Minnesota at Virginia Tech Week 1 College Football Matchup Minnesota at Virginia Tech Matchup - Week 1
Sat, Jan 4 2025 · Postseason · Neutral Site · 🏟 Bank of America Stadium Charlotte, NC · Turf · 75,412 cap
Minnesota✈ 936 mi+1 hr TZ Virginia Tech✈ 139 miSame TZ
Away (Neutral)
24 10
Final
Home (Neutral)
📊 Punt & Rally Projection
Minnesota
22
VT +10
Virginia Tech
23
P&R Line Virginia Tech -0
P&R Total O/U 45.5
Confidence 86 High
Vegas Minnesota -10 · O/U 43.5
Matchup Prediction
Virginia Tech has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Virginia Tech entering this game.
Momentum Control
58.4%
Virginia Tech wins
Lean
Game Control
58.6%
Virginia Tech wins
Lean
Vegas Spread
Minnesota -10
O/U 43.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Minnesota · 73.9% ATS historically
↓ See full breakdown
🏠 Virginia Tech 2nd straight Home Game 🚌 Minnesota 2nd straight Road Game
Minnesota 2024 Schedule
Minnesota's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 8/29Minnesota vs North Carolina+2.0L17–1952.5L17–19UY
Sat 9/7Minnesota vs Rhode Island-27.5W48–047.5W48–0OY
Sat 9/14Minnesota vs Nevada-17.5W27–044.5W27–0UY
Sat 9/21Minnesota vs Iowa+3.0L14–3134.5L14–31ON
Sat 9/28Minnesota at Michigan+10.5L24–2734.5L24–27OY
Sat 10/5Minnesota vs USC+8.5W24–1745.5W24–17UY
Sat 10/12Minnesota at UCLA-3.5W21–1739.0W21–17UY
— Bye Week —
Sat 10/26Minnesota vs Maryland-6.0W48–2345.0W48–23OY
Sat 11/2Minnesota at Illinois-2.5W25–1747.0W25–17UY
Sat 11/9Minnesota at Rutgers-6.5L19–2644.5L19–26ON
— Bye Week —
Sat 11/23Minnesota vs Penn State+11.0L25–2645.0L25–26OY
Fri 11/29Minnesota at Wisconsin-1.5W24–740.5W24–7UY
Fri 1/3Minnesota vs Virginia Tech-10.0W24–1043.5W24–10UY
Virginia Tech 2024 Schedule
Virginia Tech's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31Virginia Tech at Vanderbilt-13.5L27–3453.5L27–34ON
Sat 9/7Virginia Tech vs Marshall-20.5W31–1452.5W31–14UN
Sat 9/14Virginia Tech at Old Dominion-15.5W37–1747.5W37–17OY
Sat 9/21Virginia Tech vs Rutgers-3.0L23–2645.0L23–26ON
Fri 9/27Virginia Tech at Miami+17.5L34–3855.5L34–38OY
Sat 10/5Virginia Tech at Stanford-9.5W31–750.0W31–7UY
— Bye Week —
Thu 10/17Virginia Tech vs Boston College-8.5W42–2147.5W42–21OY
Sat 10/26Virginia Tech vs Georgia Tech-11.0W21–652.0W21–6UY
Sat 11/2Virginia Tech at Syracuse-3.5L31–3854.0L31–38ON
Sat 11/9Virginia Tech vs Clemson+6.5L14–2454.5L14–24UN
— Bye Week —
Sat 11/23Virginia Tech at Duke-2.5L28–3145.5L28–31ON
Sat 11/30Virginia Tech vs Virginia-4.5W37–1744.5W37–17OY
Fri 1/3Virginia Tech vs Minnesota+10.0L10–2443.5L10–24UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2024 season
Minnesota 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
→ Minnesota
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Minnesota #64
+0.282
Virginia Tech #75
+0.255
Minnesota Edge
PPA Passing
Pass efficiency edge · Strong predictor
Minnesota #58
+0.448
Virginia Tech #100
+0.317
Minnesota Edge
Havoc Total
Def. disruption rate · Strong predictor
Minnesota #18
0.194
Virginia Tech #10
0.201
TFLs, sacks, PBUs, forced fumbles — higher is better
Virginia Tech Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Minnesota #27
+7.356
Virginia Tech #40
+7.540
Virginia Tech Edge
Success Rate
Play consistency edge · Solid predictor
Minnesota #39
+0.837
Virginia Tech #87
+0.805
Minnesota Edge
Field Position
Avg start (lower=better) · Solid predictor
Minnesota #78
71.4
Virginia Tech #46
69.8
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Virginia Tech Edge
Advanced stats sourced from CFBD · 2024 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Minnesota Rated Higher
Overall Power Rating
Minnesota
6.0
Virginia Tech
5.9
Offense Rating
Minnesota
16.9
Virginia Tech
18.4
Defense Rating (lower = better defense)
Minnesota
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 Tech Edge
Avg sequences created per game
Minnesota #46
0.91
Virginia Tech #8
1.75
Avg sequences allowed per game (lower is better)
Minnesota #37
0.73
Virginia Tech #64
1.00
Virginia Tech +0.84
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? Virginia Tech Edge
Avg GC score per game (offense)
Minnesota #1
46.2
Virginia Tech #1
55.5
Avg GC score allowed per game (lower is better)
Minnesota #36
32.6
Virginia Tech #41
29.9
Virginia Tech +9.2
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 Virginia Tech. 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
Minnesota
P. J. Fleck #1
50–34 (60%) · Yr 8 at school
OC Greg Harbaugh Jr. Yr 2 #1
DC Corey Hetherman Yr 1 #1
Staff Rating
0.00 #1
Virginia Tech
Brent Pry #1
10–14 (42%) · Yr 3 at school
OC Tyler Bowen Yr 3 #1
DC Chris Marve Yr 3 #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