2019 USA Fencing Anaheim SJCC Tournament

Cadet Women's Foil

Saturday, March 16, 2019 at 1:00 PM

Anaheim , CA - Anaheim, CA, USA

Probability density of pool victories

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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 CHENG Evelyn - - - 3% 19% 43% 34%
2 QIAN Crystal - - - 3% 17% 42% 38%
3 CHUSID Renata (Renata Chusid) M. - - - 1% 7% 34% 59%
3 LEE Allison (Allie) - - - 4% 18% 41% 37%
5 PARK Rowan M. - - 2% 15% 37% 35% 10%
6 CAO Arianna L. - - 2% 10% 29% 40% 19%
7 LAU Sydnee M. 1% 6% 23% 36% 27% 7%
8 KNIGHT Skylar - - - 3% 17% 41% 38%
9 JING Alexandra - - - 3% 18% 43% 35%
10 LI Phoebe J. - 1% 8% 27% 42% 21%
11 ZAROFF Roxanne - - 1% 6% 25% 43% 25%
12 FANG Sabrina - - - 4% 19% 43% 34%
13 HO Brianna W. - 1% 8% 26% 38% 23% 4%
14 SHEN Sophia H. - - 3% 18% 44% 36%
15 CONWAY Josephina (JoJo) J. - 4% 18% 35% 31% 10%
16 IBEN Claire L. - 5% 18% 35% 31% 11%
17 OH Erin H. - 6% 26% 38% 23% 6% 1%
18 LEE Alina - - 2% 10% 29% 40% 19%
19 CHEN Nicole Y. - - 2% 11% 32% 40% 16%
20 KONG Chin-Yi - - 5% 20% 38% 29% 7%
21 HOOSHI Erica S. - - 1% 9% 30% 42% 17%
22 YU Seneca 3% 16% 33% 31% 14% 2%
23 BRADFORD Meeah - 1% 7% 25% 40% 23% 3%
24 KIM Elisabeth (Gracie) - 4% 18% 35% 30% 11% 1%
24 ZHANG Sylvia - 1% 9% 28% 38% 20% 4%
26 KHOO Lauren A. - 5% 21% 35% 27% 10% 1%
27 GRIFFIN Emma G. - - 1% 7% 26% 43% 23%
28 FAN Elaine 2% 14% 32% 33% 15% 3% -
29 SEAL Grace (Gracie) C. - 1% 16% 40% 34% 9%
30 CHENG Lydia A. 4% 21% 36% 28% 10% 1%
31 UPTON Elizabeth - 2% 20% 42% 30% 6%
32 LEE Paulina - 4% 18% 33% 30% 12% 2%
33 TAKAGI Hikaru G. - 1% 10% 27% 36% 22% 4%
34 CASTANEDA Erika L. - 2% 11% 29% 35% 20% 3%
35 JING Emily - - 4% 19% 40% 32% 6%
36 MASSICK Laine - 4% 17% 34% 33% 12%
37 TONG Ophelia - 2% 25% 43% 25% 5%
38 DING Abigail 21% 40% 28% 9% 1% -
39 SOOD Ishani S. 1% 8% 25% 37% 24% 5%
40 CHO Taylor S. 1% 7% 23% 36% 25% 8% 1%
41 LAU Chloe M. - 3% 20% 39% 29% 9% 1%
42 FREEDMAN Miranda W. - - 1% 6% 24% 43% 27%
43 SUH Kailey E. 5% 22% 35% 26% 10% 2% -
44 TALWALKAR Apoorva 1% 13% 32% 34% 17% 3% -
45 JO Mia C. - 3% 15% 35% 33% 13% 2%
47 DUAN Konnie 7% 26% 35% 23% 7% 1%
48 YHIP Mikaela M. 1% 11% 31% 36% 17% 3% -
49 LOCKE Savannah - 7% 25% 36% 24% 7% 1%
50 LEE Isabelle - 11% 32% 35% 18% 4% -
51 KANG Jiyoon 9% 29% 35% 20% 6% 1% -
52 SERBAN Samantha M. - 1% 9% 28% 41% 21%
53 GOMES Rafaella T. 6% 24% 37% 25% 7% 1%
54 LEE Brianna J. - - 2% 10% 30% 41% 17%
55 CHO Gracie L. - 4% 17% 35% 32% 11% 1%
55 YIN Helen 19% 38% 30% 11% 2% - -
57 FERNANDES Thea 1% 14% 33% 33% 16% 3% -
58 ALTEN Ayaka 2% 13% 31% 33% 17% 3% -
59 GALAVOTTI Claire Teresa 7% 26% 36% 24% 7% 1% -
60 PENG Amber L. - 5% 21% 35% 28% 10% 1%
61 CHUSID Mikayla 19% 39% 29% 11% 2% -
62 DE LA CRUZ Eden - 16% 38% 32% 12% 2% -
63 KOROL Neta 1% 8% 35% 38% 15% 3% -
64 TRAN Ava D. - 13% 34% 34% 16% 3% -
65 SADAN Jordan E. - 3% 17% 34% 31% 13% 2%
66 GUERRA Sofia E. - - 5% 22% 40% 27% 6%
67 YEH Marissa E. 10% 30% 35% 19% 5% 1%
68 HSIUNG Samantha 19% 63% 16% 2% - -
69 NAM Cassie 39% 42% 16% 3% - - -
70 RAMAN Tanvi 1% 22% 41% 27% 8% 1% -
70 BECCHINA Claire E. 55% 35% 9% 1% - - -
72 CHEN Shiuan-An Shannon 6% 24% 36% 25% 8% 1% -
73 SENIC Adeline 1% 6% 21% 35% 28% 9% 1%
74 CHON Sydney 8% 27% 36% 22% 7% 1% -
75 CHO Cameron S. 4% 20% 37% 29% 9% 1%
76 WU Kyra 7% 27% 37% 23% 6% 1%
77 PRIETO Sofia M. 1% 12% 32% 34% 17% 3% -
78 KIM Hyunchae Y. 12% 36% 35% 14% 2% - -
79 DUMAINE Matilda J. 35% 50% 14% 1% - - -
80 XU Marie-Anne J. 10% 34% 37% 16% 3% - -
80 KOROL Dana 14% 35% 33% 14% 3% - -
82 YEN Natalie 1% 10% 27% 34% 21% 6% 1%
83 SHITAMOTO Audrey F. 2% 16% 35% 32% 13% 2% -
84 MCKEE Alexandra K. 25% 43% 26% 6% 1% - -
85 SUN Chien-Yu 4% 24% 39% 25% 7% 1% -
86 JACINTO JENNA R. 38% 47% 13% 1% - - -
87 SU Alysa J. 7% 30% 39% 20% 4% - -
88 KIM Katherine 9% 30% 36% 19% 5% -
89 HO Rachel E. 18% 38% 30% 11% 2% - -
90 NG Sarah W. 2% 12% 30% 35% 18% 3%
91 SCHWARTZMAN Salma 98% 2% - - - - -
92 VENFORD Annetta S. 71% 28% 2% - - -
93 YANIV Liya 93% 7% - - - - -
94 DHILLON Amani 83% 16% 1% - - - -

Explanation

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.