TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 15, 9:10 AM EST
Kalshi
This market tracks the outcome of a professional baseball game between two teams, focusing on the margin of victory. It reflects how fans and analysts predict the performance difference between the competing teams in a scheduled match. The resolution depends entirely on the final score of the game.
The markets collectively evaluate different margins of victory for the Doosan Bears vs Kia Tigers game scheduled for August 15, 2026. Each market resolves based on whether the winning team exceeds specific run differentials: Kia Tigers winning by over 2.5 or 1.5 runs, or Doosan Bears winning by over 1.5 or 2.5 runs. All markets apply to the game originally scheduled for the specified date and time, and Kalshi explicitly disclaims any official affiliation with the governing league, with all trademarks remaining property of their respective owners.
Prediction market odds in this market often differ from traditional sportsbook lines due to unique trader dynamics and the way probabilities are aggregated. While sportsbooks set fixed spreads based on analytics and risk management, prediction markets let participants bet directly on outcomes, which can lead to sharper or more volatile pricing. Comparing the two provides a view of where public sentiment leans versus institutional forecasts.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set prices through continuous bidding, with the current top outcome reflecting collective expectations for the spread. The market uses a logarithmic market design to balance liquidity and accuracy, adjusting prices based on order flow and open interest. This mechanism allows rapid price discovery, capturing shifts in sentiment as new game-day insights emerge.
Injuries, weather conditions, and pitcher rotations can shift expectations and move this market. Key moments like early-game leads or late-inning comebacks may also cause rapid price swings. Traders will monitor starting lineups, umpires’ decisions, and any last-minute roster changes that could affect the spread’s likely outcome as the game nears.