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Pronóstico: LoL: T1 vs FURIA Esports (BO5) - Mid-Season Invitational Playoffs

"Pronóstico: LoL: T1 vs FURIA Esports (BO5) - Mid-Season Invitational Playoffs" — live football odds plus comparison across the four major prediction venues.

Match Winner 98% Game Handicap: T1 (-1.5) vs FURIA Esports (+1.5) 97% Game 1 Winner 93% Game 2 Winner 93% Volume: $169K Liquidity: $525K Closes: 6 Jul 2026
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Pronóstico: LoL: T1 vs FURIA Esports (BO5) - Mid-Season Invitational Playoffs

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Mundial 2026 Grupos) 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.

OutcomeProbability
Match Winner98%
Game Handicap: T1 (-1.5) vs FURIA Esports (+1.5)97%
Game 1 Winner93%
Game 2 Winner93%
Game 3 Winner93%
Game Handicap: T1 (-2.5) vs FURIA Esports (+2.5)80%
Total Kills Over/Under 27.5 in Game 1?64%
Total Kills Over/Under 27.5 in Game 2?62%
Total Kills Over/Under 27.5 in Game 3?62%
Game 4 Winner59%
Odd/Even Total Kills59%
Odd/Even Total Kills55%
Odd/Even Total Kills54%
Both Teams Slay a Dragon53%
First Blood in Game 1?53%
Total Kills Over/Under 30.5 in Game 3?53%
Odd/Even Total Kills51%
Both Teams Slay Baron Nashor51%
Any Player Quadra Kill51%
Both Teams Slay Baron Nashor51%
Both Teams Destroy Inhibitors51%
Any Player Quadra Kill51%
Any Player Penta Kill51%
Both Teams Slay Baron Nashor50%
Both Teams Destroy Inhibitors50%
Any Player Quadra Kill50%
Both Teams Slay Baron Nashor50%
Both Teams Slay a Dragon50%
Both Teams Destroy Inhibitors50%
Any Player Quadra Kill50%
Both Teams Slay Baron Nashor50%
Both Teams Slay a Dragon50%
Any Player Quadra Kill50%
Both Teams Slay a Dragon50%
Both Teams Destroy Inhibitors50%
Any Player Penta Kill50%
First Blood in Game 2?50%
First Blood in Game 4?50%
First Blood in Game 3?50%
Total Kills Over/Under 30.5 in Game 4?50%
Total Kills Over/Under 30.5 in Game 2?50%
Any Player Penta Kill49%
Any Player Penta Kill49%
Both Teams Destroy Inhibitors49%
Any Player Penta Kill49%
Both Teams Slay a Dragon49%
Odd/Even Total Kills49%
Total Kills Over/Under 30.5 in Game 1?47%
Total Kills Over/Under 27.5 in Game 4?33%
O/U 3.5 Games21%
O/U 4.5 Games4%

Market context

T1 and FURIA Esports face off in the Mid-Season Invitational 2026 Lower Bracket Round 1, a best-of-three series scheduled for 3:00 AM ET on 6 July, with the market heavily favouring T1 at 92% YES. This matchup marks the first time these sides have met in the last six months, eliminating any recent head-to-head bias, yet historical form and current momentum create a stark contrast.

Historical parallels suggest that when a top-tier Korean team like T1 enters a lower-bracket MSI clash with a six-match winning streak and 100% last-month winrate, the crowd-implied probability of 90–97% YES aligns with past outcomes where such teams rarely falter against unranked or lower-ranked opponents. Strafe users predict T1 to win with 90.4% of votes, mirroring Lines.com’s 97% market leader stance, reinforcing that such probabilities are not inflated but grounded in consistent performance metrics like T1’s 75% annual winrate and FURIA’s weaker 40% head-to-head record against Top Esports in bo5s.

Traders should monitor pre-match lineup confirmations, particularly whether T1’s starter Faker and Peyz remain unchanged, as any substitution could disrupt macro execution. FURIA’s recent 3-2 victory over Top Esports signals vulnerability in extended matches, a key catalyst for potential upset if T1’s slump—evidenced by a 33% recent winrate and a 0-3 loss to Bilibili Gaming—persists. A recent Strafe report confirms both teams won four of their last five matches, but T1’s #45 world ranking versus FURIA’s #58 underscores the structural gap traders must weigh before the settlement window closes on 6 July.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Football-specific comparison page for Pronóstico: 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 (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.
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.
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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