Sat, Oct 25 2025
·
Week 9
·
🏟 BB&T Field
Winston-Salem, NC
·
Turf
·
31,500 cap
SMU✈ 967 mi+1 hr TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors SMU,
while Game Control favors Wake Forest.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
SMU wins
Lean
Game Control
50.6%
Wake Forest wins
Toss-up
Vegas Spread
SMU -6.5
O/U 53.5
ESPN Bet
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → SMU
· 82.4% ATS historically
↓ See full breakdown
SMU 2025 Schedule
SMU's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | SMU vs East Texas A&M | -51.0W42–13 | 65.0 | W42–13 | U | N |
| Sat 9/6 | SMU vs Baylor | -3.0L45–48 | 65.5 | L45–48 | O | N |
| Sat 9/13 | SMU at Missouri State | -29.5W28–10 | 60.5 | W28–10 | U | N |
| Sat 9/20 | SMU at TCU | +6.5L24–35 | 63.5 | L24–35 | U | N |
| — Bye Week — | ||||||
| Sat 10/4 | SMU vs Syracuse | -17.5W31–18 | 56.5 | W31–18 | U | N |
| Sat 10/11 | SMU vs Stanford | -19.5W34–10 | 55.5 | W34–10 | U | Y |
| Sat 10/18 | SMU at Clemson | +3.5W35–24 | 49.5 | W35–24 | O | Y |
| Sat 10/25 | SMU at Wake Forest | -6.5L12–13 | 53.5 | L12–13 | U | N |
| Sat 11/1 | SMU vs Miami | +8.5W26–20 | 50.5 | W26–20 | U | Y |
| Sat 11/8 | SMU at Boston College | -10.5W45–13 | 54.5 | W45–13 | O | Y |
| — Bye Week — | ||||||
| Sat 11/22 | SMU vs Louisville | -4.0W38–6 | 49.5 | W38–6 | U | Y |
| Sat 11/29 | SMU at California | -13.5L35–38 | 53.5 | L35–38 | O | N |
| Fri 1/2 | SMU vs Arizona | -2.5W24–19 | 55.5 | W24–19 | U | Y |
Wake Forest 2025 Schedule
Wake Forest's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/29 | Wake Forest vs Kennesaw State | -17.5W10–9 | 51.5 | W10–9 | U | N |
| Sat 9/6 | Wake Forest vs Western Carolina | -17.5W42–10 | 60.5 | W42–10 | U | Y |
| Thu 9/11 | Wake Forest vs NC State | +7.5L24–34 | 52.5 | L24–34 | O | N |
| — Bye Week — | ||||||
| Sat 9/27 | Wake Forest vs Georgia Tech | +13.5L29–30 | 53.5 | L29–30 | O | Y |
| Sat 10/4 | Wake Forest at Virginia Tech | +4.5W30–23 | 51.5 | W30–23 | O | Y |
| Sat 10/11 | Wake Forest at Oregon State | -1.5W39–14 | 47.5 | W39–14 | O | Y |
| — Bye Week — | ||||||
| Sat 10/25 | Wake Forest vs SMU | +6.5W13–12 | 53.5 | W13–12 | U | Y |
| Sat 11/1 | Wake Forest at Florida State | +12.5L7–42 | 50.5 | L7–42 | U | N |
| Sat 11/8 | Wake Forest at Virginia | +7.0W16–9 | 48.5 | W16–9 | U | Y |
| Sat 11/15 | Wake Forest vs North Carolina | -3.5W28–12 | 37.5 | W28–12 | O | Y |
| Sat 11/22 | Wake Forest vs Delaware | -17.5W52–14 | 49.5 | W52–14 | O | Y |
| Sat 11/29 | Wake Forest at Duke | +2.5L32–49 | 54.0 | L32–49 | O | N |
| Fri 1/2 | Wake Forest vs Mississippi State | +3.0W43–29 | 52.5 | W43–29 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ SMU
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
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 ·
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?
SMU Edge
SMU +0.30
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Wake Forest Edge
Wake Forest +3.5
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 6 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
SMU
Rhett Lashlee #1
29–12 (71%)
· Yr 4 at school
OC
Casey Woods
Yr 3
#1
DC
Scott Symons
Yr 3
#1
Wake Forest
Jake Dickert #1
0–0 (0%)
· Yr 1 at school
OC
Rob Ezell
Yr 1
#1
DC
Scottie Hazelton
Yr 1
#1
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: Momentum Control is a great measure for predicting game outcome but NOT an 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: Game Control is another great measure for predicting game outcome but NOT an 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: Momentum Control is a great measure for predicting game outcome but NOT an 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: Game Control is another great measure for predicting game outcome but NOT an 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 ✓

