Sat, Sep 25 2021
·
Week 4
·
🏟 Boone Pickens Stadium
Stillwater, OK
·
Turf
·
60,218 cap
Kansas State✈ 214 miSame TZ
Matchup Prediction
Kansas State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Kansas State entering this game.
Momentum Control
73.7%
Kansas State wins
Solid
Game Control
75.9%
Kansas State wins
Solid
Vegas Spread
Oklahoma State -6
O/U 47.5
teamrankings
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → Oklahoma State
· 82.4% ATS historically
↓ See full breakdown
Kansas State 2021 Schedule
Kansas State's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Kansas State vs Stanford | -3.0W24–7 | 54.5 | W24–7 | U | Y |
| Sat 9/11 | Kansas State vs Southern Illinois | -17.0W31–23 | 55.0 | W31–23 | U | N |
| Sat 9/18 | Kansas State vs Nevada | +1.5W38–17 | 51.5 | W38–17 | O | Y |
| Sat 9/25 | Kansas State at Oklahoma State | +6.0L20–31 | 47.5 | L20–31 | O | N |
| Sat 10/2 | Kansas State vs Oklahoma | +12.0L31–37 | 53.0 | L31–37 | O | Y |
| — Bye Week — | ||||||
| Sat 10/16 | Kansas State vs Iowa State | +6.5L20–33 | 51.0 | L20–33 | O | N |
| Sat 10/23 | Kansas State at Texas Tech | -1.0W25–24 | 60.5 | W25–24 | U | N |
| Sat 10/30 | Kansas State vs TCU | -3.5W31–12 | 58.5 | W31–12 | U | Y |
| Sat 11/6 | Kansas State at Kansas | -24.0W35–10 | 56.0 | W35–10 | U | Y |
| Sat 11/13 | Kansas State vs West Virginia | -6.0W34–17 | 47.5 | W34–17 | O | Y |
| Sat 11/20 | Kansas State vs Baylor | -2.5L10–20 | 49.5 | L10–20 | U | N |
| Fri 11/26 | Kansas State at Texas | +3.0L17–22 | 54.5 | L17–22 | U | N |
| Tue 1/4 | Kansas State vs LSU | -9.5W42–20 | 47.0 | W42–20 | O | Y |
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 |
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Oklahoma State
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
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?
Kansas State Edge
Kansas State +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kansas State Edge
Kansas State +23.2
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Oklahoma State
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Oklahoma State
81.3 — 6.7 GC score
✗ Predicted incorrectly
Game Result
Oklahoma State won by 11
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Kansas 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
Kansas State
Chris Klieman #1
15–11 (58%)
· Yr 3 at school
OC
Courtney Messingham
Yr 1
#1
DC
Joe Klanderman
Yr 1
#1
Oklahoma State
Mike Gundy #1
140–67 (68%)
· Yr 17 at school
OC
Kasey Dunn
Yr 1
#1
DC
Jim Knowles
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