The SportsWire

Notre Dame

2026 · week 6 result vs Stanford

Updated Tue Oct 13, 7:55 PM CT

Next up projections

at BYU

Week 7 · Sat Oct 17, 6:30 PM CT / 7:30 PM ET · LaVell Edwards Stadium (Provo) · BYU (FBS, Big 12)

Our call: Notre Dame by 9.1Strong

All three models favor Notre Dame. The line, shown for comparison only, has Notre Dame by 12.5.

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 ›

Big game prediction page: at BYU ›

Regression watch: Last game's 51-point win matched the play (score -5 against play), inside the 7-point band: no flag. More ›

Schedule: Played the 35th-toughest schedule in FBS so far (average opponent rating -1.3); 44th-toughest remaining (+6.1). More ›

Opponents by our model's rating 6 played · 6 left
  • Week 1 vs Wisconsin (+5.3)
  • Week 2 vs Rice (-11.8)
  • Week 3 vs Michigan State (-0.6)
  • Week 4 at Purdue (+2.0)
  • Week 5 at North Carolina (+5.0)
  • Week 6 vs Stanford (-7.6)
  • Remaining:
  • Week 7 at BYU (+18.2)
  • Week 9 vs Navy (-8.6)
  • Week 10 vs Miami (+23.3)
  • Week 11 vs Boston College (-4.4)
  • Week 12 vs SMU (+8.5)
  • Week 13 at Syracuse (-0.3)

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.

Series: Notre Dame leads 7–2 · last: Notre Dame 28–20, 2022 · Notre Dame has won 4 straight

Series history 9 meetings since 1992
  • All-time: Notre Dame leads 7–2 (9 meetings since 1992)
  • Last meeting: Notre Dame 28–20, 2022, neutral site
  • Streak: Notre Dame has won 4 straight
  • At LaVell Edwards Stadium: BYU leads 1–0 (1 meeting)
  • Biggest margins: Notre Dame 42–16 (1992) · BYU 21–14 (1994)
  • Since 2000: Notre Dame leads 5–1 (6 meetings)
SeasonResultSite
2022Notre Dame 28–20neutral site
2013Notre Dame 23–13Notre Dame Stadium
2012Notre Dame 17–14Notre Dame Stadium
2005Notre Dame 49–23Notre Dame Stadium
2004BYU 20–17LaVell Edwards Stadium
2003Notre Dame 33–14Notre Dame Stadium
RatingNotre DameBYU
SP+ +28.0 #3 +21.5 #11
Elo 2097 1725

Projected margin for Notre Dame · three models and the line, side by side

SP+
+4.0
Notre Dame +28.0 vs BYU +21.5
avg miss 10.6
closest 47/79
Elo
+12.4
Notre Dame 2097 vs BYU 1725
avg miss 12.3
closest 33/79
Line · benchmark
+12.5
pregame line
avg miss 11.1
Our model · experimental
+11.0
Notre Dame +31.7 vs BYU +18.2
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 Notre Dame'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 (BYU); 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 · Notre Dame 6 games, BYU 5 games

Edge: Notre Dame wins 4 of 5

Notre Dame moves the ball better, stops plays better, is more disruptive and allows fewer big plays. BYU has the edge on big plays.

Notre Damelonger bar = betterBYU

Run game, head to head · season to date

Notre Dame's runs work 54% of the time; BYU's run defense allows 35%. BYU's runs work 54% of the time; Notre Dame's run defense allows 25%.

