TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 13, 6:50 AM EST
Kalshi
This event group covers two distinct prediction markets on the same KBO baseball game between Lotte Giants and LG Twins scheduled for June 13, 2026 at 4:00 AM EDT. Kalshi offers four over/under markets on combined team runs (5.5, 7.5, 9.5, 11.5), while Polymarket offers a head-to-head winner market (Lotte Giants vs. LG Twins) with tie/cancellation provisions.
This is a market on the KBO baseball game between Lotte Giants and LG Twins, scheduled for June 13 at 4:00AM ET. This market will resolve to "Lotte Giants" if the Lotte Giants win the game. This market will resolve to "LG Twins" if the LG Twins win the game. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50. The primary resolution source will be official information from the KBO. A consensus of credible reporting may also be used.
Resolution is determined by the total runs scored by both Lotte Giants and LG Twins combined during the game. Each outcome corresponds to a specific run threshold: the market resolves Yes if the combined total exceeds the specified threshold (5.5, 7.5, 9.5, or 11.5 runs respectively). Only runs that count toward the official final score are included in the calculation.
Prediction markets like Polymarket and Kalshi operate independently from traditional sportsbooks, often reflecting different liquidity pools and trader demographics. Prediction market odds tend to incorporate real-time crowd sentiment and can move faster than sportsbook lines during breaking news or lineup changes. Sportsbooks adjust odds to manage liability and balance action, whereas prediction markets settle based on actual outcomes. For KBO: Lotte Giants vs. LG Twins, comparing prediction market consensus to major sportsbook lines can reveal value opportunities and highlight where professional and retail traders disagree on win probability.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts distinct trader bases, regulatory environments, and fee structures that influence pricing. Polymarket and Kalshi may weight recent KBO statistics, injury reports, or weather differently, or one platform may have deeper liquidity in this specific matchup. Market microstructure—such as order book depth and maker-taker incentives—also drives short-term price gaps. Additionally, different user bases may hold stronger convictions about Giants versus Twins performance, creating temporary arbitrage opportunities. These divergences typically narrow as resolution approaches and information becomes more certain.
Key catalysts include roster updates, injury announcements for star players on either team, starting pitcher confirmations, and recent head-to-head performance trends. Weather conditions at game time—particularly wind direction and temperature affecting ball carry—can shift run-total expectations. Late-breaking lineup changes, trades, or managerial decisions often trigger sharp movement on Polymarket and Kalshi. Media reports on team momentum, winning streaks, or bullpen fatigue also influence trader positioning. Monitor KBO news feeds and team social media in the 24 hours before game time for final adjustments to market odds.