Kenosha, WI - Kenosha, WI, 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 | TALAVERA Daena | 100% | 100% | 100% | 94% | 69% | 25% | |
| 2 | MASSICK Laine | 100% | 100% | 100% | 100% | 98% | 86% | 46% |
| 3 | NEWHARD Zelia K. | 100% | 100% | 96% | 78% | 44% | 13% | 2% |
| 3 | ZHAO Sophie L. | 100% | 99% | 87% | 58% | 25% | 6% | 1% |
| 5 | SENIC Adeline | 100% | 100% | 94% | 60% | 16% | ||
| 6 | HALL Velma | 100% | 100% | 99% | 90% | 61% | 20% | |
| 7 | DEBACK Greta I. | 100% | 100% | 99% | 90% | 61% | 24% | 3% |
| 8 | SADAN Jordan E. | 100% | 100% | 96% | 67% | 21% | ||
| 9 | GALAVOTTI Claire Teresa | 100% | 100% | 100% | 97% | 82% | 50% | 14% |
| 10 | DE LA CRUZ Eden | 100% | 98% | 82% | 46% | 13% | 1% | |
| 11 | FERNANDES Thea | 100% | 100% | 98% | 85% | 52% | 17% | 2% |
| 12 | KOSTELNY Alexis | 100% | 100% | 99% | 89% | 59% | 22% | 3% |
| 13 | SOOD Ishani S. | 100% | 100% | 97% | 72% | 26% | ||
| 14 | TALWALKAR Apoorva | 100% | 99% | 90% | 58% | 19% | 2% | |
| 15 | NAMGALAURI Mariam | 100% | 100% | 94% | 72% | 35% | 8% | 1% |
| 16 | WILSON Anna S. | 100% | 86% | 38% | 8% | 1% | - | |
| 17 | YANG Lingting | 100% | 100% | 100% | 97% | 82% | 48% | 13% |
| 18 | HIRSCH Sophie A. | 100% | 98% | 80% | 43% | 13% | 2% | - |
| 19 | SANTOS Annika Beatrice I. | 100% | 98% | 82% | 48% | 17% | 3% | - |
| 20 | HAYES Alyssa R. | 100% | 65% | 15% | 1% | - | ||
| 21 | RODRIGUEZ Celeste | 100% | 69% | 27% | 6% | 1% | - | |
| 22 | LEE Fiona E. | 100% | 92% | 57% | 20% | 4% | - | - |
| 23 | PFLAUM Philippa J. | 100% | 43% | 9% | 1% | - | - | - |
| 24 | BAWA Sahana | 100% | 59% | 11% | 1% | - | ||
| 25 | MCNALLY Teagan | 100% | 49% | 11% | 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.