Sat, Sep 3 2022
·
Week 1
·
🏟 Bill Snyder Family Football Stadium
Manhattan, KS
·
Turf
·
50,000 cap
South Dakota✈ 248 miSame TZ
Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 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%
Kansas State wins
Strong
Vegas Spread
Kansas State -27
O/U 50.5
consensus
South Dakota 2022 Schedule
South Dakota's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | South Dakota at Kansas State | +27.0L0–34 | 50.5 | L0–34 | U | N |
Kansas State 2022 Schedule
Kansas State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Kansas State vs South Dakota | -27.0W34–0 | 50.5 | W34–0 | U | Y |
| Sat 9/10 | Kansas State vs Missouri | -7.0W40–12 | 52.5 | W40–12 | U | Y |
| Sat 9/17 | Kansas State vs Tulane | -13.5L10–17 | 49.0 | L10–17 | U | N |
| Sat 9/24 | Kansas State at Oklahoma | +13.5W41–34 | 53.0 | W41–34 | O | Y |
| Sat 10/1 | Kansas State vs Texas Tech | -7.5W37–28 | 56.0 | W37–28 | O | Y |
| Sat 10/8 | Kansas State at Iowa State | -1.0W10–9 | 45.0 | W10–9 | U | N |
| — Bye Week — | ||||||
| Sat 10/22 | Kansas State at TCU | +3.5L28–38 | 54.5 | L28–38 | O | N |
| Sat 10/29 | Kansas State vs Oklahoma State | -2.5W48–0 | 57.5 | W48–0 | U | Y |
| Sat 11/5 | Kansas State vs Texas | +3.0L27–34 | 54.5 | L27–34 | O | N |
| Sat 11/12 | Kansas State at Baylor | +2.5W31–3 | 52.0 | W31–3 | U | Y |
| Sat 11/19 | Kansas State at West Virginia | -8.0W48–31 | 54.5 | W48–31 | O | Y |
| Sat 11/26 | Kansas State vs Kansas | -11.5W47–27 | 62.0 | W47–27 | O | Y |
| Sat 12/3 | Kansas State vs TCU | +1.0W31–28 | 60.5 | W31–28 | U | Y |
| Sat 12/31 | Kansas State vs Alabama | +8.0L20–45 | 58.5 | L20–45 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
South Dakota Edge
South Dakota +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kansas State Edge
Kansas State +39.6
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2021 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 ✓