Phoenix Convention Center - Phoenix, AZ, 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 | TABANGAY Heartlyn | - | - | - | 5% | 22% | 44% | 28% |
2 | RAMIREZ Mirka A. | - | 2% | 10% | 25% | 33% | 23% | 7% |
3 | HAMMERSTROM Aria | 1% | 13% | 32% | 33% | 16% | 4% | - |
3 | XIONG Haojiao | - | - | 1% | 10% | 37% | 52% | |
5 | LIM Jaslene | - | - | 1% | 5% | 21% | 42% | 32% |
6 | DAI Olivia | - | 1% | 6% | 21% | 35% | 28% | 8% |
7 | CHIANG Melissa | - | 2% | 12% | 28% | 33% | 19% | 5% |
8 | XU Emily T. | - | 3% | 13% | 30% | 33% | 18% | 3% |
9 | GRULICH Rayaana | 1% | 13% | 34% | 34% | 15% | 3% | |
10 | CANSECO Carly | 1% | 6% | 19% | 32% | 28% | 13% | 2% |
11 | ZENG Sarah | - | 5% | 22% | 37% | 28% | 8% | |
12 | CHIN Elise | - | - | 1% | 7% | 27% | 44% | 21% |
13 | MERCHANT Aishwarya | 1% | 10% | 27% | 33% | 21% | 7% | 1% |
14 | CHIANG Emily | - | 1% | 5% | 20% | 42% | 33% | |
15 | ISBERG Natalie | - | 2% | 14% | 32% | 33% | 16% | 3% |
16 | GRAJALES Hannah E. | - | 2% | 14% | 34% | 35% | 14% | |
17 | SIDDIQUI Reem | - | 2% | 11% | 27% | 33% | 21% | 5% |
18 | HUA Catherine W. | - | - | 1% | 8% | 27% | 41% | 22% |
18 | ARNECKE Lauren A. | - | - | 2% | 11% | 30% | 39% | 18% |
18 | CHO Michelle | - | 3% | 14% | 31% | 33% | 17% | 3% |
21 | TREACY Aisling | - | 3% | 14% | 30% | 32% | 17% | 4% |
22 | DUDNICK Morgan | - | 4% | 17% | 33% | 30% | 13% | 2% |
23 | LIN Nicole | - | 2% | 14% | 33% | 36% | 14% | |
24 | DANTULURI Shalini | - | - | 4% | 17% | 34% | 32% | 12% |
24 | GOLOVITSER Maya | 1% | 5% | 17% | 30% | 29% | 15% | 3% |
24 | MANKOVA Varvara | - | 3% | 12% | 28% | 33% | 20% | 5% |
27 | MYAT Chloe | - | 4% | 18% | 35% | 31% | 11% | 2% |
28 | TUNG Renee | - | 4% | 19% | 34% | 29% | 12% | 2% |
29 | TODD Phoebe | - | 3% | 15% | 30% | 32% | 16% | 3% |
30 | TAN Adelyn | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
31 | HAMBAZAZA Liisa | - | - | 4% | 17% | 34% | 32% | 12% |
32 | WILSON Eva | - | 3% | 14% | 30% | 32% | 17% | 4% |
33 | LIAO Siwen | - | - | - | 3% | 17% | 45% | 36% |
34 | LITTLE Avery | - | 4% | 19% | 34% | 29% | 11% | 2% |
35 | LISSO Ria A. | - | - | - | 1% | 8% | 35% | 57% |
35 | BUHAY Kirsten M. | - | 1% | 6% | 20% | 35% | 29% | 9% |
35 | ZHANG Sophie | - | - | 2% | 10% | 31% | 40% | 18% |
38 | FREY Sarah E. | 4% | 22% | 38% | 27% | 8% | 1% | |
39 | KINKADE Ellie | - | 1% | 6% | 21% | 35% | 28% | 9% |
40 | SHINCHUK Ellisha | - | - | 6% | 28% | 42% | 21% | 3% |
41 | FENG Alicia G. | - | 5% | 19% | 33% | 28% | 12% | 2% |
41 | LI Alexis | 1% | 7% | 23% | 35% | 25% | 9% | 1% |
43 | YOUNG Audrey | 1% | 5% | 19% | 33% | 28% | 12% | 2% |
44 | YAM Danika | - | 1% | 7% | 22% | 34% | 27% | 9% |
45 | REN Xinling | - | 2% | 11% | 27% | 34% | 21% | 5% |
