Sat, Nov 27 2021
·
Week 13
·
🏟 McLane Stadium
Waco, TX
·
Turf
·
45,140 cap
Texas Tech✈ 310 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Texas Tech,
while Game Control favors Baylor.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Texas Tech wins
Lean
Game Control
67.1%
Baylor wins
Solid
Vegas Spread
Baylor -14
O/U 51.5
teamrankings
Advanced Stats
All 4 factors agree → Baylor
· 83.1% ATS historically when all four align
↓ See full breakdown
Texas Tech 2021 Schedule
Texas Tech's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Texas Tech vs Houston | +2.5W38–21 | 63.0 | W38–21 | U | Y |
| Sat 9/11 | Texas Tech vs Stephen F. Austin | -31.5W28–22 | 51.5 | W28–22 | U | N |
| Sat 9/18 | Texas Tech vs Florida International | -20.5W54–21 | 54.0 | W54–21 | O | Y |
| Sat 9/25 | Texas Tech at Texas | +9.0L35–70 | 63.0 | L35–70 | O | N |
| Sat 10/2 | Texas Tech at West Virginia | +7.5W23–20 | 55.0 | W23–20 | U | Y |
| Sat 10/9 | Texas Tech vs TCU | +2.5L31–52 | 60.0 | L31–52 | O | N |
| Sat 10/16 | Texas Tech at Kansas | -18.5W41–14 | 67.5 | W41–14 | U | Y |
| Sat 10/23 | Texas Tech vs Kansas State | +1.0L24–25 | 60.5 | L24–25 | U | Y |
| Sat 10/30 | Texas Tech at Oklahoma | +18.5L21–52 | 67.0 | L21–52 | O | N |
| — Bye Week — | ||||||
| Sat 11/13 | Texas Tech vs Iowa State | +13.0W41–38 | 55.5 | W41–38 | O | Y |
| Sat 11/20 | Texas Tech vs Oklahoma State | +10.0L0–23 | 55.0 | L0–23 | U | N |
| Sat 11/27 | Texas Tech at Baylor | +14.0L24–27 | 51.5 | L24–27 | U | Y |
| Tue 12/28 | Texas Tech vs Mississippi State | +10.0W34–7 | 58.5 | W34–7 | U | Y |
Baylor 2021 Schedule
Baylor's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Baylor at Texas State | -13.5W29–20 | 52.5 | W29–20 | U | N |
| Sat 9/11 | Baylor vs Texas Southern | -44.5W66–7 | 53.0 | W66–7 | O | Y |
| Sat 9/18 | Baylor at Kansas | -17.0W45–7 | 48.5 | W45–7 | O | Y |
| Sat 9/25 | Baylor vs Iowa State | +7.0W31–29 | 46.0 | W31–29 | O | Y |
| Sat 10/2 | Baylor at Oklahoma State | +3.5L14–24 | 47.0 | L14–24 | U | N |
| Sat 10/9 | Baylor vs West Virginia | -1.0W45–20 | 45.0 | W45–20 | O | Y |
| Sat 10/16 | Baylor vs BYU | -5.5W38–24 | 52.5 | W38–24 | O | Y |
| — Bye Week — | ||||||
| Sat 10/30 | Baylor vs Texas | -2.0W31–24 | 61.5 | W31–24 | U | Y |
| Sat 11/6 | Baylor at TCU | -7.5L28–30 | 57.0 | L28–30 | O | N |
| Sat 11/13 | Baylor vs Oklahoma | +4.0W27–14 | 63.0 | W27–14 | U | Y |
| Sat 11/20 | Baylor at Kansas State | +2.5W20–10 | 49.5 | W20–10 | U | Y |
| Sat 11/27 | Baylor vs Texas Tech | -14.0W27–24 | 51.5 | W27–24 | U | N |
| Sat 12/4 | Baylor vs Oklahoma State | +7.0W21–16 | 45.0 | W21–16 | U | Y |
| Sat 1/1 | Baylor vs Ole Miss | +1.0W21–7 | 60.5 | W21–7 | U | 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
→ Baylor
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Baylor
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Baylor
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?
Texas Tech Edge
Texas Tech +0.17
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Baylor Edge
Baylor +17.4
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Baylor
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Baylor
93.8 — 5.3 GC score
✓ Predicted correctly
Game Result
Baylor won by 3
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
Texas Tech
Sonny Cumbie #1
11–14 (44%)
· Yr 3 at school
OC
Sonny Cumbie
Yr 1
#1
DC
Keith Patterson
Yr 1
#1
Baylor
Dave Aranda #1
5–7 (42%)
· Yr 2 at school
OC
Jeff Grimes
Yr 1
#1
DC
Ron Roberts
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 ✓