| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 143.5 points scored | 44% | 43¢ | 44¢ | — | $71K | Trade → |
| Over 140.5 points scored | 55% | 55¢ | 56¢ | — | $29K | Trade → |
| Over 128.5 points scored | 84% | 81¢ | 84¢ | — | $7K | Trade → |
| Over 137.5 points scored | 58% | 60¢ | 64¢ | — | $2K | Trade → |
| Over 131.5 points scored | 77% | 74¢ | 77¢ | — | $2K | Trade → |
| Over 158.5 points scored | 12% | 12¢ | 15¢ | — | $1K | Trade → |
| Over 149.5 points scored | 36% | 31¢ | 33¢ | — | $1K | Trade → |
| Over 146.5 points scored | 40% | 37¢ | 40¢ | — | $484 | Trade → |
| Over 155.5 points scored | 51% | 17¢ | 21¢ | — | $87 | Trade → |
| Over 152.5 points scored | 24% | 24¢ | 27¢ | — | $15 | Trade → |
| Over 134.5 points scored | 72% | 66¢ | 72¢ | — | $2 | Trade → |
This market asks how many combined points will be scored in the college football game Alcorn St. at Alabama St., letting traders express views on whether the game will be high- or low-scoring. It matters to fans and risk-takers who want exposure to scoring outcomes rather than winner/loser bets.
Alcorn State and Alabama State are SWAC programs with a history of competitive meetings; past games between HBCU conference opponents can swing between defensive battles and shootouts depending on matchups and seasons. Team styles, coaching tendencies, and situational factors (home crowd, travel, scheduling) have historically driven large variation in total scores for this pairing.
Market odds represent how traders collectively value each total-points outcome and update as new information arrives; they are a dynamic summary of expectations, not fixed predictions. Watch movements around lineup news, weather updates, and kickoff for the clearest signals of changing expectations.
The platform lists the close time as TBD; many total-points markets close at kickoff but some remain open until shortly before the game starts—check the exchange for the official closing timestamp.
The 11 outcomes are discrete scoring buckets or specific total thresholds covering a range of combined point totals; each outcome corresponds to a particular total-points interval or exact total used to settle the market.
A late QB injury typically reduces expected scoring on the affected side, prompting quick market adjustments as traders price in backup uncertainty, altered play-calling, and potential drops in offensive efficiency.
Consider typical local conditions (heat, humidity, chance of rain, and wind) and the stadium environment; wet or windy conditions and an artificial surface can hinder passing and kicking, generally lowering scoring expectations, while calm conditions favor offenses.
Post-halftime or late-game movement reflects traders updating expectations based on real-time information—scoring pace, injuries, fatigue, and strategic adjustments—so rapid shifts indicate new information materially changing expected final points.