Sat, Nov 15 2025
·
Week 12
·
🏟 Sun Devil Stadium
Tempe, AZ
·
Turf
·
56,232 cap
West Virginia✈ 1,816 mi-3 hr TZ
Matchup Prediction
Arizona State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Arizona State entering this game.
Momentum Control
58.4%
Arizona State wins
Lean
Game Control
58.6%
Arizona State wins
Lean
Vegas Spread
Arizona State -10
O/U 46.5
DraftKings
Advanced Stats
All 4 factors agree → Arizona State
· 83.1% ATS historically when all four align
↓ See full breakdown
West Virginia 2025 Schedule
West Virginia's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | West Virginia vs Robert Morris | -40.0W45–3 | 56.5 | W45–3 | U | Y |
| Sat 9/6 | West Virginia at Ohio | -3.5L10–17 | 58.5 | L10–17 | U | N |
| Sat 9/13 | West Virginia vs Pittsburgh | +6.5W31–24 | 54.5 | W31–24 | O | Y |
| Sat 9/20 | West Virginia at Kansas | +12.5L10–41 | 54.5 | L10–41 | U | N |
| Sat 9/27 | West Virginia vs Utah | +13.5L14–48 | 46.5 | L14–48 | O | N |
| Fri 10/3 | West Virginia at BYU | +19.5L24–38 | 46.5 | L24–38 | O | Y |
| — Bye Week — | ||||||
| Sat 10/18 | West Virginia at UCF | +6.5L13–45 | 46.5 | L13–45 | O | N |
| Sat 10/25 | West Virginia vs TCU | +16.5L17–23 | 55.5 | L17–23 | U | Y |
| Sat 11/1 | West Virginia at Houston | +13.5W45–35 | 48.5 | W45–35 | O | Y |
| Sat 11/8 | West Virginia vs Colorado | -6.5W29–22 | 51.5 | W29–22 | U | Y |
| Sat 11/15 | West Virginia at Arizona State | +10.0L23–25 | 46.5 | L23–25 | O | Y |
| — Bye Week — | ||||||
| Sat 11/29 | West Virginia vs Texas Tech | +24.5L0–49 | 53.5 | L0–49 | U | N |
Arizona State 2025 Schedule
Arizona State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Arizona State vs Northern Arizona | -29.5W38–19 | 52.5 | W38–19 | O | N |
| Sat 9/6 | Arizona State at Mississippi State | -6.0L20–24 | 58.5 | L20–24 | U | N |
| Sat 9/13 | Arizona State vs Texas State | -18.5W34–15 | 61.5 | W34–15 | U | Y |
| Sat 9/20 | Arizona State at Baylor | +3.0W27–24 | 60.5 | W27–24 | U | Y |
| Fri 9/26 | Arizona State vs TCU | -2.5W27–24 | 54.5 | W27–24 | U | Y |
| — Bye Week — | ||||||
| Sat 10/11 | Arizona State at Utah | +9.5L10–42 | 44.5 | L10–42 | O | N |
| Sat 10/18 | Arizona State vs Texas Tech | +7.5W26–22 | 52.5 | W26–22 | U | Y |
| Sat 10/25 | Arizona State vs Houston | -7.0L16–24 | 46.5 | L16–24 | U | N |
| Sat 11/1 | Arizona State at Iowa State | +7.5W24–19 | 48.5 | W24–19 | U | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Arizona State vs West Virginia | -10.0W25–23 | 46.5 | W25–23 | O | N |
| Sat 11/22 | Arizona State at Colorado | -7.0W42–17 | 47.5 | W42–17 | O | Y |
| Fri 11/28 | Arizona State vs Arizona | +2.0L7–23 | 48.5 | L7–23 | U | N |
| Wed 12/31 | Arizona State vs Duke | +4.0L39–42 | 49.5 | L39–42 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Arizona State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Arizona State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Arizona 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 · 2025 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?
Arizona State Edge
Arizona State +0.92
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 8 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Arizona State Edge
Arizona State +8.3
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Arizona State
65.5 — 16.0 GC score
✓ Predicted correctly
Game Result
Arizona State won by 2
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Arizona State. 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
West Virginia
Rich Rodriguez #1
60–26 (70%)
· Yr 1 at school
OC
Rich Rodriguez
Yr 1
#1
DC
Zac Alley
Yr 1
#1
Arizona State
Kenny Dillingham #1
14–11 (56%)
· Yr 3 at school
OC
Marcus Arroyo
Yr 2
#1
DC
Brian Ward
Yr 3
#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 ✓

