Sat, Nov 15 2025
·
Week 12
·
🏟 Skelly Field at H. A. Chapman Stadium
Tulsa, OK
·
Turf
·
30,000 cap
Oregon State✈ 1,543 mi+2 hr TZ
Matchup Prediction
Tulsa
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Tulsa entering this game.
Momentum Control
58.4%
Tulsa wins
Lean
Game Control
50.6%
Tulsa wins
Toss-up
Vegas Spread
Tulsa -1.5
O/U 50.5
ESPN Bet
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Oregon State 2025 Schedule
Oregon State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Oregon State vs California | -3.0L15–34 | 51.5 | L15–34 | U | N |
| Sat 9/6 | Oregon State vs Fresno State | -1.0L27–36 | 45.5 | L27–36 | O | N |
| Sat 9/13 | Oregon State at Texas Tech | +24.5L7–45 | 61.5 | L7–45 | U | N |
| Sat 9/20 | Oregon State at Oregon | +33.5L7–41 | 58.5 | L7–41 | U | N |
| Fri 9/26 | Oregon State vs Houston | +11.5L24–27 | 48.5 | L24–27 | O | Y |
| Sat 10/4 | Oregon State at App State | +1.5L23–27 | 53.5 | L23–27 | U | N |
| Sat 10/11 | Oregon State vs Wake Forest | +1.5L14–39 | 47.5 | L14–39 | O | N |
| Sat 10/18 | Oregon State vs Lafayette | -21.0W45–13 | 56.5 | W45–13 | O | Y |
| — Bye Week — | ||||||
| Sat 11/1 | Oregon State vs Washington State | +3.5W10–7 | 47.5 | W10–7 | U | Y |
| Sat 11/8 | Oregon State vs Sam Houston | -21.0L17–21 | 52.5 | L17–21 | U | N |
| Sat 11/15 | Oregon State at Tulsa | +1.5L14–31 | 50.5 | L14–31 | U | N |
| — Bye Week — | ||||||
| Sat 11/29 | Oregon State at Washington State | +14.0L8–32 | 42.5 | L8–32 | U | N |
Tulsa 2025 Schedule
Tulsa's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Tulsa vs Abilene Christian | -5.0W35–7 | 59.5 | W35–7 | U | Y |
| Sat 9/6 | Tulsa at New Mexico State | -3.0L14–21 | 52.5 | L14–21 | U | N |
| Sat 9/13 | Tulsa vs Navy | +14.0L23–42 | 52.5 | L23–42 | O | N |
| Fri 9/19 | Tulsa at Oklahoma State | +10.5W19–12 | 54.5 | W19–12 | U | Y |
| Sat 9/27 | Tulsa vs Tulane | +14.5L14–31 | 52.5 | L14–31 | U | N |
| Sat 10/4 | Tulsa at Memphis | +21.0L7–45 | 54.5 | L7–45 | U | N |
| — Bye Week — | ||||||
| Thu 10/16 | Tulsa at East Carolina | +16.5L27–41 | 54.5 | L27–41 | O | Y |
| Sat 10/25 | Tulsa vs Temple | +4.5L37–38 | 52.5 | L37–38 | O | Y |
| — Bye Week — | ||||||
| Sat 11/8 | Tulsa at Florida Atlantic | +4.5L21–40 | 60.5 | L21–40 | O | N |
| Sat 11/15 | Tulsa vs Oregon State | -1.5W31–14 | 50.5 | W31–14 | U | Y |
| Sat 11/22 | Tulsa at Army | +10.0W26–25 | 43.5 | W26–25 | O | Y |
| Sat 11/29 | Tulsa vs UAB | -9.0L24–31 | 56.5 | L24–31 | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
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?
Tulsa Edge
Tulsa +0.10
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?
Tulsa Edge
Tulsa +3.1
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Tulsa
93.8 — 3.3 GC score
✓ Predicted correctly
Game Result
Tulsa won by 17
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Tulsa, 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
Oregon State
Trent Bray #1
5–7 (42%)
· Yr 2 at school
OC
Ryan Gunderson
Yr 2
#1
DC
Keith Heyward
Yr 2
#1
Tulsa
Tre Lamb #1
0–0 (0%)
· Yr 1 at school
OC
Ty Darlington
Yr 1
#1
DC
Mike Gray
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