| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 3.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Over 1.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
This market asks how many combined points/goals the New York team and the Charlotte team will score in their matchup; it matters to traders who want to express views or hedge positions tied to the game's scoring outcome.
Totals markets reflect expectations about game flow, pace, offensive and defensive form, and roster availability. Historical head‑to‑head trends, recent scoring environment for each team, and late news (injuries, rotations, rest) can all shift expectations before tipoff.
Prices in this market represent the market consensus about which total-range outcome is most likely given current information; as news arrives (lineup changes, injuries, travel or rest updates), those prices typically move to incorporate the new information.
This contract is split into a small set of discrete total-range outcomes (four reported for this listing). Each outcome corresponds to a range of possible combined scores; check the event page to see the exact ranges and labels before trading.
The event page currently shows the close time as TBD. Markets for game totals typically close shortly before the game starts, but you should monitor the event page for an official lock time and any updates from the platform.
Settlement rules vary by contract and are specified on the event page. Confirm the contract’s settlement terms to see whether overtime is included; if it’s not clearly stated, wait for the platform’s clarification before placing trades that hinge on overtime.
Late scratches and lineup changes directly affect expected scoring and typically trigger rapid price movement as traders update expectations. If you hold a position, consider whether to hedge or adjust exposure when such news breaks.
Consider how Charlotte’s home environment, travel for New York, and historical scoring trends between these teams influence pace and efficiency. Use this context alongside current-season form and injury reports to form a forward-looking view of the likely combined score.