Sat, Sep 3 2022
·
Week 1
·
🏟 Memorial Stadium
Lawrence, KS
·
Turf
·
50,071 cap
Tennessee Tech✈ 566 miSame 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
Kansas -30.5
O/U 62.0
consensus
Tennessee Tech 2022 Schedule
Tennessee Tech's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/2 | Tennessee Tech at Kansas | +30.5L10–56 | 62.0 | L10–56 | O | N |
Kansas 2022 Schedule
Kansas's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/2 | Kansas vs Tennessee Tech | -30.5W56–10 | 62.0 | W56–10 | O | Y |
| Sat 9/10 | Kansas at West Virginia | +14.0W55–42 | 59.5 | W55–42 | O | Y |
| Sat 9/17 | Kansas at Houston | +8.5W48–30 | 58.0 | W48–30 | O | Y |
| Sat 9/24 | Kansas vs Duke | -7.5W35–27 | 66.0 | W35–27 | U | Y |
| Sat 10/1 | Kansas vs Iowa State | +3.5W14–11 | 59.0 | W14–11 | U | Y |
| Sat 10/8 | Kansas vs TCU | +7.0L31–38 | 70.0 | L31–38 | U | Y |
| Sat 10/15 | Kansas at Oklahoma | +10.5L42–52 | 66.0 | L42–52 | O | Y |
| Sat 10/22 | Kansas at Baylor | +10.5L23–35 | 56.5 | L23–35 | O | N |
| — Bye Week — | ||||||
| Sat 11/5 | Kansas vs Oklahoma State | -3.0W37–16 | 59.5 | W37–16 | U | Y |
| Sat 11/12 | Kansas at Texas Tech | +3.5L28–43 | 63.5 | L28–43 | O | N |
| Sat 11/19 | Kansas vs Texas | +9.0L14–55 | 63.5 | L14–55 | O | N |
| Sat 11/26 | Kansas at Kansas State | +11.5L27–47 | 62.0 | L27–47 | O | N |
| Wed 12/28 | Kansas vs Arkansas | +1.5L53–55 | 70.5 | L53–55 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Tennessee Tech Edge
Tennessee Tech +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?
Tennessee Tech Edge
Tennessee Tech +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
Kansas
4 — 0 sequences
✗ Predicted incorrectly
GC Battle
Kansas
98.8 — 0.2 GC score
✗ Predicted incorrectly
Game Result
Kansas won by 46
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Kansas, 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.
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 ✓