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Texas State vs. San Diego State Prediction, Odds & Pick

Prediction, odds and the model's read

Snapdragon StadiumConference game

Our model's read

Model win probability
SDSU 70%
Model line
SDSU −8.6
Gridpex modelTXST 30% · SDSU 70%
Pick San Diego StateModel line SDSU −8.6

Scouting report

2026 projection · last season, roster and staff

Where Texas State gets at San Diego State: 24th at staying out of the backfield, against a unit 94th at stuffing runs at the line. Where San Diego State gets at Texas State: 14th at keeping a clean pocket, against a unit 53rd at generating havoc.

HowTXSTattacksSDSU

  • 1

    Expect clean run lanes

    getting stopped at the line · projected

    TXST
    #24 of 138
    SDSU
    #94 of 138

HowSDSUattacksTXST

  • 1

    Expect a clean pocket

    sacks and tackles for loss · projected

    SDSU
    #14 of 138
    TXST
    #53 of 138

The two teams

Texas State

balanced

Texas State is in year 4 under G.J. Kinne, whose offenses have been balanced. The strengths are offensive, led by 6th at running it. The way in is 121st at keeping everything in front of them.

On fourth down he goes for it more often than his peers do from the same spots (+6.0%). Against what the expected-points model recommends he is −17.7% — the profession as a whole is negative on this.

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

Projected strengths

  • Offenserunning it
    #6
    projected
  • Offensethrowing it
    #9
    projected
  • Offensesurviving second and twelve
    #10
    projected

Projected soft spots

  • Defensehitting chunk plays
    #121
    projected

San Diego State

run-leaning

San Diego State runs it: Sean Lewis's offenses have been run-leaning across 6 seasons. The strengths are on both sides of the ball, led by 8th at closing out passing downs. The way in is 120th at hitting chunk plays.

On fourth down he goes for it about as often as his peers do from the same spots (+0.1%). Against what the expected-points model recommends he is −28.6% — the profession as a whole is negative on this.

San Diego State has not played an FBS opponent yet, so this is the projection: last season regressed toward the mean, plus returning production, recruiting, talent and whether the staff is the same one.

Projected strengths

  • Defensesurviving second and twelve
    #8
    projected
  • Defenseturning trips inside the 40 into points
    #8
    projected
  • Offensegetting stopped at the line
    #9
    projected

Projected soft spots

  • Offensehitting chunk plays
    #120
    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
SDSU −8.6
Projected total

Model prediction

how the number is built
Power rating (Elo)
SDSU 1477
TXST 1433
Projected spread
SDSU -8.6
incl. home edge
Model pick
SDSU
70% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
70%
SDSU (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (SDSU Elo 1477, TXST Elo 1433 for reference), with home-field advantage. That projects SDSU -8.6 (70% 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

    TXST92nd60thSDSU
    SDSU66th112thTXST
  • Through the air

    TXST100th121stSDSU
    SDSU118th128thTXST
  • On the ground

    TXST36th51stSDSU
    SDSU30th99thTXST
  • Staying on the field

    TXST23rd76thSDSU
    SDSU35th111thTXST
  • Taking care of it

    TXST133rd30thSDSU
    SDSU95th88thTXST

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
TXST2026 season · national rank shownSDSU
415.063rd
Total yards / game
394.077th
5.592nd
Yards / play
6.366th
190.0100th
Passing yards / game
157.0118th
225.036th
Rushing yards / game
237.030th
54.8%23rd
3rd down %
50.0%35th
457.0124th
Yards allowed / game
375.093rd
46.7%111th
3rd down % allowed
36.8%76th
-5136th
Turnover margin
066th
6.052nd
Penalties / game
6.052nd

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
TXST SDSU
+6.5 (#46)CORE overall+8.6 (#38)
+8 / +2offense / defense+2 / -6

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 Texas State vs. San Diego State?

Gridpex's model favors San Diego State with a 70% win probability.

What's the predicted spread for Texas State vs. San Diego State?

The model projects San Diego State by 8.6.

What time is Texas State vs. San Diego State and what channel is it on?

Sat, Oct 3, 10:30 PM ET, at Snapdragon 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.