Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Illinois,
while Game Control favors Maryland.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Illinois wins
Lean
Game Control
49.4%
Maryland wins
Toss-up
Vegas Spread
Illinois -15.5
O/U 51.5
ESPN Bet
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Maryland 2025 Schedule
Maryland's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Maryland vs Florida Atlantic | -16.5W39–7 | 57.5 | W39–7 | U | Y |
| Fri 9/5 | Maryland vs Northern Illinois | -17.0W20–9 | 44.5 | W20–9 | U | N |
| Sat 9/13 | Maryland vs Towson | -28.5W44–17 | 53.5 | W44–17 | O | N |
| Sat 9/20 | Maryland at Wisconsin | +10.5W27–10 | 44.5 | W27–10 | U | Y |
| — Bye Week — | ||||||
| Sat 10/4 | Maryland vs Washington | +5.5L20–24 | 52.5 | L20–24 | U | Y |
| Sat 10/11 | Maryland vs Nebraska | +7.0L31–34 | 47.5 | L31–34 | O | Y |
| Sat 10/18 | Maryland at UCLA | +3.5L17–20 | 52.5 | L17–20 | U | Y |
| — Bye Week — | ||||||
| Sat 11/1 | Maryland vs Indiana | +21.0L10–55 | 50.5 | L10–55 | O | N |
| Sat 11/8 | Maryland at Rutgers | +1.5L20–35 | 56.5 | L20–35 | U | N |
| Sat 11/15 | Maryland at Illinois | +15.5L6–24 | 51.5 | L6–24 | U | N |
| Sat 11/22 | Maryland vs Michigan | +14.0L20–45 | 46.5 | L20–45 | O | N |
| Sat 11/29 | Maryland vs Michigan State | +4.0L28–38 | 49.5 | L28–38 | O | N |
Illinois 2025 Schedule
Illinois's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/29 | Illinois vs Western Illinois | -48.5W52–3 | 62.5 | W52–3 | U | Y |
| Sat 9/6 | Illinois at Duke | -2.5W45–19 | 49.0 | W45–19 | O | Y |
| Sat 9/13 | Illinois vs Western Michigan | -27.5W38–0 | 50.5 | W38–0 | U | Y |
| Sat 9/20 | Illinois at Indiana | +7.0L10–63 | 51.5 | L10–63 | O | N |
| Sat 9/27 | Illinois vs USC | +6.5W34–32 | 62.5 | W34–32 | O | Y |
| Sat 10/4 | Illinois at Purdue | -7.5W43–27 | 55.5 | W43–27 | O | Y |
| Sat 10/11 | Illinois vs Ohio State | +15.5L16–34 | 51.5 | L16–34 | U | N |
| — Bye Week — | ||||||
| Sat 10/25 | Illinois at Washington | +3.5L25–42 | 54.5 | L25–42 | O | N |
| Sat 11/1 | Illinois vs Rutgers | -13.5W35–13 | 63.5 | W35–13 | U | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Illinois vs Maryland | -15.5W24–6 | 51.5 | W24–6 | U | Y |
| Sat 11/22 | Illinois at Wisconsin | -8.5L10–27 | 42.5 | L10–27 | U | N |
| Sat 11/29 | Illinois vs Northwestern | -7.0W20–13 | 44.5 | W20–13 | U | N |
| Tue 12/30 | Illinois vs Tennessee | +3.0W30–28 | 62.5 | W30–28 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 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 · 2025 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?
Illinois Edge
Illinois +0.63
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 8 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Maryland Edge
Maryland +3.2
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 9 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as 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
33–41 (45%)
· Yr 7 at school
OC
Pep Hamilton
Yr 1
#1
DC
Brian Williams
Yr 2
#1
Illinois
Bret Bielema #1
27–22 (55%)
· Yr 5 at school
OC
Barry Lunney Jr.
Yr 3
#1
DC
Aaron Henry
Yr 3
#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 ✓