Sat, Oct 31 2026
·
Week 9
·
🏟 Snapdragon Stadium
San Diego, CA
·
Turf
·
35,000 cap
Washington State✈ 963 miSame TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Washington State,
while Game Control favors San Diego State.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Washington State wins
Lean
Game Control
50.6%
San Diego State wins
Toss-up
Advanced Stats
All 4 factors agree → San Diego State
· 83.1% ATS historically when all four align
↓ See full breakdown
Washington State 2026 Schedule
Washington State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Washington State at Washington | +18 | — | — | — | — |
| Sat 9/12 | Washington State at Kansas State | +10 | — | — | — | — |
| Sat 9/19 | Washington State vs Duquesne | -22.5 | — | — | — | — |
| Sat 9/26 | Washington State vs Arizona | +9 | — | — | — | — |
| Sat 10/3 | Washington State vs Fresno State | +0.5 | — | — | — | — |
| Fri 10/9 | Washington State at Utah State | -2.5 | — | — | — | — |
| Sat 10/17 | Washington State at Oregon State | -8 | — | — | — | — |
| Sat 10/24 | Washington State vs Boise State | +1.5 | — | — | — | — |
| Sat 10/31 | Washington State at San Diego State | +8.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 11/14 | Washington State vs Colorado State | -14 | — | — | — | — |
| Sat 11/21 | Washington State at Texas State | +6.5 | — | — | — | — |
| Sat 11/28 | Washington State vs TBD | -22.5 | — | — | — | — |
San Diego State 2026 Schedule
San Diego State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | San Diego State vs Portland State | -28 | — | — | — | — |
| Sat 9/12 | San Diego State at UCLA | +3.5 | — | — | — | — |
| Sat 9/19 | San Diego State vs James Madison | -2 | — | — | — | — |
| Sat 9/26 | San Diego State at Toledo | +1.5 | — | — | — | — |
| Sat 10/3 | San Diego State vs Texas State | -4.5 | — | — | — | — |
| Sat 10/10 | San Diego State at Oregon State | -14 | — | — | — | — |
| Sat 10/17 | San Diego State vs Fresno State | -5.5 | — | — | — | — |
| Sat 10/24 | San Diego State at Colorado State | -15 | — | — | — | — |
| Sat 10/31 | San Diego State vs Washington State | -8.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 11/14 | San Diego State vs Utah State | -13.5 | — | — | — | — |
| Sat 11/21 | San Diego State at Boise State | +0.5 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ San Diego State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ San Diego State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ San Diego 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 (prior year — 2026 data not yet available) ·
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?
Washington State Edge
Washington State +0.08
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
San Diego State Edge
San Diego State +2.8
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Washington State
Kirby Moore #77
0–0 (0%)
· Yr 1 at school
OC
Matt Miller
Yr 1
#67
DC
Trent Bray
Yr 1
#33
San Diego State
Sean Lewis #67
12–13 (48%)
· Yr 3 at school
OC
Sean Lewis
Yr 3
#121
DC
Demetrius Sumler
Yr 1
#68
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 ✓