| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 3.5 goals scored | 37% | 35¢ | 37¢ | — | $2K | Trade → |
| Over 2.5 goals scored | 59% | 58¢ | 59¢ | — | $297 | Trade → |
| Over 4.5 goals scored | 18% | 17¢ | 18¢ | — | $16 | Trade → |
| Over 1.5 goals scored | 0% | 80¢ | 82¢ | — | $0 | Trade → |
This market asks how many combined goals/points will be scored in the Montreal at New York match (the 'Totals' market). It matters to traders and fans who want a real-time signal about expected game scoring and pace.
The market covers a single Montreal road game at New York and breaks outcomes into mutually exclusive total-score ranges set by the platform. Historical scoring between these clubs, recent form, and venue effects (home advantage for New York) all influence expectations. Current market liquidity is modest, with total volume traded shown on the platform.
Prediction market prices here summarize trader expectations for which total-score range will occur and update as news arrives; treat prices as evolving signals that incorporate lineup, weather, and other information rather than fixed forecasts.
It settles based on the official combined score of the match as reported by the league or match officials; whichever listed total-range outcome contains that combined score is the winner. Check the market page for the exact settlement rules used by the platform.
The market close time is listed as TBD on the page; platforms commonly stop trading at or just before kickoff and then settle after the official match result is available. Confirm the exact close and settlement policy on the market details before trading.
Watch confirmed starters and absences for leading goal scorers and the starting goalkeepers, late injury reports, unexpected rotations, and any red-card suspensions — each can materially change scoring expectations and prompt price moves.
Early goals tend to increase the chance of higher total outcomes by opening the game and forcing tactical adjustments; a red card can reduce scoring by making teams more defensive or, conversely, create imbalanced play that increases chances depending on timing. Markets typically respond quickly to such events if trading remains open.
Head-to-head and recent form provide context but can be noisy — prioritize recent scoring trends, current squad availability, and venue effects over long-term historical records, and be mindful that small sample sizes can mislead when predicting totals.