| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 141.5 points scored | 44% | 44¢ | 49¢ | — | $112 | Trade → |
| Over 129.5 points scored | 0% | 41¢ | 98¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 48¢ | 98¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 52¢ | 59¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 2¢ | 48¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 31¢ | 37¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 21¢ | 33¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 57¢ | 65¢ | — | $0 | Trade → |
| Over 144.5 points scored | 0% | 39¢ | 44¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 2¢ | 51¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 64¢ | 78¢ | — | $0 | Trade → |
This market asks traders to predict the combined number of goals (total points) scored in the UMass Lowell at Maine game. Total-goals markets are useful because they isolate expectations about tempo, goaltending, and special teams rather than which side wins.
UMass Lowell and Maine are NCAA college hockey programs whose matchups can range from tight defensive contests to higher-scoring affairs depending on starting goalies, lineups, and game context. Season-to-season roster turnover, recent injuries, and coaching strategies influence scoring expectations, and market structure (11 discrete outcomes) shows how traders partition possible totals.
Market prices reflect the crowd's current view of which total-goals range is most likely; relatively higher-priced outcomes indicate ranges the market sees as less likely. Use prices as relative signals and check the event page for the live market state and official settlement rules.
Close time is listed on the market page; many markets close at official game start but some close earlier or later depending on platform rules, so check the event’s listed close time and the exchange’s notice for any changes.
The outcomes divide the range of possible combined goals into 11 discrete buckets or exact totals as defined on the market page; consult the event description for the precise ranges or scoring bins and how each outcome is labeled.
Whether overtime counts depends on the market’s official rules; many total-goals markets include goals scored in overtime, but you should verify the settlement rules on the event page or platform rulebook.
Key drivers are the announced starting goalies, expected penalty volume and power-play strength, availability of leading scorers or defensemen, and whether either coach typically pushes pace or prefers a defensive approach in this matchup.
Head-to-head history can provide context but is often a small sample; prioritize recent team form, current goaltender performance, lineup changes, venue, and schedule context, then use past matchups as supplementary information.