Sat, Sep 2 2023
·
Week 1
·
🏟 Beaver Stadium
University Park, PA
·
Turf
·
106,572 cap
West Virginia✈ 136 miSame TZ
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
50.6%
—
Toss-up
Vegas Spread
Penn State -21
O/U 48.0
Caesars Sportsbook (Colorado)
Advanced Stats
All 4 factors agree → Penn State
· 83.1% ATS historically when all four align
↓ See full breakdown
West Virginia 2023 Schedule
West Virginia's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | West Virginia at Penn State | +21.0L15–38 | 48.0 | L15–38 | O | N |
| Sat 9/9 | West Virginia vs Duquesne | -38.5W56–17 | 55.5 | W56–17 | O | Y |
| Sat 9/16 | West Virginia vs Pittsburgh | -2.5W17–6 | 48.0 | W17–6 | U | Y |
| Sat 9/23 | West Virginia vs Texas Tech | +6.0W20–13 | 53.5 | W20–13 | U | Y |
| Sat 9/30 | West Virginia at TCU | +14.0W24–21 | 52.0 | W24–21 | U | Y |
| — Bye Week — | ||||||
| Thu 10/12 | West Virginia at Houston | -3.0L39–41 | 49.5 | L39–41 | O | N |
| Sat 10/21 | West Virginia vs Oklahoma State | -3.0L34–48 | 48.0 | L34–48 | O | N |
| Sat 10/28 | West Virginia at UCF | +6.5W41–28 | 59.5 | W41–28 | O | Y |
| Sat 11/4 | West Virginia vs BYU | -13.0W37–7 | 48.5 | W37–7 | U | Y |
| Sat 11/11 | West Virginia at Oklahoma | +13.5L20–59 | 59.5 | L20–59 | O | N |
| Sat 11/18 | West Virginia vs Cincinnati | -4.5W42–21 | 52.5 | W42–21 | O | Y |
| Sat 11/25 | West Virginia at Baylor | -6.5W34–31 | 53.5 | W34–31 | O | N |
| Wed 12/27 | West Virginia vs North Carolina | -4.5W30–10 | 62.0 | W30–10 | U | Y |
Penn State 2023 Schedule
Penn State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Penn State vs West Virginia | -21.0W38–15 | 48.0 | W38–15 | O | Y |
| Sat 9/9 | Penn State vs Delaware | -44.0W63–7 | 55.0 | W63–7 | O | Y |
| Sat 9/16 | Penn State at Illinois | -14.0W30–13 | 47.5 | W30–13 | U | Y |
| Sat 9/23 | Penn State vs Iowa | -14.0W31–0 | 38.5 | W31–0 | U | Y |
| Sat 9/30 | Penn State at Northwestern | -27.0W41–13 | 48.0 | W41–13 | O | Y |
| — Bye Week — | ||||||
| Sat 10/14 | Penn State vs Massachusetts | -42.0W63–0 | 55.0 | W63–0 | O | Y |
| Sat 10/21 | Penn State at Ohio State | +4.0L12–20 | 47.0 | L12–20 | U | N |
| Sat 10/28 | Penn State vs Indiana | -31.0W33–24 | 45.0 | W33–24 | O | N |
| Sat 11/4 | Penn State at Maryland | -8.5W51–15 | 50.5 | W51–15 | O | Y |
| Sat 11/11 | Penn State vs Michigan | +4.0L15–24 | 44.5 | L15–24 | U | N |
| Sat 11/18 | Penn State vs Rutgers | -19.5W27–6 | 39.5 | W27–6 | U | Y |
| Fri 11/24 | Penn State vs Michigan State | -20.0W42–0 | 42.0 | W42–0 | U | Y |
| Sat 12/30 | Penn State vs Ole Miss | -5.5L25–38 | 53.0 | L25–38 | 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
→ Penn State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Penn State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Penn State
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?
West Virginia Edge
West Virginia +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
West Virginia Edge
West Virginia +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Penn State
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
Penn State
94.9 — 2.3 GC score
✗ Predicted incorrectly
Game Result
Penn State won by 23
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Penn State, 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
West Virginia
Neal Brown #1
24–26 (48%)
· Yr 5 at school
OC
Chad Scott
Yr 1
#1
DC
ShaDon Brown
Yr 3
#1
Penn State
James Franklin #1
81–36 (69%)
· Yr 10 at school
OC
Mike Yurcich
Yr 3
#1
DC
Manny Diaz
Yr 2
#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 ✓