Sat, Sep 23 2023
·
Week 4
·
🏟 Joan C. Edwards Stadium
Huntington, WV
·
Turf
·
38,019 cap
Virginia Tech✈ 137 miSame TZ
Matchup Prediction
Marshall
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Marshall entering this game.
Momentum Control
71.6%
Marshall wins
Solid
Game Control
50.6%
Marshall wins
Toss-up
Vegas Spread
Marshall -5.5
O/U 41.5
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Virginia Tech
· 73.9% ATS historically
↓ See full breakdown
Virginia Tech 2023 Schedule
Virginia Tech's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Virginia Tech vs Old Dominion | -16.0W36–17 | 48.0 | W36–17 | O | Y |
| Sat 9/9 | Virginia Tech vs Purdue | -1.5L17–24 | 49.0 | L17–24 | U | N |
| Sat 9/16 | Virginia Tech at Rutgers | +6.5L16–35 | 37.5 | L16–35 | O | N |
| Sat 9/23 | Virginia Tech at Marshall | +5.5L17–24 | 41.5 | L17–24 | U | N |
| Sat 9/30 | Virginia Tech vs Pittsburgh | +3.0W38–21 | 40.0 | W38–21 | O | Y |
| Sat 10/7 | Virginia Tech at Florida State | +23.5L17–39 | 52.5 | L17–39 | O | Y |
| Sat 10/14 | Virginia Tech vs Wake Forest | -1.5W30–13 | 48.5 | W30–13 | U | Y |
| — Bye Week — | ||||||
| Thu 10/26 | Virginia Tech vs Syracuse | -2.5W38–10 | 47.5 | W38–10 | O | Y |
| Sat 11/4 | Virginia Tech at Louisville | +9.5L3–34 | 48.5 | L3–34 | U | N |
| Sat 11/11 | Virginia Tech at Boston College | -2.5W48–22 | 48.5 | W48–22 | O | Y |
| Sat 11/18 | Virginia Tech vs NC State | -2.5L28–35 | 40.5 | L28–35 | O | N |
| Sat 11/25 | Virginia Tech at Virginia | -2.5W55–17 | 52.5 | W55–17 | O | Y |
| Wed 12/27 | Virginia Tech vs Tulane | -13.5W41–20 | 43.5 | W41–20 | O | Y |
Marshall 2023 Schedule
Marshall's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Marshall vs UAlbany | -22.0W21–17 | 47.5 | W21–17 | U | N |
| Sat 9/9 | Marshall at East Carolina | -3.0W31–13 | 43.5 | W31–13 | O | Y |
| — Bye Week — | ||||||
| Sat 9/23 | Marshall vs Virginia Tech | -5.5W24–17 | 41.5 | W24–17 | U | Y |
| Sat 9/30 | Marshall vs Old Dominion | -14.5W41–35 | 47.0 | W41–35 | O | N |
| Sat 10/7 | Marshall at NC State | +6.5L41–48 | 44.0 | L41–48 | O | N |
| Sat 10/14 | Marshall at Georgia State | +2.0L24–41 | 53.5 | L24–41 | O | N |
| Thu 10/19 | Marshall vs James Madison | +5.0L9–20 | 49.0 | L9–20 | U | N |
| Sat 10/28 | Marshall at Coastal Carolina | -3.5L6–34 | 47.0 | L6–34 | U | N |
| Sat 11/4 | Marshall at App State | +3.0L9–31 | 57.5 | L9–31 | U | N |
| Sat 11/11 | Marshall vs Georgia Southern | +1.5W38–33 | 56.5 | W38–33 | O | Y |
| Sat 11/18 | Marshall at South Alabama | +10.5L0–28 | 44.5 | L0–28 | U | N |
| Sat 11/25 | Marshall vs Arkansas State | -2.0W35–21 | 54.0 | W35–21 | O | Y |
| Tue 12/19 | Marshall vs UTSA | +7.0L17–35 | 47.0 | L17–35 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 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
Both Agree
→ Virginia Tech
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 · 2023 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?
Marshall Edge
Marshall +1.67
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Marshall Edge
Marshall +5.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Marshall
1 — 0 sequences
✓ Predicted correctly
GC Battle
Marshall
59.0 — 26.0 GC score
✓ Predicted correctly
Game Result
Marshall won by 7
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Marshall, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Virginia Tech
Brent Pry #1
4–10 (29%)
· Yr 2 at school
OC
Tyler Bowen
Yr 2
#1
DC
Chris Marve
Yr 2
#1
Marshall
Charles Huff #1
18–10 (64%)
· Yr 3 at school
OC
Clint Trickett
Yr 2
#1
DC
Jason Semore
Yr 1
#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 ✓