Thu, Jan 1 2026
·
Postseason
·
Neutral Site
·
🏟 Hard Rock Stadium
Miami Gardens, FL
·
Turf
·
65,326 cap
Oregon✈ 2,687 mi+3 hr TZ
Texas Tech✈ 1,397 mi+1 hr TZ
Matchup Prediction
Texas Tech
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Texas Tech entering this game.
Momentum Control
58.4%
Texas Tech wins
Lean
Game Control
58.6%
Texas Tech wins
Lean
Vegas Spread
Texas Tech -1.5
O/U 50.5
Draft Kings
Advanced Stats
All 4 factors agree → Texas Tech
· 83.1% ATS historically when all four align
↓ See full breakdown
Oregon 2025 Schedule
Oregon's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Oregon vs Montana State | -28.0W59–13 | 56.5 | W59–13 | O | Y |
| Sat 9/6 | Oregon vs Oklahoma State | -28.5W69–3 | 55.5 | W69–3 | O | Y |
| Sat 9/13 | Oregon at Northwestern | -25.5W34–14 | 50.5 | W34–14 | U | N |
| Sat 9/20 | Oregon vs Oregon State | -33.5W41–7 | 58.5 | W41–7 | U | Y |
| Sat 9/27 | Oregon at Penn State | +4.5W30–24 | 52.5 | W30–24 | O | Y |
| — Bye Week — | ||||||
| Sat 10/11 | Oregon vs Indiana | -7.0L20–30 | 51.5 | L20–30 | U | N |
| Sat 10/18 | Oregon at Rutgers | -17.5W56–10 | 62.5 | W56–10 | O | Y |
| Sat 10/25 | Oregon vs Wisconsin | -31.5W21–7 | 44.5 | W21–7 | U | N |
| — Bye Week — | ||||||
| Sat 11/8 | Oregon at Iowa | -4.5W18–16 | 41.5 | W18–16 | U | N |
| Fri 11/14 | Oregon vs Minnesota | -26.5W42–13 | 45.5 | W42–13 | O | Y |
| Sat 11/22 | Oregon vs USC | -10.5W42–27 | 59.5 | W42–27 | O | Y |
| Sat 11/29 | Oregon at Washington | -6.5W26–14 | 51.5 | W26–14 | U | Y |
| Sat 12/20 | Oregon vs James Madison | -22.5W51–34 | 47.5 | W51–34 | O | N |
| Thu 1/1 | Oregon vs Texas Tech | +1.5W23–0 | 50.5 | W23–0 | U | Y |
| Fri 1/9 | Oregon vs Indiana | +3.0L22–56 | 50.5 | L22–56 | O | N |
Texas Tech 2025 Schedule
Texas Tech's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Texas Tech vs Arkansas-Pine Bluff | -54.5W67–7 | 63.5 | W67–7 | O | Y |
| Sat 9/6 | Texas Tech vs Kent State | -48.5W62–14 | 60.0 | W62–14 | O | N |
| Sat 9/13 | Texas Tech vs Oregon State | -24.5W45–7 | 61.5 | W45–7 | U | Y |
| Sat 9/20 | Texas Tech at Utah | +3.5W34–10 | 58.5 | W34–10 | U | Y |
| — Bye Week — | ||||||
| Sat 10/4 | Texas Tech at Houston | -13.5W35–11 | 51.5 | W35–11 | U | Y |
| Sat 10/11 | Texas Tech vs Kansas | -13.5W42–17 | 58.5 | W42–17 | O | Y |
| Sat 10/18 | Texas Tech at Arizona State | -7.5L22–26 | 52.5 | L22–26 | U | N |
| Sat 10/25 | Texas Tech vs Oklahoma State | -37.5W42–0 | 56.5 | W42–0 | U | Y |
| Sat 11/1 | Texas Tech at Kansas State | -7.5W43–20 | 51.5 | W43–20 | O | Y |
| Sat 11/8 | Texas Tech vs BYU | -13.5W29–7 | 50.5 | W29–7 | U | Y |
| Sat 11/15 | Texas Tech vs UCF | -24.5W48–9 | 48.5 | W48–9 | O | Y |
| — Bye Week — | ||||||
| Sat 11/29 | Texas Tech at West Virginia | -24.5W49–0 | 53.5 | W49–0 | U | Y |
| Sat 12/6 | Texas Tech vs BYU | -12.5W34–7 | 50.5 | W34–7 | U | Y |
| Thu 1/1 | Texas Tech vs Oregon | -1.5L0–23 | 50.5 | L0–23 | U | N |
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
→ Texas Tech
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Texas Tech
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Texas 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?
Texas Tech Edge
Texas Tech +0.75
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 12 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Texas Tech Edge
Texas Tech +7.0
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 13 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Texas Tech. 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
Oregon
Dan Lanning #1
35–5 (88%)
· Yr 4 at school
OC
Will Stein
Yr 1
#1
DC
Tosh Lupoi
Yr 3
#1
Texas Tech
Joey McGuire #1
23–15 (61%)
· Yr 4 at school
OC
Mack Leftwich
Yr 1
#1
DC
Shiel Wood
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 ✓

