College Football Picks — October 15, 2026

Your College Football picks today center on three G5 matchups where model edges stand out against less efficient college markets. Home-field advantage and quarterback play remain key variables that can shift lines, especially in hostile environments. The board shows one high-conviction moneyline favorite alongside two lower-confidence selections. Overall lean favors the heavy Texas State side as the clearest edge, while the other two plays rely on totals and slight moneyline value. College Football picks October 15, 2026 emphasize disciplined sizing on the highest-rated model output rather than chasing every line movement.

Colorado State vs Texas State — Texas State ML

Take Texas State ML at -900. The model assigns a 90% probability to this outcome, marking it the strongest play on the board with five-star conviction. As a G5 matchup, Texas State’s home environment adds crowd-noise pressure that can disrupt opposing offenses, while the significant moneyline discrepancy reflects clear separation in quarterback and offensive-line quality. This edge carries more weight in college markets where pricing often lags behind the data.

East Carolina vs UAB — Over 46.5

Play the Over 46.5 at the current number. The model projects a 63% hit rate on this total, driven by expected pace and defensive vulnerabilities in this G5 cross-conference game. Neither side possesses elite quarterback protection or secondary depth that would suppress scoring, allowing the over to clear at a modest but positive expected value.

Georgia Southern vs Old Dominion — Georgia Southern ML

Back Georgia Southern ML at -165. The model gives this side a 62% probability, enough to clear the market price in a standard G5 environment. Georgia Southern’s offensive line and quarterback execution create the primary edge against an Old Dominion defense that struggles to generate consistent pressure on the road.

Model edges on this board range from high to moderate and should be treated as probabilities, not certainties. Size bets according to your bankroll limits and only risk amounts you can afford to lose. Past model performance does not guarantee future results.