Santa Clara Convention Center - Santa Clara, CA, 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 | JIANG Evelyn | - | - | - | - | 4% | 28% | 68% |
2 | CHOWDHERY Myra | - | - | 1% | 7% | 28% | 44% | 21% |
3 | LONG Jessie | - | - | - | 2% | 16% | 44% | 37% |
3 | HEATH Isabella | - | - | 3% | 20% | 45% | 31% | |
5 | YU Skylar | - | - | 2% | 12% | 36% | 43% | 7% |
6 | KIM Saeren | - | - | - | 5% | 25% | 44% | 25% |
7 | YU Stella | - | - | - | 1% | 6% | 32% | 61% |
8 | LAUREYNS Ainsley | - | 2% | 12% | 34% | 39% | 14% | |
9 | YE Isabella | - | - | 6% | 25% | 44% | 25% | |
10 | CHANG Kaitlyn | - | 3% | 14% | 31% | 32% | 16% | 3% |
11 | CHEN Cindy | - | - | 5% | 22% | 43% | 30% | |
12 | HWANG Sophie | - | - | 1% | 8% | 29% | 44% | 18% |
13 | CHENG Anna | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
14 | CAO Kim | 1% | 13% | 38% | 34% | 12% | 1% | |
15 | KISARA-KELLY Aiko | 2% | 11% | 29% | 33% | 19% | 5% | 1% |
16 | CORD Sophia | - | 3% | 15% | 31% | 33% | 15% | 2% |
17 | RUSMEVICHIENTONG Lyla | - | - | 5% | 26% | 46% | 22% | |
18 | BRIMMER Bella | - | 4% | 16% | 33% | 33% | 13% | 1% |
19 | DIMAPILIS JHEAVEN | - | 1% | 10% | 29% | 38% | 18% | 3% |
20 | DUFF Caitlin | - | 3% | 16% | 33% | 32% | 13% | 2% |
21 | HU Ashley | - | - | 3% | 18% | 40% | 31% | 8% |
22 | LIU Isabel | 1% | 11% | 32% | 37% | 17% | 3% | |
23 | ZHU Avril | - | - | 2% | 10% | 28% | 38% | 21% |
24 | CAI Joanna | 1% | 6% | 21% | 34% | 27% | 9% | 1% |
25 | LONG Chloe | - | - | 3% | 14% | 32% | 36% | 16% |
26 | KO Ariel | - | 1% | 9% | 26% | 38% | 23% | 3% |
27 | PARK Chloe | - | 4% | 15% | 29% | 32% | 17% | 3% |
28 | BACKES Anastasia | 1% | 8% | 25% | 35% | 24% | 7% | - |
28 | GAO Olivia | 2% | 13% | 30% | 33% | 18% | 4% | - |
30 | SANTIAGO Hannah | 1% | 10% | 30% | 38% | 18% | 3% | - |
31 | WANG Tina | - | 1% | 10% | 32% | 41% | 17% | |
32 | FAN Tina | - | 4% | 20% | 40% | 29% | 7% | |
33 | ARVIND Heera | 2% | 12% | 29% | 33% | 19% | 5% | - |
34 | ZOFFEL Gabriela | 8% | 27% | 34% | 22% | 7% | 1% | - |
35 | LIN Rongxuan | - | 2% | 11% | 28% | 34% | 20% | 4% |
36 | SHI Maxine | 4% | 17% | 31% | 30% | 15% | 4% | - |
37 | SARATH Sana | 9% | 29% | 35% | 21% | 6% | 1% | - |
38 | ASHIKHMINA Agniya | 8% | 28% | 37% | 21% | 5% | - | - |
39 | LIU Anya | 8% | 28% | 36% | 21% | 6% | 1% | - |
40 | DUDNICK Caitlin | 2% | 15% | 36% | 33% | 12% | 2% | |
41 | ROBBINS Lydia | 31% | 48% | 18% | 2% | - | - | |
42 | YU Sydney | 40% | 45% | 14% | 2% | - | - | |
43 | NARRELL Olive | 1% | 14% | 40% | 34% | 10% | 1% | |
44 | LUC Madisyn | 3% | 17% | 36% | 32% | 10% | 1% | - |
45 | WANG Sinuo | - | - | 2% | 12% | 30% | 37% | 18% |
46 | TAN Angela | 27% | 43% | 23% | 6% | 1% | - | - |
47 | CHENG Zijuan "Grace" | - | 2% | 11% | 27% | 34% | 21% | 5% |
48 | XU Ella | 16% | 38% | 32% | 12% | 2% | - | - |
49 | ZHOU Kelsey | 12% | 35% | 36% | 15% | 2% | - | - |
50 | LI Bernadette | 35% | 47% | 16% | 2% | - | - | |
51 | WANG April | - | 5% | 26% | 43% | 23% | 4% | |
52 | HAGENBUCH Isabella | 8% | 33% | 37% | 17% | 3% | - | |
53 | SUTHERLAND Sadie | 6% | 24% | 36% | 25% | 8% | 1% | - |
54 | OLESKY Ellie | 1% | 8% | 23% | 33% | 24% | 9% | 1% |
54 | YANG Renee | 9% | 29% | 36% | 20% | 5% | 1% | - |
56 | TABANCAY Ava | 4% | 19% | 35% | 29% | 11% | 2% | - |
57 | SCHAMBERGER Amelia | 13% | 36% | 33% | 14% | 3% | - | - |
57 | JOHNSTON Sabrina | 10% | 33% | 37% | 17% | 3% | - | - |
59 | MENDOZA YSABELLA LOUISE | 15% | 39% | 33% | 11% | 2% | - | - |
60 | CONG Catherine | 8% | 26% | 34% | 23% | 8% | 1% | - |
61 | CHAN Clara | 25% | 41% | 25% | 7% | 1% | - | - |
62 | GUERVILLE Angelique | 4% | 21% | 39% | 27% | 8% | 1% | - |
63 | MURRAY Claire | 1% | 11% | 31% | 36% | 18% | 4% | - |
64 | SONG Phoebe | 24% | 47% | 24% | 5% | - | - | |
65 | WU Melody | 46% | 40% | 12% | 2% | - | - | |
66 | LIU Kaylee | 28% | 41% | 24% | 7% | 1% | - | - |
66 | SHA Chloe | 14% | 35% | 33% | 14% | 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.