TCU at SMU Week 4 College Football Matchup TCU at SMU Matchup - Week 4
Sat, Sep 21 2024 · Week 4 · 🏟 Gerald J. Ford Stadium University Park, TX · Turf · 32,000 cap
Away
42 66
Final
SMU
Home
📊 Punt & Rally Projection
TCU
26
SMU +1
SMU
33
P&R Line SMU -7.5
P&R Total O/U 58.5
Confidence 90 High
Vegas TCU -1 · O/U 58.5
Matchup Prediction
TCU has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor TCU entering this game.
Momentum Control
73.7%
TCU wins
Solid
Game Control
75.9%
TCU wins
Solid
Vegas Spread
TCU -1
O/U 58.5
DraftKings
Advanced Stats
All 4 factors agree → SMU · 83.1% ATS historically when all four align
↓ See full breakdown
🛋 SMU Coming off BYE
TCU 2024 Schedule
TCU's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 8/30TCU at Stanford-8.0W34–2758.5W34–27ON
Sat 9/7TCU vs Long Island University-45.5W45–056.5W45–0UN
Sat 9/14TCU vs UCF-1.5L34–3561.5L34–35ON
Sat 9/21TCU at SMU-1.0L42–6658.5L42–66ON
Sat 9/28TCU vs Kansas+1.5W38–2758.5W38–27OY
Fri 10/4TCU vs Houston-16.5L19–3052.0L19–30UN
— Bye Week —
Sat 10/19TCU at Utah+3.0W13–752.0W13–7UY
Sat 10/26TCU vs Texas Tech-5.0W35–3466.0W35–34ON
Sat 11/2TCU at Baylor+2.5L34–3764.0L34–37ON
Sat 11/9TCU vs Oklahoma State-10.5W38–1368.5W38–13UY
— Bye Week —
Sat 11/23TCU vs Arizona-10.5W49–2860.0W49–28OY
Sat 11/30TCU at Cincinnati-2.5W20–1358.5W20–13UY
Sat 12/28TCU vs Louisiana-9.5W34–361.0W34–3UY
SMU 2024 Schedule
SMU's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/24SMU at Nevada-28.0W29–2455.5W29–24UN
Sat 8/31SMU vs Houston Christian-30
Fri 9/6SMU vs BYU-12.5L15–1855.5L15–18UN
— Bye Week —
Sat 9/21SMU vs TCU+1.0W66–4258.5W66–42OY
Sat 9/28SMU vs Florida State-6.0W42–1646.0W42–16OY
Sat 10/5SMU at Louisville+6.5W34–2755.0W34–27OY
— Bye Week —
Sat 10/19SMU at Stanford-16.5W40–1052.5W40–10UY
Sat 10/26SMU at Duke-11.5W28–2749.5W28–27ON
Sat 11/2SMU vs Pittsburgh-7.0W48–2555.5W48–25OY
— Bye Week —
Sat 11/16SMU vs Boston College-19.0W38–2854.5W38–28ON
Sat 11/23SMU at Virginia-11.5W33–754.5W33–7UY
Sat 11/30SMU vs California-11.5W38–654.5W38–6UY
Sat 12/7SMU vs Clemson-2.5L31–3456.5L31–34ON
Sat 12/21SMU at Penn State+9.0L10–3852.5L10–38UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2024 season
SMU PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ SMU
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ SMU
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ SMU
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
TCU #18
+0.329
SMU #38
+0.427
SMU Edge
PPA Passing
Pass efficiency edge · Strong predictor
TCU #5
+0.572
SMU #19
+0.549
TCU Edge
Havoc Total
Def. disruption rate · Strong predictor
TCU #102
0.142
SMU #29
0.185
TFLs, sacks, PBUs, forced fumbles — higher is better
SMU Edge
Points Per Opp
Drive-finishing edge · Strong predictor
TCU #20
+7.546
SMU #25
+8.237
SMU Edge
Success Rate
Play consistency edge · Solid predictor
TCU #20
+0.837
SMU #53
+0.856
SMU Edge
Field Position
Avg start (lower=better) · Solid predictor
TCU #13
68.3
SMU #26
68.9
Avg yards from own endzone to average start — lower is better · longer bar = better field position
TCU Edge
Advanced stats sourced from CFBD · 2024 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
SMU Rated Higher
Overall Power Rating
TCU
6.6
SMU
15.2
Offense Rating
TCU
17.9
SMU
25.0
Defense Rating (lower = better defense)
TCU
11.3
SMU
9.8
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? TCU Edge
Avg sequences created per game
TCU #18
1.00
SMU #25
0.00
Avg sequences allowed per game (lower is better)
TCU #30
0.50
SMU #22
0.00
TCU +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? TCU Edge
Avg GC score per game (offense)
TCU #1
67.2
SMU #1
45.1
Avg GC score allowed per game (lower is better)
TCU #25
18.6
SMU #15
32.2
TCU +22.1
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 3 games this season
Actual Result
CSS Battle
SMU
2 — 1 sequences
✗ Predicted incorrectly
GC Battle
SMU
87.1 — 6.7 GC score
✗ Predicted incorrectly
Game Result
SMU won by 24
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on TCU with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
TCU
Sonny Dykes #1
18–9 (67%) · Yr 3 at school
OC Kendal Briles Yr 2 #1
DC Andy Avalos Yr 1 #1
Staff Rating
0.00 #1
SMU
Rhett Lashlee #1
18–10 (64%) · Yr 3 at school
OC Casey Woods Yr 3 #1
DC Scott Symons Yr 3 #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