Sat, Nov 15 2025
·
Week 12
·
🏟 Martin Stadium
Pullman, WA
·
Turf
·
32,248 cap
Louisiana Tech✈ 1,620 mi-2 hr 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
64.9%
Louisiana Tech wins
Lean
Vegas Spread
Washington State -10
O/U 43.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Louisiana Tech
· 73.9% ATS historically
↓ See full breakdown
Louisiana Tech 2025 Schedule
Louisiana Tech's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Louisiana Tech vs SE Louisiana | -14.5W24–0 | 50.5 | W24–0 | U | Y |
| Sat 9/6 | Louisiana Tech at LSU | +36.5L7–23 | 49.5 | L7–23 | U | Y |
| Sat 9/13 | Louisiana Tech vs New Mexico State | -10.0W49–14 | 42.5 | W49–14 | O | Y |
| Sat 9/20 | Louisiana Tech vs Southern Miss | -3.0W30–20 | 51.5 | W30–20 | U | Y |
| Sat 9/27 | Louisiana Tech at UTEP | -3.5W30–11 | 48.5 | W30–11 | U | Y |
| — Bye Week — | ||||||
| Thu 10/9 | Louisiana Tech at Kennesaw State | -4.5L7–35 | 46.5 | L7–35 | U | N |
| — Bye Week — | ||||||
| Tue 10/21 | Louisiana Tech vs Western Kentucky | -5.5L27–28 | 49.5 | L27–28 | O | N |
| Fri 10/31 | Louisiana Tech vs Sam Houston | -16.5W55–14 | 48.0 | W55–14 | O | Y |
| Sat 11/8 | Louisiana Tech at Delaware | -5.5L24–25 | 57.5 | L24–25 | U | N |
| Sat 11/15 | Louisiana Tech at Washington State | +10.0L3–28 | 43.5 | L3–28 | U | N |
| Sat 11/22 | Louisiana Tech vs Liberty | +1.5W34–28 | 45.5 | W34–28 | O | Y |
| Sat 11/29 | Louisiana Tech at Missouri State | +2.5W42–30 | 45.0 | W42–30 | O | Y |
| Tue 12/30 | Louisiana Tech vs Coastal Carolina | -10.0W23–14 | 51.0 | W23–14 | U | N |
Washington State 2025 Schedule
Washington State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Washington State vs Idaho | -16.5W13–10 | 50.5 | W13–10 | U | N |
| Sat 9/6 | Washington State vs San Diego State | -2.0W36–13 | 46.5 | W36–13 | O | Y |
| Sat 9/13 | Washington State at North Texas | +6.5L10–59 | 57.5 | L10–59 | O | N |
| Sat 9/20 | Washington State vs Washington | +21.0L24–59 | 51.5 | L24–59 | O | N |
| Sat 9/27 | Washington State at Colorado State | +4.5W20–3 | 48.5 | W20–3 | U | Y |
| — Bye Week — | ||||||
| Sat 10/11 | Washington State at Ole Miss | +33.5L21–24 | 58.5 | L21–24 | U | Y |
| Sat 10/18 | Washington State at Virginia | +16.5L20–22 | 56.5 | L20–22 | U | Y |
| Sat 10/25 | Washington State vs Toledo | +1.5W28–7 | 44.5 | W28–7 | U | Y |
| Sat 11/1 | Washington State at Oregon State | -3.5L7–10 | 47.5 | L7–10 | U | N |
| — Bye Week — | ||||||
| Sat 11/15 | Washington State vs Louisiana Tech | -10.0W28–3 | 43.5 | W28–3 | U | Y |
| Sat 11/22 | Washington State at James Madison | +15.0L20–24 | 44.5 | L20–24 | U | Y |
| Sat 11/29 | Washington State vs Oregon State | -14.0W32–8 | 42.5 | W32–8 | U | Y |
| Mon 12/22 | Washington State vs Utah State | +1.0W34–21 | 50.0 | W34–21 | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Louisiana 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 · 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?
Louisiana Tech +0.00
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?
Louisiana Tech Edge
Louisiana Tech +11.2
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Washington State
1 — 0 sequences
GC Battle
Washington State
90.3 — 5.7 GC score
✗ Predicted incorrectly
Game Result
Washington State won by 25
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Louisiana Tech
Sonny Cumbie #1
11–25 (31%)
· Yr 4 at school
OC
Tony Franklin
Yr 1
#1
DC
Jeremiah Johnson
Yr 2
#1
Washington State
Jimmy Rogers #1
0–0 (0%)
· Yr 1 at school
OC
Danny Freund
Yr 1
#1
DC
Jesse Bobbit
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 ✓