What is the result of Detroit vs Arizona?

Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, potentially differing from those set by sportsbooks. Sportsbooks typically set initial lines to balance betting action and incorporate a profit margin, while this market allows traders to directly express their beliefs about the probability of overtime. If there’s a significant discrepancy, arbitrage opportunities may arise, where traders can profit by betting on both the prediction market and a sportsbook. However, it's important to remember that both represent probabilities, and neither is guaranteed to be perfectly accurate.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of overtime occurring in the Detroit vs Arizona game. As more people buy contracts for a particular outcome, the price increases, reflecting a higher perceived probability. Conversely, selling contracts drives the price down. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the aggregated beliefs of all participants trading on Kalshi, and the market dynamically adjusts to new information and trading activity.

This market resolves around Oct 11, 2026, with the outcome confirmed once the result of the Detroit vs Arizona game is verifiable from credible public reporting. Resolution will depend on whether the game officially goes into overtime as determined by official game statistics. The final price of the contracts will reflect whether overtime occurred, and traders will be paid out or required to pay based on their positions in the market. It’s important to monitor the game’s progress leading up to the final whistle.

Several factors could influence trading activity and move this market. Any news regarding injuries to key players on either the Detroit or Arizona teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the game’s style of play, could also shift the odds. Late-breaking news about team strategies or coaching decisions might also cause traders to reassess the probability of overtime. Public sentiment and expert analysis, while not directly reflected in the market, can also indirectly influence trading behavior.