| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| New York I wins by over 1.5 goals | 28% | 27¢ | 28¢ | — | $9K | Trade → |
| Anaheim wins by over 1.5 goals | 31% | 30¢ | 31¢ | — | $689 | Trade → |
| New York I wins by over 2.5 goals | 18% | 18¢ | 21¢ | — | $27 | Trade → |
| Anaheim wins by over 2.5 goals | 18% | 17¢ | 20¢ | — | $12 | Trade → |
This market asks which spread outcome will occur in the New York I at Anaheim matchup; spread markets matter because they focus on margin of victory and summarize collective expectations about how close the game will be.
The event reflects a single head-to-head contest between New York I and Anaheim played in Anaheim, with home-venue factors and season context potentially shaping the expected margin. Historical matchups, current form, roster availability, and scheduling (travel and rest) are typical background drivers that influence spread expectations.
Market prices for each outcome reflect the aggregate view of traders about which margin bucket will occur and adjust as new information arrives; a higher market price for an outcome indicates stronger market support for that outcome relative to its peers.
The market closing time is listed as TBD; settlement will be based on the event's official final score and the contract's predefined spread ranges according to KALSHI's published settlement rules and dispute processes.
The four outcomes divide possible final margins into discrete buckets that allocate which side covers the spread (two outcomes favor New York I by different margin ranges and two favor Anaheim by different margin ranges); consult the event description on-platform for the exact bucket definitions.
Home advantage can influence expected margins through crowd impact, travel fatigue for the visitor, and familiarity with the venue; factor in historical home performance and any travel or scheduling disadvantages facing New York I.
$10,010 in volume indicates there has been measurable trading interest and some liquidity, but you should also check current order book depth and recent trade frequency to assess how easily positions can be entered or exited and how representative prices are.
Prediction markets typically react quickly to late-breaking news, which can prompt rapid price movement across the four outcomes; traders should monitor official team reports and be prepared for increased volatility and changing fills as the market incorporates the new information.