| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Atlanta wins by over 2.5 goals | 11% | 7¢ | 8¢ | — | $576 | Trade → |
| Salt Lake wins by over 1.5 goals | 11% | 10¢ | 11¢ | — | $524 | Trade → |
| Atlanta wins by over 1.5 goals | 22% | 20¢ | 21¢ | — | $53 | Trade → |
| Salt Lake wins by over 2.5 goals | 1% | 3¢ | 4¢ | — | $2 | Trade → |
This market asks which spread band will occur in the Salt Lake at Atlanta match; it matters because spreads capture how large a margin each side is expected to win by and let traders express views on relative team strength and margin outcomes.
The market covers a single Salt Lake vs. Atlanta fixture and lists four discrete spread outcomes that correspond to different margin bands; those bands reflect possible ranges of victory rather than a simple win/loss. Historical head-to-head trends, home-field advantage for Atlanta, travel and scheduling, and roster availability have typically influenced margins in past matchups and are the kinds of background factors traders monitor.
Market prices represent the collective expectation of which spread band will occur and change as new information appears; treat them as an aggregated signal, not a certainty.
The listed close time is currently TBD; the platform will set a formal close before resolution. The market will be resolved according to the platform's settlement rules after the official match result and any league reviews are finalized; if the match is postponed or canceled the platform's cancellation/reschedule policy will determine outcome handling.
Each of the four outcomes corresponds to a discrete spread band—distinct margin ranges that determine which outcome wins. Consult the market page to see the exact numeric bands; typically one or more outcomes cover the favorite winning by larger margins, while other outcomes cover closer results or the underdog prevailing.
Relatively low volume means liquidity is limited and prices can move substantially on small trades, so treat current prices as potentially more volatile and sensitive to new information; combine market signals with independent scouting and match-specific details before acting.
Key triggers include confirmed starting lineups, late injuries or suspensions, goal-scoring events, red cards, significant weather changes, and large bets or new information that changes perceived match balance; these events tend to cause the largest price moves.
Emphasize recent form and context-specific factors (home/away, injuries, rest) over long-ago head-to-head results; use head-to-head as a supplementary input but adjust for roster turnover, coaching changes, and the sample size—goal margin and situational context often matter more than raw win/loss counts for spread markets.