| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| New York wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 26.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 20.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 29.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New York wins by over 23.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the New York at Indiana game; it matters because spread markets express expectations about the likely margin of victory and provide a way to trade views on relative team strength.
Spread markets break the possible final-margin outcomes into discrete buckets; this listing offers 11 outcomes that cover different margin ranges for the matchup. Contextual factors such as venue (New York traveling to Indiana), recent team form, injuries, and scheduling typically drive how those buckets are priced by the market.
Market prices reflect how traders allocate capital across the 11 spread outcomes and will move as new information (injuries, lineups, weather, etc.) arrives. Interpret prices as relative market support for each margin bucket rather than a definitive prediction.
Each outcome corresponds to a specific point‑margin range defined by the market rules; after the game the official final score determines which single outcome settles.
The event listing shows the close as TBD; typically the market will close shortly before the game's official start per platform rules, and settlement happens after the league posts the official final score — check the market page for the exact close time and settlement procedure.
Official injury designations and confirmed starting lineups are high‑impact inputs because they change expected margins; monitor credible team and league sources and expect the market to react as participants update positions.
Home advantage can meaningfully affect expected margin through crowd impact, travel fatigue for the visitor, and familiarity with the venue, but the size of that effect depends on team-specific home/road splits and current rosters.
Consult sports databases, league historical box scores, and betting records for head‑to‑head margins and recent cover rates; compare results by venue and review injury/context notes for those past games to make comparisons more relevant.