Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Sport Prediction) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl | 100% |
| Completed Match | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 2 Winner | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Total Sets: O/U 2.5 | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Match O/U 21.5 | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 1 O/U 8.5 | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 2 O/U 8.5 | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Match O/U 22.5 | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 2 O/U 9.5 | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Match O/U 23.5 | 100% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 1 Winner | 0% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set Handicap +/-1.5 | 0% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set Handicap +/-1.5 | 0% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 1 O/U 9.5 | 0% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 1 O/U 10.5 | 0% |
| Canadian Open: Daniel Merida Aguilar vs Liam Draxl Set 2 O/U 10.5 | 0% |
Market context
Traders on decentralised prediction markets give 100% probability to canadian open: daniel merida aguilar vs liam draxl. This market refers to the tennis match between Daniel Merida Aguilar and Liam Draxl in the Canadian Open, originally scheduled for August 3, 2026 at 10:00AM ET. This market will resolve to 'Daniel Me…
Methodology
Sports-specific comparison page for Canadian Open: Daniel Merida Aguilar vs Liam Draxl. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi or Manifold.
Resolution & payout
Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.
FAQ
- Are prediction markets better than sports betting?
- Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
- What are live sports odds on Polymarket?
- Some top-tier matches stay open during play — you can trade the half-time probability in the 70th minute. Polymarket mid-prices update second-by-second; any frontend mirroring the order book shows the same movement.
- How fast do sports winnings settle?
- Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
- What's the difference between match odds and outright odds?
- Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
- Can I import form data and lineups?
- This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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