A.I. College Football Picks for Week 4 – ATS & O/U Predictions from Sportradar Model
By Brady Trettenero in College Football
Published:
- SportRadar’s A.I. model posted a solid 5-5 ATS record in Week 3, but dominated totals going 7-3 on over/under picks
- The model continues targeting unders, picking them in 70% of this week’s marquee matchups
- Below, see A.I. picks for Week 4’s biggest college football games, including ATS predictions
SportRadar’s A.I. model bounced back with a strong totals performance in Week 3, nailing 7 of 10 over/under picks while going .500 on spreads. The model correctly identified low-scoring affairs in games like Florida-LSU and Oregon-Northwestern, both finishing well under their totals.
Week 4 brings massive conference showdowns with playoff implications across the board. From Auburn’s revenge game at Oklahoma to Miami hosting Florida with College GameDay in town, the model has analyzed every angle in the college football odds.
A.I. College Football Picks for Week 4
A.I. college football picks record to date:
- ATS picks: 12-8
- O/U picks: 11-9
Picks generated on September 18, 2025. Check out the top college football betting apps ahead of Week 4.
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Model Sticks with College Football Underdog Picks
The A.I. continues its trend of backing underdogs, taking five road dogs this week. This has been the model’s consistent approach through the first three weeks, and it’s paying off again in Week 4.
Auburn getting 6.5 at Oklahoma tops the list, with the model factoring in the Tigers’ dominant rushing attack (242 yards per game) against a Sooners defense that’s allowed just 96.3 on the ground.
Nebraska getting points at home against Michigan reflects the Wolverines’ road struggles and quarterback issues. Bryce Underwood threw for just 57.5% last week, while Dylan Raiola’s been accurate with a 76.6% completion rate and zero interceptions.
The model also loves Memphis catching 7.5 against Arkansas. The Tigers’ defense allows just 11 points per game and should slow down Taylen Green, even with his dual-threat ability. This underdog-heavy approach worked last week with wins on Texas A&M, Vanderbilt, West Virginia, Georgia Tech and Arkansas all covering as dogs.
Defensive Battles Dominate AI CFB Predictions
Seven of the 10 games project to go under, with the model particularly confident in Michigan-Nebraska staying under 45.5. Both defenses rank in the top 20 nationally in yards allowed, and neither offense has shown consistency through the air.
Auburn-Oklahoma’s under at 48.5 is expected given Oklahoma’s defense allowing just 6.3 points per game. Jackson Arnold’s return to Norman won’t be a happy homecoming against his former team’s elite defense.
The overs that are projected to hit involve teams with explosive offenses facing vulnerable defenses. Utah-Texas Tech should fly over 57.5 with both teams averaging over 45 points per game.
Key Matchup Analysis
Auburn vs Oklahoma: The model sees value in Auburn despite the line moving toward Oklahoma. The Tigers’ ground game and Oklahoma’s shocking -5 turnover differential create upset potential. If Auburn controls the clock, they can keep this within a touchdown.
Florida vs Miami: Our A.I. backs Miami to cover with Gatros’ QB DJ Lagway struggling. The Hurricanes’ Carson Beck has been elite with a 79.3% completion rate, while Florida has thrown six interceptions in three games (including five last week). The Canes should roll at home.
Illinois vs Indiana: The model likes Indiana’s elite rushing attack (307.7 yards per game) to wear down Illinois. Fernando Mendoza’s 9-to-0 TD-to-INT ratio gives the Hoosiers the quarterback edge in this Big Ten showdown.
A.I. College Football Picks – Results from Week 3
The model nailed some clutch calls last week, including Vanderbilt +4 in their shocking 24-point victory over South Carolina. The closest sweat came in the Oregon-Northwestern game, which landed exactly on 48 points to sneak under by half a point.
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Lead NHL & NCAAF Editor
Brady is the lead NHL and College Football editor at Sports Betting Dime, where he specializes in betting odds and data-driven analysis. Brady has over 10 years experience working in sports media, with work published by outlets such as ESPN, CBS Sports, Yahoo! Sports and Fox Sports.