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LoL: T1 vs Team Liquid (BO5) - Mid-Season Invitational Play-In

Sports snapshot for "LoL: T1 vs Team Liquid (BO5) - Mid-Season Invitational Play-In" with league data and platform comparison on a single page.

Match Winner 94% Game Handicap: T1 (-1.5) vs Team Liquid (+1.5) 85% Game 1 Winner 82% Game 2 Winner 82% Volume: $234K Liquidity: $350K Closes: 1 Jul 2026
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LoL: T1 vs Team Liquid (BO5) - Mid-Season Invitational Play-In

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
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.

OutcomeProbability
Match Winner94%
Game Handicap: T1 (-1.5) vs Team Liquid (+1.5)85%
Game 1 Winner82%
Game 2 Winner82%
Game 3 Winner82%
Total Kills Over/Under 30.5 in Game 4?76%
Both Teams Slay a Dragon70%
Both Teams Slay a Dragon69%
Both Teams Slay a Dragon69%
Game 4 Winner65%
First Blood in Game 1?63%
Game Handicap: T1 (-2.5) vs Team Liquid (+2.5)56%
Any Player Quadra Kill52%
Any Player Quadra Kill52%
Any Player Penta Kill52%
Total Kills Over/Under 30.5 in Game 2?52%
Both Teams Slay Baron Nashor51%
Both Teams Slay Baron Nashor51%
First Blood in Game 4?51%
Total Kills Over/Under 30.5 in Game 1?51%
Odd/Even Total Kills50%
Odd/Even Total Kills50%
Odd/Even Total Kills50%
Both Teams Destroy Inhibitors50%
Any Player Penta Kill50%
Both Teams Destroy Inhibitors50%
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 Kills48%
Both Teams Slay a Dragon45%
Both Teams Slay a Dragon45%
O/U 3.5 Games43%
Total Kills Over/Under 33.5 in Game 1?42%
Odd/Even Total Kills41%
Total Kills Over/Under 33.5 in Game 3?40%
Total Kills Over/Under 33.5 in Game 2?39%
Any Player Quadra Kill28%
Any Player Quadra Kill28%
Any Player Quadra Kill28%
Both Teams Slay Baron Nashor27%
Both Teams Destroy Inhibitors27%
Both Teams Slay Baron Nashor27%
Both Teams Destroy Inhibitors27%
Any Player Penta Kill27%
Both Teams Slay Baron Nashor27%
Both Teams Destroy Inhibitors27%
Any Player Penta Kill27%
O/U 4.5 Games13%
Any Player Penta Kill8%

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].

Sources: 1 · 2 · 3 · 4 · 5

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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