March NAC and Parafencing National Championships

Y-12 Women's Saber

Saturday, March 4, 2023 at 3:00 PM

Fort Worth, TX, USA

Probability density of pool victories

Reset

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 YOUNG Charlotte G. - - - 2% 12% 39% 47%
2 AWAD Royce - 3% 15% 32% 32% 15% 2%
3 LEOU Korina - - 2% 18% 48% 31%
3 ZHANG XUANYI - - - 1% 10% 46% 43%
5 KURAEVA Vasilisa - - - 2% 14% 42% 43%
6 HU Anna - - 1% 5% 22% 42% 31%
7 GUGALA Hanna - 3% 14% 33% 35% 15%
8 ZHAI AMY - - 4% 17% 34% 33% 12%
9 LIU Hannah - 1% 9% 29% 40% 21%
10 DAMBAL Sasha - - 2% 17% 48% 34%
11 HUGHES-WILLIAMS Adelayde - - 5% 26% 44% 25%
12 WANG Jiayi - 1% 8% 26% 37% 23% 5%
13 WANG Callie - - 2% 10% 28% 39% 21%
14 LEI Zitong (Meya) - 1% 5% 18% 35% 32% 10%
15 KU Alathea-Joy - 2% 18% 40% 31% 8%
16 YOON Sela 37% 42% 18% 4% - - -
17 HSU leah - - 1% 10% 30% 40% 18%
18 CHIARELLI Valentina - - - - 2% 20% 78%
19 BLAKE Anna - - 3% 14% 32% 36% 15%
20 PANTALEON-MAZOLA Amari - 1% 5% 18% 34% 31% 11%
21 LEE Alyson - 2% 11% 32% 39% 16%
22 LEE Irene - 1% 9% 27% 37% 22% 3%
23 VINOGOROVA Sofiia - - - 3% 15% 40% 42%
24 CONG Anne - 1% 4% 16% 34% 33% 12%
25 ZHU Elaine - - 2% 12% 32% 38% 16%
26 WANG JiaQi - 1% 10% 31% 40% 17%
26 CAI Veronica - 3% 20% 45% 27% 5%
28 KANG Ellie - - 1% 14% 45% 39%
29 CASTELO Soleil 1% 11% 29% 34% 19% 5% 1%
30 KAUL Tara 2% 12% 28% 33% 20% 6% 1%
31 TENG EMMA - - 4% 26% 47% 22%
32 FOSS Persephone 4% 19% 36% 29% 11% 1%
33 SUNG Isabella - 5% 20% 36% 29% 9% -
34 GONG Joy - 2% 10% 25% 34% 23% 6%
35 BERRIOS Catalina - 1% 8% 29% 41% 20%
36 BORGUETA Madison 7% 28% 38% 22% 5% -
37 YE Isabella 2% 12% 29% 34% 19% 4%
38 GONZALEZ Veronika - 1% 10% 31% 39% 17% 1%
39 NEMORIN Rei - 3% 13% 29% 34% 18% 4%
40 GAIKWAD Ashmiee - - 2% 15% 37% 36% 10%
41 GONG suri 1% 5% 20% 36% 29% 9% -
42 KIM Grace - 1% 8% 24% 36% 25% 6%
43 LIN Elaine - - 2% 9% 27% 40% 23%
44 SUN Yi - 3% 16% 32% 32% 14% 2%
45 LIANG Claire 1% 9% 26% 35% 22% 6% -
46 WANG Emily 7% 33% 42% 15% 2% -
47 SENGUPTA Jia - 5% 20% 38% 29% 8%
48 FUNG Iris - 1% 8% 29% 42% 20%
48 KONZEN Iris 3% 20% 38% 29% 10% 1%
50 FAN Alexandria - 4% 15% 30% 31% 16% 3%
51 CHERON Helene 11% 35% 36% 15% 3% - -
52 NIU Jessica 1% 9% 25% 34% 23% 7% 1%
53 MOON Claire 15% 35% 32% 14% 4% - -
54 IANNUZZI Lucy 3% 18% 35% 30% 12% 2% -
55 KIM Grace 3% 18% 34% 29% 12% 3% -
56 ZHAO Lingran - 2% 12% 31% 35% 17% 3%
57 ZHANG Ashley 1% 10% 38% 36% 13% 2%
58 BROWN Aria - 9% 39% 40% 11% 1%
