Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Sport Prediction) Pick polygram.ink (preferred broker) |
98% | 2% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
98% | 2% | 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 | 98% |
| Game Handicap: T1 (-1.5) vs FURIA Esports (+1.5) | 95% |
| Game 1 Winner | 92% |
| Game 2 Winner | 92% |
| Game 3 Winner | 92% |
| Game Handicap: T1 (-2.5) vs FURIA Esports (+2.5) | 79% |
| Total Kills Over/Under 30.5 in Game 3? | 71% |
| Both Teams Slay a Dragon | 70% |
| Both Teams Slay a Dragon | 70% |
| Total Kills Over/Under 27.5 in Game 1? | 67% |
| Total Kills Over/Under 27.5 in Game 2? | 65% |
| Odd/Even Total Kills | 64% |
| Total Kills Over/Under 27.5 in Game 3? | 62% |
| Game 4 Winner | 59% |
| Odd/Even Total Kills | 56% |
| Both Teams Slay a Dragon | 52% |
| First Blood in Game 1? | 52% |
| Odd/Even Total Kills | 51% |
| Both Teams Slay Baron Nashor | 51% |
| Any Player Quadra Kill | 51% |
| Both Teams Slay Baron Nashor | 51% |
| Any Player Quadra Kill | 51% |
| Any Player Penta Kill | 51% |
| First Blood in Game 2? | 51% |
| Total Kills Over/Under 30.5 in Game 4? | 51% |
| Total Kills Over/Under 30.5 in Game 2? | 51% |
| Both Teams Destroy Inhibitors | 50% |
| Any Player Quadra Kill | 50% |
| Any Player Quadra Kill | 50% |
| Odd/Even Total Kills | 50% |
| Any Player Quadra Kill | 50% |
| Both Teams Slay a Dragon | 50% |
| Both Teams Destroy Inhibitors | 50% |
| Any Player Penta Kill | 50% |
| Both Teams Destroy Inhibitors | 50% |
| First Blood in Game 4? | 50% |
| First Blood in Game 3? | 50% |
| Both Teams Slay Baron Nashor | 49% |
| Any Player Penta Kill | 49% |
| Both Teams Slay Baron Nashor | 49% |
| Any Player Penta Kill | 49% |
| Both Teams Slay a Dragon | 49% |
| Any Player Penta Kill | 48% |
| Odd/Even Total Kills | 48% |
| Both Teams Destroy Inhibitors | 47% |
| Total Kills Over/Under 30.5 in Game 1? | 47% |
| Both Teams Slay Baron Nashor | 46% |
| Both Teams Destroy Inhibitors | 46% |
| Total Kills Over/Under 27.5 in Game 4? | 32% |
| O/U 3.5 Games | 21% |
| O/U 4.5 Games | 5% |
Market context
T1 faces FURIA Esports in the lower bracket round one of the Mid-Season Invitational playoffs, a best-of-five clash set for early morning on 6 July in Daejeon. The market currently prices T1 as the overwhelming winner at 92% probability, reflecting their LCK pedigree, veteran leadership from Faker, and a recent 3-0 play-in victory over Team Liquid. FURIA, the CBLOL champions, enter after a decisive 3-0 upper bracket loss to LYON that exposed macro and teamfighting gaps against higher-seeded opposition.
Historical precedents in MSI lower brackets show disciplined, internationally experienced teams like T1 consistently outperform aggressive regional sides in best-of-five formats, particularly when the opponent has suffered a recent high-stakes defeat. Comparable cases include G2’s struggles against LCK teams in previous MSI lower brackets, where execution gaps under pressure led to swift eliminations. T1’s 60% historical win rate against top European teams further supports the market’s confidence, despite a recent slump showing a 33% win rate over the past month.
Traders should monitor pre-match roster announcements and any schedule shifts, as FURIA’s recent 100% win rate in the last month suggests momentum that could narrow the gap if their macro improves. Key absences or coaching changes could alter dynamics, especially given FURIA’s vulnerability in extended bo5s against top-tier opponents like Top Esports. Recent coverage from Strafe confirms T1 as the user favourite with 89.7% of votes, while Bo3.gg analytics highlight FURIA’s six-match winning streak as a potential catalyst for a closer contest if execution gaps are addressed.
Methodology
Sports-specific comparison page for LoL: T1 vs FURIA Esports (BO5) - Mid-Season Invitational Playoffs. 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.
- 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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