The SportsWire

#11Wake Forest at #25SMU

Prediction · week 11, 2026 · Sat Nov 14, 11:00 AM CT · Gerald J. Ford Stadium

Updated Tue Nov 10, 6:06 AM CT

#11 Wake Forest8-1 · 5-1 ACC · CFP #16
Upcoming
#25 SMU7-2 · 5-2 ACC

Sat Nov 14, 11:00 AM CT · Gerald J. Ford Stadium

Our call: Wake Forest by 2.1 · 55% pregame win chance

WAKEWake Forest · 8-1 Sat Nov 14, 11:00 AM CT SMUSMU · 7-2

55%Our win chance45%

Our win chance: Wake Forest 55% · SMU 45% · experimental, see how it is tested

Make your pick →

Model comparison

9 of 10 models favor Wake Forest

ModelSaysWin chanceUse this
The Margin
The Margin's model
Wake Forest by 4.8Wake Forest 64%Use this
SRS
Wake Forest +14.3 vs SMU +7.9
Wake Forest by 3.9Wake Forest 61%Use this
ESPN FPI
Wake Forest +18.0 vs SMU +11.9
Wake Forest by 3.6Wake Forest 60%Use this
Our model · experimental
Wake Forest +15.7 vs SMU +10.0
Wake Forest by 3.2Wake Forest 59%Use this
Market
the market's pregame margin
Wake Forest by 3Wake Forest 59%Use this
Sagarin
Wake Forest +85.2 vs SMU +80.6
Wake Forest by 2.0Wake Forest 56%Use this
SP+
Wake Forest +20.0 vs SMU +15.8
Wake Forest by 1.7Wake Forest 55%Use this
Elo
Wake Forest 1877 vs SMU 1783
Wake Forest by 1.3Wake Forest 54%Use this
Sonny Moore
Wake Forest +88.3 vs SMU +84.6
SMU by 0.2SMU 51%Use this
Record
SMU 7-2, Wake Forest 8-1
Wake Forest (better record)–Use this
Our call
average of SP+, Elo and Our model
Wake Forest by 2.1Wake Forest 55%Use this

Each margin is from the same weekly ratings the team pages use: SP+ and Elo from their rating gap, the home team given 2.5 points (none at a neutral site); Our model is this site's experimental rating; Market is the margin the market expected before kickoff; ESPN FPI, SRS, Sagarin and Sonny Moore are rating gaps like SP+'s (each with its own home field), The Margin is that site's own model, and Record names the team with the better record (the home team on equal records). How these work ›

Matchup efficiency

Efficiency matchup · season to date · SMU 9 games, Wake Forest 9 games

Edge: Wake Forest wins 4 of 5

Wake Forest moves the ball better, stops plays better, has the edge on big plays and allows fewer big plays. SMU is more disruptive.

SMUlonger bar = betterWake Forest
  • 50% Moves the ballsuccessful plays ✓52%
  • 39% Stops playssuccessful plays allowed ✓38%
  • 17%✓ Disruptionsacks, TFLs, turnovers 15%
  • 1.26 Big playson offense ✓1.31
  • 1.30 Big plays allowedon defense ✓1.12

Run game, head to head · season to date

SMU's runs work 49% of the time; Wake Forest's run defense allows 34%. Wake Forest's runs work 52% of the time; SMU's run defense allows 44%.

More numbers
MeasureSMUWake ForestEdge
Off. success rate49.9%51.8%Wake Forest
Off. explosiveness1.261.31Wake Forest
Def. success rate allowed39.2%38.0%Wake Forest
Def. explosiveness allowed1.301.12Wake Forest
Havoc created17.4%15.3%SMU
  • Run game, success rate: SMU offense 48.7% · Wake Forest defense allows 34.0% · edge: even
  • Run game, success rate: Wake Forest offense 52.2% · SMU defense allows 43.8% · edge: Wake Forest
  • Run game, PPA per play: SMU offense +0.10 · Wake Forest defense allows -0.07 · edge: Wake Forest
  • Run game, PPA per play: Wake Forest offense +0.30 · SMU defense allows +0.12 · edge: Wake Forest
  • Success rate: how often a play does its job, gaining enough yards to keep the offense on schedule.
  • Explosiveness: how big a team's successful plays are on average; a higher number means more big gains.
  • Havoc: how often the defense blows up a play with a sack, a tackle for loss, a takeaway or a pass broken up.
  • PPA (predicted points added): how many points an average play is worth to the offense; above zero is good for the offense, below zero good for the defense.

How to read this

  • Each row compares the two teams on one measure of how well they have played this season, offense and defense, using every game so far with garbage time (plays late in a decided game) left out.
  • The run game rows pair one team's rushing offense with the other's run defense. The row goes to whichever side is further from the FBS baseline this season, the offense by how far it runs above it, the defense by how much less it allows (baseline: run success rate 42%, PPA per play +0.07, the midpoint of what FBS offenses gain and FBS defenses allow, since both also play FCS teams), so two strong sides or two weak ones are judged by which is the more so. Edges within 3 points of success rate or 0.05 PPA are even. A strong run offense against a weak run defense is where a team can control the game on the ground.
  • In the five rows at the top the longer bar is the better number: bars are scaled within each row, and in the two "allowed" rows the lower number gets the longer bar.
  • Success rate is the share of plays that kept the offense on schedule (half the yards needed on first down, most of them on second, all of them on third or fourth). Explosiveness is how big the successful plays were, on average, in points. Havoc is the share of the opponent's snaps the defense wrecked: a tackle for loss, a sack, a takeaway or a pass broken up.
  • "Allowed" rows are what each defense gave up, so the lower value wins.
  • These are not adjusted for who each team has played, so a light schedule flatters a team, and early in the season they rest on very few games.
  • Metrics explained: success rate, explosiveness and havoc ›

The prediction

SP+, Elo, Our model, ESPN FPI, SRS, Sagarin, The Margin, Record and Market favor Wake Forest; Sonny Moore favors SMU.

SP+ has Wake Forest by 1.7, Elo has Wake Forest by 1.3, Our model has Wake Forest by 3.2, ESPN FPI has Wake Forest by 3.6, SRS has Wake Forest by 3.9, Sagarin has Wake Forest by 2.0, Sonny Moore has SMU by 0.2, The Margin has Wake Forest by 4.8, and Market has Wake Forest by 3.0. The furthest apart are 5.0 points from each other.

Last 4 meetings

SMU leads 3–1 · last: Wake Forest 13–12, 2025

SeasonResultSite
2025Wake Forest 13–12Allegacy Federal Credit Union Stadium
1975SMU 14–7—
1972SMU 56–10—
1949SMU 13–7—

Team pages