Golisano Training Center at Nazareth University - Rochester, NY, 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 | NING Miranda | 100% | 100% | 100% | 96% | 82% | 51% | 15% |
2 | CHEN Alina | 100% | 100% | 100% | 95% | 70% | 14% | |
3 | YAN Ximei (Alicia) | 100% | 100% | 97% | 85% | 58% | 25% | 5% |
3 | ADYANTHAYA Anika | 100% | 100% | 100% | 100% | 99% | 94% | 63% |
5 | KANE Alexa | 100% | 100% | 100% | 98% | 85% | 44% | |
6 | KOUAME Candice | 100% | 96% | 77% | 41% | 11% | 1% | |
7 | WANG Chloe | 100% | 100% | 100% | 98% | 88% | 60% | 21% |
8 | LIN Alexis | 100% | 100% | 99% | 91% | 69% | 34% | 8% |
9 | XU Amy(Chenyu) | 100% | 100% | 100% | 100% | 96% | 79% | 39% |
10 | DHAIYA Tanya | 100% | 100% | 100% | 100% | 99% | 92% | 58% |
11 | CHOI Arianna | 100% | 100% | 100% | 97% | 85% | 56% | 19% |
12 | XU Mulan | 100% | 100% | 98% | 89% | 61% | 24% | 3% |
13 | CHEN Laila | 100% | 99% | 91% | 69% | 36% | 10% | 1% |
14 | CHEN Madeline | 100% | 100% | 98% | 87% | 60% | 25% | 4% |
15 | HAN Emma | 100% | 91% | 56% | 18% | 2% | - | |
16 | VILLER Alice | 100% | 98% | 86% | 58% | 26% | 6% | 1% |
17 | LEE Eden | 100% | 100% | 99% | 87% | 54% | 18% | 2% |
18 | RAJPUT Mahek | 100% | 99% | 89% | 63% | 30% | 8% | 1% |
19 | LEE Kate | 100% | 100% | 96% | 80% | 45% | 11% | |
20 | MEGGERS Arya | 100% | 97% | 81% | 51% | 21% | 5% | - |
21 | ZHANG Audrey | 100% | 100% | 97% | 82% | 49% | 15% | 1% |
22 | FAN Joy | 100% | 100% | 99% | 93% | 73% | 39% | 9% |
23 | HALE Reagan | 100% | 100% | 98% | 85% | 49% | 11% | |
24 | DING Iris Siyue | 100% | 100% | 95% | 72% | 30% | 4% | |
25 | ZHONG Evelyn | 100% | 100% | 99% | 92% | 68% | 26% | |
26 | XI Emily | 100% | 96% | 78% | 45% | 16% | 3% | - |
27 | ALLIEVI Simone | 100% | 99% | 94% | 77% | 45% | 16% | 2% |
28 | SUN Alisha | 100% | 98% | 85% | 56% | 24% | 6% | 1% |
29 | LIANG Kristy | 100% | 93% | 69% | 35% | 11% | 2% | - |
30 | LI ELVA | 100% | 74% | 25% | 4% | - | - | |
31 | HOWARD Katherine | 100% | 96% | 80% | 48% | 18% | 3% | - |
32 | XIE ANDREA | 100% | 99% | 93% | 72% | 39% | 11% | 1% |
33 | JIANG chenxi | 100% | 100% | 98% | 84% | 48% | 13% | 1% |
34 | ZHANG lindsay | 100% | 100% | 100% | 95% | 76% | 34% | |
35 | FURMAN Elizabeth | 100% | 100% | 97% | 73% | 30% | 4% | - |
36 | REDWINE Louise | 100% | 94% | 71% | 36% | 11% | 2% | - |
37 | CHEN Reina | 100% | 97% | 76% | 35% | 7% | - | |
38 | ZHANG Ashley | 100% | 96% | 75% | 39% | 11% | 1% | |
39 | JU Jennifer | 100% | 99% | 88% | 56% | 18% | 2% | |
40 | ZHU YUNXI | 100% | 100% | 100% | 97% | 69% | 24% | 2% |
41 | YOUNG Penelope | 100% | 100% | 93% | 67% | 30% | 6% | - |
42 | CHANG Hannah | 100% | 90% | 60% | 26% | 7% | 1% | - |
43 | TRIVULCE Scarlett | 100% | 90% | 60% | 26% | 7% | 1% | - |
44 | LI Kayla | 100% | 97% | 82% | 52% | 21% | 5% | - |
44 | ECCLESTONE Tara | 100% | 67% | 23% | 4% | - | - | - |
46 | LEE Zoe | 100% | 78% | 38% | 10% | 1% | - | |
47 | ZHAO Crystal | 100% | 95% | 69% | 28% | 5% | - | |
48 | ZHANG Flora | 100% | 82% | 45% | 15% | 3% | - | - |
49 | GURTIN Sasha | 100% | 99% | 91% | 65% | 29% | 7% | 1% |
50 | GRECO Athena | 100% | 89% | 58% | 25% | 6% | 1% | - |
51 | YOON Michelle | 100% | 90% | 29% | 4% | - | - | - |
52 | HUANG Cynthia | 100% | 85% | 47% | 15% | 2% | - | - |
53 | KIM Abigail | 100% | 97% | 80% | 49% | 19% | 4% | - |
54 | YOUN Emily | 100% | 98% | 88% | 61% | 28% | 7% | 1% |
54 | NIKOLLA Vivienne | 100% | 99% | 90% | 66% | 34% | 10% | 1% |
56 | CHO Josephine | 100% | 64% | 21% | 4% | - | - | |
57 | LEE Iona | 100% | 94% | 70% | 33% | 8% | 1% | |
58 | SHEN Sophia | 100% | 73% | 30% | 6% | 1% | - | |
59 | SELASSIE Semara | 100% | 96% | 75% | 41% | 13% | 2% | - |
60 | LOUGH Abbie | 100% | 19% | 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.