Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via توقعات كورة) Pick polygram.ink (preferred broker) |
94% | 6% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Open the market → |
Polymarket (direct) polymarket.com |
94% | 6% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Open the market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Open the market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Open the market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Open the market → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| SC Heerenveen | 94% |
| Draw | 9% |
| FC Twente | 0% |
Market context
SC Heerenveen’s home meeting with FC Twente sits in a fixture where the market is already pricing a strong favourite outcome, with the crowd implying a 94% chance of **YES**. That is much higher than the historical balance of the matchup: across recent head-to-head records, Twente have had the edge overall, but the series has also produced a fair number of draws and several high-scoring games, including 3-3 and 1-2 scorelines in the last two Eredivisie meetings cited by match databases.[2][4][5][7][17]
For traders, the main read-through is that this price is far more sensitive to team news and scheduling than to the broad head-to-head trend. Twente arrived after a heavy European qualifier win over Dúnajská Streda on 6 August, which is a useful signal on attacking rhythm but also a reminder of possible rotation and workload management only three days before this league match.[6] Heerenveen’s recent home form in listed results has included wins over Volendam and other pre-season/competitive fixtures, while Twente’s recent run shows they can score heavily but also concede in transition, so confirmed line-ups, late injury notes, and any absent forward or centre-back will matter more than the baseline probability suggests.[19]
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $107K.
Methodology
Football-specific comparison page for توقع: SC Heerenveen vs. FC Twente. 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 (US-focused) or Manifold (play-money).
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
- When do sports markets resolve?
- Typically within hours of the official final whistle. Polymarket uses UMA Optimistic Oracle with source URLs pointing at official league data feeds — e.g. the Premier League for EPL markets, UEFA for Champions League, FIFA for World Cup.
- Which sports markets are available?
- Football (soccer) dominates — Champions League, World Cup, Premier League, La Liga, Bundesliga — followed by NFL, NBA, tennis Grand Slams, Formula 1, boxing/MMA. Resolution via official league source confirmation.
- 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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