Sat, Aug 31 2024
·
Week 1
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🏟 Boone Pickens Stadium
Stillwater, OK
·
Turf
·
60,218 cap
South Dakota State✈ 566 miSame TZ
Preseason projection — This game has not yet been played and 2024 in-season data is not yet available.
Edges are based on 2023 full-season performance.
Confidence will increase once in-season games are logged.
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
76%
Oklahoma State wins
Strong
Vegas Spread
Oklahoma State -9.5
O/U 54.0
DraftKings
South Dakota State 2024 Schedule
South Dakota State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | South Dakota State at Oklahoma State | +9.5L20–44 | 54.0 | L20–44 | O | N |
| Sat 12/21 | South Dakota State at North Dakota State | -3.5L21–28 | 49.5 | L21–28 | U | N |
Oklahoma State 2024 Schedule
Oklahoma State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Oklahoma State vs South Dakota State | -9.5W44–20 | 54.0 | W44–20 | O | Y |
| Sat 9/7 | Oklahoma State vs Arkansas | -10.5W39–31 | 60.5 | W39–31 | O | N |
| Sat 9/14 | Oklahoma State at Tulsa | -17.5W45–10 | 62.5 | W45–10 | U | Y |
| Sat 9/21 | Oklahoma State vs Utah | +1.0L19–22 | 53.5 | L19–22 | U | N |
| Sat 9/28 | Oklahoma State at Kansas State | +6.0L20–42 | 58.0 | L20–42 | O | N |
| Sat 10/5 | Oklahoma State vs West Virginia | -2.5L14–38 | 65.0 | L14–38 | U | N |
| — Bye Week — | ||||||
| Fri 10/18 | Oklahoma State at BYU | +8.5L35–38 | 53.0 | L35–38 | O | Y |
| Sat 10/26 | Oklahoma State at Baylor | +7.0L28–38 | 64.5 | L28–38 | O | N |
| Sat 11/2 | Oklahoma State vs Arizona State | +5.0L21–42 | 57.0 | L21–42 | O | N |
| Sat 11/9 | Oklahoma State at TCU | +10.5L13–38 | 68.5 | L13–38 | U | N |
| — Bye Week — | ||||||
| Sat 11/23 | Oklahoma State vs Texas Tech | +5.0L48–56 | 63.5 | L48–56 | O | N |
| Fri 11/29 | Oklahoma State at Colorado | +14.5L0–52 | 66.5 | L0–52 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
South Dakota State Edge
South Dakota State +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2023 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Oklahoma State Edge
Oklahoma State +42.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2023 full season · preseason estimate
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 ✓