Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 full-season performance.
Confidence will increase once in-season games are logged.
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%
Baylor wins
Strong
Vegas Spread
Baylor -42.5
O/U 46.5
consensus
UAlbany 2022 Schedule
UAlbany's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | UAlbany at Baylor | +42.5L10–69 | 46.5 | L10–69 | O | N |
Baylor 2022 Schedule
Baylor's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Baylor vs UAlbany | -42.5W69–10 | 46.5 | W69–10 | O | Y |
| Sat 9/10 | Baylor at BYU | +2.5L20–26 | 54.5 | L20–26 | U | N |
| Sat 9/17 | Baylor vs Texas State | -30.0W42–7 | 53.0 | W42–7 | U | Y |
| Sat 9/24 | Baylor at Iowa State | +2.5W31–24 | 45.0 | W31–24 | O | Y |
| Sat 10/1 | Baylor vs Oklahoma State | -2.5L25–36 | 56.0 | L25–36 | O | N |
| — Bye Week — | ||||||
| Thu 10/13 | Baylor at West Virginia | -3.0L40–43 | 55.0 | L40–43 | O | N |
| Sat 10/22 | Baylor vs Kansas | -10.5W35–23 | 56.5 | W35–23 | O | Y |
| Sat 10/29 | Baylor at Texas Tech | +1.5W45–17 | 61.0 | W45–17 | O | Y |
| Sat 11/5 | Baylor at Oklahoma | +3.0W38–35 | 61.5 | W38–35 | O | Y |
| Sat 11/12 | Baylor vs Kansas State | -2.5L3–31 | 52.0 | L3–31 | U | N |
| Sat 11/19 | Baylor vs TCU | +2.0L28–29 | 58.0 | L28–29 | U | Y |
| Fri 11/25 | Baylor at Texas | +10.0L27–38 | 55.0 | L27–38 | O | N |
| Thu 12/22 | Baylor vs Air Force | -3.5L15–30 | 42.0 | L15–30 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
UAlbany Edge
UAlbany +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Baylor Edge
Baylor +65.9
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2021 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 ✓
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 ✓