MTSU Campus Recreation - Murfreesboro, TN, 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 | ||
| 1 | LIM EUNSEONG | 100% | 100% | 100% | 100% | 100% | 89% |
| 2 | HUYNH Matthew | 100% | 100% | 95% | 66% | 16% | |
| 3 | QIAN Henry | 100% | 100% | 100% | 96% | 69% | |
| 5 | HUYNH Kaleb | 100% | 100% | 99% | 91% | 62% | 21% |
| 6 | HOFFMAN Zane | 100% | 99% | 88% | 56% | 20% | 3% |
| 7 | HAN Edison | 100% | 92% | 64% | 29% | 7% | 1% |
| 8 | HU Anthony | 100% | 95% | 73% | 34% | 6% | - |
| 9 | PATEL Niam | 100% | 100% | 95% | 78% | 43% | 11% |
| 10 | SCHWARTZ David | 100% | 41% | 7% | < 1% | - | |
| 11 | WEIR Miles | 100% | 77% | 33% | 6% | < 1% | - |
| 12 | NEMI Jai | 100% | 99% | 94% | 75% | 40% | 10% |
| 13 | HOARE Gabriel | 100% | 96% | 74% | 32% | 4% | |
| 14 | ALANAZI Saif | 100% | 99% | 86% | 51% | 15% | 1% |
| 15 | CHOE Austin | 100% | 94% | 70% | 35% | 10% | 1% |
| 16 | MORRISON Archer | 100% | 77% | 28% | 3% | - | |
| 18 | JI SEAN | 100% | 100% | 95% | 74% | 36% | 8% |
| 19 | GARG Raj | 100% | 99% | 79% | 28% | 3% | |
| 20 | JOHNSON Stuart | 100% | 99% | 92% | 66% | 25% | 1% |
| 21 | FORD Lennox | 100% | 49% | 12% | 1% | - | - |
| 22 | BRITTINGHAM Miles | 100% | 73% | 29% | 5% | - | |
| 23 | MILLER-FRANKEL Aiden | 100% | 89% | 59% | 24% | 5% | 1% |
| 24 | FRITH Callen | 100% | 99% | 90% | 53% | 7% | |
| 25 | LEE Jonah MookHern | 100% | 91% | 59% | 22% | 4% | - |
| 26 | LEE Aiden | 100% | 99% | 88% | 59% | 24% | 4% |
| 27 | SEIFI Surena | 100% | 100% | 83% | 30% | 2% | |
| 28 | ONEILL Hayes | 100% | 100% | 82% | 38% | 7% | - |
| 29 | CHARLOT Jacob | 100% | 97% | 78% | 34% | 6% | |
| 30 | STONER Lloyd | 100% | 99% | 87% | 40% | 8% | - |
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.