Baylor at Cincinnati Week 9 College Football Matchup Baylor at Cincinnati Matchup - Week 9
Sat, Oct 25 2025 · Week 9 · 🏟 Nippert Stadium Cincinnati, OH · Turf · 40,000 cap
Baylor✈ 880 mi+1 hr TZ
Away
20 41
Final
Home
📊 Punt & Rally Projection
Baylor
30
Cincinnati
36
P&R Line Cincinnati -6
P&R Total O/U 65
Confidence 86 High
Vegas Cincinnati -3.5 · O/U 68.5
Matchup Prediction
Cincinnati has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Cincinnati entering this game.
Momentum Control
71.6%
Cincinnati wins
Solid
Game Control
76%
Cincinnati wins
Strong
Vegas Spread
Cincinnati -3.5
O/U 68.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Cincinnati · 73.9% ATS historically
↓ See full breakdown
🚌 Baylor 2nd straight Road Game
Baylor 2025 Schedule
Baylor's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 8/29Baylor vs Auburn+1.5L24–3857.5L24–38ON
Sat 9/6Baylor at SMU+3.0W48–4565.5W48–45OY
Sat 9/13Baylor vs Samford-51.5W42–765.5W42–7UN
Sat 9/20Baylor vs Arizona State-3.0L24–2760.5L24–27UN
Sat 9/27Baylor at Oklahoma State-21.0W45–2758.5W45–27ON
Sat 10/4Baylor vs Kansas State-4.5W35–3459.5W35–34ON
— Bye Week —
Sat 10/18Baylor at TCU+3.5L36–4266.5L36–42ON
Sat 10/25Baylor at Cincinnati+3.5L20–4168.5L20–41UN
Sat 11/1Baylor vs UCF-3.0W30–358.5W30–3UY
— Bye Week —
Sat 11/15Baylor vs Utah+9.5L28–5560.5L28–55ON
Sat 11/22Baylor at Arizona+6.5L17–4161.5L17–41UN
Sat 11/29Baylor vs Houston-2.5L24–3157.5L24–31UN
Cincinnati 2025 Schedule
Cincinnati's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 8/28Cincinnati vs Nebraska+6.5L17–2052.5L17–20UY
Sat 9/6Cincinnati vs Bowling Green-21.5W34–2046.5W34–20ON
Sat 9/13Cincinnati vs Northwestern State-48.5W70–055.5W70–0OY
— Bye Week —
Sat 9/27Cincinnati at Kansas+5.5W37–3455.5W37–34OY
Sat 10/4Cincinnati vs Iowa State-1.5W38–3055.5W38–30OY
Sat 10/11Cincinnati vs UCF-10.0W20–1155.5W20–11UN
Sat 10/18Cincinnati at Oklahoma State-23.5W49–1757.5W49–17OY
Sat 10/25Cincinnati vs Baylor-3.5W41–2068.5W41–20UY
Sat 11/1Cincinnati at Utah+11.5L14–4557.5L14–45ON
— Bye Week —
Sat 11/15Cincinnati vs Arizona-6.5L24–3056.5L24–30UN
Sat 11/22Cincinnati vs BYU+2.5L14–2656.5L14–26UN
Sat 11/29Cincinnati at TCU+3.0L23–4558.5L23–45ON
Fri 1/2Cincinnati vs Navy+7.5L13–3557.5L13–35UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Cincinnati 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
→ Cincinnati
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Baylor #49
+0.410
Cincinnati #17
+0.470
Cincinnati Edge
PPA Passing
Pass efficiency edge · Strong predictor
Baylor #67
+0.516
Cincinnati #14
+0.672
Cincinnati Edge
Havoc Total
Def. disruption rate · Strong predictor
Baylor #126
0.123
Cincinnati #128
0.122
TFLs, sacks, PBUs, forced fumbles — higher is better
Baylor Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Baylor #69
+7.625
Cincinnati #11
+8.893
Cincinnati Edge
Success Rate
Play consistency edge · Solid predictor
Baylor #39
+0.902
Cincinnati #25
+0.906
Cincinnati Edge
Field Position
Avg start (lower=better) · Solid predictor
Baylor #82
71.5
Cincinnati #64
70.9
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Cincinnati 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
Baylor Rated Higher
Overall Power Rating
Baylor
3.6
Cincinnati
-1.3
Offense Rating
Baylor
16.6
Cincinnati
13.7
Defense Rating (lower = better defense)
Baylor
13.1
Cincinnati
15.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Cincinnati Edge
Avg sequences created per game
Baylor #97
0.17
Cincinnati #49
1.17
Avg sequences allowed per game (lower is better)
Baylor #65
0.83
Cincinnati #43
0.17
Cincinnati +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Cincinnati Edge
Avg GC score per game (offense)
Baylor #1
36.6
Cincinnati #1
71.2
Avg GC score allowed per game (lower is better)
Baylor #102
41.9
Cincinnati #65
17.5
Cincinnati +34.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Cincinnati
2 — 1 sequences
✓ Predicted correctly
GC Battle
Cincinnati
93.1 — 4.2 GC score
✓ Predicted correctly
Game Result
Cincinnati 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 Cincinnati 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
31–29 (52%) · Yr 6 at school
OC Jake Spavital Yr 2 #1
DC Matt Powledge Yr 3 #1
Staff Rating
0.00 #1
Cincinnati
Scott Satterfield #1
8–16 (33%) · Yr 3 at school
OC Brad Glenn Yr 3 #1
DC Tyson Veidt Yr 1 #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