Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 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%
Maryland wins
Strong
Vegas Spread
Maryland -38.5
O/U 55.5
William Hill (New Jersey)
Towson 2023 Schedule
Towson's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Towson at Maryland | +38.5L6–38 | 55.5 | L6–38 | U | Y |
Maryland 2023 Schedule
Maryland's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Maryland vs Towson | -38.5W38–6 | 55.5 | W38–6 | U | N |
| Sat 9/9 | Maryland vs Charlotte | -24.5W38–20 | 50.0 | W38–20 | O | N |
| Fri 9/15 | Maryland vs Virginia | -16.5W42–14 | 48.5 | W42–14 | O | Y |
| Sat 9/23 | Maryland at Michigan State | -7.0W31–9 | 52.5 | W31–9 | U | Y |
| Sat 9/30 | Maryland vs Indiana | -14.5W44–17 | 50.0 | W44–17 | O | Y |
| Sat 10/7 | Maryland at Ohio State | +17.0L17–37 | 56.5 | L17–37 | U | N |
| Sat 10/14 | Maryland vs Illinois | -13.5L24–27 | 52.0 | L24–27 | U | N |
| — Bye Week — | ||||||
| Sat 10/28 | Maryland at Northwestern | -14.0L27–33 | 48.5 | L27–33 | O | N |
| Sat 11/4 | Maryland vs Penn State | +8.5L15–51 | 50.5 | L15–51 | O | N |
| Sat 11/11 | Maryland at Nebraska | -1.5W13–10 | 41.5 | W13–10 | U | Y |
| Sat 11/18 | Maryland vs Michigan | +17.5L24–31 | 50.5 | L24–31 | O | Y |
| Sat 11/25 | Maryland at Rutgers | -2.0W42–24 | 45.5 | W42–24 | O | Y |
| Sat 12/30 | Maryland vs Auburn | +4.0W31–13 | 47.5 | W31–13 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Towson Edge
Towson +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Maryland Edge
Maryland +47.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2022 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: 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 ✓