Baird Center - Milwaukee, WI, 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 | BUCA Nora | 2% | 15% | 36% | 36% | 11% | ||
| 2 | FISCHBEIN Quinley | - | 1% | 10% | 34% | 41% | 15% | |
| 3 | PYE Emily | - | 6% | 21% | 34% | 27% | 10% | 2% |
| 3 | JORGENSEN Kjirsten | - | - | 4% | 16% | 34% | 34% | 13% |
| 5 | YUNG Bethany | - | 1% | 7% | 20% | 34% | 28% | 10% |
| 6 | GIELEGHEM Klaire | - | - | 4% | 21% | 44% | 31% | |
| 7 | GARCIA Aly | - | 1% | 6% | 19% | 33% | 30% | 11% |
| 8 | DEPAUW Adeline | 1% | 6% | 23% | 39% | 26% | 5% | |
| 9 | FAENOVA Alexandra | - | 1% | 9% | 25% | 35% | 23% | 6% |
| 10 | MENG Fina | 6% | 23% | 35% | 26% | 9% | 1% | |
| 11 | CHAN Macie | 3% | 15% | 33% | 32% | 15% | 3% | |
| 12 | BURKHARDT Krista L. | - | 3% | 13% | 29% | 32% | 18% | 4% |
| 13 | SKLAR Davida | - | 3% | 15% | 31% | 32% | 16% | 3% |
| 14 | KROTZ Gemma | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 15 | LIN Cynthia | - | 7% | 23% | 35% | 25% | 9% | 1% |
| 16 | QUADRI Saira | 12% | 35% | 36% | 15% | 2% | ||
| 17 | MOHEBI Neeka | - | 3% | 15% | 33% | 34% | 13% | |
| 18 | BURT Emmalyne Grace | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 19 | PHELAN Gabrielle | 3% | 16% | 33% | 32% | 15% | 3% | |
| 20 | LAW Shun Yu | - | - | 2% | 12% | 40% | 46% | |
| 21 | BUDMAN Ava | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
| 21 | FOMINA Polina | - | 4% | 15% | 31% | 32% | 15% | 3% |
| 23 | RITTERBUSCH Abigail | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 24 | CHEN Ava | - | 4% | 27% | 42% | 23% | 4% | |
| 25 | WRIGHT Madison | 1% | 9% | 24% | 33% | 23% | 8% | 1% |
| 26 | HASIM Eurietta | - | - | 2% | 10% | 29% | 39% | 20% |
| 27 | PHUONG Elaine | - | 3% | 15% | 31% | 32% | 15% | 3% |
| 28 | ALVAREZ Martine | 20% | 40% | 30% | 9% | 1% | - | |
| 29 | MEMON Insha | 5% | 20% | 34% | 28% | 11% | 2% | |
| 30 | JONES Brenda L. | - | - | 3% | 13% | 31% | 36% | 17% |
| 31 | BANNERMAN Courtney | - | 3% | 25% | 42% | 25% | 5% | |
| 32 | BENCH Melody | 8% | 30% | 38% | 20% | 4% | - | |
| 33 | BREKSA Lydia | - | 4% | 20% | 43% | 33% | ||
| 34 | JUDICKE Olivia | - | - | 4% | 16% | 34% | 33% | 12% |
| 35 | BENAVIDES Samantha | 2% | 11% | 27% | 32% | 20% | 7% | 1% |
| 36 | WIDMANN Ceili | - | - | 3% | 12% | 29% | 37% | 19% |
| 37 | NASON Amelia | - | 1% | 5% | 18% | 34% | 32% | 11% |
| 38 | BENGTSON Jasmine | - | 3% | 14% | 29% | 32% | 17% | 4% |
| 39 | GUSKA Jenn | 8% | 28% | 35% | 21% | 6% | 1% | - |
| 41 | YOUN Kylie | 1% | 8% | 24% | 33% | 24% | 9% | 1% |
| 42 | HSU Catherine | 19% | 37% | 29% | 12% | 3% | - | - |
| 43 | JORGENSEN Rebekah | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
| 44 | BISONO Valentina | - | 5% | 21% | 36% | 29% | 8% | |
| 45 | BAGAMANOVA Maria | 2% | 11% | 27% | 34% | 21% | 5% | |
| 46 | GAVILANES Madyson | 1% | 6% | 23% | 39% | 27% | 5% | |
| 47 | ROCKWOOD Madelyn | 4% | 21% | 35% | 28% | 10% | 1% | |
| 48 | NGUYEN Celena | 1% | 5% | 20% | 35% | 30% | 10% | |
| 49 | CULVER Hannah | 15% | 38% | 34% | 12% | 1% | ||
