Compare Best Actress at the Oscars prediction market odds side by side across Polymarket, Kalshi. Platforms show similar odds, with an average spread of just 0.3pp. Close agreement often signals strong market consensus. With $566.2K in combined trading volume across 16 outcomes, this is one of the notable cross-platform prediction markets.
| Outcome | Spread | ||
|---|---|---|---|
![]() Jessie Buckley | 100%— | 99%±0 | 1.0pp spread |
T Tie | - | 1%±0 | - |
J Jennifer Lawrence | - | 1%±0 | - |
S Sydney Sweeney | - | 1%±0 | - |
E Emily Blunt | - | 1%±0 | - |
J June Squibb | - | 1%±0 | - |
C Cynthia Erivo | - | 1%±0 | - |
J Julia Roberts | - | 1%±0 | - |
T Tessa Thompson | - | 1%±0 | - |
L Laura Dern | - | 1%±0 | - |
E Eva Victor | - | 1%±0 | - |
C Cate Blanchett | - | 1%±0 | - |
![]() Rose Byrne | 0%-0.5 | 1%±0 | 0.9pp spread |
![]() Emma Stone | 0%— | 1%±0 | 0.9pp spread |
![]() Kate Hudson | 0%±0 | 1%±0 | 0.9pp spread |
![]() Renate Reinsve | 0%±0 | 1%±0 | 0.9pp spread |