The SportsWire

Wake Forest

2026 · week 6 result vs NC State

Updated Tue Oct 13, 7:56 PM CT

Next up projections

at California

Week 7 · Sat Oct 17, 9:30 PM CT / 10:30 PM ET · California Memorial Stadium (Berkeley) · California (FBS, ACC)

Our call: Wake Forest by 9.9Strong

All three models favor Wake Forest. The line, shown for comparison only, has Wake Forest by 8.5.

The average of SP+, Elo and Our model; the line is left out and kept as a benchmark. Toss-up under 3 points, Lean 3 to 7, Strong 7 and over. More ›

Game page: at California ›

Regression watch: Last game's 24-point win matched the play (score +5 against play), inside the 7-point band: no flag. More ›

Schedule: Played the 17th-toughest schedule in FBS so far (average opponent rating +3.0); 79th-toughest remaining (-3.8). More ›

Opponents by our model's rating 6 played · 6 left
  • Week 1 vs Akron (-13.9)
  • Week 2 at Purdue (+2.0)
  • Week 3 vs Miami (+23.3)
  • Week 4 at Louisville (+9.8)
  • Week 5 vs Stanford (-7.6)
  • Week 6 at NC State (+4.6)
  • Remaining:
  • Week 7 at California (-0.6)
  • Week 9 vs Virginia (+3.6)
  • Week 10 vs Merrimack (-32.8) · FCS, pooled
  • Week 11 at SMU (+8.5)
  • Week 12 at Georgia Tech (-1.4)
  • Week 13 vs Duke (-0.2)

Each opponent's rating from our model's week 7 snapshot, in points against an average FBS team; the averages are ranked among the 138 FBS teams. Played means through week 6. Experimental, like the Our model card.

RatingWake ForestCalifornia
SP+ +10.5 #34 -2.5 #87
Elo 1715 1347

Projected margin for Wake Forest · three models and the line, side by side

SP+
+10.5
Wake Forest +10.5 vs California -2.5
avg miss 10.6
closest 47/79
Elo
+12.2
Wake Forest 1715 vs California 1347
avg miss 12.3
closest 33/79
Line · benchmark
+8.5
pregame line
avg miss 11.1
Our model · experimental
+7.0
Wake Forest +8.9 vs California -0.6
prior 50%
avg miss 11.8
closest 14/40
How to read this
  • SP+ is a rating of how good a team is, in points better or worse than an average team, built from its play-by-play, so the gap between two teams' ratings is a projected margin.
  • Elo is a rating that goes up with every win and down with every loss, more for beating a strong team, less for beating a weak one. The gap between two ratings is divided by 25 to turn it into points.
  • The line is the pregame line, the margin the market expected, shown from Wake Forest's side. It is not one of the models: it is shown for comparison only, as the benchmark the models and Our call are measured against.
  • Our model is this site's own experimental rating, built from each team's play-by-play adjusted for who it has played, blended with a preseason estimate from last season, returning players and recruiting. "prior 67%" means 67 percent of the rating is still that preseason estimate; the share shrinks as games are played.
  • In SP+, Elo and our model the home team gets 2.5 points (California); the line already includes the market's own home edge. The conversion to points is approximate.
  • "avg miss 9.8" under a card is how far that model's projections have been from the actual margins this season, on average, in points. "closest 10/39" is how many of the season's 39 finished games that model came closest on (a tie counts for every tied model); the line, a benchmark, shows its average miss only. Shown once a model has 20 finished games.
  • Our call, above the cards, is the site's prediction: the simple average of the SP+, Elo and our model margins. The pregame line is left out of it and kept as a benchmark to measure it against. Toss-up means the average is under 3 points, Lean 3 to 7, Strong 7 or more. It is made only when all three of those models have a number, and it is scored after the game like the models.
  • Each card is one method's estimate, shown side by side; when they disagree, that is worth knowing.
  • After a game, the sentence under the score shows every model and the line against the actual margin: ✓ when a model named the winner, ✗ when it did not (the line, a benchmark, gets no mark), and Closest: the model nearest the final margin among those present, never the line (an exact tie goes to the first listed). The "closest 10/39" counts keep the accuracy report's scoring of SP+ and Elo, where a tie credits both.
  • Metrics explained: the four models and their track record ›

Efficiency matchup · season to date · Wake Forest 6 games, California 6 games

Even matchup split 2–2

Wake Forest moves the ball better and allows fewer big plays. California stops plays better and has the edge on big plays.

