Monroe 33 Tennis, Basketball and Sports - Monroe Township, NJ, 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 | TSUI Natalie | - | - | - | 4% | 17% | 40% | 38% |
2 | JOHNSON Dagny L. | - | - | 2% | 14% | 40% | 43% | |
3 | HAMBAZAZA Liisa | - | 1% | 8% | 27% | 38% | 22% | 4% |
3 | MCKEE Brynnley | - | 2% | 13% | 33% | 35% | 15% | 2% |
5 | ANTHONY Alexia B. | - | - | - | 5% | 21% | 43% | 31% |
6 | CHIARELLI Valentina | - | 1% | 8% | 26% | 41% | 24% | |
7 | YOUNG Audrey | 1% | 8% | 28% | 38% | 22% | 3% | |
8 | DAI Olivia | 5% | 23% | 37% | 26% | 8% | 1% | |
9 | HE Lizbeth | - | 1% | 7% | 25% | 42% | 25% | |
10 | FESTA Carina | - | 2% | 13% | 37% | 36% | 12% | |
11 | MAKLIN Sofia | - | 1% | 9% | 33% | 41% | 16% | |
12 | SPEARS Mya B | - | - | 4% | 18% | 37% | 32% | 9% |
13 | CHOU Zoe | 2% | 13% | 29% | 32% | 18% | 5% | - |
14 | NATH Trisha | - | 1% | 6% | 27% | 43% | 23% | |
15 | GOMERMAN Sophia | - | 4% | 18% | 36% | 32% | 10% | |
16 | YOUNG Charlotte G. | - | 2% | 14% | 34% | 36% | 13% | |
17 | CHOU Amy R. | 1% | 9% | 28% | 37% | 21% | 4% | |
18 | ALTIRS Kate | 1% | 8% | 28% | 38% | 21% | 3% | |
19 | FLATT Sophia | 2% | 15% | 34% | 34% | 14% | 2% | |
20 | JEONG Katie | - | 3% | 14% | 33% | 35% | 14% | |
21 | HUANG Rachael | 1% | 7% | 24% | 36% | 25% | 6% | |
22 | SO Catelyn | - | 4% | 17% | 35% | 33% | 11% | |
23 | BERRIOS Catalina | 4% | 21% | 37% | 28% | 9% | 1% | |
24 | GUVEN Coco | 1% | 8% | 26% | 37% | 23% | 5% | |
25 | LOO Kaitlyn | 4% | 21% | 36% | 28% | 10% | 1% | |
26 | YAN Lena | 2% | 12% | 28% | 33% | 20% | 6% | 1% |
27 | BAINS Nandini | 32% | 44% | 19% | 4% | - | - | |
28 | ZHANG Sophie | - | 2% | 11% | 27% | 35% | 21% | 4% |
29 | MONTORIO Lily M. | 13% | 34% | 34% | 15% | 3% | - | |
30 | KHOST Maeve | 6% | 30% | 42% | 18% | 3% | - | |
31 | ZHANG Emily | 26% | 42% | 25% | 7% | 1% | - | |
32 | PROBASCO Leila | 16% | 41% | 32% | 9% | 1% | - | |
33 | LI Alexis | 15% | 38% | 33% | 12% | 2% | - | |
34 | LIM Alexa J. | 6% | 23% | 34% | 25% | 10% | 2% | - |
35 | RAY Auyona | 11% | 31% | 34% | 18% | 5% | 1% | - |
36 | MUND Ruth | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
37 | LAURI Keira | 40% | 41% | 16% | 3% | - | - | |
38 | CHO-SAYEGH Emily | 10% | 33% | 36% | 17% | 4% | - | |
39 | CHAVAN Arya | 38% | 43% | 16% | 3% | - | - | - |
40 | BORGUETA Madison | 12% | 40% | 35% | 12% | 2% | - | - |
41 | CHAN Madeleine V. | 5% | 25% | 40% | 23% | 6% | 1% | - |
42 | HU Anna | 7% | 31% | 38% | 19% | 4% | - | |
43 | KALINICHENKO Yekaterina | 20% | 41% | 29% | 9% | 1% | - | |
44 | LIU Yifei | 17% | 38% | 31% | 12% | 2% | - |
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.