Virginia at Virginia Tech Week 13 College Football Matchup Virginia at Virginia Tech Matchup - Week 13
Sat, Nov 26 2022 · Week 13 · 🏟 Lane Stadium Blacksburg, VA · Turf · 66,233 cap
Virginia✈ 118 miSame TZ
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.
📊 Punt & Rally Projection
Virginia
19
VT -1.5
Virginia Tech
21
P&R Line Virginia Tech -2
P&R Total O/U 40.5
Confidence 86 High
Vegas Virginia Tech -1.5 · O/U 40.0
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Virginia, 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%
Virginia wins
Lean
Game Control
50.6%
Virginia Tech wins
Toss-up
Vegas Spread
Virginia Tech -1.5
O/U 40.0
Bovada
Advanced Stats
PPA + Success Rate agree → Virginia · 73.9% ATS historically
↓ See full breakdown
Virginia 2022 Schedule
Virginia's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Virginia vs Richmond-22.5W34–1762.0W34–17UN
Sat 9/10Virginia at Illinois+4.0L3–2455.0L3–24UN
Sat 9/17Virginia vs Old Dominion-8.0W16–1452.5W16–14UN
Fri 9/23Virginia at Syracuse+9.5L20–2253.5L20–22UY
Sat 10/1Virginia at Duke+2.0L17–3855.0L17–38UN
Sat 10/8Virginia vs Louisville-1.5L17–3447.5L17–34ON
— Bye Week —
Thu 10/20Virginia at Georgia Tech+3.5W16–948.0W16–9UY
Sat 10/29Virginia vs Miami+3.0L12–1448.5L12–14UY
Sat 11/5Virginia vs North Carolina+7.0L28–3161.5L28–31UY
Sat 11/12Virginia vs Pittsburgh+5.5L7–3741.5L7–37ON
Sat 11/19Virginia vs Coastal Carolina-2.044.5
Sat 11/26Virginia at Virginia Tech+1.540.0
Virginia Tech 2022 Schedule
Virginia Tech's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 9/2Virginia Tech at Old Dominion-6.0L17–2048.5L17–20UN
Sat 9/10Virginia Tech vs Boston College-2.5W27–1045.0W27–10UY
Sat 9/17Virginia Tech vs Wofford-39.0W27–745.0W27–7UN
Thu 9/22Virginia Tech vs West Virginia+2.0L10–3349.5L10–33UN
Sat 10/1Virginia Tech at North Carolina+9.5L10–4157.0L10–41UN
Sat 10/8Virginia Tech at Pittsburgh+14.5L29–4542.0L29–45ON
Sat 10/15Virginia Tech vs Miami+9.0L14–2048.5L14–20UY
— Bye Week —
Thu 10/27Virginia Tech at NC State+13.0L21–2239.0L21–22OY
Sat 11/5Virginia Tech vs Georgia Tech-4.0L27–2840.5L27–28ON
Sat 11/12Virginia Tech at Duke+10.0L7–2450.0L7–24UN
Sat 11/19Virginia Tech at Liberty+10.5W23–2246.0W23–22UY
Sat 11/26Virginia Tech vs Virginia-1.540.0
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 season (prior year)
Virginia 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
→ Virginia
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Virginia
+0.554
Virginia Tech
+0.514
Virginia Edge
PPA Passing
Pass efficiency edge · Strong predictor
Virginia
+0.630
Virginia Tech
+0.710
Virginia Tech Edge
Havoc Total
Def. disruption rate · Strong predictor
Virginia
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
Virginia
+8.223
Virginia Tech
+7.069
Virginia Edge
Success Rate
Play consistency edge · Solid predictor
Virginia
+0.923
Virginia Tech
+0.880
Virginia Edge
Field Position
Avg start (lower=better) · Solid predictor
Virginia
74.3
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 (prior year — 2026 data not yet available) · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Virginia Rated Higher
Overall Power Rating
Virginia
7.0
Virginia Tech
5.9
Offense Rating
Virginia
17.9
Virginia Tech
18.4
Defense Rating (lower = better defense)
Virginia
10.9
Virginia Tech
12.5
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Virginia Edge
Avg sequences created per game
Virginia #55
1.46
Virginia Tech #111
0.58
Avg sequences allowed per game (lower is better)
Virginia #124
1.82
Virginia Tech #66
0.92
Virginia +0.87
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Virginia Tech Edge
Avg GC score per game (offense)
Virginia #67
45.3
Virginia Tech #65
45.8
Avg GC score allowed per game (lower is better)
Virginia #74
43.3
Virginia Tech #75
43.8
Virginia Tech +0.5
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 2021 full season · preseason estimate
Coaching Matchup
Virginia
Tony Elliott #1
0–0 (0%) · Yr 1 at school
OC Des Kitchings Yr 1 #1
DC John Rudzinski Yr 1 #1
Staff Rating
0.00 #1
Virginia Tech
Brent Pry #1
0–0 (0%) · Yr 1 at school
OC Tyler Bowen Yr 1 #1
DC Chris Marve 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: 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