TOTAL VOLUME:
$113.7b
24H VOL:
$121,664,029
24H TRANSACTIONS:
1,296,569,804
OPEN INTEREST:
$1,113,226,095
319,435
Markets across
30,869
events
MATCHED EVENTS:
2,928
PLATFORM COVERAGE:
5
Polymarket:
42%
VS.
Kalshi:
58%
This event group covers a single KBO (Korean Baseball Organization) regular season game between KT Wiz and Doosan Bears scheduled for June 16, 2026 at 5:30 AM EDT. Markets across Polymarket and Kalshi are betting on the outcome of this matchup.
This is a market on the KBO baseball game between KT Wiz and Doosan Bears, scheduled for June 16 at 5:30AM ET. This market will resolve to "KT Wiz" if the KT Wiz win the game. This market will resolve to "Doosan Bears" if the Doosan Bears 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 final result of the KT Wiz vs Doosan Bears Korea KBO game originally scheduled for June 16, 2026 at 5:30 AM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled beyond two days, the market resolves to a fair price per established rules. In the event of a tied game, the market resolves 50/50 between outcomes.
On Polymarket, traders set odds through an automated market maker, while Kalshi uses an order-book model, creating structural differences in price discovery. 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. Liquidity concentration, user demographics, and fee structures also drive wedges between venues. One platform may attract more casual traders, while the other draws professionals, shifting the marginal price. Monitoring both venues reveals which trader cohort is more confident and can highlight temporary mispricings before they arbitrage away.
Key catalysts include injury announcements, lineup changes, recent team performance, and head-to-head historical trends. Weather conditions and venue factors can also shift trader sentiment. Major roster moves or coaching decisions in the days before the game often trigger sharp repricing. Social media sentiment, expert commentary, and betting syndicates entering the market can accelerate price swings. Monitoring KBO news feeds and team announcements helps you anticipate moves before they're fully priced in across both platforms.