TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 2, 9:01 AM EST
Kalshi
This market assesses the total number of runs scored by both the Hanwha Eagles and KT Wiz in their scheduled college baseball game. Participants predict whether the combined runs will exceed specific thresholds. The outcome depends purely on the game's final score.
The event evaluates multiple thresholds for the total runs scored by both teams in a single college baseball game between the Hanwha Eagles and KT Wiz, scheduled for September 2, 2026, at 5:30 AM EDT. Each market corresponds to a different run total threshold—specifically, whether the combined score exceeds 5.5, 7.5, 9.5, or 11.5 runs. All markets resolve based on the same game’s final score, with each threshold representing an independent condition. If the actual total runs meet or exceed any given threshold, the corresponding market resolves to 'Yes'; otherwise, it resolves to 'No'. The markets are unaffiliated with any official governing league, and all trademarks remain property of their respective owners.
Prediction market odds in this market often differ from traditional sportsbook lines due to unique trader dynamics and the inclusion of probabilistic pricing. While sportsbooks may set a fixed over/under line based on historical data and analyst forecasts, prediction markets let participants adjust positions continuously, reflecting real-time shifts in expectations. This can create tighter spreads or more volatile pricing, especially as new pitching changes, weather updates, or player injuries emerge. Comparing the two offers a view into how crowd-sourced insights stack up against institutional lines.
This market resolves around Sep 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final over-or-under determination will hinge on the officially recorded runs from the game, ensuring an objective and transparent resolution process aligned with publicly available data sources.
Injuries to key pitchers, weather delays affecting game length, lineup changes, or standout individual performances could all shift expectations for the final run count and move this market. Additionally, any significant betting trends or large trades on Kalshi may influence prices, especially as the game draws closer. Updates from team announcements or umpires about playing conditions can also cause rapid adjustments in trader positioning leading up to resolution.