Ontario Convention Center - Hall A&B - Ontario, CA, 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 | ZHANG Soleil C. | 100% | 100% | 100% | 100% | 100% | 98% | 76% |
2 | HSU Kaylin | 100% | 100% | 100% | 100% | 100% | 99% | 89% |
3 | DENG Melissa | 100% | 100% | 100% | 100% | 100% | 95% | 62% |
3 | BAE Yooju | 100% | 100% | 100% | 100% | 100% | 94% | 64% |
5 | LENK Sophie | 100% | 100% | 100% | 100% | 99% | 87% | 45% |
6 | ZHANG Ivy | 100% | 100% | 100% | 96% | 76% | 33% | |
7 | REN Kayley | 100% | 100% | 100% | 96% | 75% | 30% | |
8 | YONG Rosalind | 100% | 100% | 100% | 99% | 91% | 58% | 15% |
9 | HO Addison | 100% | 100% | 100% | 100% | 99% | 93% | 61% |
10 | AYUPOVA AMELIYA | 100% | 100% | 100% | 100% | 98% | 75% | |
11 | ZHOU Joi | 100% | 100% | 96% | 77% | 40% | 10% | 1% |
12 | KIM Sydney | 100% | 100% | 100% | 97% | 79% | 41% | 9% |
13 | LI Joy | 100% | 100% | 99% | 91% | 62% | 21% | |
14 | ZHANG Lian | 100% | 100% | 100% | 98% | 81% | 37% | 4% |
15 | MIYASHIRO Katelyn | 100% | 100% | 96% | 77% | 40% | 10% | 1% |
16 | VANMOORSEL Faye | 100% | 100% | 94% | 69% | 27% | 2% | |
17 | SAIFEE Lamya | 100% | 100% | 100% | 100% | 100% | 96% | 68% |
18 | SWANSON Alexa | 100% | 100% | 100% | 100% | 99% | 94% | 63% |
19 | WYNN Kylie | 100% | 100% | 100% | 98% | 88% | 57% | 18% |
20 | WU Chingfei Amber | 100% | 100% | 98% | 90% | 65% | 27% | 4% |
21 | DESAI Esha | 100% | 100% | 99% | 88% | 57% | 17% | |
22 | CHOI Sophie | 100% | 99% | 90% | 58% | 18% | 1% | |
23 | LI Alice | 100% | 100% | 98% | 84% | 47% | 11% | |
24 | POEI Lauren | 100% | 100% | 100% | 98% | 83% | 40% | 5% |
25 | LEVESQUE Brielle | 100% | 100% | 100% | 99% | 93% | 64% | 14% |
26 | PEDERSEN Haley | 100% | 98% | 86% | 56% | 21% | 4% | - |
27 | YUEN Elsie | 100% | 100% | 99% | 92% | 67% | 28% | 3% |
28 | CUI alivia | 100% | 100% | 98% | 87% | 54% | 17% | 1% |
29 | KIM Lauren | 100% | 100% | 97% | 80% | 44% | 11% | - |
30 | WANG Doreen | 100% | 100% | 98% | 80% | 35% | 6% | - |
31 | HOM Avery | 100% | 96% | 77% | 43% | 14% | 2% | - |
32 | LIU Ariana | 100% | 100% | 97% | 82% | 46% | 12% | 1% |
33 | SUN Chloe | 100% | 100% | 100% | 100% | 100% | 97% | 72% |
34 | DENG Claire | 100% | 99% | 88% | 58% | 21% | 3% | - |
35 | HU Jenna | 100% | 100% | 99% | 95% | 72% | 27% | |
36 | MONAT Jennifer | 100% | 100% | 95% | 71% | 32% | 6% | |
37 | FANG Kelervia | 100% | 100% | 99% | 89% | 60% | 23% | 2% |
38 | KIM Erin | 100% | 99% | 91% | 62% | 25% | 5% | - |
39 | BU Jiayi | 100% | 100% | 98% | 88% | 57% | 19% | 2% |
40 | YU Sophie | 100% | 100% | 98% | 84% | 50% | 14% | - |
41 | CHANG Lydia | 100% | 100% | 98% | 84% | 50% | 16% | 1% |
42 | DAI Iris Yuyang | 100% | 100% | 99% | 88% | 56% | 18% | 1% |
43 | LIU Samantha | 100% | 100% | 97% | 78% | 38% | 7% | |
44 | ANDONIAN Lauren | 100% | 100% | 97% | 81% | 45% | 14% | 2% |
45 | XIA Isabella | 100% | 87% | 54% | 20% | 4% | - | - |
