Rockland Community College, Eugene Levy Field House - Suffern, NY, USA
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 | MULLER Inara | - | 1% | 6% | 24% | 39% | 25% | 6% |
2 | WANG MONA | - | 2% | 10% | 30% | 39% | 18% | 1% |
3 | CHOI Charlotte | - | - | - | 2% | 13% | 40% | 44% |
3 | CHANG Norah | - | - | 2% | 11% | 33% | 43% | 12% |
5 | DAVIDOVA Kira | - | - | 1% | 7% | 35% | 57% | |
6 | WANG Callie | - | - | - | - | 2% | 23% | 75% |
7 | BAIK Sarah | - | 1% | 5% | 18% | 35% | 31% | 11% |
8 | GONG Joy | - | - | - | 2% | 16% | 43% | 39% |
9 | ZHENG Winona | - | 4% | 20% | 38% | 30% | 8% | |
10 | KWON Ava | - | - | 1% | 7% | 25% | 42% | 25% |
11 | SEO Kaitlyn | - | 2% | 11% | 30% | 36% | 18% | 3% |
12 | VATS Ishita | - | 1% | 7% | 23% | 37% | 27% | 6% |
13 | IANNUZZI Lucy | - | 2% | 14% | 39% | 37% | 8% | |
14 | SUNG Olivia | - | 1% | 8% | 32% | 46% | 13% | |
15 | ZHANG Ashley | - | 1% | 7% | 26% | 42% | 24% | |
16 | DUTA Lyra | - | 5% | 25% | 43% | 24% | 3% | |
17 | LI Tira | 1% | 9% | 29% | 36% | 21% | 4% | |
18 | OSMINKINA-JONES Kai | - | - | 4% | 22% | 44% | 30% | |
19 | FUNG Iris | - | - | 1% | 5% | 22% | 43% | 30% |
20 | BORGUETA Madison | - | 4% | 18% | 35% | 32% | 11% | |
21 | JOHN Sophia | - | 1% | 9% | 28% | 39% | 20% | 3% |
22 | LIU Teresa | 1% | 9% | 28% | 35% | 21% | 6% | 1% |
23 | CAI Xinyi | - | - | - | 6% | 35% | 59% | |
23 | NADKARNI Marisa | - | - | 1% | 14% | 51% | 34% | |
25 | XU Elaine | - | 2% | 11% | 33% | 40% | 15% | |
26 | SEVASTOPULO Sahra | - | 5% | 24% | 41% | 25% | 5% | |
27 | NG Sophia | - | - | 1% | 4% | 20% | 43% | 32% |
28 | ZHAO Selena | - | 6% | 22% | 37% | 27% | 8% | |
29 | PEREIRA Izumi | 1% | 6% | 23% | 36% | 26% | 8% | 1% |
30 | REN Katherine | - | - | 3% | 14% | 34% | 36% | 12% |
31 | YOUNG Sienna | 3% | 25% | 43% | 24% | 5% | - | |
32 | HUANG Doris | - | - | 5% | 23% | 44% | 27% | |
33 | WONG Charlene | - | - | 3% | 13% | 33% | 37% | 13% |
34 | NEMORIN Rei | - | - | 1% | 10% | 47% | 42% | |
35 | MACKAY Katherine | - | - | - | 1% | 7% | 36% | 56% |
36 | NANDA Maanika | - | - | 3% | 15% | 34% | 36% | 13% |
37 | LIU Stephanie | - | 4% | 18% | 34% | 31% | 12% | 1% |
38 | JOHNSON Neema | - | 1% | 9% | 31% | 42% | 18% | |
39 | LEE Grace | 1% | 9% | 30% | 38% | 20% | 3% | |
40 | WU Yuwei | - | - | 1% | 9% | 30% | 41% | 18% |
40 | GONZALEZ Veronika | - | - | 1% | 8% | 28% | 41% | 21% |
42 | STOLCKE Saskia | 4% | 19% | 37% | 29% | 10% | 1% | - |
43 | WANG JiaQi | - | - | 2% | 11% | 33% | 40% | 13% |
44 | LI Yuluo | - | - | 5% | 19% | 36% | 30% | 9% |
45 | PARK Haylie | - | 1% | 6% | 24% | 41% | 26% | 2% |
46 | YERENKOVA Ameliia | 1% | 7% | 29% | 38% | 20% | 4% | - |
47 | PHILLIPPY Hannah | 12% | 34% | 35% | 16% | 3% | - | - |
48 | CONVERSO-PARSONS Maia | 7% | 26% | 36% | 23% | 7% | 1% | - |
49 | LIANG Claire | 1% | 10% | 33% | 40% | 15% | 1% | |
50 | KANG Soeun | 4% | 21% | 40% | 27% | 7% | 1% | |
51 | TA-ZHOU Sophia | - | 3% | 16% | 34% | 32% | 13% | 2% |
52 | LEE Kaitlin | - | 6% | 21% | 35% | 27% | 10% | 1% |
