UC Davis at SMU Week 2 College Football Matchup UC Davis at SMU Matchup - Week 2
Sat, Sep 12 2026 · Week 2 · 🏟 Gerald J. Ford Stadium University Park, TX · Turf · 32,000 cap
UC Davis✈ 1,451 mi+2 hr TZ
Away
VS
SMU
Home
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.
📊 Punt & Rally Projection
UC Davis
26
SMU
41
P&R Line SMU -15.5
P&R Total O/U 66.5
Confidence 55 Early Season
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
Lean
Game Control
76%
SMU wins
Strong
UC Davis 2026 Schedule
UC Davis's 2026 Schedule
DateMatchupSpreadTotalResultO/UCover
— Bye Week —
Sat 9/12UC Davis at SMU+15.5
SMU 2026 Schedule
SMU's 2026 Schedule
DateMatchupSpreadTotalResultO/UCover
Mon 9/7SMU at Florida State-2.5
Sat 9/12SMU vs UC Davis-31.5
Sat 9/19SMU at Louisville+0.5
Sat 9/26SMU vs Missouri State-28.5
Sat 10/3SMU vs Boston College-19.5
— Bye Week —
Sat 10/17SMU vs Virginia-9
Fri 10/23SMU vs California-11
Fri 10/30SMU at Syracuse-12
Fri 11/6SMU vs Virginia Tech-8
Sat 11/14SMU vs Wake Forest-11.5
Sat 11/21SMU at Notre Dame+16.5
Sat 11/28SMU at Stanford-13.5
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? UC Davis Edge
Avg sequences created per game
UC Davis
0.00
SMU #22
1.58
Avg sequences allowed per game (lower is better)
UC Davis
0.00
SMU #2
0.25
UC Davis +0.00
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? SMU Edge
Avg GC score per game (offense)
UC Davis #139
2.6
SMU #15
60.7
Avg GC score allowed per game (lower is better)
UC Davis #140
95.3
SMU #19
25.9
SMU +58.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2025 full season · preseason estimate
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