Maryland at Virginia Tech Week 1 College Football Matchup Maryland at Virginia Tech Matchup - Week 1
Wed, Dec 29 2021 · Postseason · Neutral Site · 🏟 Yankee Stadium New York, NY · Turf · 54,251 cap
Maryland✈ 204 miSame TZ Virginia Tech✈ 428 miSame TZ
Away (Neutral)
54 10
Final
Home (Neutral)
📊 Punt & Rally Projection
Maryland
30
Virginia Tech
26
P&R Line Maryland -4
P&R Total O/U 55
Confidence 86 High
Vegas Maryland -4.0 · O/U 55.0
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Maryland, while Game Control favors Virginia Tech. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Maryland wins
Lean
Game Control
58.6%
Virginia Tech wins
Lean
Vegas Spread
Maryland -4.0
O/U 55.0
Bovada
Advanced Stats
PPA + Success Rate agree → Maryland · 73.9% ATS historically
↓ See full breakdown
🚌 Maryland 2nd straight Road Game
Maryland 2021 Schedule
Maryland's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4Maryland vs West Virginia+2.5W30–2456.0W30–24UY
Sat 9/11Maryland vs Howard-48.5W62–056.0W62–0OY
Fri 9/17Maryland at Illinois-7.0W20–1761.5W20–17UN
Sat 9/25Maryland vs Kent State-13.0W37–1671.5W37–16UY
Fri 10/1Maryland vs Iowa+3.0L14–5147.5L14–51ON
Sat 10/9Maryland at Ohio State+22.0L17–6671.5L17–66ON
— Bye Week —
Sat 10/23Maryland at Minnesota+4.0L16–3453.0L16–34UN
Sat 10/30Maryland vs Indiana-3.5W38–3548.0W38–35ON
Sat 11/6Maryland vs Penn State+10.0L14–3156.5L14–31UN
Sat 11/13Maryland at Michigan State+11.5L21–4060.0L21–40ON
Sat 11/20Maryland vs Michigan+16.0L18–5958.5L18–59ON
Sat 11/27Maryland at Rutgers+2.0W40–1653.0W40–16OY
Wed 12/29Maryland vs Virginia Tech-4.0W54–1055.0W54–10OY
Virginia Tech 2021 Schedule
Virginia Tech's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 9/3Virginia Tech vs North Carolina+5.5W17–1063.5W17–10UY
Sat 9/11Virginia Tech vs Middle Tennessee-20.0W35–1455.0W35–14UY
Sat 9/18Virginia Tech at West Virginia+2.0L21–2749.5L21–27UN
Sat 9/25Virginia Tech vs Richmond-29.0W21–1050.0W21–10UN
— Bye Week —
Sat 10/9Virginia Tech vs Notre Dame-1.0L29–3246.5L29–32ON
Sat 10/16Virginia Tech vs Pittsburgh+6.0L7–2855.5L7–28UN
Sat 10/23Virginia Tech vs Syracuse-3.5L36–4145.5L36–41ON
Sat 10/30Virginia Tech at Georgia Tech+3.0W26–1755.0W26–17UY
Fri 11/5Virginia Tech at Boston College-1.0L3–1751.0L3–17UN
Sat 11/13Virginia Tech vs Duke-13.5W48–1750.5W48–17OY
Sat 11/20Virginia Tech at Miami+7.0L26–3855.5L26–38ON
Sat 11/27Virginia Tech at Virginia+7.0W29–2463.5W29–24UY
Wed 12/29Virginia Tech vs Maryland+4.0L10–5455.0L10–54ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 season
Maryland PPA Edge
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
Both Agree
→ Maryland
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Maryland
+0.494
Virginia Tech
+0.395
Maryland Edge
PPA Passing
Pass efficiency edge · Strong predictor
Maryland
+0.608
Virginia Tech
+0.567
Maryland Edge
Havoc Total
Def. disruption rate · Strong predictor
Maryland
0.143
Virginia Tech
0.174
TFLs, sacks, PBUs, forced fumbles — higher is better
Virginia Tech Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Maryland
+7.692
Virginia Tech
+7.083
Maryland Edge
Success Rate
Play consistency edge · Solid predictor
Maryland
+0.907
Virginia Tech
+0.847
Maryland Edge
Field Position
Avg start (lower=better) · Solid predictor
Maryland
72.1
Virginia Tech
71.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Virginia Tech Edge
Advanced stats sourced from CFBD · 2021 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Virginia Tech Rated Higher
Overall Power Rating
Maryland
4.5
Virginia Tech
5.9
Offense Rating
Maryland
17.5
Virginia Tech
18.3
Defense Rating (lower = better defense)
Maryland
13.0
Virginia Tech
12.4
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Maryland Edge
Avg sequences created per game
Maryland #90
0.73
Virginia Tech #111
0.64
Avg sequences allowed per game (lower is better)
Maryland #126
1.55
Virginia Tech #66
0.73
Maryland +0.09
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 11 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Virginia Tech Edge
Avg GC score per game (offense)
Maryland #1
39.5
Virginia Tech #1
49.2
Avg GC score allowed per game (lower is better)
Maryland #85
50.4
Virginia Tech #75
39.6
Virginia Tech +9.8
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

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
9–17 (35%) · Yr 3 at school
OC Dan Enos Yr 1 #1
DC Brian Williams Yr 1 #1
Staff Rating
0.00 #1
Virginia Tech
Justin Fuente #1
40–27 (60%) · Yr 6 at school
OC Brad Cornelsen Yr 1 #1
DC Justin Hamilton Yr 1 #1
Staff Rating
0.00 #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