Sat, Oct 23 2021
·
Week 8
·
🏟 Jack Trice Stadium
Ames, IA
·
Turf
·
61,500 cap
Oklahoma 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
71.6%
Iowa State wins
Solid
Game Control
58.6%
Iowa State wins
Lean
Vegas Spread
Iowa State -7.5
O/U 47.0
teamrankings
Advanced Stats
All 4 factors agree → Oklahoma State
· 83.1% ATS historically when all four align
↓ See full breakdown
Oklahoma State 2021 Schedule
Oklahoma State's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Oklahoma State vs Missouri State | -38.0W23–16 | 55.0 | W23–16 | U | N |
| Sat 9/11 | Oklahoma State vs Tulsa | -11.5W28–23 | 51.0 | W28–23 | U | N |
| Sat 9/18 | Oklahoma State at Boise State | +3.5W21–20 | 58.5 | W21–20 | U | Y |
| Sat 9/25 | Oklahoma State vs Kansas State | -6.0W31–20 | 47.5 | W31–20 | O | Y |
| Sat 10/2 | Oklahoma State vs Baylor | -3.5W24–14 | 47.0 | W24–14 | U | Y |
| — Bye Week — | ||||||
| Sat 10/16 | Oklahoma State at Texas | +3.0W32–24 | 61.0 | W32–24 | U | Y |
| Sat 10/23 | Oklahoma State at Iowa State | +7.5L21–24 | 47.0 | L21–24 | U | Y |
| Sat 10/30 | Oklahoma State vs Kansas | -28.5W55–3 | 54.5 | W55–3 | O | Y |
| Sat 11/6 | Oklahoma State at West Virginia | -3.5W24–3 | 48.5 | W24–3 | U | Y |
| Sat 11/13 | Oklahoma State vs TCU | -11.0W63–17 | 53.5 | W63–17 | O | Y |
| Sat 11/20 | Oklahoma State at Texas Tech | -10.0W23–0 | 55.0 | W23–0 | U | Y |
| Sat 11/27 | Oklahoma State vs Oklahoma | -4.0W37–33 | 50.0 | W37–33 | O | N |
| Sat 12/4 | Oklahoma State vs Baylor | -7.0L16–21 | 45.0 | L16–21 | U | N |
| Sat 1/1 | Oklahoma State vs Notre Dame | -1.5W37–35 | 45.5 | W37–35 | O | Y |
Iowa State 2021 Schedule
Iowa State's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Iowa State vs Northern Iowa | -28.5W16–10 | 50.0 | W16–10 | U | N |
| Sat 9/11 | Iowa State vs Iowa | -4.0L17–27 | 45.0 | L17–27 | U | N |
| Sat 9/18 | Iowa State at UNLV | -32.0W48–3 | 53.0 | W48–3 | U | Y |
| Sat 9/25 | Iowa State at Baylor | -7.0L29–31 | 46.0 | L29–31 | O | N |
| Sat 10/2 | Iowa State vs Kansas | -34.5W59–7 | 57.5 | W59–7 | O | Y |
| — Bye Week — | ||||||
| Sat 10/16 | Iowa State at Kansas State | -6.5W33–20 | 51.0 | W33–20 | O | Y |
| Sat 10/23 | Iowa State vs Oklahoma State | -7.5W24–21 | 47.0 | W24–21 | U | N |
| Sat 10/30 | Iowa State at West Virginia | -7.5L31–38 | 49.0 | L31–38 | O | N |
| Sat 11/6 | Iowa State vs Texas | -6.0W30–7 | 59.5 | W30–7 | U | Y |
| Sat 11/13 | Iowa State at Texas Tech | -13.0L38–41 | 55.5 | L38–41 | O | N |
| Sat 11/20 | Iowa State at Oklahoma | +3.0L21–28 | 59.0 | L21–28 | U | N |
| Fri 11/26 | Iowa State vs TCU | -16.0W48–14 | 61.5 | W48–14 | O | Y |
| Wed 12/29 | Iowa State vs Clemson | +1.5L13–20 | 44.0 | L13–20 | U | N |
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
→ Oklahoma State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Oklahoma State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Oklahoma 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 · 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?
Iowa State Edge
Iowa State +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Iowa State Edge
Iowa State +8.8
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Iowa State
1 — 0 sequences
✓ Predicted correctly
GC Battle
Iowa State
39.8 — 26.6 GC score
✓ Predicted correctly
Game Result
Iowa State won by 3
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Iowa State. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Oklahoma State
Mike Gundy #1
140–67 (68%)
· Yr 17 at school
OC
Kasey Dunn
Yr 1
#1
DC
Jim Knowles
Yr 1
#1
Iowa State
Matt Campbell #1
37–29 (56%)
· Yr 6 at school
OC
Tom Manning
Yr 1
#1
DC
Jon Heacock
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 ✓

