Meadowlands Expo Center - Secaucus, NJ, USA
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 | 7 | 8 | 9 | 10 | 11 | 12 | ||
1 | DAMBAL Sasha | 100% | 100% | 100% | 100% | 95% | 72% | 27% | ||||||
2 | BUSH Bethany | 100% | 100% | 100% | 99% | 94% | 71% | 30% | ||||||
3 | TA-ZHOU Emma | 100% | 100% | 100% | 95% | 76% | 38% | 8% | ||||||
3 | AWAD Royce | 100% | 100% | 100% | 96% | 80% | 44% | 9% | ||||||
5 | LEOU Korina | 100% | 100% | 100% | 100% | 97% | 81% | 39% | ||||||
6 | KURAEVA Vasilisa | 100% | 100% | 100% | 100% | 97% | 83% | 42% | ||||||
7 | LOO Kaitlyn | 100% | 100% | 100% | 100% | 99% | 91% | 57% | ||||||
8 | KWON Ava | 100% | 100% | 100% | 97% | 82% | 41% | |||||||
9 | YANNOPOULOS Pompie | 100% | 100% | 99% | 95% | 76% | 41% | 11% | ||||||
10 | LI Sonia | 100% | 100% | 99% | 92% | 68% | 32% | 6% | ||||||
11 | MALEK Zolie | 100% | 100% | 100% | 100% | 98% | 84% | 43% | ||||||
12 | XU Elaine | 100% | 99% | 92% | 71% | 37% | 11% | 1% | ||||||
13 | CROOKS Riley | 100% | 100% | 99% | 93% | 72% | 37% | 9% | ||||||
14 | SEVASTOPULO Sahra | 100% | 98% | 83% | 53% | 21% | 5% | - | ||||||
15 | YE Isabella | 100% | 100% | 100% | 95% | 74% | 35% | 6% | ||||||
16 | BERRIOS Catalina | 100% | 100% | 97% | 82% | 47% | 12% | |||||||
17 | GUGALA Hanna | 100% | 100% | 100% | 99% | 91% | 59% | 15% | ||||||
18 | BORGUETA Madison | 100% | 100% | 100% | 97% | 84% | 52% | 15% | ||||||
19 | GONZALEZ Veronika | 100% | 100% | 100% | 98% | 86% | 45% | |||||||
20 | GENTILE Vittoria | 100% | 100% | 97% | 82% | 49% | 14% | |||||||
21 | MERCHANT Aishwarya | 100% | 100% | 100% | 100% | 95% | 72% | 27% | ||||||
22 | LEE Alyson | 100% | 100% | 100% | 96% | 78% | 40% | 8% | ||||||
23 | MACKAY Katherine | 100% | 100% | 94% | 73% | 36% | 8% | |||||||
24 | ZHU Elaine | 100% | 100% | 100% | 98% | 86% | 54% | 15% | ||||||
25 | MYAT Chloe | 100% | 100% | 100% | 97% | 84% | 51% | 12% | ||||||
25 | FUNG Iris | 100% | 100% | 99% | 93% | 75% | 41% | 11% | ||||||
27 | BROWN Aria | 100% | 100% | 95% | 78% | 46% | 16% | 2% | ||||||
28 | MERMEGAS Olivia | 100% | 100% | 95% | 73% | 37% | 9% | 1% | ||||||
29 | HALPERIN Elizabeth H. | 100% | 100% | 99% | 94% | 72% | 30% | |||||||
30 | KWON Ava | 100% | 99% | 87% | 53% | 17% | 2% | |||||||
31 | YAN Angela | 100% | 100% | 95% | 75% | 36% | 8% | 1% | ||||||
32 | LIU Chelsea | 100% | 75% | 30% | 6% | 1% | - | - | ||||||
33 | HU Anna | 100% | 100% | 100% | 100% | 98% | 85% | 44% | ||||||
34 | VINOKUR Anita | 100% | 100% | 100% | 99% | 94% | 71% | 29% | ||||||
35 | WANG JiaQi | 100% | 100% | 99% | 95% | 77% | 44% | 12% | ||||||
36 | SHEN Emily | 100% | 100% | 96% | 79% | 42% | 11% | 1% | ||||||
