College Sports Picks — November 07, 2026

Your College Sports picks November 07, 2026 focus on 11 college basketball matchups where the model identifies clear edges in less efficient markets. Five games carry five-star conviction with model confidence above 87 percent, led by Longwood, Montana State, and Purdue. You should prioritize those heavy favorites while treating the lower-confidence leans as smaller positions only. The board shows a strong overall lean toward home favorites and proven programs, with just one total recommended. College Sports picks today reward disciplined sizing on the highest-percentage sides rather than chasing every game.

North Carolina Central vs Longwood — Longwood ML

Take Longwood at -850 on the moneyline. The model assigns this side 92 percent confidence, the highest on the board, reflecting Longwood’s overwhelming efficiency advantage in college basketball against a North Carolina Central squad that struggles to keep games close. This mismatch creates one of the clearest edges available today.

Long Beach State vs Montana State — Montana State ML

Back Montana State at -650. The model rates this play at 90 percent confidence because Montana State’s defensive structure and rebounding edge should dominate Long Beach State in this college basketball matchup. The large price reflects the expected margin of control.

North Dakota vs Winthrop — Winthrop ML

Play Winthrop at -650. With 88 percent model confidence, Winthrop’s superior offensive spacing and transition scoring create a significant mismatch against North Dakota, making this one of the stronger leans on the November 07, 2026 card.

North Carolina A&T vs Ohio — Ohio ML

Bet Ohio at -750. The model shows 88 percent confidence in Ohio, driven by its superior half-court execution and depth that should overwhelm North Carolina A&T in this college basketball contest.

Valparaiso vs Purdue — Purdue ML

Take Purdue at -5000. The model gives this 87 percent confidence based on Purdue’s elite size and defensive identity, which should produce a comfortable win over Valparaiso despite the steep price.

Toledo vs Marshall — Marshall ML

Bet Marshall at -140. The model edges this side at 66 percent because Marshall’s home-court advantage and rebounding should prove decisive against Toledo in college basketball action.

UNC Wilmington vs East Carolina — UNC Wilmington ML

Play UNC Wilmington at -190. The model rates this 65 percent, citing UNC Wilmington’s better offensive efficiency and experience as the key factors in this matchup.

Long Island vs La Salle — La Salle ML

Take La Salle at -225. With 62 percent model confidence, La Salle’s interior scoring and defensive length should handle Long Island on this college basketball slate.

Colorado vs San Diego State — San Diego State ML

Back San Diego State at -140. The model gives this 56 percent confidence, pointing to San Diego State’s physical style and defensive identity as the deciding factors against Colorado.

Colgate vs Drexel — Drexel ML

Play Drexel at -135. The model edges Drexel at 54 percent due to its balanced attack and home-court familiarity in this low-confidence college basketball game.

Cal State Fullerton vs South Dakota — Over 168.5

Bet the over at the posted total. The model shows 53 percent confidence that the pace and defensive lapses in this college basketball matchup will push the score above 168.5.

The board carries solid conviction on the top five plays but drops sharply after that. Model edges are probabilities, not guarantees, so size bets according to your bankroll and only risk what you can afford to lose. Review lines again before tip-off.