TCU at Baylor Week 12 College Football Matchup TCU at Baylor Matchup - Week 12
Sat, Nov 19 2022 · Week 12 · 🏟 McLane Stadium Waco, TX · Turf · 45,140 cap
TCU✈ 80 miSame TZ
Away
29 28
Final
Home
📊 Punt & Rally Projection
TCU
35
TCU -2
Baylor
25
P&R Line TCU -10
P&R Total O/U 59
Confidence 86 High
Vegas TCU -2 · O/U 58.0
Matchup Prediction
TCU has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor TCU entering this game.
Momentum Control
61.3%
TCU wins
Lean
Game Control
58.3%
TCU wins
Lean
Vegas Spread
TCU -2
O/U 58.0
teamrankings
Advanced Stats
PPA + Success Rate agree → TCU · 73.9% ATS historically
↓ See full breakdown
🏠 Baylor 2nd straight Home Game 🚌 TCU 2nd straight Road Game
TCU 2022 Schedule
TCU's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 9/2TCU at Colorado-13.5W38–1359.0W38–13UY
Sat 9/10TCU vs Tarleton State-40.0W59–1766.5W59–17OY
— Bye Week —
Sat 9/24TCU at SMU-2.5W42–3472.0W42–34OY
Sat 10/1TCU vs Oklahoma+5.0W55–2469.5W55–24OY
Sat 10/8TCU at Kansas-7.0W38–3170.0W38–31UN
Sat 10/15TCU vs Oklahoma State-5.0W43–4069.5W43–40ON
Sat 10/22TCU vs Kansas State-3.5W38–2854.5W38–28OY
Sat 10/29TCU at West Virginia-7.0W41–3170.0W41–31OY
Sat 11/5TCU vs Texas Tech-8.5W34–2469.0W34–24UY
Sat 11/12TCU at Texas+7.5W17–1065.0W17–10UY
Sat 11/19TCU at Baylor-2.0W29–2858.0W29–28UN
Sat 11/26TCU vs Iowa State-9.5W62–1446.0W62–14OY
Sat 12/3TCU vs Kansas State-1.0L28–3160.5L28–31UN
Sat 12/31TCU vs Michigan+8.0W51–4556.0W51–45OY
Mon 1/9TCU vs Georgia+13.5L7–6562.0L7–65ON
Baylor 2022 Schedule
Baylor's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Baylor vs UAlbany-42.5W69–1046.5W69–10OY
Sat 9/10Baylor at BYU+2.5L20–2654.5L20–26UN
Sat 9/17Baylor vs Texas State-30.0W42–753.0W42–7UY
Sat 9/24Baylor at Iowa State+2.5W31–2445.0W31–24OY
Sat 10/1Baylor vs Oklahoma State-2.5L25–3656.0L25–36ON
— Bye Week —
Thu 10/13Baylor at West Virginia-3.0L40–4355.0L40–43ON
Sat 10/22Baylor vs Kansas-10.5W35–2356.5W35–23OY
Sat 10/29Baylor at Texas Tech+1.5W45–1761.0W45–17OY
Sat 11/5Baylor at Oklahoma+3.0W38–3561.5W38–35OY
Sat 11/12Baylor vs Kansas State-2.5L3–3152.0L3–31UN
Sat 11/19Baylor vs TCU+2.0L28–2958.0L28–29UY
Fri 11/25Baylor at Texas+10.0L27–3855.0L27–38ON
Thu 12/22Baylor vs Air Force-3.5L15–3042.0L15–30ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
TCU 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
Both Agree
→ TCU
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
TCU
+0.495
Baylor
+0.390
TCU Edge
PPA Passing
Pass efficiency edge · Strong predictor
TCU
+0.665
Baylor
+0.490
TCU Edge
Havoc Total
Def. disruption rate · Strong predictor
TCU
0.158
Baylor
0.158
TFLs, sacks, PBUs, forced fumbles — higher is better
Even
Points Per Opp
Drive-finishing edge · Strong predictor
TCU
+8.400
Baylor
+8.702
Baylor Edge
Success Rate
Play consistency edge · Solid predictor
TCU
+0.882
Baylor
+0.864
TCU Edge
Field Position
Avg start (lower=better) · Solid predictor
TCU
69.4
Baylor
69.8
Avg yards from own endzone to average start — lower is better · longer bar = better field position
TCU Edge
Advanced stats sourced from CFBD · 2022 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
TCU Rated Higher
Overall Power Rating
TCU
6.6
Baylor
3.5
Offense Rating
TCU
17.9
Baylor
16.6
Defense Rating (lower = better defense)
TCU
11.3
Baylor
13.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? TCU Edge
Avg sequences created per game
TCU #30
1.80
Baylor #67
1.00
Avg sequences allowed per game (lower is better)
TCU #111
0.60
Baylor #89
1.00
TCU +0.80
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? TCU Edge
Avg GC score per game (offense)
TCU #1
66.6
Baylor #1
59.6
Avg GC score allowed per game (lower is better)
TCU #34
19.7
Baylor #47
24.1
TCU +7.0
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 10 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Baylor
38.7 — 23.6 GC score
✗ Predicted incorrectly
Game Result
TCU won by 1
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on TCU. 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
TCU
Sonny Dykes #1
0–0 (0%) · Yr 1 at school
OC Garrett Riley Yr 1 #1
DC Joseph Gillespie Yr 1 #1
Staff Rating
0.00 #1
Baylor
Dave Aranda #1
14–9 (61%) · Yr 3 at school
OC Jeff Grimes Yr 2 #1
DC Ron Roberts Yr 2 #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