Wake Forestlonger bar = betterCalifornia

Run game, head to head · season to date

Wake Forest's runs work 48% of the time; California's run defense allows 41%. California's runs work 38% of the time; Wake Forest's run defense allows 36%.

More numbers
MeasureWake ForestCaliforniaEdge
Off. success rate48.1%38.5%Wake Forest
Off. explosiveness1.301.31California
Def. success rate allowed42.5%37.1%California
Def. explosiveness allowed1.121.41Wake Forest
Havoc created14.4%14.4%–
  • Run game, success rate: Wake Forest offense 47.9% · California defense allows 40.8% · edge: Wake Forest
  • Run game, success rate: California offense 38.0% · Wake Forest defense allows 36.1% · edge: Wake Forest
  • Run game, PPA per play: Wake Forest offense +0.20 · California defense allows +0.22 · edge: Wake Forest
  • Run game, PPA per play: California offense -0.08 · Wake Forest defense allows -0.03 · 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 43%, PPA per play +0.08, 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 ›

Injuries

No injury report yet for this game. First reports usually come Wednesday.

Coverage (AI-assisted) · 4

Gathered by an AI model from public posts, not from CollegeFootballData. Not used in any number on this page. Verify against the linked sources.

Score and result

Wake Forest 38, NC State 14W

Game page: the call before kickoff and how each model did ›

Projected: SP+ n/a · Elo +3.6 ✓ · Our model -1.1 ✗ · the line (benchmark) n/a · actual +24 · Closest: Elo

Away at Carter-Finley Stadium · Sat Oct 10, 11:00 AM CT / 12:00 PM ET · vs NC State (FBS, ACC)

Opponent for every game-level number: NC State (FBS, ACC).

Verdict

The 24-point win matched the play: Wake Forest's per-play edge (PPA (expected points added per play) +0.22 vs -0.05, success rate 44% vs 40%) implies roughly a +19 margin.

The verdict compares the score with the margin the plays earned. How it is reached ›

Efficiency

Edge: Wake Forest won 4 of 4

Wake Forest moved the ball better, got more from each play, hit the bigger plays and was more disruptive.

Wake Forestlonger bar = betterNC State
More numbers

Wake Forest ran 72 plays, NC State 63. Each number is that team's offense; NC State's column is also what Wake Forest's defense allowed.

MeasureWake ForestNC StateEdge
PPA / play+0.22-0.05Wake Forest
Total PPA+16.1-3.0Wake Forest
Success rate44.4%39.7%Wake Forest
Explosiveness1.271.16Wake Forest
Havoc created17.5%5.7%Wake Forest
  • Success rate: how often a play did its job, gaining enough yards to keep the offense on schedule.
  • Explosiveness: how big a team's successful plays were on average; a higher number means more big gains.
  • Havoc: how often the defense blew up a play with a sack, a tackle for loss, a takeaway or a pass broken up. Counted from the play-by-play, so it is approximate.
  • PPA (predicted points added): how many points an average play was worth to the offense. Total PPA adds up every play, and is what the Verdict compares with the score.

How to read this

  • The four rows at the top compare the two offenses in this game; the longer bar is the better number, scaled within each row. A number at or below zero draws no bar.
  • A check marks the better side of a row. The line above the rows counts them: it describes how the game was played, not who won it.
  • Metrics explained ›
Top performers

Wake Forest players by cumulative PPA in this game. Usage is the share of the team's plays of that type involving the player. Receiving is passing-play PPA for non-quarterbacks.

Passing

PlayerPass usagePPA/play
Giovanni Lopez QB 97% +24.3 +0.71

Rushing

PlayerRush usagePPA/play
Giovanni Lopez QB 24% +5.0 +0.72
Deuce Lawrence RB 28% +3.3 +0.41
Jamar Searcy RB 7% -0.9 -0.43
Jack Foley WR 3% -1.8 -1.76

Receiving

PlayerTarget usagePPA/play
Carlos Hernandez WR 37% +14.0 +1.07
Jack Foley WR 29% +12.6 +1.26
Matthew Lusardi TE 3% +1.9 +1.90
Drayden Dickmann WR 6% +0.5 +0.23
By play type
MeasureWake ForestNC StateEdge
Rushing PPA-0.05-0.28Wake Forest
Rushing success37.1%35.0%Wake Forest
Passing PPA+0.67+0.10Wake Forest
Passing success54.3%42.9%Wake Forest
Standard downs PPA+0.04-0.08Wake Forest
Standard downs success44.7%47.6%NC State
Passing downs PPA+0.57+0.02Wake Forest
Passing downs success44.0%23.8%Wake Forest

Havoc detail — Wake Forest defense: TFL 5, sacks 3, takeaways 1, breakups 2 on 63 snaps. NC State defense: TFL 2, sacks 1, takeaways 0, breakups 1 on 70 snaps.

