| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 144.5 points scored | 49% | 48¢ | 49¢ | — | $4K | Trade → |
| Over 141.5 points scored | 60% | 55¢ | 59¢ | — | $2K | Trade → |
| Over 138.5 points scored | 66% | 63¢ | 67¢ | — | $132 | Trade → |
| Over 135.5 points scored | 71% | 69¢ | 73¢ | — | $89 | Trade → |
| Over 132.5 points scored | 78% | 75¢ | 79¢ | — | $51 | Trade → |
| Over 147.5 points scored | 41% | 40¢ | 44¢ | — | $29 | Trade → |
| Over 153.5 points scored | 25% | 26¢ | 31¢ | — | $17 | Trade → |
| Over 156.5 points scored | 24% | 21¢ | 25¢ | — | $6 | Trade → |
| Over 150.5 points scored | 31% | 33¢ | 37¢ | — | $1 | Trade → |
| Over 160.5 points scored | 0% | 13¢ | 20¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 17¢ | 22¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 80¢ | 84¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 85¢ | 88¢ | — | $0 | Trade → |
This market asks which total-points range the Montana at Portland St. game will fall into, using multiple outcome buckets. It matters because total points capture game flow and team matchups and provide a way to trade expectations about scoring rather than a winner.
Montana and Portland State are conference rivals with histories of both high- and low-scoring contests depending on coaching matchups and personnel. Home-field, recent offensive schemes, and roster continuity typically shape whether their meetings turn into shootouts or defensive battles.
Each outcome corresponds to a specific range (or exact total) of combined points; market prices reflect the consensus expectation for which range is most likely. Traders interpret shifting prices as updated collective information about scoring pace, injuries, and game conditions.
The close time is listed as TBD; on many platforms total-points markets close at or shortly before kickoff, but you should check the event page on the platform for the definitive close time.
Look at recent head-to-head combined scoring totals, each team’s points per game and points allowed trends, pace (plays per game), red-zone efficiency, and turnover margins across the last several matchups.
Losing a starting QB typically reduces offensive efficiency and scoring ceiling, especially if the backup is inexperienced; conversely, injuries to key defensive players can raise the expected total by making it easier to score.
Home-field can favor the host’s comfort with the venue and clock management; local weather such as rain or wind can suppress passing and kicking success, while turf/field conditions affect special teams and return opportunities.
Track the scoring pace (points per quarter), offensive play-calling (aggressive vs. conservative), turnovers, injuries, and any game-clock or weather developments; halftime adjustments and visible quarterback performance are particularly informative.