SMU at Oklahoma Week 2 College Football Matchup SMU at Oklahoma Matchup - Week 2
Sat, Sep 9 2023 · Week 2 · 🏟 Gaylord Family Oklahoma Memorial Stadium Norman, OK · Turf · 84,389 cap
SMU✈ 167 miSame TZ
Away
11 28
Final
Home
📊 Punt & Rally Projection
SMU
28
Oklahoma
37
P&R Line Oklahoma -9
P&R Total O/U 64.5
Confidence 75 Good
Vegas Oklahoma -16.5 · O/U 68.5
Matchup Prediction
Oklahoma has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Oklahoma entering this game.
Momentum Control
78.1%
Oklahoma wins
Strong
Game Control
58.6%
Oklahoma wins
Lean
Vegas Spread
Oklahoma -16.5
O/U 68.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
🏠 Oklahoma 2nd straight Home Game
SMU 2023 Schedule
SMU's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2SMU vs Louisiana Tech-21.0W38–1466.0W38–14UY
Sat 9/9SMU at Oklahoma+16.5L11–2868.5L11–28UN
Sat 9/16SMU vs Prairie View A&M-42.5W69–063.5W69–0OY
Sat 9/23SMU at TCU+7.0L17–3463.5L17–34UN
Sat 9/30SMU vs Charlotte-22.5W34–1653.0W34–16UN
— Bye Week —
Thu 10/12SMU at East Carolina-11.5W31–1048.5W31–10UY
Fri 10/20SMU at Temple-24.0W55–053.0W55–0OY
Sat 10/28SMU vs Tulsa-20.5W69–1055.0W69–10OY
Sat 11/4SMU at Rice-12.0W36–3159.5W36–31ON
Fri 11/10SMU vs North Texas-21.5W45–2167.5W45–21UY
Sat 11/18SMU at Memphis-9.5W38–3464.5W38–34ON
Sat 11/25SMU vs Navy-20.0W59–1446.0W59–14OY
Sat 12/2SMU at Tulane+4.0W26–1450.5W26–14UY
Thu 12/28SMU vs Boston College-13.5L14–2349.0L14–23UN
Oklahoma 2023 Schedule
Oklahoma's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Oklahoma vs Arkansas State-36.0W73–057.5W73–0OY
Sat 9/9Oklahoma vs SMU-16.5W28–1168.5W28–11UY
Sat 9/16Oklahoma at Tulsa-28.0W66–1758.5W66–17OY
Sat 9/23Oklahoma at Cincinnati-13.0W20–658.0W20–6UY
Sat 9/30Oklahoma vs Iowa State-19.5W50–2048.5W50–20OY
Sat 10/7Oklahoma vs Texas+4.0W34–3062.0W34–30OY
— Bye Week —
Sat 10/21Oklahoma vs UCF-17.0W31–2967.5W31–29UN
Sat 10/28Oklahoma at Kansas-7.0L33–3866.5L33–38ON
Sat 11/4Oklahoma at Oklahoma State-6.0L24–2761.5L24–27UN
Sat 11/11Oklahoma vs West Virginia-13.5W59–2059.5W59–20OY
Sat 11/18Oklahoma at BYU-24.5W31–2458.5W31–24UN
Fri 11/24Oklahoma vs TCU-12.5W69–4566.5W69–45OY
Thu 12/28Oklahoma vs Arizona+2.5L24–3859.5L24–38ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
SMU PPA Edge
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
Split
Metrics disagree
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
SMU #24
+0.401
Oklahoma #9
+0.385
SMU Edge
PPA Passing
Pass efficiency edge · Strong predictor
SMU #16
+0.648
Oklahoma #6
+0.638
SMU Edge
Havoc Total
Def. disruption rate · Strong predictor
SMU #14
0.194
Oklahoma #46
0.172
TFLs, sacks, PBUs, forced fumbles — higher is better
SMU Edge
Points Per Opp
Drive-finishing edge · Strong predictor
SMU #21
+7.876
Oklahoma #18
+8.153
Oklahoma Edge
Success Rate
Play consistency edge · Solid predictor
SMU #46
+0.825
Oklahoma #8
+0.858
Oklahoma Edge
Field Position
Avg start (lower=better) · Solid predictor
SMU #40
69.6
Oklahoma #65
70.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
SMU Edge
Advanced stats sourced from CFBD · 2023 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Oklahoma Rated Higher
Overall Power Rating
SMU
16.2
Oklahoma
19.1
Offense Rating
SMU
26.0
Oklahoma
24.6
Defense Rating (lower = better defense)
SMU
9.9
Oklahoma
5.5
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Oklahoma Edge
Avg sequences created per game
SMU #35
1.00
Oklahoma #5
7.00
Avg sequences allowed per game (lower is better)
SMU #31
0.00
Oklahoma #34
0.00
Oklahoma +6.00
CSS Edge (season-to-date)
Teams with this edge win 78.1% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Oklahoma Edge
Avg GC score per game (offense)
SMU #1
85.4
Oklahoma #1
96.1
Avg GC score allowed per game (lower is better)
SMU #9
5.1
Oklahoma #8
2.1
Oklahoma +10.7
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Oklahoma
1 — 0 sequences
✓ Predicted correctly
GC Battle
Oklahoma
77.7 — 9.8 GC score
✓ Predicted correctly
Game Result
Oklahoma won by 17
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Oklahoma. Teams with this edge profile have covered 50.3% historically — essentially 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
9–7 (56%) · Yr 2 at school
OC Casey Woods Yr 2 #1
DC Scott Symons Yr 2 #1
Staff Rating
0.00 #1
Oklahoma
Brent Venables #1
9–7 (56%) · Yr 2 at school
OC Jeff Lebby Yr 2 #1
DC Todd Bates Yr 2 #1
Staff Rating
0.00 #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