Tulane has a 54% win chance in a toss-up matchup.
UTSA leads this category, but Tulane still leads the complete model.
UTSA needs short fields or a possession advantage to break the expected script.
How the game projects
Tulane owns the median outcome. UTSA needs the game to bend.
The complete rating, roster and matchup blend. 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 Tulane the neutral-field leader after blending opponent-adjusted efficiency, predictive ratings, roster quality, returning production, portal impact and special teams. The complete environment contributes +2.0 points toward the home-team margin. The median score is Tulane 27 · UTSA 25, with roughly 12.0 possessions per team.
This is a distribution, not a promise. Tulane wins 54% 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 coverageUTSA 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 positionTulane 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 availabilityTulane leads+
Tulane's learned home baseline, venue history, capacity and altitude at Yulman Stadium.
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 lineTulane -1.8View 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.
- Owen McCownQB · Returning5.0
- AJ Wilson Jr.WR · Returning0.8
- David Amador IIWR · Returning0.8
- Zeon Chriss-GremillionQB · Transfer in from Houston4.7
- Anthony Brown-StephensWR · Returning0.7
- Zycarl Lewis Jr.WR · Returning0.7
Market translation
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.
- W6Oct 8vs South FloridaHome
- W7Oct 17vs NavyHome
- NOWOct 24at TulaneCurrent matchup
- W10Nov 5at Florida AtlanticAway
- W11Nov 14vs North TexasHome
- W6Oct 10at ArmyAway
- W7Oct 16vs MemphisHome
- NOWOct 24vs UTSACurrent matchup
- W9Oct 30at CharlotteAway
- W10Nov 7vs TulsaHome