What is the result of Phoenix vs Dallas?

Typically, prediction market odds reflect a different set of information and incentives than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while this market allows traders to directly assess the probability of overtime occurring. While sportsbooks may initially set lines based on team statistics and expert analysis, this market’s pricing evolves as more information becomes available and traders react to news and events. It's common to see differences emerge as the event approaches, potentially offering value to informed traders.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of overtime. The price of a contract ranges from 0 to 100, representing a percentage chance. As more traders believe overtime is likely, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their assessment of the probability is correct. This dynamic process leads to a market-determined probability reflecting the collective wisdom of the crowd.

This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the Phoenix vs Dallas game officially goes into overtime according to official game statistics. The result will be determined by official sources and reported by sports news outlets. Traders holding a 'yes' contract will receive a payout if overtime occurs, while those holding a 'no' contract will receive a payout if the game ends in regulation.

Several factors could influence the price of this market. Any news regarding key player injuries for either the Phoenix or Dallas teams would likely have a significant impact. Changes in betting lines at sportsbooks, even if different from this market, can sometimes influence trader behavior. Unexpected weather conditions or referee announcements could also play a role. Finally, late-breaking news about team strategies or internal conflicts could shift perceptions of the game’s likely outcome and, therefore, the probability of overtime.