January NAC

Junior Women's Saber

Monday, January 8, 2024 at 1:00 PM

San Jose McEnery Convention Center - San Jose, 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 POSSICK Lola P. - - - 2% 25% 72%
2 MIKA Veronica - - - 2% 14% 43% 41%
3 SULLIVAN Siobhan R. - - - - 4% 30% 66%
3 FREEDMAN Janna N. - - - 1% 11% 39% 49%
5 OISHI Megumi - - - 3% 27% 69%
6 DELSOIN Chelsea C. - - 3% 17% 42% 38%
7 GORMAN Victoria M. - 4% 20% 39% 29% 6%
8 KRASTEV Minna - - 2% 13% 33% 37% 14%
9 LEE Alexandra B. - - - 1% 8% 37% 55%
10 LEE Hannah - - 4% 23% 46% 27%
11 FOUR-GARCIA Madison - 1% 8% 38% 54%
12 MCKEE Brynnley - 1% 8% 27% 37% 22% 4%
13 FESTA Carina - 1% 14% 39% 35% 10% 1%
14 HAMBAZAZA Liisa - 8% 30% 39% 20% 4% -
15 BLUM Leah I. - - 1% 7% 31% 47% 14%
16 TONG Kunling - - 1% 6% 25% 44% 24%
17 LIU Sophie - - - 4% 18% 41% 37%
18 PAUL Lila - 1% 9% 28% 41% 20%
19 ANTHONY Alexia B. - 1% 5% 19% 35% 30% 10%
20 KIM Marley I. - - 2% 14% 36% 38% 10%
21 SHI Cathleen - 1% 5% 25% 49% 20%
22 SHEARER Natalie E. 1% 7% 31% 47% 15%
23 FEARNS Zara A. - - 2% 13% 36% 37% 13%
24 KER Grace - - 2% 12% 31% 38% 17%
25 CALLAHAN Chase J. - 1% 9% 37% 45% 8%
26 FEIG Sela 4% 19% 36% 30% 11% 1%
27 PRIEUR Lauren - 1% 9% 27% 37% 22% 4%
28 ALFARACHE Gabriella C. - 1% 10% 31% 38% 17% 2%
29 GALYEMSKA Viktoriya 1% 21% 40% 28% 9% 1% -
30 SO Catelyn - - 5% 21% 41% 28% 5%
31 CHANG Josephine S. - - 1% 9% 31% 41% 18%
32 HUAI Delilah - 2% 12% 30% 34% 18% 4%
33 ANDRES Charmaine G. - - - 5% 24% 45% 26%
33 WU Helen - 4% 19% 35% 29% 11% 2%
35 LIN Nicole 9% 29% 36% 21% 5% < 1%
36 CHEN Xiaohan - - 1% 7% 30% 51% 12%
37 SCHIMINOVICH Sophia I. - - 1% 9% 34% 42% 14%
38 CHRISTOTHOULOU Olympia C. - 3% 15% 33% 32% 14% 2%
39 HILD Nisha - - 1% 6% 26% 43% 24%
40 BUHAY Rachel T. - - 5% 20% 37% 30% 8%
41 GRULICH Rayaana 8% 30% 36% 20% 6% 1% -
42 ANDRES Katherine A. - - 1% 8% 30% 42% 19%
43 CHEN Ashley - 1% 7% 31% 51% 10%
44 ENGELMAN-SANZ Madeline A. - - 1% 8% 27% 41% 22%
45 HWANG Gabriela M. - - 1% 7% 25% 42% 26%
46 DUCKETT Madison - - 2% 12% 35% 38% 13%
47 ZHANG XUANYI - 2% 12% 30% 35% 18% 3%
48 KHAN Alissa 1% 11% 32% 35% 17% 4% -
49 BEVACQUA Aria F. - - 2% 14% 37% 36% 11%
50 WILLIAMS Chloe C. - - 2% 14% 42% 42%
51 MEDVINSKY Alexandra 8% 30% 39% 20% 3% -
52 ERIKSON Kira R. - 3% 16% 37% 35% 9%
53 TSE Angelina - 2% 11% 29% 35% 19% 4%
54 MUND Ruth - 5% 22% 36% 27% 9% 1%
55 JUNG Irene - - 1% 6% 22% 42% 29%
56 FERNANDEZ Martina - 6% 26% 40% 23% 4% -
57 SHI Julia 9% 34% 41% 14% 1%
58 JOHNSON Dagny L. - 1% 9% 28% 37% 21% 4%
59 TZOU Alexandra - - 4% 19% 41% 35%
60 CHIN Sophia J. - 4% 19% 39% 30% 7%
61 LEMUS-IAKOVIDOU ALEXANDRA 1% 24% 48% 23% 4% -
62 LI Alexis 6% 29% 41% 21% 3% -
63 HUANG MADELINE - 8% 28% 36% 21% 5% -
64 XU Emily T. 20% 44% 28% 7% 1% -
65 LAURI Keira 2% 15% 34% 32% 14% 3% < 1%
66 GHAYALOD reya - - 4% 16% 33% 33% 13%
67 SENOGLU Irmak - 4% 18% 35% 30% 12% 2%
68 XIAO julie - - 5% 18% 35% 31% 11%
69 LU Amy - 1% 14% 41% 35% 9%
70 BUHAY Kirsten M. 22% 42% 27% 7% 1% -
71 CHIN Erika J. - - 1% 10% 42% 47%
72 TSUI Natalie - 1% 10% 30% 38% 18% 3%
73 YU Holly - 6% 27% 39% 22% 5% -
74 HU Michelle 3% 19% 39% 29% 8% 1% -
