Sat, Nov 29 2025
·
Week 14
·
🏟 Boone Pickens Stadium
Stillwater, OK
·
Turf
·
60,218 cap
Iowa State✈ 446 miSame TZ
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
Vegas Spread
Iowa State -13.5
O/U 47.5
ESPN Bet
Advanced Stats
All 4 factors agree → Iowa State
· 83.1% ATS historically when all four align
↓ See full breakdown
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 |
Oklahoma State 2025 Schedule
Oklahoma State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | Oklahoma State vs UT Martin | -26.0W27–7 | 56.5 | W27–7 | U | N |
| Sat 9/6 | Oklahoma State at Oregon | +28.5L3–69 | 55.5 | L3–69 | O | N |
| — Bye Week — | ||||||
| Fri 9/19 | Oklahoma State vs Tulsa | -10.5L12–19 | 54.5 | L12–19 | U | N |
| Sat 9/27 | Oklahoma State vs Baylor | +21.0L27–45 | 58.5 | L27–45 | O | Y |
| Sat 10/4 | Oklahoma State at Arizona | +21.5L13–41 | 56.5 | L13–41 | U | N |
| Sat 10/11 | Oklahoma State vs Houston | +14.5L17–39 | 47.5 | L17–39 | O | N |
| Sat 10/18 | Oklahoma State vs Cincinnati | +23.5L17–49 | 57.5 | L17–49 | O | N |
| Sat 10/25 | Oklahoma State at Texas Tech | +37.5L0–42 | 56.5 | L0–42 | U | N |
| Sat 11/1 | Oklahoma State at Kansas | +24.5L21–38 | 54.5 | L21–38 | O | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Oklahoma State vs Kansas State | +19.5L6–14 | 50.5 | L6–14 | U | Y |
| Sat 11/22 | Oklahoma State at UCF | +13.5L14–17 | 47.5 | L14–17 | U | Y |
| Sat 11/29 | Oklahoma State vs Iowa State | +13.5L13–20 | 47.5 | L13–20 | U | Y |
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
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 ·
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 +0.70
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Iowa State Edge
Iowa State +26.4
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Oklahoma State
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Iowa State
12.9 — 67.3 GC score
✓ Predicted correctly
Game Result
Iowa State won by 7
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Iowa State 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
Iowa State
Matt Campbell #1
63–51 (55%)
· Yr 10 at school
OC
Taylor Mouser
Yr 2
#1
DC
Jon Heacock
Yr 3
#1
Oklahoma State
Mike Gundy #1
169–88 (66%)
· Yr 21 at school
OC
Doug Meacham
Yr 1
#1
DC
Todd Grantham
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 ✓

