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Wisconsin vs. Maryland Prediction, Odds & Pick

Prediction, odds and the model's read

SECU StadiumConference game

Our model's read

Model win probability
MD 67%
Model line
MD −6.9
Gridpex modelWIS 33% · MD 67%
Pick MarylandModel line MD −6.9

Scouting report

2026 projection · last season, roster and staff

Where Maryland gets at Wisconsin: 47th at keeping a clean pocket, against a unit 84th at generating havoc. Wisconsin projects no clear way in against Maryland.

HowMDattacksWIS

  • 1

    Expect a clean pocket

    sacks and tackles for loss · projected

    MD
    #47 of 138
    WIS
    #84 of 138

The two teams

Wisconsin

balanced

Wisconsin is in year 4 under Luke Fickell, whose offenses have been balanced. The strengths are defensive, led by 16th at keeping everything in front of them. The way in is 125th at moving the ball on the ground, and they are 125th on first and second down.

On fourth down he goes for it about as often as his peers do from the same spots (−0.5%). Against what the expected-points model recommends he is −28.4% — the profession as a whole is negative on this.

Wisconsin 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

  • Defensehitting chunk plays
    #16
    projected
  • Defensegetting stopped at the line
    #30
    projected

Projected soft spots

  • Offensemoving the ball on the ground
    #125
    projected
  • Offensefirst and second down
    #125
    projected
  • Offensethrowing it
    #123
    projected

Maryland

heavily pass-leaning

Maryland throws it: Mike Locksley's offenses have been heavily pass-leaning across 6 seasons. The strengths are defensive, led by 14th at keeping everything in front of them. The way in is 109th on first and second down.

On fourth down he goes for it about as often as his peers do from the same spots (+1.0%). Against what the expected-points model recommends he is −21.6% — the profession as a whole is negative on this.

Maryland 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 strengths

  • Defensehitting chunk plays
    #14
    projected
  • Defenseturning trips inside the 40 into points
    #33
    projected
  • Defensethrowing it
    #35
    projected

Projected soft spots

  • Offensefirst and second down
    #109
    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
MD −6.9
Projected total

Model prediction

how the number is built
Power rating (Elo)
MD 1495
WIS 1475
Projected spread
MD -6.9
incl. home edge
Model pick
MD
67% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
67%
MD (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (MD Elo 1495, WIS Elo 1475 for reference), with home-field advantage. That projects MD -6.9 (67% 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

    WIS67th5thMD
    MD26th81stWIS
  • Through the air

    WIS97th8thMD
    MD21st63rdWIS
  • On the ground

    WIS85th5thMD
    MD23rd87thWIS
  • Staying on the field

    WIS68th29thMD
    MD17th39thWIS
  • Taking care of it

    WIS48th22ndMD
    MD1st127thWIS

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
WIS2026 season · national rank shownMD
344.5105th
Total yards / game
560.59th
6.167th
Yards / play
7.226th
195.097th
Passing yards / game
315.521st
149.585th
Rushing yards / game
245.023rd
41.7%68th
3rd down %
55.2%17th
326.071st
Yards allowed / game
154.04th
29.2%39th
3rd down % allowed
26.9%29th
-2109th
Turnover margin
+411th
5.033rd
Penalties / game
5.538th

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
WIS MD
-0.8 (#73)CORE overall+5.1 (#52)
-6 / -6offense / defense+1 / -5
0.67points / drive3.46
3.78allowed / drive1.27
22%three-and-outs18%
-11pass over expected+19

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 Wisconsin vs. Maryland?

Gridpex's model favors Maryland with a 67% win probability.

What's the predicted spread for Wisconsin vs. Maryland?

The model projects Maryland by 6.9.

What time is Wisconsin vs. Maryland and what channel is it on?

Time TBD, at SECU 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.