Marshall at Virginia Tech Week 2 College Football Matchup Marshall at Virginia Tech Matchup - Week 2
Sat, Sep 7 2024 · Week 2 · 🏟 Lane Stadium Blacksburg, VA · Turf · 66,233 cap
Marshall✈ 137 miSame TZ
Away
14 31
Final
📊 Punt & Rally Projection
Marshall
20
Virginia Tech
33
P&R Line Virginia Tech -12.5
P&R Total O/U 52.5
Confidence 90 High
Vegas Virginia Tech -20.5 · O/U 52.5
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
75.9%
Marshall wins
Solid
Vegas Spread
Virginia Tech -20.5
O/U 52.5
ESPN Bet
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → Virginia Tech · 82.4% ATS historically
↓ See full breakdown
Marshall 2024 Schedule
Marshall's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31Marshall vs Stony Brook-32.5W45–356.5W45–3UY
Sat 9/7Marshall at Virginia Tech+20.5L14–3152.5L14–31UY
— Bye Week —
Sat 9/21Marshall at Ohio State+40.0L14–4957.0L14–49OY
Sat 9/28Marshall vs Western Michigan-3.5W27–2053.5W27–20UY
Sat 10/5Marshall vs App State-3.0W52–3756.5W52–37OY
Sat 10/12Marshall at Georgia Southern+1.0L23–2458.5L23–24UY
Thu 10/17Marshall vs Georgia State-9.5W35–2051.5W35–20OY
— Bye Week —
Sat 11/2Marshall vs UL Monroe-10.5W28–2348.0W28–23ON
Sat 11/9Marshall at Southern Miss-13.5W37–353.5W37–3UY
Sat 11/16Marshall vs Coastal Carolina-7.5W31–1957.0W31–19UY
Sat 11/23Marshall at Old Dominion+3.0W42–3551.0W42–35OY
Sat 11/30Marshall at James Madison+2.5W35–3352.5W35–33OY
Sat 12/7Marshall at Louisiana+5.0W31–358.0W31–3UY
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
Virginia Tech 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
3 Agree
→ Virginia Tech
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Marshall #60
+0.290
Virginia Tech #75
+0.311
Virginia Tech Edge
PPA Passing
Pass efficiency edge · Strong predictor
Marshall #82
+0.405
Virginia Tech #100
+0.295
Marshall Edge
Havoc Total
Def. disruption rate · Strong predictor
Marshall #19
0.190
Virginia Tech #10
0.201
TFLs, sacks, PBUs, forced fumbles — higher is better
Virginia Tech Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Marshall #66
+6.901
Virginia Tech #40
+8.092
Virginia Tech Edge
Success Rate
Play consistency edge · Solid predictor
Marshall #66
+0.817
Virginia Tech #87
+0.816
Marshall Edge
Field Position
Avg start (lower=better) · Solid predictor
Marshall #26
68.9
Virginia Tech #46
69.8
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Marshall 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
Virginia Tech Rated Higher
Overall Power Rating
Marshall
-3.1
Virginia Tech
5.9
Offense Rating
Marshall
13.9
Virginia Tech
18.3
Defense Rating (lower = better defense)
Marshall
17.0
Virginia Tech
12.4
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Marshall Edge
Avg sequences created per game
Marshall #120
0.00
Virginia Tech #8
2.00
Avg sequences allowed per game (lower is better)
Marshall #94
0.00
Virginia Tech #64
2.00
Marshall +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Marshall Edge
Avg GC score per game (offense)
Marshall #1
72.4
Virginia Tech #1
15.2
Avg GC score allowed per game (lower is better)
Marshall #22
9.6
Virginia Tech #41
63.5
Marshall +57.2
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Virginia Tech
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Virginia Tech
55.1 — 20.2 GC score
✗ Predicted incorrectly
Game Result
Virginia Tech won by 17
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
Marshall
Charles Huff #1
22–17 (56%) · Yr 4 at school
OC Seth Doege Yr 1 #1
DC Jason Semore Yr 2 #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: 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