75 CHAVAN Arya 2% 16% 37% 33% 11% 1% -
76 NGUYEN Siena - 3% 20% 41% 28% 8% 1%
77 GUVEN Coco - 19% 41% 30% 9% 1% -
78 JEONG Katie - 2% 15% 37% 35% 10% 1%
79 YANG Angelina LeLe - - 4% 18% 35% 32% 11%
80 DANTULURI Shalini 1% 18% 37% 30% 12% 2% -
81 RAMIREZ Mirka A. 1% 10% 39% 36% 12% 1% -
82 MAKLIN Sofia 1% 10% 32% 38% 16% 3% -
83 YAO Rainie 3% 18% 39% 33% 8% -
84 VESTEL Mira B. - 2% 10% 29% 40% 19%
85 NATH Trisha - - 5% 26% 45% 23%
86 MENDIOLA RITCHIE Ingrid - 3% 20% 47% 27% 3%
87 LU Elaine 2% 12% 30% 35% 18% 3%
88 DIECK Miranda P. 17% 44% 32% 7% - -
89 LIGH Erenei J. 2% 17% 39% 31% 10% 1%
90 XIKES Katherine E. - 4% 17% 32% 30% 14% 2%
91 ZHANG Chenfei 2% 13% 33% 33% 15% 3% -
92 LEE Sophia - 1% 9% 27% 36% 22% 5%
92 FANG Victoria W. - 3% 15% 31% 31% 15% 3%
94 GUGALA Hanna - 13% 42% 34% 10% 1% -
95 MARYASH Samantha 1% 7% 23% 34% 25% 9% 1%
96 ATTIA Jasmine 2% 18% 36% 30% 12% 2% -
97 SHINCHUK Ellisha 1% 21% 39% 28% 9% 1% -
98 CHIARELLI Valentina - 2% 15% 39% 34% 10% 1%
99 HENRY Soraya S. 1% 27% 41% 24% 7% 1% -
100 STONE Hava S. - 5% 23% 40% 26% 5%
101 STONE Coral 16% 38% 33% 11% 1% -
102 GAUTAM Sahana 11% 32% 35% 17% 4% -
103 MANKOVA Varvara 11% 40% 35% 12% 2% -
104 LIU Sydney 9% 32% 38% 18% 3% -
105 CHIANG Melissa 18% 38% 31% 11% 2% -
106 XI Shining 1% 8% 25% 37% 24% 5%
107 LO Chloe 13% 36% 35% 14% 2% -
108 HAMMERSTROM Aria 1% 13% 36% 35% 12% 2% -
109 DUDNICK Morgan 4% 24% 41% 25% 6% - -
110 MUNGUIA Mila 14% 37% 33% 13% 3% - -
111 LIU Zhi Jun - 2% 10% 28% 36% 20% 4%
112 HAN Emma 18% 44% 30% 8% 1% - -
113 XIONG Haojiao - 1% 9% 27% 35% 22% 5%
114 GOLOVITSER Maya 8% 36% 37% 16% 3% - -
115 TAN Adelyn 23% 45% 27% 5% -
116 TONG Jessie 5% 24% 37% 26% 8% 1%
117 SCOTT Eve 9% 29% 37% 20% 5% -
118 TEYSSIER Katherine 14% 38% 35% 12% 1% -
119 YANG Lea 9% 30% 36% 19% 5% -
120 BUSH Bethany 3% 43% 42% 11% 1% -
121 MANN Sophia J. 15% 38% 34% 12% 2% -
122 LIM Jaslene - 6% 25% 36% 24% 7% 1%
123 TUNG Renee - 19% 41% 30% 9% 1% -
124 VADASZ Ibla P. - 1% 9% 25% 35% 24% 6%
125 DAI Olivia 1% 19% 40% 30% 9% 1% -
125 ONG Lauren 49% 39% 11% 1% - - -
127 YEN Natalie 16% 42% 31% 10% 1% - -
128 YOUNG Charlotte G. - 6% 25% 37% 24% 7% 1%
129 YOUNG Audrey 24% 44% 25% 6% 1% - -
129 GOSAVI Aabolee 18% 54% 24% 4% - - -
131 FENG Alicia G. 1% 47% 40% 11% 1% - -
132 MANI Francesca B. 25% 45% 25% 5% - - -
133 JIANG Mu Jia (Michelle) 36% 41% 18% 4% - - -
134 DONG Angel 26% 46% 24% 4% -
135 NAIR Supriya 57% 35% 7% 1% - - -
136 WANG Gloria Ruoyan 5% 24% 39% 26% 5% -
137 LEE Lauren 8% 34% 39% 16% 3% - -
137 OLKO Sophie 73% 24% 3% - - - -
139 YUAN Vienna 17% 48% 31% 4% - -
140 JEFFORDS Sophia 27% 44% 23% 5% - -
140 BARBOSA Katia 45% 40% 13% 2% - -
142 BAINS Nandini 31% 43% 21% 5% 1% - -
143 VENNELA Dhatri 33% 44% 19% 3% - - -
144 WU Chloe 88% 11% - - - -
145 WANG Peijia 34% 43% 18% 4% - - -
146 BAIRD Kaleah 62% 34% 4% - - - -
146 SULLIVAN Siobhan 94% 6% - - - - -
146 SNOAD Indy 84% 15% 1% - - - -
146 LIANG Cera 98% 2% - - - - -
150 SOUTTER Sandra 98% 2% - - - - -
151 BANGALORE Shriya 89% 11% - - - - -

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.