37 | RANDALL-COLLINS Shea M. | 100% | 100% | 97% | 83% | 51% | 18% | 2% | ||||||
38 | CHOI Charlotte | 100% | 99% | 94% | 72% | 35% | 7% | |||||||
38 | NADKARNI Marisa | 100% | 100% | 97% | 84% | 53% | 16% | |||||||
40 | KIM Audrey | 100% | 100% | 96% | 77% | 38% | 7% | |||||||
41 | SHMULER Fiona | 100% | 98% | 87% | 57% | 21% | 3% | |||||||
42 | REN Katherine | 100% | 98% | 87% | 57% | 22% | 4% | |||||||
43 | WANG Emily | 100% | 95% | 74% | 37% | 10% | 1% | |||||||
44 | LEIGH Adalene | 100% | 89% | 55% | 19% | 3% | - | |||||||
45 | CHANG Norah | 100% | 100% | 94% | 72% | 36% | 9% | 1% | ||||||
46 | ZHU Avril | 100% | 100% | 99% | 95% | 79% | 46% | 13% | ||||||
47 | IANNUZZI Lucy | 100% | 100% | 93% | 68% | 31% | 7% | 1% | ||||||
48 | MAO Elsa | 100% | 98% | 87% | 58% | 25% | 6% | 1% | ||||||
49 | NIU Jessica | 100% | 100% | 97% | 83% | 49% | 15% | 2% | ||||||
50 | ZHANG Ashley | 100% | 100% | 96% | 78% | 43% | 11% | |||||||
51 | GONG Joy | 100% | 100% | 100% | 96% | 79% | 44% | 10% | ||||||
52 | BAIK Sarah | 100% | 100% | 97% | 83% | 50% | 16% | 2% | ||||||
53 | WONG Charlene | 100% | 99% | 94% | 76% | 44% | 14% | 2% | ||||||
54 | DHAR Rana | 100% | 100% | 96% | 78% | 44% | 15% | 2% | ||||||
55 | FABRICANT Kioka R. | 100% | 99% | 93% | 69% | 32% | 7% | 1% | ||||||
56 | GUHA Surabhi | 100% | 99% | 93% | 70% | 34% | 9% | 1% | ||||||
57 | MANSPERGER Gia | 100% | 99% | 90% | 66% | 33% | 9% | 1% | ||||||
58 | MAO anna | 100% | 99% | 88% | 58% | 23% | 5% | - | ||||||
59 | SEO Kaitlyn | 100% | 97% | 80% | 47% | 16% | 2% | |||||||
60 | ZONG Eliane | 100% | 92% | 63% | 26% | 5% | - | |||||||
61 | RIFKIN Lielle | 100% | 93% | 65% | 28% | 7% | 1% | |||||||
62 | DUTA Lyra | 100% | 100% | 96% | 79% | 44% | 13% | 1% | ||||||
63 | PARK Haylie | 100% | 99% | 91% | 65% | 30% | 6% | - | ||||||
64 | HILD Anya | 100% | 98% | 81% | 45% | 15% | 3% | - | ||||||
65 | VISWANATHAN Nishka | 100% | 98% | 82% | 47% | 15% | 2% | - | ||||||
66 | ILAGAN Ava | 100% | 100% | 96% | 80% | 47% | 16% | 2% | ||||||
67 | MAK Kaitlin | 100% | 100% | 98% | 85% | 56% | 22% | 4% | ||||||
68 | LIANG Claire | 100% | 100% | 92% | 66% | 31% | 8% | 1% | ||||||
69 | REDA Sophie | 100% | 99% | 90% | 65% | 31% | 8% | 1% | ||||||
70 | NANDA Maanika | 100% | 99% | 90% | 63% | 27% | 6% | - | ||||||
71 | LEE Kaitlin | 100% | 99% | 93% | 68% | 31% | 7% | 1% | ||||||
72 | LAFFY Lily | 100% | 95% | 71% | 34% | 9% | 1% | - | ||||||
73 | MAK Jayden | 100% | 94% | 63% | 24% | 5% | - | - | ||||||
74 | STEDMAN Sienna | 100% | 93% | 69% | 35% | 11% | 2% | - | ||||||
75 | TA-ZHOU Sophia | 100% | 99% | 90% | 59% | 21% | 2% | |||||||
