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UTSA vs. Tulane Prediction, Odds & Pick

Prediction, odds and the model's read

Yulman StadiumConference game

Our model's read

Model win probability
UTSA 57%
Model line
UTSA −2.6
Gridpex modelUTSA 57% · TULN 43%
Pick UTSAModel line UTSA −2.6

Scouting report

2026 projection · last season, roster and staff

Where UTSA gets at Tulane: 18th at staying on schedule through the air, against a unit 100th at keeping opponents off schedule through the air. Tulane projects no clear way in against UTSA. UTSA is also 24th at surviving second and twelve, against a unit 100th.

HowUTSAattacksTULN

  • 1

    Stay on schedule through the air

    staying on schedule through the air · projected

    UTSA
    #18 of 138
    TULN
    #100 of 138
  • 2

    Trust the offense behind schedule

    surviving second and twelve · projected

    UTSA
    #24 of 138
    TULN
    #100 of 138
  • 3

    Win first and second down

    first and second down · projected

    UTSA
    #28 of 138
    TULN
    #100 of 138

The two teams

UTSA

pass-leaning

UTSA throws it: Jeff Traylor's offenses have been pass-leaning across 6 seasons. The strengths are offensive, led by 18th at staying on schedule through the air. The way in is 126th at keeping everything in front of them.

On fourth down he goes for it more often than his peers do from the same spots (+3.6%). Against what the expected-points model recommends he is −15.6% — the profession as a whole is negative on this.

UTSA has played 2 games against an average slate, adjusted for here. That football carries about 0% of what is below; the rest is still the preseason projection.

Projected strengths

  • Offensestaying on schedule through the air
    #18
    projected
  • Offenseturning trips inside the 40 into points
    #21
    projected
  • Offensesurviving second and twelve
    #24
    projected

Projected soft spots

  • Defensehitting chunk plays
    #126
    projected

Tulane

run-leaning

Tulane runs it: Will Hall's offenses have been run-leaning across 4 seasons. The way in is 108th at hitting chunk plays.

On fourth down he goes for it about as often as his peers do from the same spots (−1.6%). Against what the expected-points model recommends he is −26.8% — the profession as a whole is negative on this.

Tulane has played 2 games against a genuinely tough slate, adjusted for here. That football carries about 0% of what is below; the rest is still the preseason projection.

Projected soft spots

  • Offensehitting chunk plays
    #108
    projected

Ranks are national. Nothing here is last season's number — carrying one forward is measurably worse than saying nothing — and in-season figures are adjusted for who was actually played. This describes the matchup; it is not a prediction and not a pick.

Head coaches only — there is no free feed for coordinators, so on a program where the head coach does not call the offense this describes the staff he hired. Play-calling identity is a style, not a grade: throwing more than the situations warrant is not better than throwing less than they warrant.

Pregame line
Pregame total
Model line
UTSA −2.6
Projected total

Model prediction

how the number is built
Power rating (Elo)
TULN 1528
UTSA 1525
Projected spread
TULN +2.6
incl. home edge
Model pick
UTSA
57% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
43%
TULN (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (TULN Elo 1528, UTSA Elo 1525 for reference), with home-field advantage. That projects TULN +2.6 (43% to win), essentially in line with the market.

Why that percentage is worth reading: across 604 graded in-season games, the calls this model put near 58% came in at 58.2%. The full calibration table is published, bin by bin. Early in the season the cold-start path runs instead and calibrates less well (Brier 0.2028 against 0.1889).

Model as of Sep 1 · through week 1 · drive simulation

Where the game is won

2026 national rank · right is better

offensethe defense it faces

  • Moving the ball

    UTSA32nd105thTULN
    TULN55th97thUTSA
  • Through the air

    UTSA43rd80thTULN
    TULN88th87thUTSA
  • On the ground

    UTSA44th131stTULN
    TULN103rd133rdUTSA
  • Staying on the field

    UTSA129th131stTULN
    TULN99th115thUTSA
  • Taking care of it

    UTSA1st109thTULN
    TULN21st9thUTSA

Each bar runs from last in the country on the left to 1st on the right. The filled span is the gap between the offense and the defense it faces.

Season form — 2026

nationally ranked
UTSA2026 season · national rank shownTULN
461.535th
Total yards / game
341.0108th
7.032nd
Yards / play
6.455th
266.543rd
Passing yards / game
208.088th
195.044th
Rushing yards / game
133.0103rd
25.0%129th
3rd down %
34.6%99th
451.5127th
Yards allowed / game
429.5120th
45.7%115th
3rd down % allowed
52.9%131st
+55th
Turnover margin
069th
11.0136th
Penalties / game
9.5127th

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
UTSA TULN
+4.6 (#53)CORE overall+0.8 (#66)
+3 / -1offense / defense-1 / -1
2.82points / drive1.41
2.46allowed / drive1.95
36%three-and-outs32%
+7pass over expected-4

Bold is the side ahead. CORE strips the situation from every play and solves the schedule out across the league, so these compare two teams that never met.

Pro

Key matchups

The analyst read: each team's offense splits crossed against the opponent's defense, with the edges called out.

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FAQ

Who will win UTSA vs. Tulane?

Gridpex's model favors UTSA with a 57% win probability.

What's the predicted spread for UTSA vs. Tulane?

The model projects UTSA by 2.6.

What time is UTSA vs. Tulane and what channel is it on?

Time TBD, at Yulman Stadium.

Where this number comes from. Every projection on this page is produced by the same model, run before kickoff on opponent-adjusted efficiency, power ratings and situational data — walk-forward validated on eleven seasons and never adjusted after the fact. How the model works →

Model estimates for informational and entertainment purposes only. Not betting advice. 21+. If you or someone you know has a gambling problem, call 1-800-GAMBLER. Data: CollegeFootballData.