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 14, 7:04 AM EST
Kalshi
A professional baseball game between two teams scheduled for June 14, 2026 will determine the combined scoring output of both teams across multiple scoring thresholds.
This event measures the combined total runs scored by Doosan Bears and Kia Tigers in their college baseball game scheduled for June 14, 2026 at 4:00 AM EDT. Four tiered thresholds are established: markets resolve to Yes if the combined total exceeds 5.5 runs, 7.5 runs, 9.5 runs, or 11.5 runs respectively. Each threshold represents a distinct market outcome based on the final official game score.
On Kalshi, the Doosan Bears 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 contracts if they believe the actual run total will fall within a specified range, and sell if they expect it to fall outside. The price reflects the collective forecast of all active traders on the platform. As new information—such as lineup changes, weather updates, or recent team performance—becomes available, the price adjusts to equilibrate supply and demand, converging toward the true probability as the game approaches.
The market resolves on Jun 14, 2026, after the conclusion of the Doosan Bears vs Kia Tigers game. The outcome is determined by the official final run total recorded by the league. Traders holding contracts aligned with the actual result receive their payout, while those on the wrong side of the outcome lose their stake. Resolution is automatic once the official score is confirmed, ensuring all positions settle fairly and transparently based on the real-world result.
Key catalysts include lineup announcements, starting pitcher or designated hitter changes, recent offensive and defensive performance trends, weather conditions at game time, and injury updates to star players. Momentum shifts in either team's season, bullpen availability, and head-to-head historical scoring patterns also influence trader expectations. Breaking news about roster moves or managerial strategy can trigger sharp repricing. As game time approaches, market prices typically tighten around the consensus forecast, but unexpected developments—such as late-inning comebacks in related games or viral team performance clips—can still move the odds significantly.