59 MACKAY Katherine 3% 22% 39% 27% 8% 1%
60 MEYERSON Michelle - 3% 16% 36% 34% 11%
61 CAI Joanna - 3% 16% 33% 32% 14% 2%
62 YUEN Nicole 11% 32% 35% 18% 4% - -
63 SEBASTIAN Ava 8% 31% 36% 19% 5% 1% -
64 XIAÖ Cindy 50% 37% 11% 2% - - -
65 MISHEV Lila - - 6% 26% 41% 23% 4%
66 KWON Ava - 1% 9% 32% 41% 17%
67 GAY Sasha - 1% 7% 24% 37% 25% 6%
68 NING Lynn 1% 10% 33% 37% 16% 2%
69 WU Daisy - 6% 24% 38% 25% 6%
70 LI Tiffany - 6% 34% 43% 15% 2%
71 NGUYEN Summer - 2% 13% 33% 35% 15% 1%
72 LONG Chloe - 4% 18% 34% 30% 12% 2%
73 ZHU Avril 2% 15% 34% 32% 14% 2% -
74 XU Elaine 23% 42% 27% 8% 1% - -
75 ALMEDA Galina 1% 11% 32% 35% 16% 4% -
76 JUNG Sienna 8% 44% 36% 11% 1% - -
77 YAN Angela - 6% 24% 39% 25% 5%
78 YE Madeleine 14% 37% 34% 13% 2% -
79 OH Chloe - 4% 19% 37% 31% 9%
80 REN Katherine 1% 9% 26% 34% 22% 7% 1%
81 LEE Kaitlin 13% 35% 33% 15% 3% - -
82 WANG Tina - 4% 20% 38% 29% 8% -
83 HWANG Charlotte 1% 6% 21% 35% 27% 10% 1%
84 DOLEV Rony - 2% 17% 38% 32% 10% 1%
85 KIM Saeren 15% 34% 32% 15% 4% - -
86 WONG Charlene 17% 45% 29% 8% 1% - -
87 XIONG Alina - 3% 14% 29% 32% 17% 4%
88 SUNG Olivia 5% 21% 34% 27% 11% 2% -
89 CHOI Charlotte 3% 18% 34% 30% 13% 3% -
90 JIANG Evelyn - 5% 20% 34% 29% 11% 1%
91 JOHNSON Heaven - 2% 12% 30% 36% 18% 1%
92 TONG Laurie 1% 13% 31% 33% 17% 4% -
93 WANG MONA 10% 32% 36% 18% 4% - -
94 TA-ZHOU Sophia 6% 24% 36% 25% 8% 1% -
95 JOSHI Samika 14% 38% 34% 12% 2% -
96 KIM Satie 13% 36% 34% 14% 3% -
97 VENNE Sophie 39% 44% 15% 2% - -
98 CHACKO Anne 40% 44% 15% 2% - -
99 OSMINKINA-JONES Kai 15% 51% 28% 6% - -
100 SONG Emily 19% 56% 22% 3% - -
101 MERRITT Annabelle 20% 45% 27% 7% 1% -
102 HILD Anya 3% 17% 33% 30% 14% 3% -
103 ZHANG Olivia 6% 24% 35% 25% 9% 2% -
104 CHENG Zijuan "Grace" 2% 18% 44% 29% 7% 1% -
105 MCCARTHY Nora Louisa Abrous 10% 32% 36% 17% 4% - -
106 LONG Jessie 6% 22% 34% 26% 10% 2% -
107 PRAKASH Aanika 41% 42% 14% 2% - - -
108 SCHMIDT Yehna < 1% 5% 23% 38% 26% 7% 1%
109 SEO Yunseo 58% 34% 7% 1% - -
110 LIU kai yin aria 17% 37% 31% 12% 2% -
111 HSIEH Lucia 24% 41% 26% 8% 1% - -
112 CLAIANU Adriana 63% 33% 4% - - -
113 HAYHOE Tara 13% 34% 34% 16% 3% - -
114 SETTY Vaidehi 16% 44% 32% 7% 1% -
115 GALLAGHER Isabella 68% 28% 4% - - - -
116 LEE Chaewon 62% 33% 4% - - -
117 TREJO Lucia 34% 41% 20% 5% 1% - -
118 AKULOVA Eva 17% 38% 31% 11% 2% - -
118 NORRMAN Annika 3% 15% 32% 31% 15% 3% -

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.