53 | ILAGAN Ava | - | 6% | 22% | 36% | 27% | 8% | |
54 | FOSS Persephone | - | 1% | 6% | 21% | 35% | 28% | 9% |
55 | GU Allison | 3% | 17% | 33% | 31% | 13% | 3% | - |
56 | JUNG Elise | 1% | 11% | 30% | 36% | 18% | 3% | - |
57 | HU Heidi | - | 4% | 21% | 39% | 28% | 7% | |
58 | IORDANOVA Vela | 4% | 22% | 38% | 26% | 8% | 1% | - |
59 | SMITH Genevieve | 13% | 36% | 34% | 14% | 2% | - | - |
60 | KIM Eunjae | 7% | 30% | 37% | 20% | 6% | 1% | - |
61 | ZHANG Audrey | 4% | 24% | 37% | 25% | 8% | 1% | |
62 | YIN Xizi | 23% | 44% | 26% | 7% | 1% | - | |
63 | ONO Lisa | 1% | 7% | 24% | 37% | 25% | 6% | - |
64 | YOON Sela | - | 5% | 22% | 36% | 27% | 9% | 1% |
65 | WU Harper | 3% | 16% | 34% | 32% | 13% | 2% | - |
66 | CHAU Zoey | 2% | 13% | 31% | 33% | 17% | 4% | - |
67 | DATLA Aanya | 12% | 44% | 36% | 8% | 1% | - | |
68 | LI Tiffany | 1% | 7% | 28% | 38% | 21% | 5% | - |
69 | WEI Madison | - | 4% | 16% | 32% | 32% | 14% | 2% |
70 | WANG Keira | 3% | 16% | 34% | 32% | 13% | 2% | - |
71 | YANG Felicia | 3% | 27% | 43% | 23% | 4% | - | |
72 | OLESKY Ellie | - | 4% | 27% | 51% | 16% | 1% | |
73 | NARAYANAN Sinduja | 6% | 33% | 41% | 18% | 2% | - | |
74 | WANG Chloe | 4% | 31% | 42% | 19% | 3% | - | |
75 | POWERS Waverly | 2% | 13% | 30% | 33% | 18% | 4% | - |
76 | HAGN Luna | 5% | 23% | 38% | 25% | 8% | 1% | - |
77 | FONG Zoe | 3% | 17% | 34% | 30% | 13% | 2% | - |
78 | SHI Chuqing | 2% | 14% | 33% | 33% | 14% | 3% | - |
79 | CHEN Victoria | - | 5% | 23% | 40% | 26% | 5% | |
79 | MCCARTHY Nora Louisa Abrous | 21% | 44% | 27% | 7% | 1% | - | |
81 | SAGER Bianca | 57% | 35% | 7% | 1% | - | - | |
82 | BUCCINO Sloane | 74% | 23% | 3% | - | - | - | |
83 | LEE Jiyoung | 32% | 45% | 19% | 3% | - | - | |
84 | SU JOSERINE | 27% | 44% | 23% | 5% | - | - | |
85 | WEI Avril | 4% | 27% | 42% | 22% | 4% | - | |
86 | JUILLERAT Tabea | 2% | 26% | 42% | 24% | 6% | - | |
87 | QUIROS Lucia | 5% | 32% | 46% | 16% | 1% | - | |
88 | ARGUELLO Camilla | 4% | 19% | 34% | 29% | 12% | 2% | - |
90 | WANG Selina | 21% | 48% | 25% | 5% | - | - | - |
90 | TASSONE Charlie | 15% | 39% | 32% | 12% | 2% | - | - |
92 | LIAO Amber | 22% | 41% | 27% | 8% | 1% | - | - |
93 | LIM Isabella | 36% | 44% | 17% | 3% | - | - | - |
94 | NAKATA Gwyneth | 32% | 43% | 20% | 4% | - | - | - |
94 | GARCIA RODRIGUEZ Victoria Maria | 15% | 38% | 33% | 13% | 2% | - | - |
94 | JEON Kristen | 22% | 40% | 27% | 9% | 2% | - | - |
97 | CHAN Isla | 9% | 31% | 37% | 18% | 4% | - | - |
98 | SHUMAN Ana | 23% | 42% | 27% | 7% | 1% | - | - |
99 | GOLEN Grace | 5% | 24% | 37% | 25% | 8% | 1% | - |
100 | UPBIN Olivia | 57% | 36% | 6% | - | - | - | |
101 | LIM Charlotte | 13% | 33% | 33% | 16% | 4% | - | - |
102 | DILALLO Olivia | 42% | 43% | 13% | 2% | - | - | - |
102 | SVIDER Elle | 40% | 41% | 16% | 3% | - | - | - |
104 | KARAVAS Lucy | 47% | 39% | 12% | 2% | - | - | |
105 | LIN Laura | 69% | 27% | 4% | - | - | - | |
106 | CAO Audrey | 21% | 39% | 28% | 10% | 2% | - | - |
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.