New York Y vs Detroit: Total Runs

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one are driven by traders seeking to profit from accurate forecasts. Prediction market participants frequently include sports analysts and data specialists who may identify value that sportsbooks initially miss. Over time, both venues tend to converge toward accurate probabilities, though prediction markets can sometimes lead sportsbooks in pricing efficiency, particularly when new information emerges.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares representing different outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the collective judgment of all active traders, with shares trading between 0 and 100 cents based on perceived probability. As new information surfaces—such as lineup changes, weather updates, or injury reports—traders adjust their positions, causing prices to shift. This continuous price discovery process ensures the market remains responsive to real-world developments affecting the game.

Several factors can shift this market significantly before the game begins and during play. Roster announcements—such as key player injuries, roster additions, or unexpected lineup changes—often trigger sharp price movements. Weather conditions, particularly wind speed and direction at the stadium, influence home run likelihood and overall scoring. Starting pitcher performance history and recent team offensive trends also drive trader positioning. During the game itself, early scoring, pitching changes, and momentum shifts cause real-time repricing as traders update their expectations for the final run total.