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Arizona State vs. Texas Tech Prediction, Odds & Pick

Prediction, odds and the model's read

Jones AT&T StadiumConference game

Our model's read

Model win probability
TTU 97%
Model line
TTU −27.8
Gridpex modelASU 3% · TTU 97%
Pick Texas TechModel line TTU −27.8

Scouting report

2026 projection · last season, roster and staff

Where Texas Tech gets at Arizona State: 15th on first and second down, against a unit 55th on early downs defensively. Arizona State projects no clear way in against Texas Tech. Texas Tech is also 17th at moving the ball on the ground, against a unit 55th.

HowTTUattacksASU

  • 1

    Win first and second down

    first and second down · projected

    TTU
    #15 of 138
    ASU
    #55 of 138
  • 2

    Lean on the run

    moving the ball on the ground · projected

    TTU
    #17 of 138
    ASU
    #55 of 138
  • 3

    Finish drives in the red zone

    turning trips inside the 40 into points · projected

    TTU
    #12 of 138
    ASU
    #48 of 138

The two teams

Arizona State

balanced

Arizona State is in year 4 under Kenny Dillingham, whose offenses have been balanced. The strengths are defensive, led by 30th at defending the run.

On fourth down he goes for it more often than his peers do from the same spots (+8.3%). Against what the expected-points model recommends he is −7.3% — the profession as a whole is negative on this.

Arizona State has played 1 game 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

  • Defenserunning it
    #30
    projected
  • Defensegetting stopped at the line
    #33
    projected
  • Defensesacks and tackles for loss
    #33
    projected

Texas Tech

pass-leaning

Texas Tech throws it: Joey McGuire's offenses have been pass-leaning across 4 seasons. The strengths are defensive, led by 1st at keeping opponents off schedule through the air.

On fourth down he goes for it more often than his peers do from the same spots (+10.0%). Against what the expected-points model recommends he is −13.3% — the profession as a whole is negative on this.

Texas Tech 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

  • Defensestaying on schedule through the air
    #1
    projected
  • Defenserunning it
    #1
    projected
  • Defensefirst and second down
    #1
    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
TTU −27.8
Projected total

Model prediction

how the number is built
Power rating (Elo)
TTU 1845
ASU 1531
Projected spread
TTU -27.8
incl. home edge
Model pick
TTU
97% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
97%
TTU (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (TTU Elo 1845, ASU Elo 1531 for reference), with home-field advantage. That projects TTU -27.8 (97% 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

    ASU15th69thTTU
    TTU94th29thASU
  • Through the air

    ASU8th121stTTU
    TTU59th14thASU
  • On the ground

    ASU58th13thTTU
    TTU75th49thASU
  • Staying on the field

    ASU92nd54thTTU
    TTU47th22ndASU
  • Taking care of it

    ASU124th76thTTU
    TTU47th109thASU

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
ASU2026 season · national rank shownTTU
525.015th
Total yards / game
411.572nd
7.815th
Yards / play
5.694th
343.08th
Passing yards / game
247.559th
182.058th
Rushing yards / game
164.075th
36.4%92nd
3rd down %
46.4%47th
221.517th
Yards allowed / game
333.076th
25.0%22nd
3rd down % allowed
33.3%54th
-4133rd
Turnover margin
069th
6.561st
Penalties / game
6.046th

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
ASU TTU
+11.1 (#32)CORE overall+10.5 (#36)
+2 / -9offense / defense+2 / -8
0.46points / drive2.69
2.83allowed / drive2.00
15%three-and-outs31%
+3pass over expected-2

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 Arizona State vs. Texas Tech?

Gridpex's model favors Texas Tech with a 97% win probability.

What's the predicted spread for Arizona State vs. Texas Tech?

The model projects Texas Tech by 27.8.

What time is Arizona State vs. Texas Tech and what channel is it on?

Time TBD, at Jones AT&T 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.