More numbers
MeasureNotre DameBYUEdge
Off. success rate53.9%50.9%Notre Dame
Off. explosiveness1.151.22BYU
Def. success rate allowed31.1%34.2%Notre Dame
Def. explosiveness allowed1.151.22Notre Dame
Havoc created22.8%20.2%Notre Dame
  • Run game, success rate: Notre Dame offense 53.7% · BYU defense allows 35.0% · edge: Notre Dame
  • Run game, success rate: BYU offense 53.7% · Notre Dame defense allows 25.4% · edge: Notre Dame
  • Run game, PPA per play: Notre Dame offense +0.27 · BYU defense allows -0.07 · edge: even
  • Run game, PPA per play: BYU offense +0.34 · Notre Dame defense allows -0.23 · edge: even
  • 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 AI-assisted 1

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

"AI-assisted" means gathered by an AI model from public reporting. When a conference publishes an official availability list for Notre Dame's game (the SEC, Big Ten and ACC do, for conference games), this section shows that instead, labeled "Official report". More ›

  • Quincy Porter WRinjuryOut
    knee
    Noted Fri Oct 9, 6:22 AM CT.
    Out for the season after a knee injury.
    Sources (2): [1] [2] · as of Fri Oct 9, 6:22 AM CT / 7:22 AM ET

Coverage (AI-assisted) · 33

Gathered by an AI model from public posts, not from CollegeFootballData. Not used in any number on this page. Verify against the linked sources. Beat coverage checked Mon Oct 12, 7:30 PM CT.

3 entries about games now final not shown.

Score and result

Notre Dame 58, Stanford 7W

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

Projected: SP+ n/a · Elo +36.9 ✓ · Our model +37.8 ✓ · the line (benchmark) n/a · actual +51 · Closest: Our model

Notre Dame was never below 58% and won Notre Dame was never below 58% and won Q1 Q2 Q3 Q4 100% 50% 0% 58–7
  1. Q1 13:07 · 2nd & 2 · 68% → 79%
    (13:07) No Huddle-Shotgun #2 N.James Jr. rush right for 2 yards gain to the STAN00 TOUCHDOWN, clock 13:06 #35 S.Porath kick attempt good (H: #39 J.Scaife, LS: #96 J.Vinci)
  2. Q1 14:48 · 1st & 10 · 58% → 67%
    (14:48) Shotgun #2 N.James Jr. rush left for 3 yards gain to the STAN15 (#0 J.Galvan)
  3. Q1 · 2nd & 8 · 88% → 97%
    J. Walton run for 97 yds, for a TD (S. Porath KICK) (S. Porath PAT MISSED)

Home at Notre Dame Stadium · Sat Oct 10, 2:30 PM CT / 3:30 PM ET · vs Stanford (FBS, ACC)

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

Verdict

The 51-point win matched the play: Notre Dame's per-play edge (PPA (expected points added per play) +0.57 vs -0.26, success rate 56% vs 25%) implies roughly a +56 margin.

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

Efficiency

Edge: Notre Dame won 4 of 4

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

Notre Damelonger bar = betterStanford
More numbers

Notre Dame ran 78 plays, Stanford 44. Each number is that team's offense; Stanford's column is also what Notre Dame's defense allowed.

MeasureNotre DameStanfordEdge
PPA / play+0.57-0.26Notre Dame
Total PPA+44.1-11.4Notre Dame
Success rate56.4%25.0%Notre Dame
Explosiveness1.391.20Notre Dame
Havoc created11.4%8.0%Notre Dame
  • 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

Notre Dame 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
C.J. Carr QB 100% +8.0 +0.53

Rushing

PlayerRush usagePPA/play
Jonaz Walton RB 17% +6.6 +2.20
Nolan James Jr. RB 33% +4.9 +0.82
C.J. Carr QB 11% +1.9 +0.96
Aneyas Williams RB 39% -0.6 -0.09

Receiving

PlayerTarget usagePPA/play
Aneyas Williams RB 7% +6.6 +6.56
Jaden Greathouse WR 33% +3.3 +0.65
Jordan Faison WR 13% +0.6 +0.28
Mylan Graham WR 7% -0.1 -0.06
By play type
MeasureNotre DameStanfordEdge
Rushing PPA+0.52-0.46Notre Dame
Rushing success58.3%19.0%Notre Dame
Passing PPA+0.59+0.02Notre Dame
Passing success55.6%31.8%Notre Dame
Standard downs PPA+0.31-0.11Notre Dame
Standard downs success58.3%33.3%Notre Dame
Passing downs PPA+1.41-0.58Notre Dame
Passing downs success50.0%7.1%Notre Dame

Havoc detail — Notre Dame defense: TFL 0, sacks 0, takeaways 2, breakups 3 on 44 snaps. Stanford defense: TFL 3, sacks 0, takeaways 0, breakups 3 on 75 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.

