March NAC

Div II Women's Saber

Saturday, March 7, 2026 at 3:00 PM

Huntington Convention Center of Cleveland - Cleveland, OH, USA

Probability density of pool victories

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Explore the probability of achieving at least a certain number of victories in the pool 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 KIM Catherine 100% 100% 100% 100% 100% 100% 93%
2 DING Lilac 100% 100% 100% 96% 82% 50% 15%
3 SEVASTOPULO Sahra 100% 100% 98% 88% 59% 22% 3%
3 YU Stella 100% 100% 100% 99% 93% 69% 27%
5 CHEN Elaine 100% 100% 100% 99% 92% 66% 22%
6 WONG Cerise 100% 100% 98% 86% 58% 23% 4%
7 MOTOVA Masha 100% 98% 86% 56% 23% 5% -
8 YANG Caroline 100% 100% 97% 81% 46% 12% -
9 YU Skylar 100% 100% 99% 92% 68% 27%
10 YE Isabella 100% 100% 98% 88% 62% 26% 5%
11 LITTLE Avery 100% 100% 100% 95% 74% 31%
12 LOMOTAN Addison 100% 100% 99% 88% 60% 24% 4%
13 NANDA Maanika 100% 100% 99% 93% 69% 30% 5%
14 HU Alicia 100% 100% 99% 94% 75% 40% 9%
15 DING Jolie 100% 88% 53% 18% 3% -
16 HUGHES-WILLIAMS Adelayde 100% 100% 99% 89% 56% 16%
17 STADNIK Emilia 100% 100% 99% 95% 76% 41% 10%
18 HWANG Charlotte 100% 100% 100% 98% 90% 64% 23%
19 MYAT Chloe 100% 100% 99% 89% 55% 15%
20 CHERON Helene 100% 100% 95% 74% 36% 9% 1%
21 ROSTHOLDER Hannah 100% 100% 99% 85% 48% 14% 1%
22 VATS Ishita 100% 100% 96% 79% 48% 17% 3%
23 HILD Anya 100% 100% 97% 80% 46% 14% 2%
24 KO Ariel 100% 99% 89% 62% 26% 5%
25 JACHYMIAK Emilia 100% 99% 90% 65% 30% 6%
26 TENG Christine Renmei 100% 100% 100% 99% 92% 64% 21%
27 PARK Chloe 100% 100% 100% 96% 82% 49% 13%
28 JOSHI Samika 100% 99% 87% 58% 24% 6% 1%
29 MAJEWSKA Maria 100% 100% 100% 96% 80% 41% 4%
30 GUO Daisy 100% 100% 95% 74% 38% 9% 1%
31 CHERUKURI Tanvi 100% 97% 83% 51% 18% 3%
32 SUZUKI HAN Emma Yukino 100% 100% 99% 93% 71% 33% 6%
33 CAFAGNA Sofia 100% 100% 100% 92% 62% 23% 3%
34 STAPLETON Lindsay K. 100% 100% 100% 100% 100% 99% 83%
35 YOUNG Sienna 100% 100% 96% 79% 44% 11% 1%
36 KU Chloe 100% 100% 100% 97% 83% 51% 15%
37 OH Chloe 100% 100% 96% 81% 49% 17% 2%
38 NIU Jessica 100% 100% 92% 64% 28% 6% 1%
39 WANG Tina 100% 100% 99% 88% 55% 16%
40 YADAV Tishya 100% 100% 100% 100% 97% 81% 39%
41 SMITH Genevieve 100% 98% 83% 51% 18% 3% -
42 ZHAO ZEMEI 100% 100% 100% 95% 76% 39% 8%
43 DUDNICK Morgan 100% 100% 100% 98% 88% 61% 22%
44 MATSUO Kei 100% 100% 100% 100% 98% 86% 42%
45 KAYA Lara 100% 100% 99% 91% 68% 32% 6%
46 LAUREYNS Ainsley 100% 100% 97% 84% 55% 22% 4%
47 GOEL Lineysha 100% 100% 96% 79% 43% 12% 1%
48 WANG MONA 100% 100% 100% 95% 74% 35% 6%
49 HAM Elizabeth 100% 95% 70% 34% 10% 1% -
50 CHAMI Lana 100% 100% 100% 97% 84% 52% 16%
51 KIM Hyunbi 100% 81% 42% 11% 1% -
52 PALMIERI Giuliana M. 100% 99% 91% 68% 33% 7%
53 TA-ZHOU Sophia 100% 93% 67% 31% 8% 1%
54 BABB Virginia 100% 94% 69% 32% 9% 1% -
55 KANG Soeun 100% 100% 100% 99% 95% 75% 33%
56 ISBERG Natalie 100% 100% 100% 100% 95% 73% 29%
57 XU Elaine 100% 100% 100% 100% 94% 70% 26%
58 KIM Kailey 100% 100% 100% 98% 89% 58% 17%
59 CHEN Victoria 100% 99% 86% 47% 13% 1%
