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 | ||
1 | LEE Alyson | 100% | 100% | 100% | 97% | 83% | 41% | |
2 | LEOU Korina | 100% | 100% | 100% | 100% | 99% | 93% | 61% |
3 | DAMBAL Sasha | 100% | 100% | 100% | 100% | 99% | 90% | 51% |
3 | HU Anna | 100% | 100% | 100% | 100% | 99% | 92% | 59% |
5 | CAI Xinyi | 100% | 100% | 100% | 100% | 99% | 90% | 41% |
6 | BROWN Aria | 100% | 100% | 100% | 100% | 96% | 76% | 33% |
7 | DAVIDOVA Kira | 100% | 100% | 100% | 97% | 76% | 32% | |
8 | CASTELO Soleil | 100% | 100% | 100% | 97% | 81% | 44% | 10% |
9 | AWAD Royce | 100% | 100% | 100% | 100% | 98% | 84% | 43% |
10 | FUNG Iris | 100% | 100% | 99% | 91% | 61% | 20% | |
11 | ZHU Avril | 100% | 100% | 98% | 86% | 52% | 15% | |
12 | LIU Hannah | 100% | 100% | 100% | 100% | 99% | 88% | 48% |
13 | WANG MONA | 100% | 97% | 79% | 43% | 13% | 2% | - |
14 | CHOWDHERY Myra | 100% | 100% | 98% | 86% | 57% | 21% | 3% |
15 | XU Elaine | 100% | 100% | 97% | 81% | 44% | 9% | |
16 | MULLER Inara | 100% | 99% | 89% | 59% | 23% | 4% | |
17 | NEMORIN Rei | 100% | 100% | 100% | 98% | 85% | 51% | 13% |
18 | ILAGAN Ava | 100% | 100% | 96% | 75% | 37% | 8% | |
19 | MACKAY Katherine | 100% | 100% | 99% | 93% | 70% | 29% | |
20 | TA-ZHOU Sophia | 100% | 99% | 92% | 64% | 26% | 5% | < 1% |
21 | YOUNG Charlotte G. | 100% | 100% | 100% | 100% | 100% | 97% | 72% |
22 | YU Skylar | 100% | 100% | 97% | 84% | 54% | 19% | 2% |
23 | GUGALA Hanna | 100% | 100% | 100% | 100% | 99% | 89% | 39% |
23 | MAK Kaitlin | 100% | 100% | 100% | 98% | 87% | 52% | 12% |
25 | ZONG Eliane | 100% | 100% | 96% | 79% | 43% | 12% | 1% |
26 | ZHAI AMY | 100% | 100% | 98% | 85% | 51% | 15% | |
27 | HUANG Pierra | 100% | 99% | 89% | 52% | 15% | 2% | |
28 | MAK Jayden | 100% | 96% | 75% | 38% | 10% | 1% | |
29 | YU Stella | 100% | 100% | 99% | 94% | 74% | 39% | 9% |
30 | BERRIOS Catalina | 100% | 100% | 99% | 95% | 75% | 38% | 6% |
31 | KWON Ava | 100% | 100% | 100% | 99% | 93% | 66% | 22% |
32 | HU Alicia | 100% | 100% | 96% | 68% | 25% | 4% | |
33 | CHANG Norah | 100% | 100% | 99% | 94% | 72% | 35% | 7% |
34 | BAIK Sarah | 100% | 100% | 100% | 99% | 94% | 70% | 26% |
35 | GONZALEZ Veronika | 100% | 100% | 100% | 100% | 96% | 79% | 36% |
36 | PEREIRA Izumi | 100% | 93% | 65% | 28% | 6% | 1% | - |
37 | JOHN Sophia | 100% | 99% | 94% | 73% | 38% | 11% | 1% |
38 | LEIGH Adalene | 100% | 100% | 99% | 89% | 58% | 20% | 3% |
39 | DHAR Rana | 100% | 100% | 100% | 99% | 89% | 59% | 14% |
40 | LEE Grace | 100% | 100% | 99% | 92% | 63% | 24% | 3% |
41 | VATS Ishita | 100% | 99% | 88% | 57% | 20% | 2% | |