◀ Notre DameStanford ▶
  • 13Drives12
  • 10Scoring opportunities9
  • 5.8Points per opportunity0.8
  • own 35Avg. starting field positionown 21
By half

Shown because the game changed between halves: the per-play edge swung by 0.79 points a play (Notre Dame +1.14 in the first half, +0.35 in the second). Overtime counts with the second half.

Notre DameStanford
1st2nd1st2nd
PPA / play+0.63+0.48-0.51+0.14
Success rate48%64%22%35%
Plays33422717

Recruiting

Notre Dame's 2026 class: #5 · 299.28 points.

MeasureNotre DameStanford
Talent composite 953.0
#6 of 138
705.8
#50 of 138
Transfer portal · 7 in, 16 out

Arrivals (7)

PlayerFrom★Elig.Date
DJ McKinney CB Colorado 4 Immediate Jan 9, 2026
Quincy Porter WR Ohio State 4 Immediate Jan 12, 2026
Keon Keeley DL Alabama 4 Immediate Jan 12, 2026
Jayden Sanders CB Michigan 4 Immediate Jan 12, 2026
Francis Brewu DL Pittsburgh 4 Immediate Jan 13, 2026
Mylan Graham WR Ohio State 4 Immediate Jan 13, 2026
Tionne Gray DL Oregon 4 Immediate Jan 15, 2026

Departures (16)

PlayerTo★Elig.Date
Kenny Minchey QB Kentucky 4 Immediate Jan 6, 2026
Ben Minich S Miami (OH) 4 Immediate Jan 8, 2026
Armel Mukam DL undecided 4 Withdrawn Jan 11, 2026
Junior Tuihalamaka EDGE LSU 4 Immediate Aug 20, 2026
Chance Tucker CB undecided 3 Immediate Dec 24, 2025
Joshua Burnham EDGE Indiana 3 Immediate Jan 5, 2026
Gi'Bran Payne RB Cincinnati 3 Immediate Jan 5, 2026
JaDon Blair S Missouri 3 Immediate Jan 7, 2026
Cree Thomas CB Colorado 3 Immediate Jan 7, 2026
Karson Hobbs CB Florida State 3 Immediate Jan 9, 2026

+6 more not shown (16 total).

2026 commits · 30
PlayerHometown★Rating
Rodney Dunham EDGE Charlotte, NC 5 0.9948
Ian Premer TE Great Bend, KS 5 0.9896
Khary Adams CB Towson, MD 5 0.9880
Joey O'Brien S Glenside, PA 5 0.9871
Ayden Pouncey S Winter Park, FL 4 0.9672
Javian Osborne RB Forney, TX 4 0.9500
Jonaz Walton RB Carrollton, GA 4 0.9472
Ebenezer Ewetade EDGE Garner, NC 4 0.9466
Grayson McKeogh OT Glenside, PA 4 0.9442
Kaydon Finley WR Aledo, TX 4 0.9417
Elijah Golden DL Sarasota, FL 4 0.9322
Ben Nichols IOL Davison, MI 4 0.9252
Tyler Merrill IOL Mechanicsburg, PA 4 0.9249
Teddy Jarrard QB Kennesaw, GA 4 0.9167
Gregory Patrick OT Portage, MI 4 0.9162

+15 more not shown (30 total).

Returning production

Share of last season's production returning for Notre Dame in 2026.

Unit% PPAPPAUsage
Overall51.2%175.646.1%
Passing90.7%105.892.2%
Receiving37.6%62.433.6%
Rushing12.3%7.416.7%

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.