Sat, Oct 25 2025
·
Week 9
·
🏟 Jack Trice Stadium
Ames, IA
·
Turf
·
61,500 cap
BYU✈ 943 mi+1 hr TZ
Matchup Prediction
BYU
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
BYU entering this game.
Momentum Control
61.3%
BYU wins
Lean
Game Control
64.9%
BYU wins
Lean
Vegas Spread
Iowa State -2.5
O/U 48.5
DraftKings
Advanced Stats
PPA + Success Rate agree → BYU
· 73.9% ATS historically
↓ See full breakdown
BYU 2025 Schedule
BYU's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | BYU vs Portland State | -43.5W69–0 | 61.5 | W69–0 | O | Y |
| Sat 9/6 | BYU vs Stanford | -20.5W27–3 | 44.5 | W27–3 | U | Y |
| — Bye Week — | ||||||
| Sat 9/20 | BYU at East Carolina | -6.5W34–13 | 49.5 | W34–13 | U | Y |
| Sat 9/27 | BYU at Colorado | -6.5W24–21 | 48.5 | W24–21 | U | N |
| Fri 10/3 | BYU vs West Virginia | -19.5W38–24 | 46.5 | W38–24 | O | N |
| Sat 10/11 | BYU at Arizona | -2.5W33–27 | 46.5 | W33–27 | O | Y |
| Sat 10/18 | BYU vs Utah | +4.0W24–21 | 49.5 | W24–21 | U | Y |
| Sat 10/25 | BYU at Iowa State | +2.5W41–27 | 48.5 | W41–27 | O | Y |
| — Bye Week — | ||||||
| Sat 11/8 | BYU at Texas Tech | +13.5L7–29 | 50.5 | L7–29 | U | N |
| Sat 11/15 | BYU vs TCU | -3.0W44–13 | 51.5 | W44–13 | O | Y |
| Sat 11/22 | BYU at Cincinnati | -2.5W26–14 | 56.5 | W26–14 | U | Y |
| Sat 11/29 | BYU vs UCF | -17.5W41–21 | 46.5 | W41–21 | O | Y |
| Sat 12/6 | BYU vs Texas Tech | +12.5L7–34 | 50.5 | L7–34 | U | N |
| Sat 12/27 | BYU vs Georgia Tech | -3.5W25–21 | 55.0 | W25–21 | U | Y |
Iowa State 2025 Schedule
Iowa State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/23 | Iowa State vs Kansas State | +2.5W24–21 | 51.5 | W24–21 | U | Y |
| Sat 8/30 | Iowa State vs South Dakota | -16.5W55–7 | 47.5 | W55–7 | O | Y |
| Sat 9/6 | Iowa State vs Iowa | -3.0W16–13 | 43.0 | W16–13 | U | N |
| Sat 9/13 | Iowa State at Arkansas State | -21.0W24–16 | 55.5 | W24–16 | U | N |
| — Bye Week — | ||||||
| Sat 9/27 | Iowa State vs Arizona | -4.0W39–14 | 48.5 | W39–14 | O | Y |
| Sat 10/4 | Iowa State at Cincinnati | +1.5L30–38 | 55.5 | L30–38 | O | N |
| Sat 10/11 | Iowa State at Colorado | -3.0L17–24 | 52.5 | L17–24 | U | N |
| — Bye Week — | ||||||
| Sat 10/25 | Iowa State vs BYU | -2.5L27–41 | 48.5 | L27–41 | O | N |
| Sat 11/1 | Iowa State vs Arizona State | -7.5L19–24 | 48.5 | L19–24 | U | N |
| Sat 11/8 | Iowa State at TCU | +7.5W20–17 | 58.5 | W20–17 | U | Y |
| — Bye Week — | ||||||
| Sat 11/22 | Iowa State vs Kansas | -3.0W38–14 | 55.5 | W38–14 | U | Y |
| Sat 11/29 | Iowa State at Oklahoma State | -13.5W20–13 | 47.5 | W20–13 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
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
→ BYU
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 ·
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?
BYU Edge
BYU +0.67
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
BYU Edge
BYU +16.1
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 7 games this season
Actual Result
CSS Battle
BYU
1 — 2 sequences
✓ Predicted correctly
GC Battle
Iowa State
53.3 — 33.3 GC score
✗ Predicted incorrectly
Game Result
BYU won by 14
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on BYU with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
BYU
Kalani Sitake #1
71–43 (62%)
· Yr 10 at school
OC
Aaron Roderick
Yr 3
#1
DC
Jay Hill
Yr 3
#1
Iowa State
Matt Campbell #1
63–51 (55%)
· Yr 10 at school
OC
Taylor Mouser
Yr 2
#1
DC
Jon Heacock
Yr 3
#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 ✓