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Tulane vs. South Florida Prediction, Odds & Pick

Prediction, odds and the model's read

Raymond James StadiumConference game

Our model's read

Model win probability
USF 73%
Model line
USF −10
Gridpex modelTULN 27% · USF 73%
Pick South FloridaModel line USF −10

Scouting report

2026 projection · last season, roster and staff

Where South Florida gets at Tulane: 15th at staying out of the backfield, against a unit 94th at stuffing runs at the line. Tulane projects no clear way in against South Florida. South Florida is also 36th on first and second down, against a unit 98th.

HowUSFattacksTULN

  • 1

    Expect clean run lanes

    getting stopped at the line · projected

    USF
    #15 of 138
    TULN
    #94 of 138
  • 2

    Win first and second down

    first and second down · projected

    USF
    #36 of 138
    TULN
    #98 of 138
  • 3

    Lean on the run

    moving the ball on the ground · projected

    USF
    #37 of 138
    TULN
    #90 of 138

The two teams

Tulane

run-leaning

Tulane runs it: Will Hall's offenses have been run-leaning across 4 seasons. The strengths are defensive, led by 23rd at keeping everything in front of them. The way in is 116th at hitting chunk plays.

On fourth down he goes for it about as often as his peers do from the same spots (−1.5%). Against what the expected-points model recommends he is −27.2% — the profession as a whole is negative on this.

Tulane has played 1 game 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 strengths

  • Defensehitting chunk plays
    #23
    projected

Projected soft spots

  • Offensehitting chunk plays
    #116
    projected

South Florida

South Florida is in year 1 under Brian Hartline. The strengths are on both sides of the ball, led by 15th at staying out of the backfield. The way in is 110th at keeping everything in front of them.

South Florida 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

  • Offensegetting stopped at the line
    #15
    projected
  • Defensegetting stopped at the line
    #26
    projected
  • Offensehitting chunk plays
    #29
    projected

Projected soft spots

  • Defensehitting chunk plays
    #110
    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
USF −10
Projected total

Model prediction

how the number is built
Power rating (Elo)
USF 1682
TULN 1529
Projected spread
USF -10
incl. home edge
Model pick
USF
73% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
73%
USF (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (USF Elo 1682, TULN Elo 1529 for reference), with home-field advantage. That projects USF -10 (73% 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

    TULN118th85thUSF
    USF106th67thTULN
  • Through the air

    TULN91st83rdUSF
    USF109th31stTULN
  • On the ground

    TULN129th101stUSF
    USF105th130thTULN
  • Staying on the field

    TULN126th59thUSF
    USF56th103rdTULN
  • Taking care of it

    TULN31st14thUSF
    USF1st88thTULN

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
TULN2026 season · national rank shownUSF
258.0127th
Total yards / game
288.5119th
4.6118th
Yards / play
5.2106th
204.091st
Passing yards / game
169.5109th
54.0129th
Rushing yards / game
119.0105th
21.4%126th
3rd down %
45.8%56th
381.096th
Yards allowed / game
364.087th
44.4%103rd
3rd down % allowed
32.1%59th
066th
Turnover margin
+49th
15.0138th
Penalties / game
3.515th

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
TULN USF
-1.1 (#74)CORE overall+2.6 (#62)
-6 / -5offense / defense-2 / -5
0.25points / drive2.11
1.42allowed / drive1.11
42%three-and-outs22%
-4pass over expected-9

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 Tulane vs. South Florida?

Gridpex's model favors South Florida with a 73% win probability.

What's the predicted spread for Tulane vs. South Florida?

The model projects South Florida by 10.0.

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

Time TBD, at Raymond James 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.