MSA Fieldhouse - GRAND RAPIDS, MI, 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 | KNAPP Isabella | - | - | - | 2% | 24% | 74% | |
| 2 | HU Sophie | - | - | - | 1% | 10% | 38% | 51% |
| 3 | HUANG Natalie | - | - | 2% | 12% | 40% | 46% | |
| 3 | HOROWITZ Shuli | - | - | - | - | 6% | 34% | 59% |
| 5 | BOIKE Lucille | - | - | - | 1% | 22% | 77% | |
| 6 | SALMI-BYDALEK Ada | - | - | 2% | 11% | 35% | 44% | 8% |
| 7 | DHALIWAL Seerat | - | - | 2% | 21% | 64% | 13% | |
| 8 | KASHUBA Mila | - | 3% | 14% | 34% | 36% | 12% | |
| 9 | CULLIVAN Sienna | - | - | - | - | 3% | 25% | 72% |
| 10 | SUN Nicole | - | 1% | 5% | 21% | 42% | 32% | |
| 11 | CHUNG Stella | - | 1% | 7% | 25% | 41% | 23% | 3% |
| 12 | LEE Eun-Hae | 2% | 12% | 31% | 35% | 17% | 3% | - |
| 13 | KIM Yuna | - | 1% | 7% | 24% | 39% | 25% | 4% |
| 14 | KOSCIK-AQUINO Emily | 10% | 34% | 38% | 16% | 2% | - | |
| 15 | HUANG Rosalyn | 7% | 26% | 37% | 24% | 6% | 1% | |
| 16 | SHUSTA Lily | - | - | 3% | 16% | 39% | 35% | 7% |
| 17 | HUANG Emma | - | 5% | 23% | 41% | 27% | 4% | |
| 18 | LIN Athena | 5% | 22% | 37% | 27% | 8% | 1% | - |
| 19 | GONZALEZ Lauren | 3% | 22% | 42% | 27% | 6% | - | |
| 20 | ZHANG Selina | 1% | 6% | 22% | 38% | 28% | 6% | |
| 21 | ZHOU Jolena | 12% | 34% | 35% | 16% | 3% | - | |
| 22 | CULLIVAN Elise | 2% | 16% | 38% | 31% | 11% | 2% | - |
| 23 | JIMÉNEZ PELAY Claudia | 26% | 43% | 25% | 6% | 1% | - | - |
| 24 | SAMALA Reese | - | 2% | 16% | 39% | 33% | 9% | 1% |
| 25 | YARLAGADDA Smaya | 2% | 14% | 33% | 34% | 15% | 2% | - |
| 26 | BELL Blake | 11% | 33% | 35% | 17% | 4% | - | |
| 27 | UTIN Alexandra | 6% | 25% | 38% | 24% | 6% | - | |
| 28 | KU Amanda | 25% | 43% | 26% | 6% | - | - | |
| 29 | KANASZ Peyton | 10% | 35% | 40% | 15% | 1% | - | |
| 30 | BADER Mia | - | 2% | 14% | 33% | 36% | 14% | 1% |
| 31 | LALONDE Beatrice | 12% | 34% | 35% | 16% | 3% | - | - |
| 32 | CHAN Chloe | 12% | 34% | 35% | 16% | 3% | - | |
| 33 | NEPAL Noukou Asha | 3% | 27% | 46% | 21% | 2% | - | |
| 34 | HEWITT Madison | 11% | 36% | 36% | 15% | 3% | - | - |
| 35 | MILLER Sydney | 46% | 40% | 12% | 2% | - | - | |
| 36 | MA Sophie | 4% | 21% | 41% | 30% | 4% | - | |
| 37 | LIU Doris | 12% | 38% | 37% | 12% | 1% | - | |
| 38 | REDEMANN Reagan | 13% | 35% | 35% | 15% | 3% | - | - |
| 39 | JAGARLAMUDI Himanshu | 37% | 42% | 17% | 3% | - | - | - |
| 40 | MARTIN Avery | 4% | 19% | 35% | 29% | 11% | 1% | - |
| 41 | FAROOQI Eliora | 8% | 28% | 37% | 21% | 5% | - | - |
| 42 | VANDEVEN Ingrid | 4% | 19% | 36% | 30% | 10% | 1% | |
| 43 | DALY Ava | 1% | 18% | 40% | 31% | 9% | - | |
| 43 | DALY Layla | < 1% | 9% | 37% | 40% | 13% | - | |
| 45 | KRYSKO Zlata | 1% | 18% | 41% | 31% | 9% | 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.