60 HU Heidi 100% 100% 98% 88% 57% 21% 3%
61 SCHOON REBECCA 100% 100% 88% 55% 22% 4% -
62 TONG Laurie 100% 100% 99% 90% 65% 30% 6%
63 WONG Lucia 100% 83% 45% 14% 2% - -
64 ERPELDING Emily 100% 84% 48% 17% 3% -
65 ZHANG Wuxin 100% 92% 65% 30% 7% 1%
66 PRAXL Alexa R. 100% 100% 100% 100% 97% 83% 42%
67 MERRITT Annabelle 100% 99% 91% 67% 32% 8% 1%
68 ZHANG Ashley 100% 100% 98% 87% 59% 24% 4%
69 JUNG Sienna 100% 99% 86% 52% 18% 3% -
70 HU Sophia 100% 86% 52% 19% 4% - -
71 DESAUTELS Alexandra 100% 99% 92% 67% 29% 6% -
72 CHA Jungyun 100% 91% 61% 24% 5% - -
73 MORINAGA Mirai 100% 99% 85% 50% 16% 3% -
74 WANG Chloe 100% 99% 90% 61% 24% 4% -
75 LIM Eunice 100% 99% 88% 60% 24% 4% -
75 CHAN Isla 100% 92% 53% 16% 2% - -
77 ALMEDA Galina 100% 99% 87% 51% 16% 2% -
78 YANG Selina 100% 99% 91% 65% 28% 5% -
79 LIAO Audrey 100% 87% 51% 18% 4% - -
80 GISCHLER Mila 100% 88% 55% 20% 4% - -
81 PEREIRA Izumi 100% 100% 95% 78% 46% 16% 2%
82 WANG Emily 100% 85% 47% 15% 2% - -
83 WU Harper 100% 94% 68% 31% 8% 1% -
84 BHAVSAR Vanmayi 100% 98% 82% 48% 17% 3% -
84 LIU Teresa 100% 98% 86% 57% 24% 5% -
86 EJIOGU Adaugo 100% 100% 96% 76% 38% 10% 1%
87 ZENG Jiawen 100% 82% 40% 10% 1% - -
88 NEDOPAKA Kateryna 100% 100% 99% 90% 60% 18%
89 PARK Gabriella 100% 93% 66% 31% 8% 1%
90 LAI Karen 100% 97% 80% 45% 13% 1%
91 LI Tiffany 100% 99% 90% 64% 30% 8% 1%
92 DUONG Esther 100% 100% 100% 97% 82% 47% 12%
93 TESTROET Aubrey 100% 100% 100% 98% 90% 64% 24%
94 KIM isabel 100% 96% 77% 44% 16% 3% -
95 CORPUS Hannah 100% 97% 79% 46% 16% 3% -
96 PARK Haylie 100% 100% 99% 89% 59% 20% 1%
96 KIM Jodie 100% 86% 45% 13% 2% - -
98 MCCARTHY Nora Louisa Abrous 100% 96% 78% 42% 12% 1% -
99 CONVERSO-PARSONS Maia 100% 100% 92% 53% 16% 2% -
100 SONI Ruhee 100% 83% 47% 16% 3% - -
101 ONO Lisa 100% 90% 60% 25% 6% 1% -
102 YERENKOVA Ameliia 100% 100% 98% 87% 58% 24% 4%
103 FANG Lauren 100% 81% 43% 13% 2% - -
104 LEIGH Adalene 100% 93% 67% 32% 8% 1%
105 WANG JiaQi 100% 99% 93% 73% 38% 9%
106 LIU Stephanie 100% 87% 39% 8% 1% -
107 LIANG Claire 100% 94% 68% 30% 6% 1%
108 BAIRD Kaleah 100% 93% 68% 33% 10% 1% -
109 MOROAICA Nsheka 100% 63% 22% 4% - - -
110 TAMARO Allie 100% 99% 90% 63% 29% 7% 1%
110 JEON Kristen 100% 55% 14% 2% - - -
112 ALSHAARAWI Sofia 100% 90% 59% 23% 5% - -
113 FANG Elena 100% 92% 57% 20% 4% - -
114 CRONIN Kayla H. 100% 83% 45% 13% 2% - -
114 GUPTA Kanak 100% 76% 19% 2% - - -
116 JAJRA Avni 100% 84% 46% 15% 3% - -
117 KIM Hyunseo 100% 100% 91% 64% 29% 7% 1%
118 TASSONE Charlie 100% 95% 71% 35% 10% 2% -
119 MADDISON Erica 100% 38% 5% - - -
120 JOHNSTON Sabrina 100% 84% 47% 15% 2% - -
121 CHU-NAFPLIOTIS Nyssa 100% 69% 26% 5% - - -
122 BARCZAY Sara E. 100% 96% 79% 45% 14% 2%
123 SIDERI Sophia 100% 81% 42% 12% 2% - -
123 MCCLANAHAN Camille 100% 63% 22% 4% - - -
125 MUTHAPPAN Sahana 100% 100% 95% 77% 44% 14% 2%
126 GERALDINO Sofia 100% 14% 1% - - - -
126 BADDEPUDI Sreenika 100% 41% 4% - - - -
128 LYNCH Vivian 100% 49% 11% 1% - - -
129 FOISSET Camille 100% 34% 4% - - - -

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.