Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Oscar Predictions 2026) Pick polygram.ink (preferred broker) |
65% | 35% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
65% | 35% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Trade this market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Trade this market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Trade this market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Trade this market → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set Handicap +/-1.5 | 65% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 2 O/U 9.5 | 50% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 2 O/U 10.5 | 50% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 2 O/U 8.5 | 50% |
| Completed Match | 50% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 1 O/U 8.5 | 50% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 1 O/U 9.5 | 50% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 1 O/U 10.5 | 50% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Match O/U 21.5 | 40% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Match O/U 22.5 | 36% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Match O/U 23.5 | 35% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 2 Winner | 34% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Total Sets: O/U 2.5 | 33% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska | 16% |
| Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska Set 1 Winner | 5% |
Market context
Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska — current market-implied probability: 65%. This market refers to the tennis match between Mananchaya Sawangkaew and Maja Chwalinska in the Wimbledon WTA, originally scheduled for June 29, 2026 at 6:00AM ET. This market will resolve to 'Mananc…
Methodology
Entertainment-specific comparison page for Wimbledon WTA: Mananchaya Sawangkaew vs Maja Chwalinska. Polymarket's live quote (Polygon order book) shows the award probability. For awards markets, Polymarket usually has the deepest liquidity; Betfair runs comparable markets for Oscars/Emmys; Manifold for Eurovision.
Resolution & payout
Entertainment markets settle on official award ceremony or show end. Polymarket uses UMA Optimistic Oracle with a source URL to the official award website. Two-hour dispute window, then smart-contract payout in USDC.
FAQ
- When do award markets resolve?
- After the official announcement — e.g. Oscars ceremony end for Academy Awards markets, Eurovision final end for ESC markets. UMA Optimistic Oracle typically uses the official award website as the resolution source.
- What was the top Oscar 2025 market?
- Best Picture, with ~$2.8M volume on Polymarket. "Anora" started as an underdog at ~8% and closed at ~62% before the ceremony — the biggest single Oscar market swing since 2019.
- Who can trade Eurovision markets?
- Polymarket is globally accessible but geo-blocked in select jurisdictions — traders there use broker frontends with a different geo footprint to reach the order book. Eurovision markets have strong European liquidity; German/Austrian/Swiss flow often drives consensus.
- Are there politics-entertainment crossover markets?
- Yes — e.g. "Will X be parodied on SNL?", "Who will host the next Oscars?". These have thinner liquidity but offer alpha for traders who read pop-culture and political worlds together.
- Is entertainment trading worth the effort?
- Niche, but lucrative for experts. Award markets have fewer informed traders than political markets; combining industry expertise (film, music) with active research often surfaces mispricings. Volume cap: large bets move the market.
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