Matchup Prediction
Baylor
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Baylor entering this game.
Momentum Control
73.7%
Baylor wins
Solid
Game Control
75.9%
Baylor wins
Solid
Vegas Spread
Baylor -17
O/U 48.5
teamrankings
Advanced Stats
All 4 factors agree → Baylor
· 83.1% ATS historically when all four align
↓ See full breakdown
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 |
Kansas 2021 Schedule
Kansas's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/3 | Kansas vs South Dakota | -11.5W17–14 | 55.5 | W17–14 | U | N |
| Fri 9/10 | Kansas at Coastal Carolina | +26.5L22–49 | 52.0 | L22–49 | O | N |
| Sat 9/18 | Kansas vs Baylor | +17.0L7–45 | 48.5 | L7–45 | O | N |
| Sat 9/25 | Kansas at Duke | +16.5L33–52 | 57.5 | L33–52 | O | N |
| Sat 10/2 | Kansas at Iowa State | +34.5L7–59 | 57.5 | L7–59 | O | N |
| — Bye Week — | ||||||
| Sat 10/16 | Kansas vs Texas Tech | +18.5L14–41 | 67.5 | L14–41 | U | N |
| Sat 10/23 | Kansas vs Oklahoma | +38.0L23–35 | 66.5 | L23–35 | U | Y |
| Sat 10/30 | Kansas at Oklahoma State | +28.5L3–55 | 54.5 | L3–55 | O | N |
| Sat 11/6 | Kansas vs Kansas State | +24.0L10–35 | 56.0 | L10–35 | U | N |
| Sat 11/13 | Kansas at Texas | +31.0W57–56 | 61.5 | W57–56 | O | Y |
| Sat 11/20 | Kansas at TCU | +21.0L28–31 | 64.0 | L28–31 | U | Y |
| Sat 11/27 | Kansas vs West Virginia | +15.5L28–34 | 55.5 | L28–34 | 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
→ 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?
Baylor Edge
Baylor +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Baylor Edge
Baylor +57.8
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Baylor with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Baylor
Dave Aranda #1
5–7 (42%)
· Yr 2 at school
OC
Jeff Grimes
Yr 1
#1
DC
Ron Roberts
Yr 1
#1
Kansas
Lance Leipold #1
1–2 (33%)
· Yr 1 at school
OC
Andy Kotelnicki
Yr 1
#1
DC
Brian Borland
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: 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 ✓
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 ✓