TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 16, 8:49 AM EST
Kalshi
A college baseball game between KT Wiz and LG Twins scheduled for July 16, 2026. Bettors predict whether the combined run total from both teams will exceed various thresholds during the game.
Resolution is determined by the total runs scored by both KT Wiz and LG Twins combined in their college baseball game on July 16, 2026 at 5:30 AM EDT. Each outcome corresponds to a specific run threshold: the combined score must exceed 5.5 runs, 7.5 runs, 9.5 runs, or 11.5 runs respectively. The game result is final once all innings are completed and official scoring is confirmed.
Prediction market odds and sportsbook odds often diverge because they serve different purposes and audiences. Sportsbooks set lines to balance action and manage risk, while prediction markets reflect real-time consensus from traders betting their own capital. This market aggregates the collective forecast of participants who have direct financial incentive to be accurate. Comparing the implied probability here to traditional sportsbook totals can reveal where the crowd sees value or where sharp bettors are positioning themselves ahead of the game.
On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and asks that determine the contract's real-time value. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the marginal trader's willingness to buy or sell at that moment, and as new information emerges—lineup announcements, weather updates, injury reports—the market reprices instantly. Your position's value fluctuates with every trade, and you can exit or adjust your bet at any time before the market closes.
This market resolves around Jul 16, 2026, once the game concludes and the final run total is confirmed. The outcome is verified against credible public sources to ensure accuracy. Until that point, you can trade your position freely, and the market price will adjust based on in-game developments, momentum shifts, and updated forecasts from other participants.
Several catalysts can shift this market significantly before the game begins and during play. Lineup announcements, starting pitcher confirmations, and late-breaking injury reports often trigger sharp repricing. Weather conditions—wind speed and direction, temperature—affect ball carry and scoring potential. In-game momentum, early runs, and pitching changes will drive continuous repricing as traders update their forecasts. Key player performance, defensive plays, and bullpen effectiveness all feed into real-time adjustments, making this a dynamic market that reflects evolving game state and collective expectations.