Drives

A scoring opportunity is a drive that reaches the opponent's 40-yard line or scores; points per opportunity is the points those drives produced divided by their number.

◀ Wake ForestNC State ▶
  • 10Drives9
  • 9Scoring opportunities8
  • 4.2Points per opportunity1.8
  • own 32Avg. starting field positionown 27
By half

Shown because the game changed between halves: the per-play edge swung by 1.23 points a play (Wake Forest -0.31 in the first half, +0.92 in the second). Overtime counts with the second half.

Wake ForestNC State
1st2nd1st2nd
PPA / play+0.07+0.55+0.38-0.37
Success rate37%54%52%30%
Plays35352933

Recruiting

Wake Forest's 2026 class: #39 · 217.86 points.

MeasureWake ForestNC State
Talent composite 680.9
#63 of 138
757.1
#32 of 138
Transfer portal · 24 in, 23 out

Arrivals (24)

PlayerFrom★Elig.Date
Chase Tyler WR Duke 3 Immediate Jan 5, 2026
Josh Patterson S Iowa State 3 Immediate Jan 5, 2026
KD Daniels RB Florida 3 Immediate Jan 5, 2026
Bernard Causey III CB Georgia State 3 Immediate Jan 5, 2026
Tolu Olajide OT New Hampshire 3 Immediate Jan 6, 2026
Will Way IOL Weber State 3 Immediate Jan 7, 2026
D.J. Johnson EDGE New Hampshire 3 Immediate Jan 7, 2026
Gio Lopez QB North Carolina 3 Immediate Jan 8, 2026
Brian Blades ll CB Florida International 3 Immediate Jan 8, 2026
Ryan Berger OT Oregon State 3 Immediate Jan 8, 2026

+14 more not shown (24 total).

Departures (23)

PlayerTo★Elig.Date
Mateen Ibirogba DL Texas Tech 4 Immediate Jan 7, 2026
Chris Barnes WR Oklahoma State 4 Immediate Jan 11, 2026
Melvin Siani OT Texas 4 Immediate Jan 15, 2026
Sterling Berkhalter WR Texas 4 Immediate Jan 15, 2026
Tate Carney RB undecided 3 Immediate Dec 10, 2025
Ka'Shawn Thomas DL undecided 3 Immediate Dec 10, 2025
Darius Jones LB undecided 3 Immediate Dec 14, 2025
Cole Funderburk EDGE Marshall 3 Immediate Jan 6, 2026
Micah Mays Jr. WR Florida 3 Immediate Jan 7, 2026
Ben Grice WR Rice 3 Immediate Jan 10, 2026

+13 more not shown (23 total).

2026 commits · 31
PlayerHometown★Rating
Grant Lawless QB Denver, NC 4 0.9161
Kyndall McCaleb RB Painesville, OH 4 0.9038
Micheal Ahoua ATH Avon, CT 4 0.8952
Sefa Sackey EDGE Cincinnati, OH 3 0.8900
Monroe Partin LB Daphne, AL 3 0.8878
Lucas Smalls-Allen DL Roswell, GA 3 0.8844
Walker Bryson ATH Rabun Gap, GA 3 0.8822
AJ Marks CB Bradenton, FL 3 0.8811
Mahamadou Siby S Trophy Club, TX 3 0.8811
Deuce Lawrence RB Thomasville, GA 3 0.8789
Langston Hogg IOL Cartersville, GA 3 0.8744
Fletcher Turk OT Dacula, GA 3 0.8733
Isaac Nelson S Carmel, IN 3 0.8733
Somad Eaddy ATH Greer, SC 3 0.8711
Dominick Barry TE Greenwood, IN 3 0.8667

+16 more not shown (31 total).

Returning production

Share of last season's production returning for Wake Forest in 2026.

Unit% PPAPPAUsage
Overall14.2%44.112.1%
Passing22.9%21.11.2%
Receiving13.1%20.027.6%
Rushing4.6%3.010.2%

A figure above 100% or below 0% is expected when last season's returning players had negative PPA in that phase, since PPA can be negative.