South Florida has a 51% win chance in a toss-up matchup.
UTSA leads this category, but South Florida still leads the complete model.
UTSA needs short fields or a possession advantage to break the expected script.
How the game projects
South Florida owns the median outcome. UTSA needs the game to bend.
Expected efficiency and scoring leverage. Protect the football and make that advantage show up across full drives instead of isolated plays.
Starter probability, production and continuity. Pair that advantage with short fields and explosive plays.
Read the full projection +
The model makes South Florida the neutral-field leader after blending opponent-adjusted efficiency, predictive ratings, roster quality, returning production, portal impact and special teams. The complete environment contributes +2.4 points toward the home-team margin. The median score is UTSA 26 · South Florida 27, with roughly 12.0 possessions per team.
This is a distribution, not a promise. South Florida wins 51% of the outcome curve; the remaining probability captures turnovers, finishing-drive variance, injuries and early-season uncertainty.
Does the strongest model advantage appear on the opening possessions?
12.0 possessions per team is the scoring baseline.
Turnovers, short fields and explosive plays are the clearest upset path.
Why the model likes it
The matchup engine, from highlights to detail.
Open only the part you want. Every figure is a matchup index—not a projected point adjustment.
Offense vs. defenseEfficiency, explosives and coverageSouth Florida leads+
Expected scoring efficiency and early-down leverage across the two offenses.
Opponent-adjusted prevention, disruption and finishing-drive defense.
Pass-game production, returning usage and depth against the opposing coverage unit.
Coverage experience and play prevention against the opposing passing attack.
Quarterback & personnelThe players most capable of moving the numberUTSA leads+
Starter probability, proven production, continuity and transfer translation.
Role-weighted returning production and incoming transfer contribution.
Recruiting baseline, usable depth and talent concentration at premium positions.
Line of scrimmageProtection, disruption and field positionUTSA leads+
Returning line usage, protection stability and the ability to avoid negative plays.
Pressure, havoc and run disruption without needing extra defenders.
Kicking, field position and hidden-yardage efficiency.
EnvironmentHome field, travel, weather and availabilityUTSA leads+
UTSA's learned home baseline, venue history, capacity and altitude at Alamodome.
Relative trip distance, time-zone change and local kickoff timing.
Difference in recovery time entering the game.
Verified injury and availability reports applied as a live overlay.
How 4M built the fair lineUTSA +0.5View the number bridge +
The location calculation combines the learned national baseline with venue and conference history, capacity, altitude, travel, body clock and rest. The archived team ratings remain neutral-field numbers.
Personnel file
Continuity, transfers and the people who can move the number.
- KJ CooperQB · Transfer in from Texas Southern4.6
- D.J. CrowtherRB · Transfer in from Dartmouth0.8
- Jason Collins Jr.RB · Transfer in from Morgan State0.8
- Owen McCownQB · Returning5.0
- AJ Wilson Jr.WR · Returning0.8
- David Amador IIWR · Returning0.8
Pregame market receipt
No automatic play.
No licensed pregame market is attached. The 4M football forecast remains archived, but no live-game price is substituted after kickoff.
Schedule context
What comes immediately before and after this matchup.
- W4Sep 26at Bowling GreenAway
- W5Oct 3vs TempleHome
- NOWOct 8at UTSACurrent matchup
- W7Oct 17vs Kent StateHome
- W9Oct 31vs UABHome
- W4Sep 26vs Colorado StateHome
- W5Oct 3at RiceAway
- NOWOct 8vs South FloridaCurrent matchup
- W7Oct 17vs NavyHome
- W8Oct 24at TulaneAway