Matchup Prediction
Oklahoma
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Oklahoma entering this game.
Momentum Control
71.6%
Oklahoma wins
Solid
Game Control
67.1%
Oklahoma wins
Solid
Vegas Spread
Oklahoma -12.5
O/U 64.5
teamrankings
Advanced Stats
All 4 factors agree → Oklahoma
· 83.1% ATS historically when all four align
↓ See full breakdown
TCU 2021 Schedule
TCU's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | TCU vs Duquesne | -42.0W45–3 | 54.5 | W45–3 | U | N |
| Sat 9/11 | TCU vs California | -11.5W34–32 | 46.5 | W34–32 | O | N |
| — Bye Week — | ||||||
| Sat 9/25 | TCU vs SMU | -8.0L34–42 | 66.0 | L34–42 | O | N |
| Sat 10/2 | TCU vs Texas | +3.5L27–32 | 65.5 | L27–32 | U | N |
| Sat 10/9 | TCU at Texas Tech | -2.5W52–31 | 60.0 | W52–31 | O | Y |
| Sat 10/16 | TCU at Oklahoma | +12.5L31–52 | 64.5 | L31–52 | O | N |
| Sat 10/23 | TCU vs West Virginia | -5.0L17–29 | 58.0 | L17–29 | U | N |
| Sat 10/30 | TCU at Kansas State | +3.5L12–31 | 58.5 | L12–31 | U | N |
| Sat 11/6 | TCU vs Baylor | +7.5W30–28 | 57.0 | W30–28 | O | Y |
| Sat 11/13 | TCU at Oklahoma State | +11.0L17–63 | 53.5 | L17–63 | O | N |
| Sat 11/20 | TCU vs Kansas | -21.0W31–28 | 64.0 | W31–28 | U | N |
| Fri 11/26 | TCU at Iowa State | +16.0L14–48 | 61.5 | L14–48 | O | N |
Oklahoma 2021 Schedule
Oklahoma's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Oklahoma vs Tulane | -31.0W40–35 | 66.5 | W40–35 | O | N |
| Sat 9/11 | Oklahoma vs Western Carolina | -52.5W76–0 | 66.0 | W76–0 | O | Y |
| Sat 9/18 | Oklahoma vs Nebraska | -22.5W23–16 | 62.5 | W23–16 | U | N |
| Sat 9/25 | Oklahoma vs West Virginia | -17.5W16–13 | 56.5 | W16–13 | U | N |
| Sat 10/2 | Oklahoma at Kansas State | -12.0W37–31 | 53.0 | W37–31 | O | N |
| Sat 10/9 | Oklahoma vs Texas | -4.0W55–48 | 65.5 | W55–48 | O | Y |
| Sat 10/16 | Oklahoma vs TCU | -12.5W52–31 | 64.5 | W52–31 | O | Y |
| Sat 10/23 | Oklahoma at Kansas | -38.0W35–23 | 66.5 | W35–23 | U | N |
| Sat 10/30 | Oklahoma vs Texas Tech | -18.5W52–21 | 67.0 | W52–21 | O | Y |
| — Bye Week — | ||||||
| Sat 11/13 | Oklahoma at Baylor | -4.0L14–27 | 63.0 | L14–27 | U | N |
| Sat 11/20 | Oklahoma vs Iowa State | -3.0W28–21 | 59.0 | W28–21 | U | Y |
| Sat 11/27 | Oklahoma at Oklahoma State | +4.0L33–37 | 50.0 | L33–37 | O | Y |
| Wed 12/29 | Oklahoma vs Oregon | -7.0W47–32 | 64.0 | W47–32 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Oklahoma
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Oklahoma
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Oklahoma
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 · 2021 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?
Oklahoma Edge
Oklahoma +1.45
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Oklahoma Edge
Oklahoma +16.2
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Oklahoma
1 — 0 sequences
✓ Predicted correctly
GC Battle
Oklahoma
87.3 — 5.7 GC score
✓ Predicted correctly
Game Result
Oklahoma won by 21
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Oklahoma with a moderate edge in both. This is the strongest ATS signal in our backtest: teams in this situation have covered 55.8% of the time (n=113).
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
TCU
Gary Patterson #1
180–74 (71%)
· Yr 22 at school
OC
Doug Meacham
Yr 1
#1
DC
Chad Glasgow
Yr 1
#1
Oklahoma
Lincoln Riley #1
48–8 (86%)
· Yr 5 at school
OC
Bill Bedenbaugh
Yr 1
#1
DC
Alex Grinch
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 ✓