| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
This market asks how many total points will be scored in the game 'Seattle at Auburn' across 11 discrete outcomes; it matters because it aggregates public expectations about scoring and can highlight how new information shifts those expectations.
The market frames a single matchup between Seattle and Auburn and partitions possible combined scores into outcome buckets; the market close time is listed as TBD, so final trading rules and cutoffs will be set by the exchange. Historical context matters but may be limited if the teams have few recent head-to-head meetings, so analysts often rely on season-long offensive and defensive trends and matchup adjustments.
Market odds reflect the collective view of traders about which total points bucket is most likely; movements indicate new information or changing sentiment, but interpret prices alongside liquidity and game-day news rather than as fixed forecasts.
The market close is determined by the exchange and currently listed as TBD; the exchange will publish the official close time, which is often at or shortly before kickoff—monitor the market page for updates.
The 11 outcomes are discrete buckets or thresholds that divide the range of possible combined scores into mutually exclusive options; consult the market description on the exchange to see the exact point ranges or cutoffs for each outcome.
If the teams have limited direct history, place more weight on recent season scoring averages, opponent-adjusted metrics, and stylistic matchups (e.g., pace, red-zone efficiency) rather than head-to-head results; if there is a substantial head-to-head sample, consider trends but adjust for roster and coaching changes.
Late injury reports or inactives for starting quarterbacks and primary offensive weapons, surprise changes to defensive starters, announced game plans emphasizing run or pass, and key special teams news (kicker availability) are the most likely to shift expectations for total scoring.
Low volume means prices may reflect few trades and can be more volatile or less reliable as signals; treat early or thinly traded prices as provisional, watch for increased liquidity and corroborating public information before treating market prices as definitive.