Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Sport Prediction) Pick polygram.ink (preferred broker) |
94% | 6% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
94% | 6% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Match Winner | 94% |
| Game Handicap: T1 (-1.5) vs Team Liquid (+1.5) | 85% |
| Game 1 Winner | 82% |
| Game 2 Winner | 82% |
| Game 3 Winner | 82% |
| Total Kills Over/Under 30.5 in Game 4? | 76% |
| Both Teams Slay a Dragon | 70% |
| Both Teams Slay a Dragon | 69% |
| Both Teams Slay a Dragon | 69% |
| Game 4 Winner | 65% |
| First Blood in Game 1? | 63% |
| Game Handicap: T1 (-2.5) vs Team Liquid (+2.5) | 56% |
| Any Player Quadra Kill | 52% |
| Any Player Quadra Kill | 52% |
| Any Player Penta Kill | 52% |
| Total Kills Over/Under 30.5 in Game 2? | 52% |
| Both Teams Slay Baron Nashor | 51% |
| Both Teams Slay Baron Nashor | 51% |
| First Blood in Game 4? | 51% |
| Total Kills Over/Under 30.5 in Game 1? | 51% |
| Odd/Even Total Kills | 50% |
| Odd/Even Total Kills | 50% |
| Odd/Even Total Kills | 50% |
| Both Teams Destroy Inhibitors | 50% |
| Any Player Penta Kill | 50% |
| Both Teams Destroy Inhibitors | 50% |
| First Blood in Game 2? | 50% |
| Total Kills Over/Under 33.5 in Game 4? | 50% |
| First Blood in Game 3? | 50% |
| Total Kills Over/Under 30.5 in Game 3? | 50% |
| Odd/Even Total Kills | 48% |
| Both Teams Slay a Dragon | 45% |
| Both Teams Slay a Dragon | 45% |
| O/U 3.5 Games | 43% |
| Total Kills Over/Under 33.5 in Game 1? | 42% |
| Odd/Even Total Kills | 41% |
| Total Kills Over/Under 33.5 in Game 3? | 40% |
| Total Kills Over/Under 33.5 in Game 2? | 39% |
| Any Player Quadra Kill | 28% |
| Any Player Quadra Kill | 28% |
| Any Player Quadra Kill | 28% |
| Both Teams Slay Baron Nashor | 27% |
| Both Teams Destroy Inhibitors | 27% |
| Both Teams Slay Baron Nashor | 27% |
| Both Teams Destroy Inhibitors | 27% |
| Any Player Penta Kill | 27% |
| Both Teams Slay Baron Nashor | 27% |
| Both Teams Destroy Inhibitors | 27% |
| Any Player Penta Kill | 27% |
| O/U 4.5 Games | 13% |
| Any Player Penta Kill | 8% |
Market context
The underlying real-world event is the best-of-five Upper Bracket semifinal between T1 and Team Liquid at the 2026 Mid-Season Invitational Play-In, initially set for 4:00 AM ET on 1 July in Daejeon. T1 has already demonstrated overwhelming dominance in this tournament, having swept Team Liquid 3-0 in the Play-In Winners’ Bracket opener just two days prior, a result that cemented Faker’s historic milestone and highlighted the stark gap between LCK and LCS squads at international level[1][3].
Historically, such a 3-0 lead in a Play-In stage against the same opponent has framed subsequent BO5 matchups as near-certain victories for the Korean side, with LCS teams rarely recovering from early meta misalignment or execution deficits in longer series[2]. In comparable MSI Play-In cases over the past five years, teams that won the initial 3-0 encounter against the same opponent advanced the BO5 with 85–92% frequency, making the current 82% crowd-implied probability for T1 consistent with, though slightly conservative relative to, historical precedents[2][4].
Traders should monitor official patch notes for Patch 26.13, any late roster announcements from Team Liquid, and the confirmed start time, as delays beyond seven days would trigger a 50-50 resolution[2][6]. No major injury or roster changes have emerged in the past week, but the meta adaptation challenge for LCS squads in the Korean venue remains the primary catalyst for potential variance[2]. Strafe users previously predicted T1 with 92.8% confidence in the earlier 3-0 series, reinforcing the structural advantage T1 holds in this matchup[4].
Methodology
Sports-specific comparison page for LoL: T1 vs Team Liquid (BO5) - Mid-Season Invitational Play-In. 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
- 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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