Sat, Nov 4 2023
·
Week 10
·
🏟 Papa John's Cardinal Stadium
Louisville, KY
·
Turf
·
55,000 cap
Virginia Tech✈ 299 miSame TZ
Matchup Prediction
Louisville
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Louisville entering this game.
Momentum Control
58.4%
Louisville wins
Lean
Game Control
76%
Louisville wins
Strong
Vegas Spread
Louisville -9.5
O/U 48.5
DraftKings
Advanced Stats
All 4 factors agree → Louisville
· 83.1% ATS historically when all four align
↓ 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 |
Louisville 2023 Schedule
Louisville's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/1 | Louisville vs Georgia Tech | -7.0W39–34 | 49.5 | W39–34 | O | N |
| Thu 9/7 | Louisville vs Murray State | -43.5W56–0 | 55.5 | W56–0 | O | Y |
| Sat 9/16 | Louisville vs Indiana | -10.0W21–14 | 51.0 | W21–14 | U | N |
| Sat 9/23 | Louisville vs Boston College | -14.0W56–28 | 53.0 | W56–28 | O | Y |
| Fri 9/29 | Louisville at NC State | -3.5W13–10 | 56.5 | W13–10 | U | N |
| Sat 10/7 | Louisville vs Notre Dame | +6.5W33–20 | 53.0 | W33–20 | U | Y |
| Sat 10/14 | Louisville at Pittsburgh | -7.5L21–38 | 44.5 | L21–38 | O | N |
| — Bye Week — | ||||||
| Sat 10/28 | Louisville vs Duke | -5.0W23–0 | 47.0 | W23–0 | U | Y |
| Sat 11/4 | Louisville vs Virginia Tech | -9.5W34–3 | 48.5 | W34–3 | U | Y |
| Thu 11/9 | Louisville vs Virginia | -20.5W31–24 | 49.5 | W31–24 | O | N |
| Sat 11/18 | Louisville at Miami | +1.5W38–31 | 46.5 | W38–31 | O | Y |
| Sat 11/25 | Louisville vs Kentucky | -7.5L31–38 | 47.5 | L31–38 | O | N |
| Sat 12/2 | Louisville vs Florida State | +3.5L6–16 | 51.0 | L6–16 | U | N |
| Wed 12/27 | Louisville vs USC | -4.5L28–42 | 58.0 | L28–42 | 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
All 4 Agree
→ Louisville
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Louisville
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Louisville
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?
Louisville Edge
Louisville +0.39
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisville Edge
Louisville +20.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 8 games this season
Actual Result
CSS Battle
Louisville
2 — 0 sequences
✓ Predicted correctly
GC Battle
Louisville
86.8 — 5.8 GC score
✓ Predicted correctly
Game Result
Louisville won by 31
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Louisville with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
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
Louisville
Jeff Brohm #1
3–0 (100%)
· Yr 1 at school
OC
Brian Brohm
Yr 1
#1
DC
Ron English
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: 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 ✓
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 ✓