46 | PRAXL Alexa R. | - | - | 2% | 9% | 27% | 40% | 23% |
47 | MONTORIO Lily M. | - | 4% | 17% | 31% | 30% | 15% | 3% |
47 | SCHICK Veronica | - | 1% | 10% | 30% | 38% | 18% | 3% |
49 | ADAMS Morrigan B. | - | 2% | 13% | 32% | 37% | 15% | |
50 | ZOLLER Noelle | 3% | 18% | 35% | 31% | 12% | 2% | |
51 | LIU Yifei | - | - | 1% | 7% | 27% | 44% | 22% |
52 | CHAN Kayla | 1% | 12% | 30% | 34% | 19% | 5% | - |
53 | BROWNER June | 3% | 18% | 34% | 29% | 13% | 3% | - |
54 | LEE Lauren | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
55 | NAYAK Anika | 2% | 11% | 29% | 34% | 19% | 5% | - |
56 | HUANG MADELINE | - | - | 3% | 15% | 33% | 35% | 14% |
57 | JIANG Mu Jia (Michelle) | - | 5% | 19% | 33% | 29% | 12% | 2% |
58 | REGANTI Sitara | 5% | 21% | 35% | 27% | 10% | 2% | - |
59 | DENG Brooke | - | - | 4% | 16% | 34% | 34% | 13% |
60 | SPEARS Mya B | 1% | 7% | 25% | 37% | 24% | 6% | |
61 | MALEK Zolie | - | 1% | 4% | 17% | 34% | 32% | 12% |
62 | MANN Sophia J. | - | - | 4% | 16% | 34% | 34% | 13% |
63 | STONE Coral | - | 2% | 9% | 25% | 35% | 23% | 5% |
64 | ELLIS-FURLONG Ava | 13% | 38% | 34% | 13% | 2% | - | - |
65 | SCHAIBLE Sofia L. | 2% | 14% | 32% | 34% | 16% | 3% | |
66 | GOMERMAN Sophia | - | - | 4% | 16% | 33% | 33% | 14% |
67 | COLTER Aurora | - | - | 2% | 12% | 30% | 38% | 19% |
68 | TESTROET Aubrey | - | 2% | 10% | 27% | 35% | 21% | 5% |
69 | CHI Claire | 1% | 9% | 28% | 36% | 21% | 5% | - |
70 | BAINS Nandini | 18% | 37% | 30% | 12% | 3% | - | - |
71 | SCHOEW Margot | 3% | 19% | 37% | 30% | 10% | 1% | |
72 | DIECK Miranda P. | 4% | 21% | 36% | 28% | 10% | 1% | |
73 | BAWA Anahat | - | 1% | 7% | 31% | 41% | 19% | 2% |
74 | ZHENG Valentina | - | 1% | 8% | 26% | 38% | 22% | 5% |
75 | FAN Grace | - | - | 3% | 20% | 42% | 31% | 5% |
76 | MCNALLY Teagan | 3% | 15% | 33% | 32% | 14% | 3% | - |
77 | ZHAN Sophie | - | 3% | 14% | 30% | 33% | 17% | 3% |
78 | CAO Sophie | 1% | 9% | 29% | 36% | 20% | 5% | - |
79 | DEHON Inès | - | 6% | 23% | 39% | 25% | 6% | 1% |
80 | DONDERIS Katherine | 3% | 15% | 30% | 30% | 16% | 4% | - |
81 | CHAVAN Arya | - | 3% | 14% | 30% | 33% | 16% | 3% |
81 | HOLMES Sabrina | 3% | 19% | 36% | 30% | 11% | 2% | - |
83 | NEUMAN Ella | 1% | 8% | 26% | 35% | 23% | 7% | 1% |
84 | BANGALORE Shriya | 19% | 48% | 28% | 5% | - | - | - |
85 | GARRETT Madrid | 1% | 9% | 29% | 38% | 20% | 3% | |
86 | CARLUCCI Laura A. | - | 9% | 28% | 37% | 21% | 5% | |
87 | PABIAN Emilia | - | 9% | 29% | 37% | 21% | 4% | |
88 | NGUYEN Madeleine | 24% | 42% | 25% | 7% | 1% | - | |
89 | ASHTIANI Shaya | 15% | 36% | 32% | 14% | 3% | - | - |
90 | DANG Kelia | - | - | 1% | 9% | 29% | 41% | 20% |
91 | LOO Kaitlyn | - | 2% | 11% | 28% | 34% | 20% | 4% |
