WEI Vivian W. - 2% 12% 30% 36% 18% 3%
88 CHIN Elise 1% 16% 39% 32% 10% 1% -
89 MANN Sophia J. 3% 17% 35% 31% 13% 2% -
90 ELNATAN Mica A. 4% 34% 41% 17% 3% - -
91 FANG sophie 8% 33% 38% 17% 4% - -
92 ZENG Megan - 11% 37% 37% 13% 2% -
92 HUANG MADELINE - 11% 33% 36% 17% 3% -
94 JEONG Katie - 2% 16% 37% 33% 10% 1%
95 LIM Jaslene 15% 36% 33% 14% 3% - -
96 FAN Grace - 8% 29% 37% 21% 5% -
97 TUNG Renee 4% 25% 40% 24% 6% 1%
98 HAMBAZAZA Liisa 1% 9% 30% 38% 19% 3%
99 ERIKSON Kira R. - 2% 12% 31% 36% 17% 2%
100 FERREIRA Alejandra E. 1% 6% 22% 38% 26% 8% 1%
101 NYSTROM Sofia C. - 1% 8% 27% 39% 22% 3%
102 LIN Nicole 1% 23% 41% 27% 8% 1% -
103 CHO Michelle 35% 45% 17% 3% - - -
104 ALFARACHE Gabriella C. - 7% 26% 37% 23% 6% 1%
105 NGUYEN Ella - 9% 29% 37% 20% 5% -
106 HURST Kennedy - 2% 10% 28% 39% 19% 2%
106 CHANG Audrey 1% 10% 31% 36% 18% 4% -
108 MORAN Rhea 10% 33% 35% 17% 4% - -
108 MAKLIN Sofia 1% 7% 26% 37% 23% 6% 1%
110 DAVIS Jayna M. 2% 11% 29% 34% 19% 4% -
111 TODD Phoebe 3% 25% 39% 25% 7% 1% -
112 DENG Brooke - 7% 26% 37% 23% 6% 1%
113 GOSAVI Aabolee 49% 40% 10% 1% - - -
114 HENRY Soraya S. 8% 31% 38% 18% 4% - -
115 GUTHIKONDA Sunanya 13% 35% 34% 15% 3% - -
116 PANIGRAHI Kingsley 14% 45% 32% 8% 1% - -
117 LIU Sydney 12% 46% 34% 8% 1% -
118 NGUYEN Siena 2% 12% 30% 34% 18% 4% -
119 CHEN Kevy 3% 28% 42% 22% 5% - -
120 CHAPMAN-LAYLAND Astrid M. 3% 17% 35% 32% 12% 2% -
121 ALTIRS Kate 11% 32% 35% 18% 4% - -
122 PYO Penelope E. 19% 41% 29% 9% 1% - -
123 CHEN Athena 38% 44% 16% 2% - - -
124 MEDVINSKY Alexandra 12% 33% 34% 17% 4% - -
125 ZOLLER Noelle 14% 36% 33% 14% 3% - -
126 LEE Lauren 3% 18% 37% 30% 11% 2% -
126 WALKER ZaNiya 9% 29% 36% 20% 5% 1% -
128 SCHOEW Margot 21% 44% 27% 7% 1% - -
129 SCOTT Eve 12% 48% 32% 7% 1% - -
130 BUHAY Kirsten M. 5% 35% 39% 18% 4% - -
130 BARNOVITZ Maya - 8% 27% 36% 22% 6% 1%
132 GOMES Diana C. 2% 20% 44% 27% 6% 1% -
133 CARTER Keely 52% 37% 10% 1% - - -
134 BARTON Mele 3% 22% 42% 25% 6% 1% -
135 DIECK Miranda P. 45% 40% 13% 2% - - -
136 PANIGRAHI Emersen 1% 16% 39% 32% 10% 1% -
137 HOLMES Sabrina 75% 23% 2% - - - -
137 HAJEEBU Sreehita 4% 24% 39% 25% 7% 1% -
139 DEANGELO Annabelle 61% 33% 5% - - - -
140 BARRIE Sadie Q. 18% 45% 29% 7% 1% - -
141 LIN Lauren 27% 42% 24% 6% 1% - -
141 MEHTA Mary 74% 24% 3% - - - -
143 DUDNICK Morgan 59% 34% 6% - - -
143 NEWMARK Ellie 59% 34% 7% 1% - -
145 REGANTI Sitara 22% 42% 27% 8% 1% - -
145 SOWERS Lia 20% 42% 29% 8% 1% - -
145 IYER Arushi 73% 24% 3% - - - -
145 BRAMMER-GONZALES Xiomara 96% 4% - - - - -
149 NEELEY Leilani 78% 20% 2% - - - -
150 SHAPONA Lillian 67% 28% 4% - - - -
151 BENZ Addison 75% 24% 2% - - - -
152 FAYETTE Mathilde 90% 9% - - - - -

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.