Thu, Sep 1 2022
·
Week 1
·
🏟 Boone Pickens Stadium
Stillwater, OK
·
Turf
·
60,218 cap
Central Michigan✈ 829 mi-1 hr TZ
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
—
Lean
Game Control
50.6%
—
Toss-up
Vegas Spread
Oklahoma State -20.5
O/U 58.0
teamrankings
Advanced Stats
PPA + Success Rate agree → Oklahoma State
· 73.9% ATS historically
↓ See full breakdown
Central Michigan 2022 Schedule
Central Michigan's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Central Michigan at Oklahoma State | +20.5L44–58 | 58.0 | L44–58 | O | Y |
| Sat 9/10 | Central Michigan vs South Alabama | -6.0L24–38 | 57.5 | L24–38 | O | N |
| Sat 9/17 | Central Michigan vs Bucknell | -41.0W41–0 | 59.0 | W41–0 | U | N |
| Sat 9/24 | Central Michigan at Penn State | +28.0L14–33 | 61.5 | L14–33 | U | Y |
| Sat 10/1 | Central Michigan at Toledo | +6.5L17–38 | 56.0 | L17–38 | U | N |
| Sat 10/8 | Central Michigan vs Ball State | -7.5L16–17 | 63.0 | L16–17 | U | N |
| Sat 10/15 | Central Michigan at Akron | -12.0W28–21 | 60.5 | W28–21 | U | N |
| Sat 10/22 | Central Michigan vs Bowling Green | -5.5L18–34 | 51.0 | L18–34 | O | N |
| — Bye Week — | ||||||
| Wed 11/2 | Central Michigan at Northern Illinois | +4.5W35–22 | 54.0 | W35–22 | O | Y |
| Wed 11/9 | Central Michigan vs Buffalo | -3.0W31–27 | 54.0 | W31–27 | O | Y |
| Wed 11/16 | Central Michigan vs Western Michigan | -10.0L10–12 | 49.0 | L10–12 | U | N |
| Fri 11/25 | Central Michigan at Eastern Michigan | +1.0L19–38 | 53.5 | L19–38 | O | N |
Oklahoma State 2022 Schedule
Oklahoma State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Oklahoma State vs Central Michigan | -20.5W58–44 | 58.0 | W58–44 | O | N |
| Sat 9/10 | Oklahoma State vs Arizona State | -12.0W34–17 | 58.5 | W34–17 | U | Y |
| Sat 9/17 | Oklahoma State vs Arkansas-Pine Bluff | -54.5W63–7 | 64.5 | W63–7 | O | Y |
| — Bye Week — | ||||||
| Sat 10/1 | Oklahoma State at Baylor | +2.5W36–25 | 56.0 | W36–25 | O | Y |
| Sat 10/8 | Oklahoma State vs Texas Tech | -11.0W41–31 | 66.0 | W41–31 | O | N |
| Sat 10/15 | Oklahoma State at TCU | +5.0L40–43 | 69.5 | L40–43 | O | Y |
| Sat 10/22 | Oklahoma State vs Texas | +6.5W41–34 | 58.5 | W41–34 | O | Y |
| Sat 10/29 | Oklahoma State at Kansas State | +2.5L0–48 | 57.5 | L0–48 | U | N |
| Sat 11/5 | Oklahoma State at Kansas | +3.0L16–37 | 59.5 | L16–37 | U | N |
| Sat 11/12 | Oklahoma State vs Iowa State | +2.5W20–14 | 47.5 | W20–14 | U | Y |
| Sat 11/19 | Oklahoma State at Oklahoma | +7.0L13–28 | 67.5 | L13–28 | U | N |
| Sat 11/26 | Oklahoma State vs West Virginia | -5.5L19–24 | 59.5 | L19–24 | U | N |
| Tue 12/27 | Oklahoma State vs Wisconsin | +5.0L17–24 | 45.0 | L17–24 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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
→ 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 · 2022 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?
Central Michigan Edge
Central Michigan +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Central Michigan Edge
Central Michigan +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Oklahoma State
4 — 1 sequences
✗ Predicted incorrectly
GC Battle
Oklahoma State
94.7 — 1.4 GC score
✗ Predicted incorrectly
Game Result
Oklahoma State won by 14
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Oklahoma State, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Central Michigan
Jim McElwain #1
20–13 (61%)
· Yr 4 at school
OC
Paul Petrino
Yr 1
#1
DC
Robb Akey
Yr 2
#1
Oklahoma State
Mike Gundy #1
149–69 (68%)
· Yr 18 at school
OC
Kasey Dunn
Yr 2
#1
DC
Derek Mason
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 ✓