Sat, Nov 21 2026
·
Week 12
·
🏟 Notre Dame Stadium
Notre Dame, IN
·
Turf
·
80,795 cap
SMU✈ 842 mi+1 hr TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Notre Dame
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Notre Dame entering this game.
Momentum Control
58.4%
Notre Dame wins
Lean
Game Control
67.1%
Notre Dame wins
Solid
Advanced Stats
PPA + Success Rate agree → Notre Dame
· 73.9% ATS historically
↓ See full breakdown
SMU 2026 Schedule
SMU's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/7 | SMU at Florida State | -5 | — | — | — | — |
| Sat 9/12 | SMU vs UC Davis | -32 | — | — | — | — |
| Sat 9/19 | SMU at Louisville | -0.5 | — | — | — | — |
| Sat 9/26 | SMU vs Missouri State | -26 | — | — | — | — |
| Sat 10/3 | SMU vs Boston College | -24.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/17 | SMU vs Virginia | -10.5 | — | — | — | — |
| Fri 10/23 | SMU vs California | -13 | — | — | — | — |
| Fri 10/30 | SMU at Syracuse | -20 | — | — | — | — |
| Fri 11/6 | SMU vs Virginia Tech | -19.5 | — | — | — | — |
| Sat 11/14 | SMU vs Wake Forest | -12 | — | — | — | — |
| Sat 11/21 | SMU at Notre Dame | +14 | — | — | — | — |
| Sat 11/28 | SMU at Stanford | -20.5 | — | — | — | — |
Notre Dame 2026 Schedule
Notre Dame's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sun 9/6 | Notre Dame vs Wisconsin | -16.5 | 46.5 | — | — | — |
| Sat 9/12 | Notre Dame vs Rice | -35 | — | — | — | — |
| Sat 9/19 | Notre Dame vs Michigan State | -29.5 | — | — | — | — |
| Sat 9/26 | Notre Dame at Purdue | -28.5 | — | — | — | — |
| Sat 10/3 | Notre Dame at North Carolina | -27 | — | — | — | — |
| Sat 10/10 | Notre Dame vs Stanford | -31.5 | — | — | — | — |
| Sat 10/17 | Notre Dame at BYU | -10.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/31 | Notre Dame vs Navy | -26.5 | — | — | — | — |
| Sat 11/7 | Notre Dame vs Miami | -6.5 | — | — | — | — |
| Sat 11/14 | Notre Dame vs Boston College | -31 | — | — | — | — |
| Sat 11/21 | Notre Dame vs SMU | -14 | — | — | — | — |
| Sat 11/28 | Notre Dame at Syracuse | -29.5 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Notre Dame
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2025 season (prior year — 2026 data not yet available) ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Notre Dame Edge
Notre Dame +0.33
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Notre Dame Edge
Notre Dame +12.5
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
SMU
Rhett Lashlee #12
38–17 (69%)
· Yr 5 at school
OC
Rob Likens
Yr 1
#67
DC
Maurice Crum Jr
Yr 1
#52
Notre Dame
Marcus Freeman #3
43–12 (78%)
· Yr 5 at school
OC
Mike Denbrock
Yr 3
#1
DC
Chris Ash
Yr 2
#42
About these metrics
Advanced Stats shows matchup-adjusted factor edges (offense vs opponent defense). Combination signals — when PPA, PPO, Success Rate, and Havoc all point the same direction — have historically predicted the SU winner in 95–97% of games and the ATS winner in 82–83% of games (2021–2025, FBS vs FBS, regular season).
Impact: Advanced Stats are the best performance based metric used to predict the outcome of games. ✓
Momentum Control (CSS) measures consecutive scoring sequences — when a team scores, holds the opponent scoreless, then scores again. Teams entering a game with a CSS edge of +1.0 or more have won 71–78% of games historically (2021–2025, FBS vs FBS).
Impact: CSS is not a predictive ATS advantage, data shows this is already considered when lines are set. ✗
Game Control (GC) measures win probability dominance — how thoroughly a team controlled the game from start to finish. Teams with a GC edge of +12 or more have won 67–76% of games historically. When both metrics agree, combined confidence is higher. When they split, treat as a lean at best.
Impact: GS is not a predictive ATS advantage, data shows this is already considered when lines are set. ✗
Power Ratings are a custom-built composite of a Teams Talent, Experience & Production, Coaching & Performance Metrics. These are updated constantly with roster changes, performance once the games start for the 2026 season, injuries the team is dealing with and scheduling situations.
Impact: There are a wide range of power ratings available, we think ours is the best, you can decide for yourself ✓
Advanced Stats shows matchup-adjusted factor edges (offense vs opponent defense). Combination signals — when PPA, PPO, Success Rate, and Havoc all point the same direction — have historically predicted the SU winner in 95–97% of games and the ATS winner in 82–83% of games (2021–2025, FBS vs FBS, regular season).
Impact: Advanced Stats are the best performance based metric used to predict the outcome of games. ✓
Momentum Control (CSS) measures consecutive scoring sequences — when a team scores, holds the opponent scoreless, then scores again. Teams entering a game with a CSS edge of +1.0 or more have won 71–78% of games historically (2021–2025, FBS vs FBS).
Impact: CSS is not a predictive ATS advantage, data shows this is already considered when lines are set. ✗
Game Control (GC) measures win probability dominance — how thoroughly a team controlled the game from start to finish. Teams with a GC edge of +12 or more have won 67–76% of games historically. When both metrics agree, combined confidence is higher. When they split, treat as a lean at best.
Impact: GS is not a predictive ATS advantage, data shows this is already considered when lines are set. ✗
Power Ratings are a custom-built composite of a Teams Talent, Experience & Production, Coaching & Performance Metrics. These are updated constantly with roster changes, performance once the games start for the 2026 season, injuries the team is dealing with and scheduling situations.
Impact: There are a wide range of power ratings available, we think ours is the best, you can decide for yourself ✓