Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via March Madness Predictions) 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 |
|---|---|
| MŠK Žilina | 100% |
| Draw | 0% |
| GKS GieKSa Katowice | 0% |
Market context
MŠK Žilina and GKS Katowice met in the first leg of their UEFA Conference League second-round tie on 23 July at Stadion pod Dubňom in Žilina, with kick-off listed at 20:30 local time. The market’s 100% YES pricing is more extreme than the pre-match numbers, which were broadly split between the two sides rather than pointing to a dominant favourite.[1][5]
That matters because comparable previews for the game were mixed: one Polish outlet said bookmakers could not identify a clear favourite and had Katowice only slightly ahead, while other prediction sites leaned towards a tight away win, a draw, or goals at both ends.[4][3][8] In other words, the crowd-implied certainty is reading far more decisively than the underlying pre-match expectation, which was closer to a near-even contest than a foregone conclusion.[4][3][8]
For traders, the key catalysts are the team sheets, any late injury or suspension news, and whether either side rotates ahead of the return leg or domestic fixtures. GKS Katowice’s own preview framed the match as a scheduled qualifier and confirmed live broadcast details, but it did not signal any major personnel issues, so any late absence updates would be the most immediate price mover before settlement.[1]
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $72K.
Methodology
Sports-specific comparison page for MŠK Žilina vs. GKS GieKSa Katowice. 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
- 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.
- 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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