College Football Picks — November 13, 2026

Your College Football picks November 13, 2026 focus on four matchups where model edges align with market pricing on three sides. College Football picks today lean heavily toward the favorites in the first three games, each carrying four- or five-star conviction and model confidence above 83 percent. The final game shows a lighter edge and lower conviction. These selections emphasize where the data separates clearest from the spread, particularly in environments where home-field dynamics and quarterback stability often decide outcomes.

Houston vs Colorado — Houston ML

Take Houston at -400. The model assigns this side an 86 percent probability, the highest of the board, reflecting a clear mismatch in offensive line play and quarterback efficiency that the market has priced accurately. Heavy home support for Colorado rarely overcomes this level of talent differential in non-rivalry settings.

Illinois vs UCLA — UCLA ML

Take UCLA at -375. The 83 percent model confidence supports the heavy favorite here, driven primarily by UCLA’s superior quarterback protection and overall roster depth that has consistently produced results against similar competition. The line movement already accounts for most home-field noise.

Southern Utah vs Portland State — Southern Utah ML

Take Southern Utah at -475. An 83 percent model rating backs the chalk, highlighting a decisive edge in offensive line dominance that limits Portland State’s ability to stay competitive on the ground or in protection.

Florida State vs Pittsburgh — Pittsburgh ML

Take Pittsburgh at -170. The model registers only 57 percent confidence on this side, the lowest of the day, indicating the market has already incorporated most of the home-field and injury variables into the price.

Three of the four selections carry strong model backing above 80 percent, while the Pittsburgh lean remains a lower-conviction play. Model edges provide information, not guarantees; always size bets according to your own bankroll limits and risk tolerance.