42 | NIU Jessica | 100% | 100% | 99% | 80% | 38% | 7% | |
43 | GONG Joy | 100% | 100% | 100% | 100% | 96% | 78% | 35% |
44 | FOSS Persephone | 100% | 100% | 100% | 97% | 83% | 52% | 15% |
45 | GOEL Lineysha | 100% | 100% | 94% | 65% | 24% | 4% | - |
46 | NANDA Maanika | 100% | 100% | 99% | 88% | 56% | 18% | 2% |
47 | HEATH Isabella | 100% | 100% | 100% | 95% | 74% | 34% | 6% |
48 | DUTA Lyra | 100% | 100% | 98% | 89% | 64% | 29% | 6% |
49 | BORGUETA Madison | 100% | 99% | 94% | 71% | 33% | 7% | |
50 | CHOI Charlotte | 100% | 100% | 98% | 86% | 54% | 16% | |
51 | REN Katherine | 100% | 100% | 98% | 82% | 45% | 11% | |
52 | LEE Kaitlin | 100% | 99% | 90% | 62% | 26% | 4% | |
53 | ZHAO Selena | 100% | 100% | 97% | 78% | 37% | 5% | - |
54 | NG Sophia | 100% | 100% | 98% | 87% | 56% | 19% | 2% |
55 | YUEN Nicole | 100% | 100% | 100% | 100% | 97% | 79% | 37% |
55 | KAVZAN Duru | 100% | 100% | 94% | 68% | 29% | 6% | - |
57 | PARK Haylie | 100% | 100% | 98% | 88% | 60% | 23% | 3% |
58 | LAFFY Lily | 100% | 100% | 99% | 93% | 70% | 32% | 5% |
59 | WONG Charlene | 100% | 100% | 99% | 91% | 65% | 27% | 4% |
60 | YOUNG Sienna | 100% | 94% | 71% | 34% | 9% | 1% | - |
61 | BANDHU Saahiti | 100% | 100% | 95% | 70% | 27% | 3% | - |
62 | WANG Emily | 100% | 98% | 84% | 54% | 21% | 4% | - |
63 | LI Tiffany | 100% | 99% | 93% | 71% | 35% | 9% | 1% |
64 | LIU Teresa | 100% | 94% | 68% | 31% | 7% | 1% | - |
65 | ZHANG Audrey | 100% | 99% | 89% | 63% | 28% | 6% | - |
66 | WANG JiaQi | 100% | 100% | 100% | 97% | 83% | 49% | 12% |
67 | HU Sophia | 100% | 72% | 26% | 5% | < 1% | - | - |
68 | WANG Chloe | 100% | 61% | 20% | 3% | - | - | |
69 | HAGN Luna | 100% | 89% | 57% | 21% | 4% | - | - |
70 | HARRIS Maya Hué | 100% | 100% | 95% | 73% | 35% | 8% | 1% |
71 | SEVASTOPULO Sahra | 100% | 100% | 97% | 83% | 50% | 15% | 1% |
72 | MOTOVA Masha | 100% | 84% | 47% | 15% | 2% | - | - |
73 | KIM Grace | 100% | 100% | 99% | 93% | 67% | 27% | 4% |
74 | SHI Chuqing | 100% | 98% | 86% | 54% | 19% | 3% | - |
75 | KIM Grace | 100% | 94% | 68% | 32% | 9% | 1% | - |
76 | JUN Sofia | 100% | 84% | 47% | 15% | 2% | - | - |
77 | IANNUZZI Lucy | 100% | 100% | 97% | 80% | 42% | 9% | |
78 | ZHANG Ashley | 100% | 100% | 98% | 87% | 54% | 15% | |
79 | OSMINKINA-JONES Kai | 100% | 100% | 99% | 88% | 51% | 13% | |
80 | KIM isabel | 100% | 95% | 71% | 32% | 7% | 1% | |
81 | LI Tira | 100% | 100% | 95% | 72% | 33% | 7% | |
82 | LEE Jiyoung | 100% | 48% | 9% | 1% | - | - | |
83 | MAJEWSKA Maria | 100% | 98% | 79% | 36% | 7% | - | - |
84 | FANG Elena | 100% | 86% | 47% | 14% | 2% | - | - |
