College Sports Picks — November 10, 2026

Today's College Sports picks November 10, 2026 feature ten NCAA basketball matchups across multiple conferences. You see clear model edges on several heavy favorites, especially in the first three games where confidence exceeds 79 percent. The board leans toward established programs in most contests, with five-star conviction concentrated on George Washington, Dayton, and Fordham. College Sports picks today also include four mid-tier leans and three lower-confidence selections where the edge narrows. Overall, the data favors taking the listed moneyline sides rather than totals or spreads on this slate.

Elon vs George Washington — George Washington ML

Take George Washington at -1300. The model assigns an 88 percent probability to the favorite covering the moneyline, the highest figure on the board. This reflects a steep talent gap that has produced consistent results for George Washington against similar opponents. You receive five-star conviction aligned with that 88 percent edge in this NCAA basketball matchup.

Siena vs Dayton — Dayton ML

Take Dayton at -900. The model posts an 87 percent win probability for the favorite, driven by Dayton's superior efficiency metrics against mid-major competition. Five-star conviction backs the selection in this NCAA basketball game.

Iona vs Fordham — Fordham ML

Take Fordham at -1000. The model gives Fordham a 79 percent chance to win outright, reflecting a significant home advantage and roster depth edge. Five-star conviction supports the moneyline at this price in NCAA basketball action.

Duke vs Michigan State — Duke ML

Take Duke at -300. The model rates Duke's win probability at 78 percent, citing superior perimeter defense and rebounding against Michigan State's style. Five-star conviction aligns with the 78 percent figure in this NCAA basketball contest.

Illinois vs Texas Tech — Illinois ML

Take Illinois at -130. The model assigns a 69 percent win probability to Illinois, based on better overall efficiency and road performance. Four-star conviction supports the side in this NCAA basketball matchup.

Virginia Tech vs Iowa — Iowa ML

Take Iowa at -240. The model projects a 68 percent chance for Iowa to win, driven by home-court factors and interior scoring advantages. Four-star conviction backs the moneyline in this NCAA basketball game.

Youngstown State vs Central Michigan — Central Michigan ML

Take Central Michigan at -160. The model gives Central Michigan a 60 percent win probability, reflecting a modest edge in tempo and rebounding. Two-star conviction applies to this NCAA basketball selection.

Creighton vs Kansas State — Creighton ML

Take Creighton at -180. The model rates Creighton's win probability at 55 percent, a slim edge based primarily on offensive efficiency. One-star conviction supports the moneyline in this NCAA basketball matchup.

Wright State vs Toledo — Wright State ML

Take Wright State at -130. The model assigns a 54 percent win probability to Wright State, resting on slight advantages in shooting and ball security. One-star conviction backs the side in this NCAA basketball game.

Kansas vs Kentucky — Kansas ML

Take Kansas at -220. The model gives Kansas a 50 percent win probability, the lowest on the board and essentially a coin-flip outcome. One-star conviction supports the lean in this NCAA basketball matchup.

The board shows strongest alignment on the top three five-star plays while the remaining selections carry progressively smaller edges. Model percentages represent calculated probabilities, not guarantees. Manage your bankroll responsibly by sizing bets according to conviction level and avoiding overexposure on any single day.