46 | WILLIAMSON Tessa | 100% | 100% | 99% | 86% | 48% | 12% | 1% |
47 | ZEE Savannah | 100% | 100% | 99% | 91% | 64% | 24% | 2% |
48 | LIM Kensie | 100% | 96% | 75% | 39% | 11% | 1% | - |
48 | YAO Abby | 100% | 100% | 100% | 93% | 64% | 22% | 3% |
50 | DESERANNO Seren | 100% | 100% | 98% | 86% | 54% | 17% | 1% |
51 | OROPEZA tamara | 100% | 100% | 100% | 98% | 84% | 49% | 13% |
52 | LIU Isabelle | 100% | 82% | 34% | 7% | 1% | - | - |
53 | LIN Allison | 100% | 90% | 58% | 22% | 4% | - | - |
54 | RUI Jessie | 100% | 92% | 63% | 25% | 5% | - | |
55 | KENSICKI Phoebe | 100% | 99% | 88% | 54% | 16% | 1% | |
56 | SAH Madeleine | 100% | 100% | 91% | 53% | 16% | 2% | - |
57 | ZHAO Olivia | 100% | 93% | 68% | 33% | 9% | 1% | - |
58 | WANG Yanxuan(Alicia) | 100% | 98% | 77% | 30% | 5% | - | - |
59 | LUCAS Ava | 100% | 98% | 78% | 39% | 10% | 1% | - |
60 | CHEN Madeleine | 100% | 96% | 70% | 22% | 3% | - | - |
61 | SOE Hayleigh | 100% | 100% | 95% | 76% | 39% | 8% | - |
62 | CHO Karis | 100% | 88% | 47% | 13% | 2% | - | |
63 | ZHANG Gwenyth | 100% | 92% | 61% | 24% | 4% | - | |
64 | MA Emily(Yiming) | 100% | 82% | 31% | 6% | - | - | |
65 | XI Sophia | 100% | 80% | 38% | 9% | 1% | - | - |
66 | PARK Lauren | 100% | 99% | 94% | 75% | 41% | 11% | 1% |
67 | HUGHES Olivia | 100% | 82% | 42% | 12% | 1% | - | |
68 | ZOU JIAYING | 100% | 93% | 66% | 27% | 6% | - | - |
69 | ANWEILER Megan | 100% | 80% | 27% | 3% | - | - | - |
70 | ZHANG Queeny | 100% | 88% | 54% | 19% | 3% | - | - |
71 | HAN Gian | 100% | 100% | 99% | 90% | 63% | 24% | 3% |
72 | LIU Ashley | 100% | 99% | 88% | 56% | 20% | 3% | - |
73 | ZONG Melody | 100% | 99% | 89% | 53% | 16% | 2% | |
74 | TAN Shouyin | 100% | 92% | 53% | 15% | 2% | - | |
75 | TU Averie | 100% | 41% | 7% | 1% | - | - | |
76 | COX Sophia | 100% | 99% | 85% | 48% | 14% | 2% | |
77 | HOROWITZ Shuli | 100% | 95% | 70% | 32% | 7% | - | |
78 | YANG Callie | 100% | 53% | 13% | 2% | - | - | |
79 | ZHAN Catherine | 100% | 48% | 9% | 1% | - | - | |
80 | FAN Sophia | 100% | 95% | 65% | 26% | 5% | - | - |
81 | LI Chelsea | 100% | 91% | 59% | 22% | 4% | - | - |
81 | AHN Hayley | 100% | 85% | 37% | 6% | - | - | - |
83 | LING Camryn | 100% | 98% | 75% | 35% | 9% | 1% | - |
83 | IDANAWANG Madison | 100% | 80% | 39% | 10% | 1% | - | - |
85 | SINGH Evangelina | 100% | 82% | 37% | 9% | 1% | - | - |
86 | LAU Shu Yeung Sophia | 100% | 81% | 41% | 11% | 1% | - | - |
87 | KIM Natalie | 100% | 58% | 16% | 2% | - | - | - |
88 | KULKARNI myra | 100% | 24% | 2% | - | - | - | - |
89 | IDANAWANG Allison | 100% | 41% | 4% | - | - | - | - |
90 | LEE Abigail | 100% | 79% | 38% | 10% | 1% | - | - |
90 | VILLARAMA Kara | 100% | 96% | 78% | 44% | 15% | 2% | - |
92 | WANG Ellen | 100% | 48% | 8% | - | - | - | - |
92 | YANG Byanca | 100% | 43% | 7% | - | - | - | - |
94 | YU-TAN Claire | 100% | 32% | 4% | - | - | - | - |
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.