TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 4, 8:40 AM EST
Kalshi
A professional baseball game between two teams is scheduled for June 4, 2026. The event tracks whether the combined runs scored by both teams exceeds various thresholds throughout the match.
On Kalshi, the Lotte Giants vs Kia Tigers total runs contract is priced between 0 and 100 cents, where each cent represents a one-percentage-point probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy shares if they believe the actual run total will exceed the threshold, or sell if they expect fewer runs. The price discovery process reflects all available information about both teams' offensive and defensive capabilities, recent performance, and weather or field conditions. As new data emerges, the market reprices continuously until resolution at Jun 4, 2026.
The market resolves at Jun 4, 2026 following the conclusion of the Lotte Giants vs Kia Tigers game. The outcome is determined by the official final run total recorded by the Korea Baseball Organization. Once the game ends and the final score is confirmed, the market settles based on whether the combined runs meet or exceed the specified threshold. Traders holding the correct outcome receive their payout, while incorrect positions expire worthless.
Key catalysts include lineup announcements, starting pitcher confirmations, and injury updates for either team's star hitters or pitchers. Weather forecasts—particularly wind direction and temperature at the stadium—significantly influence run totals. Recent offensive and defensive trends, head-to-head matchup history, and bullpen availability also drive trader positioning. Breaking news about roster changes or player health can trigger sharp price swings. As game time approaches, final betting action and late-arriving information typically increase volatility in the market.