Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Champions League Prediction) Pick polygram.ink (preferred broker) |
96% | 4% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
96% | 4% | 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 |
|---|---|
| Orlando City SC | 96% |
| Draw | 4% |
| San Jose Earthquakes | 1% |
Market context
San Jose Earthquakes vs Orlando City SC is a live MLS fixture at PayPal Park, and the market’s 13% yes price implies a heavy lean against the Earthquakes getting the job done in the match setting. The recent head-to-head has not been one-sided enough to justify an extreme number on its own: MLS has produced narrow scorelines between these sides, including a 1-1 draw in San Jose and an Orlando win at PayPal Park, while FootyStats lists seven meetings with Orlando 3-1 ahead and three draws.[2][5][6]
For traders, the main line-moving catalysts are likely to be late team news and any rotation after fixture congestion, rather than historical matchup alone. The clubs’ recent published recaps show both a 5-0 Orlando win and a tighter 1-0 Orlando result, which underlines how sensitive this pairing can be to availability and game state.[4][5][7] On the morning of the fixture, the key checks are the starting XIs, whether San Jose can field first-choice attacking options, and whether Orlando make defensive or midfield changes that alter their away level; the live match page confirms the game time but not the final personnel picture, so late team announcements matter most here.[1][3]
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $486K.
Methodology
Football-specific comparison page for San Jose Earthquakes vs. Orlando City SC. 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.
- Can I bet on individual matches?
- Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
- 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.
- 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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