Oklahoma at Tennessee Week 10 College Football Matchup Oklahoma at Tennessee Matchup - Week 10
Sat, Nov 1 2025 · Week 10 · 🏟 Neyland Stadium Knoxville, TN · Turf · 102,455 cap
Oklahoma✈ 760 mi+1 hr TZ
Away
33 27
Final
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📊 Punt & Rally Projection
Oklahoma
29
OKLA +3
Tennessee
27
P&R Line Oklahoma -1.5
P&R Total O/U 56
Confidence 75 Good
Vegas Tennessee -3 · O/U 55.5
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Oklahoma, while Game Control favors Tennessee. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Oklahoma wins
Lean
Game Control
50.6%
Tennessee wins
Toss-up
Vegas Spread
Tennessee -3
O/U 55.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Oklahoma 2025 Schedule
Oklahoma's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Oklahoma vs Illinois State-39.5W35–361.0W35–3UN
Sat 9/6Oklahoma vs Michigan-3.0W24–1347.5W24–13UY
Sat 9/13Oklahoma at Temple-23.5W42–350.5W42–3UY
Sat 9/20Oklahoma vs Auburn-6.5W24–1747.5W24–17UY
— Bye Week —
Sat 10/4Oklahoma vs Kent State-46.5W44–053.5W44–0UN
Sat 10/11Oklahoma vs Texas+2.5L6–2344.5L6–23UN
Sat 10/18Oklahoma at South Carolina-4.5W26–742.5W26–7UY
Sat 10/25Oklahoma vs Ole Miss-5.5L26–3452.5L26–34ON
Sat 11/1Oklahoma at Tennessee+3.0W33–2755.5W33–27OY
— Bye Week —
Sat 11/15Oklahoma at Alabama+6.5W23–2145.5W23–21UY
Sat 11/22Oklahoma vs Missouri-4.5W17–642.5W17–6UY
Sat 11/29Oklahoma vs LSU-11.5W17–1336.5W17–13UN
Fri 12/19Oklahoma vs Alabama-1.5L24–3442.0L24–34ON
Tennessee 2025 Schedule
Tennessee's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Tennessee vs Syracuse-13.5W45–2653.5W45–26OY
Sat 9/6Tennessee vs East Tennessee State-39.5W72–1758.5W72–17OY
Sat 9/13Tennessee vs Georgia+3.5L41–4450.5L41–44OY
Sat 9/20Tennessee vs UAB-39.5W56–2469.5W56–24ON
Sat 9/27Tennessee at Mississippi State-7.5W41–3463.5W41–34ON
— Bye Week —
Sat 10/11Tennessee vs Arkansas-10.0W34–3168.5W34–31UN
Sat 10/18Tennessee at Alabama+8.5L20–3760.5L20–37UN
Sat 10/25Tennessee at Kentucky-7.5W56–3455.5W56–34OY
Sat 11/1Tennessee vs Oklahoma-3.0L27–3355.5L27–33ON
— Bye Week —
Sat 11/15Tennessee vs New Mexico State-41.5W42–959.5W42–9UN
Sat 11/22Tennessee at Florida-3.5W31–1157.5W31–11UY
Sat 11/29Tennessee vs Vanderbilt-2.0L24–4566.5L24–45ON
Tue 12/30Tennessee vs Illinois-3.0L28–3062.5L28–30UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Tennessee PPA Edge
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
Oklahoma #108
+0.263
Tennessee #5
+0.333
Tennessee Edge
PPA Passing
Pass efficiency edge · Strong predictor
Oklahoma #95
+0.426
Tennessee #19
+0.505
Tennessee Edge
Havoc Total
Def. disruption rate · Strong predictor
Oklahoma #3
0.227
Tennessee #19
0.184
TFLs, sacks, PBUs, forced fumbles — higher is better
Oklahoma Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Oklahoma #62
+7.855
Tennessee #9
+7.304
Oklahoma Edge
Success Rate
Play consistency edge · Solid predictor
Oklahoma #103
+0.842
Tennessee #5
+0.827
Oklahoma Edge
Field Position
Avg start (lower=better) · Solid predictor
Oklahoma #22
68.8
Tennessee #92
71.8
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Oklahoma Edge
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
Oklahoma Rated Higher
Overall Power Rating
Oklahoma
19.1
Tennessee
13.5
Offense Rating
Oklahoma
24.6
Tennessee
22.0
Defense Rating (lower = better defense)
Oklahoma
5.5
Tennessee
8.4
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Oklahoma Edge
Avg sequences created per game
Oklahoma #55
1.57
Tennessee #19
1.43
Avg sequences allowed per game (lower is better)
Oklahoma #20
0.43
Tennessee #75
0.71
Oklahoma +0.14
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Tennessee Edge
Avg GC score per game (offense)
Oklahoma #1
67.5
Tennessee #1
68.1
Avg GC score allowed per game (lower is better)
Oklahoma #13
18.6
Tennessee #15
21.3
Tennessee +0.7
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 8 games this season
Actual Result
CSS Battle
Oklahoma
1 — 3 sequences
✓ Predicted correctly
GC Battle
Oklahoma
36.0 — 42.0 GC score
✗ Predicted incorrectly
Game Result
Oklahoma won by 6
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
Oklahoma
Brent Venables #1
22–16 (58%) · Yr 4 at school
OC Ben Arbuckle Yr 1 #1
DC Zac Alley Yr 2 #1
Staff Rating
0.00 #1
Tennessee
Josh Heupel #1
37–14 (73%) · Yr 5 at school
OC Joey Halzle Yr 3 #1
DC Tim Banks Yr 3 #1
Staff Rating
0.00 #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