Women's Flyweight
39 active · mean Elo 1542 · updated Aug 15, 2026
Our ranking ≠ UFC rankings.
UFC's official list is set by a media panel with political considerations. Ours is purely numeric: the Elo rating below is the standard Elo discounted by uncertainty, so a thin-sample star with one big win can't outrank a proven contender. The current champion is marked with C, interim champion with IC. See methodology →
| # | Fighter | Elo |
|---|---|---|
| 1 | Valentina Shevchenko C | 1683 ±35 |
| 2 | Natalia Silva | 1652 ±20 |
| 3 | Erin Blanchfield | 1651 ±24 |
| 4 | Manon Fiorot | 1641 ±24 |
| 5 | Zhang Weili | 1637 ±46 |
| 6 | Maycee Barber | 1586 ±25 |
| 7 | Rose Namajunas | 1579 ±40 |
| 8 | Jasmine Jasudavicius | 1572 ±30 |
| 9 | Alexa Grasso | 1563 ±34 |
| 10 | Wang Cong | 1552 ±33 |
| 11 | Tracy Cortez | 1551 ±33 |
| 12 | Casey O'Neill | 1543 ±34 |
| 13 | Miranda Maverick | 1533 ±33 |
| 14 | Karine Silva | 1526 ±32 |
| 15 | JJ Aldrich | 1517 ±39 |
| 16 | Carli Judice | 1509 ±38 |
| 17 | Viviane Araujo | 1508 ±36 |
| 18 | Dione Barbosa | 1507 ±36 |
| 19 | Lauren Murphy | 1483 ±34 |
| 20 | Jamey-Lyn Horth | 1482 ±37 |
| 21 | Eduarda Moura | 1477 ±39 |
| 22 | Gabriella Fernandes | 1468 ±40 |
| 23 | Melissa Gatto | 1464 ±39 |
| 24 | Vanessa Demopoulos | 1453 ±39 |
| 25 | Veronica Hardy | 1438 ±40 |
| 26 | Juliana Miller | 1432 ±39 |
| 27 | Ariane Da Silva | 1431 ±41 |
| 28 | Tereza Bleda | 1423 ±35 |
| 29 | Andrea Lee | 1422 ±33 |
| 30 | Ernesta Kareckaite | 1420 ±41 |
| 31 | Ivana Petrovic | 1402 ±32 |
| 32 | Victoria Leonardo | 1397 ±31 |
| 33 | Diana Belbita | 1393 ±31 |
| 34 | Brogan Walker | 1387 ±20 |
| 35 | Julija Stoliarenko | 1378 ±35 |
| 36 | Ravena Oliveira | 1361 ±20 |
Provisional Show 3 fighters with too little data for a firm ranking
| Jeisla Chaves | 1508 ±20 | 1-0-0 |
| Anna Melisano | 1490 ±20 | 0-1-0 |
| Yuneisy Duben | 1445 ±20 | 0-2-0 |
The Elo rating shown above already includes the uncertainty discount (Global Elo − σ). The raw Global Elo point estimate is hover-revealed next to each rating. This penalizes thin sample sizes so a 1-fight newcomer can't outrank a proven top-10. See methodology →