76 | STEVENS Ashelin | 100% | 89% | 57% | 22% | 4% | - | |||||||
77 | MCCARTHY Nora Louisa Abrous | 100% | 72% | 31% | 8% | 1% | - | |||||||
78 | HARVEY-LEE Luisa | 100% | 98% | 87% | 57% | 22% | 4% | |||||||
79 | WANG MONA | 100% | 95% | 74% | 40% | 13% | 2% | - | ||||||
80 | ENG Madeleine | 100% | 95% | 73% | 36% | 10% | 2% | - | ||||||
81 | SMITH Genevieve | 100% | 50% | 10% | 1% | - | - | - | ||||||
82 | SHI Chuqing | 100% | 100% | 99% | 92% | 65% | 23% | 3% | ||||||
83 | NG Sophia | 100% | 89% | 35% | 7% | 1% | - | - | ||||||
84 | YOON Sela | 100% | 99% | 94% | 74% | 41% | 12% | 1% | ||||||
85 | FONG Abigail | 100% | 85% | 45% | 13% | 2% | - | - | ||||||
86 | YERENKOVA Ameliia | 100% | 96% | 74% | 37% | 10% | 1% | - | ||||||
87 | NAKATA Gwyneth | 100% | 49% | 11% | 1% | - | - | - | ||||||
88 | VATSA Shradha | 100% | 89% | 56% | 22% | 5% | - | - | ||||||
89 | BHARDWAJ Riya | 100% | 90% | 53% | 17% | 2% | - | |||||||
90 | BIBLER Anna | 100% | 98% | 85% | 54% | 20% | 3% | |||||||
91 | KONZEN Iris | 100% | 96% | 75% | 39% | 11% | 1% | |||||||
92 | GOLEN Grace | 100% | 86% | 50% | 16% | 3% | - | |||||||
93 | TAKEUCHI Isabel | 100% | 88% | 57% | 24% | 6% | 1% | - | ||||||
94 | MERZLYAKOVA Maria | 100% | 97% | 80% | 45% | 15% | 2% | - | ||||||
95 | LI Tiffany | 100% | 99% | 86% | 53% | 19% | 3% | - | ||||||
96 | PARKER Mrinali | 100% | 100% | 97% | 73% | 32% | 7% | - | ||||||
97 | HUANG Zoe | 100% | 65% | 23% | 4% | - | - | - | ||||||
98 | PALEY Alisa | 100% | 89% | 46% | 12% | 1% | - | - | ||||||
99 | KESSLER Amelia | 100% | 59% | 18% | 3% | - | - | - | ||||||
99 | KIM Eunjae | 100% | 91% | 61% | 25% | 6% | 1% | - | ||||||
101 | WANG Selina | 100% | 80% | 41% | 12% | 2% | - | - | ||||||
102 | GALLAGHER Isabella | 100% | 75% | 34% | 8% | 1% | - | - | ||||||
103 | VATS Ishita | 100% | 84% | 47% | 15% | 2% | - | |||||||
104 | WANG Keira | 100% | 70% | 28% | 6% | 1% | - | |||||||
105 | KIM Grace | 100% | ||||||||||||
105 | KIM Grace | 100% | 99% | 95% | 80% | 57% | 31% | 13% | 4% | 1% | - | - | - | - |
107 | HO Sophia | 100% | 99% | 87% | 52% | 17% | 3% | - | ||||||
108 | BEHNKE Abigail | 100% | 49% | 11% | 1% | - | - | |||||||
108 | ALFONSO-VALLEJO Cecilia | 100% | 96% | 78% | 42% | 12% | 1% | |||||||
110 | ARCHER Devin | 100% | 99% | 82% | 39% | 9% | 1% | - | ||||||
111 | MERZLYAKOVA Alexandra | 100% | 44% | 9% | 1% | - | - | - | ||||||
112 | WILFRET Katerina | 100% | 70% | 25% | 4% | - | - | - | ||||||
113 | CHI Alicia | 100% | 65% | 22% | 4% | - | - | - | ||||||
114 | BUCCINO Sloane | 100% | 27% | 3% | - | - | - | - |
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.