Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Champions League Prediction) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | See live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | See live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | See live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | See live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| CSD Colo-Colo | 100% |
| Everton de Viña del Mar | 0% |
| Draw | 0% |
Market context
Everton de Viña del Mar meet CSD Colo-Colo in Chile’s Primera Division with the market currently pricing **YES at 0%**, which is consistent with a heavy favourite profile rather than a balanced fixture. The historical head-to-head leans sharply towards Colo-Colo: FootyStats shows 17 wins for Colo-Colo in 24 meetings, with Everton taking only two and five drawn[1]. Comparable H2H datasets tell the same story, with Colo-Colo also leading over the longer sample and producing more goals overall, which is the main reason a low-probability underdog angle has little precedent in this pairing[3][17].
Recent form data also points towards Colo-Colo retaining the stronger baseline. Tribuna’s match page says Colo-Colo have won their last four head-to-heads and have avoided defeat in their last five matches, while scoring two goals per game across that spell[10]. For traders, the main catalysts are the final line-ups and any late absences, because a market at zero can move sharply if Colo-Colo rest key attackers or if Everton name a stronger-than-expected XI. The live match pages on SofaScore and Flashscore are the relevant places to watch for confirmed teams and last-minute changes close to kick-off[2][12].
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $105K.
Methodology
Football-specific comparison page for Everton de Viña del Mar vs. CSD Colo-Colo. 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
- 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.
- 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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