92 | HUANG Neila | 1% | 8% | 25% | 35% | 23% | 8% | 1% |
93 | LUKER Hannah | 4% | 21% | 39% | 27% | 8% | 1% | - |
94 | CHOU Zoe | - | 5% | 20% | 33% | 28% | 11% | 2% |
95 | DUCKETT Leighton | 20% | 38% | 28% | 11% | 2% | - | - |
96 | CROOKS Riley | 1% | 9% | 26% | 35% | 22% | 7% | 1% |
96 | SADANI Jyotika | 3% | 17% | 34% | 30% | 13% | 2% | - |
98 | LEUNG Ashlyn K. | - | 5% | 19% | 33% | 29% | 12% | 2% |
99 | RANJAN Diya | 3% | 18% | 36% | 30% | 11% | 2% | - |
100 | DEBERTIN Beth | 1% | 6% | 22% | 33% | 26% | 10% | 2% |
101 | CHOW Caitlyn | 24% | 44% | 25% | 6% | 1% | - | - |
102 | LIU Hannah | 23% | 43% | 26% | 7% | 1% | - | - |
103 | VERWEST Melissa | 41% | 40% | 15% | 3% | - | - | - |
104 | CHEN Kevy | 2% | 14% | 34% | 33% | 15% | 2% | |
105 | JEAN Emmanuelle C. | 1% | 10% | 30% | 37% | 19% | 3% | |
106 | BUCKHOUSE Talia | 17% | 39% | 31% | 11% | 2% | - | |
107 | WHITESIDES Abigail E. | 1% | 11% | 29% | 36% | 20% | 4% | |
108 | SHEARER Alena | 2% | 12% | 29% | 32% | 18% | 5% | 1% |
109 | NICHOLAS Eva | 3% | 15% | 32% | 31% | 15% | 3% | - |
110 | NAYAK Esha | - | 2% | 11% | 27% | 33% | 21% | 5% |
111 | KORINTH Jacqueline | 6% | 28% | 37% | 22% | 7% | 1% | - |
112 | SUHALIM Maree | 9% | 30% | 36% | 19% | 5% | 1% | - |
113 | VANKIRK Avery | 29% | 42% | 23% | 6% | 1% | - | - |
114 | COLBY Mercer | 2% | 12% | 29% | 32% | 19% | 6% | 1% |
115 | BRAMMER-GONZALES Xiomara | 5% | 30% | 46% | 16% | 2% | - | - |
116 | KIM Caitlin | 7% | 26% | 35% | 23% | 7% | 1% | - |
117 | IYER Arushi | 7% | 26% | 35% | 23% | 8% | 1% | - |
118 | MORGAN Lily | 43% | 44% | 12% | 1% | - | - | - |
119 | HOAGLAND Simone | 4% | 21% | 37% | 27% | 9% | 1% | - |
119 | ZHOU Ziling | 20% | 41% | 28% | 9% | 1% | - | - |
121 | HERMAN Sabrina | 47% | 38% | 13% | 2% | - | - | - |
122 | GOSAVI Aabolee | 11% | 46% | 32% | 9% | 1% | - | - |
123 | ROOPRAI Amarjot | 28% | 41% | 24% | 7% | 1% | - | |
124 | FORD-BURRIS Zooey | 46% | 39% | 12% | 2% | - | - | |
125 | DUCKETT Retta | 4% | 18% | 33% | 30% | 13% | 3% | - |
126 | CHO Kaeli M. | 79% | 19% | 2% | - | - | - | |
127 | ABDULLAHI Saara | 4% | 25% | 39% | 24% | 6% | 1% | - |
127 | RIESTERER Katherine | 47% | 38% | 12% | 2% | - | - | - |
127 | CHOI Sophie Grace | 10% | 32% | 35% | 18% | 5% | 1% | - |
130 | PREIMESBERGER Elaine | 26% | 42% | 25% | 7% | 1% | - | - |
131 | MARTIN Audrey | 41% | 43% | 14% | 2% | - | - | - |
131 | SIMS Addy | 66% | 29% | 5% | - | - | - | - |
133 | SEELIG Samantha | 5% | 23% | 34% | 25% | 10% | 2% | - |
134 | LAZO Emily | 43% | 40% | 14% | 3% | - | - | - |
134 | TERP Lucy | 25% | 43% | 25% | 7% | 1% | - | - |
136 | VILD Grace | 9% | 32% | 36% | 18% | 5% | 1% | - |
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.