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
58.6%
NC State wins
Lean
Vegas Spread
NC State -2.5
O/U 45.0
Bovada
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Maryland 2022 Schedule
Maryland's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Maryland vs Buffalo | -24.0W31–10 | 66.0 | W31–10 | U | N |
| Sat 9/10 | Maryland at Charlotte | -28.0W56–21 | 65.0 | W56–21 | O | Y |
| Sat 9/17 | Maryland vs SMU | -3.0W34–27 | 74.0 | W34–27 | U | Y |
| Sat 9/24 | Maryland at Michigan | +17.0L27–34 | 66.0 | L27–34 | U | Y |
| Sat 10/1 | Maryland vs Michigan State | -7.5W27–13 | 58.5 | W27–13 | U | Y |
| Sat 10/8 | Maryland vs Purdue | -3.0L29–31 | 59.5 | L29–31 | O | N |
| Sat 10/15 | Maryland at Indiana | -11.0W38–33 | 63.0 | W38–33 | O | N |
| Sat 10/22 | Maryland vs Northwestern | -14.0W31–24 | 51.0 | W31–24 | O | N |
| — Bye Week — | ||||||
| Sat 11/5 | Maryland at Wisconsin | +5.0L10–23 | 47.5 | L10–23 | U | N |
| Sat 11/12 | Maryland at Penn State | +10.5L0–30 | 56.5 | L0–30 | U | N |
| Sat 11/19 | Maryland vs Ohio State | +26.5L30–43 | 62.5 | L30–43 | O | Y |
| Sat 11/26 | Maryland vs Rutgers | -14.5W37–0 | 48.5 | W37–0 | U | Y |
| Fri 12/30 | Maryland vs NC State | +2.5W16–12 | 45.0 | W16–12 | U | Y |
NC State 2022 Schedule
NC State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | NC State at East Carolina | -12.5W21–20 | 52.0 | W21–20 | U | N |
| Sat 9/10 | NC State vs Charleston Southern | -45.5W55–3 | 55.0 | W55–3 | O | Y |
| Sat 9/17 | NC State vs Texas Tech | -10.5W27–14 | 55.5 | W27–14 | U | Y |
| Sat 9/24 | NC State vs UConn | -38.5W41–10 | 48.0 | W41–10 | O | N |
| Sat 10/1 | NC State at Clemson | +6.5L20–30 | 46.0 | L20–30 | O | N |
| Sat 10/8 | NC State vs Florida State | -3.5W19–17 | 50.5 | W19–17 | U | N |
| Sat 10/15 | NC State at Syracuse | +3.0L9–24 | 42.5 | L9–24 | U | N |
| — Bye Week — | ||||||
| Thu 10/27 | NC State vs Virginia Tech | -13.0W22–21 | 39.0 | W22–21 | O | N |
| Sat 11/5 | NC State vs Wake Forest | +3.0W30–21 | 54.0 | W30–21 | U | Y |
| Sat 11/12 | NC State vs Boston College | -18.0L20–21 | 41.0 | L20–21 | U | N |
| Sat 11/19 | NC State at Louisville | +4.0L10–25 | 43.0 | L10–25 | U | N |
| Fri 11/25 | NC State at North Carolina | +6.5W30–27 | 56.0 | W30–27 | O | Y |
| Fri 12/30 | NC State vs Maryland | -2.5L12–16 | 45.0 | L12–16 | U | N |
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
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?
Maryland +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 12 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
NC State Edge
NC State +5.5
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 12 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on NC State. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Maryland
Mike Locksley #1
12–23 (34%)
· Yr 4 at school
OC
Dan Enos
Yr 2
#1
DC
Brian Williams
Yr 2
#1
NC State
Dave Doeren #1
64–49 (57%)
· Yr 10 at school
OC
Tim Beck*
Yr 2
#1
DC
Tony Gibson
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: 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 ✓