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Getafe CF vs. RC Celta de Vigo - More Markets

Sports snapshot for "Getafe CF vs. RC Celta de Vigo - More Markets" with league data and platform comparison on a single page.

O/U 0.5 84% 2nd Half O/U 0.5 65% Getafe CF O/U 0.5 63% RC Celta de Vigo O/U 0.5 60% Volume: $93K Liquidity: $2.0M Closes: 7 Sept 2026
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Getafe CF vs. RC Celta de Vigo - More Markets

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via March Madness Predictions) Pick
polygram.ink (preferred broker)
84% 16% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle See live odds →
Polymarket (direct)
polymarket.com
84% 16% 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.

OutcomeProbability
O/U 0.584%
2nd Half O/U 0.565%
Getafe CF O/U 0.563%
RC Celta de Vigo O/U 0.560%
1st Half O/U 0.556%
O/U 1.555%
RC Celta de Vigo 2nd Half (-1.5)50%
RC Celta de Vigo 2nd Half (-2.5)50%
Getafe CF 2nd Half O/U 0.542%
Getafe CF 2nd Half (-2.5)41%
RC Celta de Vigo 2nd Half O/U 0.540%
Both Teams to Score38%
Getafe CF 1st Half O/U 0.535%
RC Celta de Vigo 1st Half O/U 0.530%
O/U 2.528%
2nd Half O/U 1.527%
Getafe CF O/U 1.524%
RC Celta de Vigo O/U 1.522%
1st Half O/U 1.520%
Getafe CF 2nd Half (-1.5)20%
Both Teams to Score in Second Half19%
Getafe CF 1st Half O/U 1.514%
Getafe CF 2nd Half O/U 1.514%
RC Celta de Vigo 2nd Half O/U 1.514%
RC Celta de Vigo 1st Half O/U 1.513%
Getafe CF (-1.5)12%
O/U 3.512%
Both Teams to Score in First Half12%
2nd Half O/U 2.511%
RC Celta de Vigo (-1.5)10%
Getafe CF O/U 2.56%
RC Celta de Vigo O/U 2.56%
1st Half O/U 2.55%
RC Celta de Vigo 1st Half (-1.5)5%
Getafe CF 1st Half (-1.5)5%
O/U 4.54%
Getafe CF 1st Half (-2.5)4%
RC Celta de Vigo 1st Half (-2.5)4%
Getafe CF (-2.5)3%
RC Celta de Vigo (-2.5)2%
O/U 5.51%

Market context

Traders on decentralised prediction markets give 84% probability to getafe cf vs. rc celta de vigo - more markets. More markets for the La Liga game, scheduled for September 7 at 1:00 PM ET.

Methodology

Sports-specific comparison page for Getafe CF vs. RC Celta de Vigo - More Markets. 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

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.
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.
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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