Sat, Nov 7 2026
·
Week 10
·
🏟 McLane Stadium
Waco, TX
·
Turf
·
45,140 cap
Iowa State✈ 747 miSame TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Iowa State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Iowa State entering this game.
Momentum Control
61.3%
Iowa State wins
Lean
Game Control
75.9%
Iowa State wins
Solid
Advanced Stats
All 4 factors agree → Iowa State
· 83.1% ATS historically when all four align
↓ See full breakdown
Iowa State 2026 Schedule
Iowa State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Iowa State vs Southeast Missouri State | -29 | — | — | — | — |
| Sat 9/12 | Iowa State at Iowa | +11 | — | — | — | — |
| Sat 9/19 | Iowa State vs Bowling Green | -20.5 | — | — | — | — |
| Sat 9/26 | Iowa State vs Utah | +0 | — | — | — | — |
| Sat 10/3 | Iowa State vs West Virginia | -12.5 | — | — | — | — |
| Sat 10/10 | Iowa State at BYU | +8.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/24 | Iowa State at Arizona | +6.5 | — | — | — | — |
| Sat 10/31 | Iowa State vs Oklahoma State | -4.5 | — | — | — | — |
| Sat 11/7 | Iowa State at Baylor | -2 | — | — | — | — |
| Sat 11/14 | Iowa State vs Cincinnati | -8 | — | — | — | — |
| Sat 11/21 | Iowa State at UCF | -3 | — | — | — | — |
| Sat 11/28 | Iowa State vs Kansas State | -3 | — | — | — | — |
Baylor 2026 Schedule
Baylor's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Baylor vs Auburn | +7.5 | 58.5 | — | — | — |
| Sat 9/12 | Baylor vs Prairie View A&M | -26 | — | — | — | — |
| Sat 9/19 | Baylor vs Louisiana Tech | -8 | — | — | — | — |
| Sat 9/26 | Baylor vs Colorado | -9 | — | — | — | — |
| Sat 10/3 | Baylor at Arizona State | +5.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/17 | Baylor vs TCU | +2.5 | — | — | — | — |
| Sat 10/24 | Baylor at Kansas | +2 | — | — | — | — |
| Sat 10/31 | Baylor at UCF | +1.5 | — | — | — | — |
| Sat 11/7 | Baylor vs Iowa State | +2 | — | — | — | — |
| Sat 11/14 | Baylor at BYU | +13 | — | — | — | — |
| Sat 11/21 | Baylor vs Texas Tech | +22.5 | — | — | — | — |
| Sat 11/28 | Baylor at Houston | +8 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Iowa State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Iowa State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Iowa State
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 · 2025 season (prior year — 2026 data not yet available) ·
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?
Iowa State Edge
Iowa State +0.09
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Iowa State Edge
Iowa State +19.5
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Iowa State
Jimmy Rogers #96
0–0 (0%)
· Yr 1 at school
OC
Tyler Roehl
Yr 1
#67
DC
Jesse Bobbit
Yr 1
#54
Baylor
Dave Aranda #100
36–37 (49%)
· Yr 7 at school
OC
Jake Spavital
Yr 3
#48
DC
Joe Klanderman
Yr 1
#25
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 ✓