Matchup Prediction
Alabama
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Alabama entering this game.
Momentum Control
78.1%
Alabama wins
Strong
Game Control
76%
Alabama wins
Strong
Vegas Spread
Alabama -24
O/U 48.0
teamrankings
Advanced Stats
All 4 factors agree → Alabama
· 83.1% ATS historically when all four align
↓ See full breakdown
Texas A&M 2022 Schedule
Texas A&M's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Texas A&M vs Sam Houston | -36.5W31–0 | 54.0 | W31–0 | U | N |
| Sat 9/10 | Texas A&M vs App State | -18.0L14–17 | 54.0 | L14–17 | U | N |
| Sat 9/17 | Texas A&M vs Miami | -6.5W17–9 | 45.5 | W17–9 | U | Y |
| Sat 9/24 | Texas A&M vs Arkansas | -1.5W23–21 | 51.0 | W23–21 | U | Y |
| Sat 10/1 | Texas A&M at Mississippi State | +4.0L24–42 | 45.0 | L24–42 | O | N |
| Sat 10/8 | Texas A&M at Alabama | +24.0L20–24 | 48.0 | L20–24 | U | Y |
| — Bye Week — | ||||||
| Sat 10/22 | Texas A&M at South Carolina | -3.0L24–30 | 44.5 | L24–30 | O | N |
| Sat 10/29 | Texas A&M vs Ole Miss | +3.0L28–31 | 55.5 | L28–31 | O | Y |
| Sat 11/5 | Texas A&M vs Florida | -1.5L24–41 | 53.5 | L24–41 | O | N |
| Sat 11/12 | Texas A&M at Auburn | +1.5L10–13 | 48.0 | L10–13 | U | N |
| Sat 11/19 | Texas A&M vs Massachusetts | -32.0W20–3 | 46.0 | W20–3 | U | N |
| Sat 11/26 | Texas A&M vs LSU | +10.0W38–23 | 47.5 | W38–23 | O | Y |
Alabama 2022 Schedule
Alabama's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Alabama vs Utah State | -42.0W55–0 | 63.0 | W55–0 | U | Y |
| Sat 9/10 | Alabama at Texas | -21.0W20–19 | 64.0 | W20–19 | U | N |
| Sat 9/17 | Alabama vs UL Monroe | -49.5W63–7 | 68.5 | W63–7 | O | Y |
| Sat 9/24 | Alabama vs Vanderbilt | -40.5W55–3 | 61.0 | W55–3 | U | Y |
| Sat 10/1 | Alabama at Arkansas | -17.0W49–26 | 61.0 | W49–26 | O | Y |
| Sat 10/8 | Alabama vs Texas A&M | -24.0W24–20 | 48.0 | W24–20 | U | N |
| Sat 10/15 | Alabama at Tennessee | -9.0L49–52 | 68.0 | L49–52 | O | N |
| Sat 10/22 | Alabama vs Mississippi State | -21.5W30–6 | 61.5 | W30–6 | U | Y |
| — Bye Week — | ||||||
| Sat 11/5 | Alabama at LSU | -13.5L31–32 | 56.5 | L31–32 | O | N |
| Sat 11/12 | Alabama at Ole Miss | -11.0W30–24 | 65.5 | W30–24 | U | N |
| Sat 11/19 | Alabama vs Austin Peay | -45.0W34–0 | 58.0 | W34–0 | U | N |
| Sat 11/26 | Alabama vs Auburn | -22.0W49–27 | 51.0 | W49–27 | O | N |
| Sat 12/31 | Alabama vs Kansas State | -8.0W45–20 | 58.5 | W45–20 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Alabama
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Alabama
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Alabama
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 · 2022 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?
Alabama Edge
Alabama +2.60
CSS Edge (season-to-date)
Teams with this edge win 78.1% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Alabama Edge
Alabama +33.6
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 5 games this season
Actual Result
CSS Battle
Alabama
1 — 0 sequences
✓ Predicted correctly
GC Battle
Alabama
89.1 — 3.5 GC score
✓ Predicted correctly
Game Result
Alabama won by 4
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Alabama 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
Texas A&M
Jimbo Fisher #1
34–14 (71%)
· Yr 5 at school
OC
Darrell Dickey
Yr 2
#1
DC
D. J. Durkin
Yr 1
#1
Alabama
Nick Saban #1
177–25 (88%)
· Yr 16 at school
OC
Bill O'Brien
Yr 2
#1
DC
Pete Golding
Yr 2
#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: 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 ✓