85 | KIM Eunjae | 100% | 99% | 90% | 63% | 26% | 5% | - |
85 | LIU Stephanie | 100% | 97% | 80% | 47% | 17% | 3% | - |
87 | LIANG Claire | 100% | 100% | 98% | 84% | 47% | 12% | 1% |
87 | ALFONSO-VALLEJO Cecilia | 100% | 98% | 86% | 56% | 21% | 4% | - |
87 | FANG Darcy | 100% | 81% | 39% | 9% | 1% | - | - |
90 | KARAVAS Lucy | 100% | 79% | 40% | 12% | 2% | - | - |
91 | SU JOSERINE | 100% | 98% | 79% | 39% | 10% | 1% | - |
92 | GOLEN Grace | 100% | 89% | 55% | 20% | 4% | - | - |
93 | ARORA Rhiya | 100% | 99% | 80% | 40% | 10% | 1% | - |
94 | LIAO Amber | 100% | 78% | 34% | 7% | 1% | - | - |
95 | CAFAGNA Sofia | 100% | 98% | 84% | 52% | 19% | 3% | - |
96 | GALLAGHER Isabella | 100% | 97% | 79% | 42% | 12% | 2% | - |
97 | MARGULIS Roxana | 100% | 88% | 54% | 19% | 4% | - | - |
98 | LEE Janice | 100% | 95% | 60% | 20% | 3% | - | - |
99 | BUCCINO Sloane | 100% | 52% | 6% | - | - | - | |
100 | DESAUTELS Alexandra | 100% | 98% | 85% | 52% | 18% | 3% | |
101 | HUANG Zoe | 100% | 73% | 31% | 7% | 1% | - | |
102 | MERZLYAKOVA Maria | 100% | 96% | 73% | 35% | 9% | 1% | |
103 | STOLCKE Saskia | 100% | 85% | 39% | 9% | 1% | - | |
104 | HO Sophia | 100% | 93% | 63% | 25% | 5% | - | |
105 | GARCIA RODRIGUEZ Victoria Maria | 100% | 93% | 57% | 19% | 3% | - | - |
106 | YE Athena | 100% | 76% | 31% | 6% | - | - | - |
107 | KIM Jodie | 100% | 70% | 29% | 7% | 1% | - | - |
108 | FAZAL Sasha | 100% | 78% | 37% | 10% | 1% | - | - |
109 | LIN Olivia | 100% | 66% | 24% | 5% | - | - | - |
110 | MCCARTHY Nora Louisa Abrous | 100% | 98% | 83% | 51% | 17% | 3% | - |
111 | MERZLYAKOVA Alexandra | 100% | 71% | 29% | 6% | 1% | - | - |
112 | TRINH Nha-Yen | 100% | 100% | 95% | 72% | 34% | 8% | 1% |
113 | SWAMINATHAN Keerthi | 100% | 44% | 9% | 1% | - | - | - |
114 | SOUTHWELL Mia | 100% | 64% | 21% | 3% | - | - | |
115 | YOON Sela | 100% | 88% | 53% | 18% | 3% | - | |
116 | SHAH Miraya | 100% | 93% | 68% | 33% | 9% | 1% | - |
117 | ZHANG Nikki | 100% | 98% | 84% | 50% | 17% | 3% | - |
118 | WANG Keira | 100% | 96% | 75% | 39% | 12% | 2% | - |
119 | DOROBANTU Emma | 100% | 95% | 67% | 24% | 4% | - | - |
120 | NAKATA Gwyneth | 100% | 47% | 9% | 1% | - | - | |
121 | LEE Olivia | 100% | 18% | 1% | - | - | - | - |
122 | SMITH Genevieve | 100% | 61% | 8% | - | - | - | |
122 | PHILLIPPY Hannah | 100% | 84% | 38% | 9% | 1% | - | |
124 | TAKEUCHI Isabel | 100% | 89% | 54% | 18% | 3% | - | - |
124 | SAGER Bianca | 100% | 89% | 51% | 13% | 2% | - | - |
124 | YIN Xizi | 100% | 66% | 22% | 4% | - | - | - |
127 | REYNOLDS CHANG Anna | 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.