| 50 | REYNOLDS Elly | - | 1% | 5% | 18% | 33% | 31% | 11% |
| 51 | BRETHAUER Adah | 3% | 17% | 35% | 31% | 13% | 2% | |
| 52 | ZAKAS Anna L. | - | 5% | 20% | 36% | 29% | 9% | |
| 53 | DUBROVINA Irene | - | 2% | 9% | 24% | 34% | 25% | 7% |
| 54 | HALUSHKO Liliia | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 55 | COWLES Trinity | 2% | 11% | 27% | 33% | 21% | 7% | 1% |
| 56 | GERBOTH Lauren | 4% | 19% | 33% | 29% | 13% | 2% | |
| 56 | JASPER Alyssa | 1% | 7% | 24% | 36% | 25% | 6% | |
| 58 | SCHLIEP Anna J. | 1% | 6% | 22% | 36% | 28% | 8% | |
| 59 | SHIN Jamie | 14% | 35% | 33% | 15% | 3% | - | |
| 60 | BABALOLA Jadesope | - | 2% | 11% | 28% | 35% | 20% | 4% |
| 60 | BURMEISTER Jules | 18% | 37% | 30% | 12% | 3% | - | - |
| 62 | IVANUSHKINA Alisa | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
| 63 | KATZMAN Anara | 6% | 25% | 37% | 25% | 8% | 1% | |
| 64 | MIDYANY Viktoriya | 4% | 18% | 33% | 29% | 13% | 2% | |
| 65 | MOHAMED Faisa | - | 4% | 18% | 35% | 32% | 11% | |
| 65 | JARUSHI Amnee | - | 4% | 15% | 30% | 31% | 17% | 4% |
| 67 | KARLSON Taylor | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 68 | LINARES Chantal | 1% | 10% | 28% | 34% | 20% | 6% | 1% |
| 69 | WILKENS Lorelei | 7% | 27% | 36% | 22% | 7% | 1% | - |
| 70 | RALSTON Katy | - | 5% | 17% | 31% | 30% | 15% | 3% |
| 71 | BATES Madison | 1% | 6% | 21% | 35% | 29% | 9% | |
| 72 | MANIANGLUNG Jean | 3% | 17% | 32% | 29% | 14% | 3% | - |
| 73 | MORET Teagan | 47% | 39% | 12% | 2% | - | - | - |
| 74 | GOCHBERG Madeline | 32% | 42% | 21% | 5% | 1% | - | |
| 75 | DUNNE Jessica | 3% | 17% | 33% | 30% | 14% | 3% | - |
| 76 | CHATLOS Allison | 5% | 26% | 37% | 24% | 7% | 1% | - |
| 77 | GROSSENBACHER-MCGLAMERY Aylisse | 1% | 10% | 25% | 33% | 22% | 8% | 1% |
| 78 | NOOR Hamdi | 7% | 25% | 34% | 24% | 9% | 2% | - |
| 79 | BASU Avneeta | 7% | 25% | 34% | 24% | 9% | 2% | - |
| 80 | D'ANGELO Olivia | 28% | 41% | 23% | 7% | 1% | - | |
| 81 | WARBURTON Eleanor | 66% | 31% | 3% | - | - | - | |
| 82 | KHAZANCHI Raeha | 2% | 11% | 29% | 35% | 20% | 4% | |
| 83 | WHEELER Bridget | 1% | 6% | 20% | 34% | 29% | 10% | |
| 84 | HART Jenna | 14% | 37% | 34% | 13% | 2% | ||
| 85 | WELLS Aenea | 6% | 25% | 36% | 24% | 8% | 1% | - |
| 86 | WU Emma | 23% | 40% | 27% | 9% | 1% | - | - |
| 87 | SHEAHAN Emma | 11% | 30% | 33% | 19% | 6% | 1% | - |
| 88 | SCHLEE Selma | 1% | 6% | 19% | 32% | 29% | 13% | 2% |
| 89 | SINGH Ipshita | - | 4% | 17% | 34% | 31% | 13% | 2% |
| 90 | SCHAU DeHavilland | 8% | 27% | 35% | 22% | 7% | 1% | - |
| 91 | GROCE Linda J. | 3% | 17% | 35% | 30% | 13% | 3% | - |
| 93 | FATIMA Shazia | < 1% | 4% | 16% | 31% | 31% | 15% | 3% |
| 94 | ZHENG Kristen | 14% | 35% | 33% | 15% | 3% | - | |
| 95 | COMBS Hannah | 13% | 36% | 34% | 14% | 2% | - | |
| 96 | REED Juliya | 17% | 37% | 31% | 13% | 3% | - | - |
| 97 | WOLF Reagan | 74% | 23% | 3% | - | - | - | - |
| 98 | INGRIM Adellia | 4% | 19% | 33% | 28% | 13% | 3% | - |
| 99 | WOOD Grace | 20% | 60% | 18% | 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.