Harvard Westlake High School - Studio City, CA, 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 | DINSAY Kristjan | - | - | - | 8% | 46% | 46% | |
| 2 | FLANAGAN Miles | - | - | 2% | 18% | 58% | 22% | |
| 3 | KUNTSEVICH Ivan I. | - | - | 1% | 5% | 22% | 42% | 30% |
| 3 | LOZANO Veyron Jericho | - | - | - | - | 11% | 52% | 37% |
| 5 | MCCARVILL Cooper | - | - | 2% | 13% | 42% | 42% | |
| 6 | LEE Christopher | 1% | 6% | 23% | 38% | 27% | 5% | - |
| 7 | KARPMAN Benny | - | 5% | 20% | 37% | 30% | 8% | |
| 8 | YOUNG Luke | 2% | 17% | 41% | 31% | 9% | 1% | |
| 9 | CHEONG Cameron | - | - | - | - | 3% | 24% | 73% |
| 10 | POUND Michael | - | 1% | 9% | 28% | 40% | 21% | |
| 11 | PETRAITIS Matteus | - | 1% | 6% | 25% | 43% | 26% | |
| 12 | BLUNCK Kristof | - | - | 2% | 17% | 52% | 29% | |
| 13 | PONTOPPIDAN Erik | - | 1% | 6% | 24% | 43% | 27% | |
| 13 | DACKO Nolan | - | 5% | 24% | 46% | 23% | 2% | |
| 15 | LEE Mason | - | 2% | 13% | 34% | 37% | 13% | |
| 16 | TONEF Christian | 3% | 14% | 31% | 32% | 16% | 3% | - |
| 17 | TRUJILLO Jonah | - | 3% | 20% | 50% | 24% | 3% | |
| 18 | LEE Lucas | 1% | 10% | 30% | 38% | 19% | 2% | - |
| 19 | LEE Colin | 14% | 43% | 33% | 9% | 1% | - | |
| 20 | KNIGHT Rollan | - | 3% | 15% | 36% | 35% | 10% | |
| 21 | BRADY Benjamin | - | 6% | 26% | 40% | 23% | 4% | |
| 22 | JEREZ PINE Luca | 46% | 42% | 11% | 1% | < 1% | - | |
| 23 | MARQUEZ Jacob | - | - | 3% | 15% | 36% | 36% | 10% |
| 24 | BIHLMEIER Gavin | 1% | 13% | 34% | 33% | 15% | 3% | - |
| 25 | TRAN Matthew | 12% | 44% | 34% | 9% | 1% | - | |
| 26 | SHADRAVAN Arash | 9% | 30% | 37% | 20% | 5% | - | |
| 27 | ZIEGLER Everisto | 6% | 27% | 39% | 22% | 5% | - | |
| 28 | GRACZYK James | 1% | 6% | 22% | 37% | 28% | 8% | |
| 29 | DOUST Emilio | - | - | 1% | 12% | 45% | 42% | |
| 30 | CHARETTE Alex | 1% | 6% | 20% | 35% | 28% | 10% | 1% |
| 31 | WOO Lucas | - | - | 3% | 19% | 43% | 35% | |
| 32 | ZHANG Justin | 4% | 21% | 38% | 27% | 9% | 1% | |
| 33 | BLAU Everett | - | 4% | 21% | 42% | 27% | 6% | 1% |
| 34 | MURPHY Sean | 5% | 23% | 39% | 26% | 7% | 1% | |
| 35 | RIVERA Fernando | - | 1% | 10% | 31% | 41% | 16% | 2% |
| 36 | STETSON Bruce | 2% | 13% | 34% | 35% | 14% | 2% | - |
| 37 | RAWLINSON Cameron | 10% | 31% | 35% | 19% | 5% | 1% | - |
| 38 | JADIA Arnav | 17% | 44% | 33% | 6% | - | - | |
| 39 | NETI Narayan | - | 4% | 24% | 44% | 26% | 2% | |
| 40 | DAI Ethan | 7% | 30% | 39% | 20% | 4% | - | |
| 41 | GONZALEZ Elias | 5% | 38% | 40% | 15% | 2% | - | |
| 42 | HEUER Benjamin | - | 3% | 13% | 32% | 35% | 14% | 2% |
| 43 | ESSER James | 7% | 25% | 35% | 24% | 8% | 1% | - |
| 44 | TORRES A Leonardo | 24% | 46% | 26% | 4% | - | - | |
| 45 | STASHWICK Tilly | 42% | 42% | 14% | 2% | - | - | |
| 46 | MILNE Lennox | 14% | 35% | 33% | 14% | 3% | - | |
| 47 | MATHEWS Tom | - | 3% | 36% | 42% | 16% | 2% | |
| 48 | TAYLOR Owen | 2% | 12% | 30% | 34% | 18% | 4% | |
| 49 | SHIH Aidan | 20% | 42% | 29% | 9% | 1% | - | |
| 50 | ARIAS CALIX Franklin | 28% | 42% | 24% | 6% | 1% | - | |
| 51 | SOBERMAN Milosh | - | 6% | 25% | 39% | 25% | 5% | |
| 52 | YOON Knox | - | 1% | 9% | 25% | 35% | 24% | 6% |
| 53 | FERGUSON Jesse | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 54 | CHEN Alexander | 53% | 37% | 9% | 1% | - | - | - |
| 55 | FLAHERTY Maxton | 1% | 10% | 34% | 39% | 15% | 1% | |
| 56 | HERNANDEZ Ramon | 24% | 42% | 26% | 7% | 1% | - | - |
| 57 | HOU Nathaniel | 20% | 40% | 29% | 10% | 1% | - | |
| 57 | EPSTEIN Nicholas | 2% | 13% | 36% | 37% | 11% | 1% | |
| 59 | GREENBURG Jackson | 20% | 45% | 29% | 5% | - | - | |
| 59 | FLORES Simon | < 1% | 6% | 28% | 44% | 20% | 1% | |
| 61 | BAHNG-BOYER Dara | 1% | 12% | 33% | 36% | 16% | 2% | - |
| 62 | KATAN Miro | 77% | 21% | 2% | - | - | - | |
| 63 | GOLDBERG Eli | 1% | 32% | 42% | 20% | 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.