Rockland Community College - Suffern, 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 | CAI Ilana | 100% | 100% | 100% | 100% | 99% | 91% | 57% |
2 | SHIN SE EUN | 100% | 100% | 100% | 98% | 85% | 53% | 16% |
3 | MCFARLANE Asha | 100% | 100% | 100% | 99% | 92% | 67% | 24% |
3 | KRAHE Annika | 100% | 100% | 100% | 97% | 83% | 44% | 6% |
5 | GONG Hai | 100% | 100% | 100% | 100% | 98% | 87% | 47% |
6 | LI Savannah | 100% | 100% | 100% | 99% | 94% | 73% | 30% |
7 | ROBERTS Anastasia | 100% | 100% | 99% | 90% | 61% | 21% | |
8 | ORRINGER Lottie | 100% | 100% | 100% | 100% | 99% | 89% | 51% |
9 | SHIN Elizabeth | 100% | 100% | 100% | 98% | 87% | 56% | 16% |
10 | BAULIN Zoya | 100% | 99% | 92% | 70% | 35% | 8% | |
10 | ORBÉ-AUSTIN Maya | 100% | 100% | 100% | 97% | 79% | 35% | |
12 | JIANG Chloe | 100% | 100% | 100% | 99% | 89% | 57% | 13% |
13 | ZHU Ella | 100% | 84% | 47% | 15% | 2% | < 1% | - |
14 | DE CASTRO Kai | 100% | 100% | 99% | 89% | 57% | 16% | |
15 | FEDAN Nicole | 100% | 100% | 100% | 100% | 98% | 83% | 39% |
16 | DINAR Julia | 100% | 97% | 83% | 51% | 19% | 3% | |
17 | MURPHY Genevieve | 100% | 100% | 100% | 96% | 78% | 39% | 7% |
18 | JOO Sara | 100% | 100% | 95% | 75% | 40% | 12% | 1% |
19 | COUAILLIER Lou | 100% | 99% | 91% | 65% | 29% | 6% | - |
20 | MACKINTOSH Quinn | 100% | 100% | 97% | 81% | 48% | 15% | 1% |
21 | JAZWINSKI Ivy | 100% | 100% | 98% | 85% | 55% | 19% | 2% |
22 | ZHANG Zoey | 100% | 100% | 99% | 93% | 70% | 30% | 4% |
23 | XING Melly | 100% | 100% | 95% | 78% | 45% | 14% | 2% |
24 | TAO Isabella | 100% | 100% | 99% | 91% | 67% | 30% | 5% |
25 | CHAN Jolene | 100% | 100% | 94% | 73% | 36% | 8% | |
26 | CHOI Cara | 100% | 94% | 71% | 35% | 10% | 1% | |
27 | CHUNG Stella | 100% | 90% | 58% | 22% | 4% | - | - |
28 | FEDER Acadia | 100% | 100% | 94% | 72% | 34% | 8% | 1% |
29 | LEO Jenna | 100% | 99% | 83% | 45% | 11% | 1% | |
30 | SINGH Evangelina | 100% | 99% | 94% | 75% | 41% | 11% | |
31 | CAO Amelie | 100% | 100% | 97% | 84% | 53% | 18% | 3% |
32 | RAFFAELE Nancy | 100% | 99% | 87% | 56% | 21% | 4% | - |
33 | PARK Hannah | 100% | 100% | 95% | 77% | 42% | 12% | 1% |
34 | BALIN Sophia | 100% | 97% | 80% | 48% | 17% | 3% | |
35 | WU Charlotte | 100% | 93% | 65% | 27% | 6% | - | |
36 | LU Miaotian | 100% | 85% | 49% | 17% | 3% | - | - |
37 | ENRIQUEZ Bianca Perla | 100% | 100% | 92% | 64% | 23% | 3% | |
38 | ZHENG Annalyn | 100% | 97% | 77% | 40% | 11% | 1% | |
39 | HAFEZ Sahar | 100% | 100% | 95% | 74% | 36% | 8% | |
40 | DONG Katelyn | 100% | 46% | 9% | 1% | - | - | |
41 | CHAN Kaitlyn | 100% | 96% | 76% | 39% | 11% | 1% | - |
42 | CESAIRE Giselle | 100% | 83% | 45% | 14% | 2% | - | - |
43 | ALLEN Sophia | 100% | 94% | 72% | 36% | 10% | 1% | - |
43 | HUSSAIN Maya | 100% | 94% | 69% | 31% | 8% | 1% | - |
45 | PAEK Ellie | 100% | 62% | 20% | 4% | - | - | - |
46 | SHARAIEVSKA Mariia | 100% | 92% | 62% | 25% | 5% | - | - |
47 | BENTLEY Amelia | 100% | 63% | 22% | 4% | - | - | |
48 | ZHU Alivia | 100% | 98% | 85% | 53% | 19% | 3% | - |
49 | HOLLIS Priscillia | 100% | 93% | 66% | 30% | 7% | 1% | - |
50 | YOUM Amelia | 100% | 79% | 38% | 10% | 1% | - | - |
51 | SHUTZER Lily | 100% | 97% | 78% | 42% | 11% | 1% | - |
52 | LAU Victoria | 100% | 70% | 28% | 6% | 1% | - | - |
53 | SPEZAKIS Hypatia | 100% | 93% | 66% | 29% | 7% | 1% | - |
54 | ZHANG Caroline | 100% | 87% | 50% | 17% | 3% | - | - |
55 | PAEK Mila | 100% | 86% | 47% | 14% | 2% | - | - |
56 | KHETPAL Aalia | 100% | 89% | 48% | 13% | 2% | - | |
57 | ELLISON Ingrid | 100% | 97% | 82% | 49% | 17% | 3% | - |
58 | XU Charlene | 100% | 93% | 68% | 33% | 9% | 1% | - |
59 | LI Doreen | 100% | 87% | 54% | 21% | 4% | - | |
60 | HUANG Gabrielle | 100% | 91% | 57% | 21% | 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.