Sat, Aug 31 2024
·
Week 1
·
🏟 Bill Snyder Family Football Stadium
Manhattan, KS
·
Turf
·
50,000 cap
UT Martin✈ 465 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%
Kansas State wins
Strong
Vegas Spread
Kansas State -36.5
O/U 56.5
ESPN Bet
UT Martin 2024 Schedule
UT Martin's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | UT Martin at Kansas State | +36.5L6–41 | 56.5 | L6–41 | U | Y |
| — Bye Week — | ||||||
| Sat 9/28 | UT Martin at Kennesaw State | -1.5W24–13 | 45.5 | W24–13 | U | Y |
Kansas State 2024 Schedule
Kansas State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Kansas State vs UT Martin | -36.5W41–6 | 56.5 | W41–6 | U | N |
| Sat 9/7 | Kansas State at Tulane | -8.5W34–27 | 47.5 | W34–27 | O | N |
| Fri 9/13 | Kansas State vs Arizona | -7.0W31–7 | 58.0 | W31–7 | U | Y |
| Sat 9/21 | Kansas State at BYU | -7.5L9–38 | 49.5 | L9–38 | U | N |
| Sat 9/28 | Kansas State vs Oklahoma State | -6.0W42–20 | 58.0 | W42–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/12 | Kansas State at Colorado | -3.5W31–28 | 54.5 | W31–28 | O | N |
| Sat 10/19 | Kansas State at West Virginia | -2.5W45–18 | 56.5 | W45–18 | O | Y |
| Sat 10/26 | Kansas State vs Kansas | -10.0W29–27 | 56.5 | W29–27 | U | N |
| Sat 11/2 | Kansas State at Houston | -12.5L19–24 | 46.5 | L19–24 | U | N |
| — Bye Week — | ||||||
| Sat 11/16 | Kansas State vs Arizona State | -7.5L14–24 | 51.5 | L14–24 | U | N |
| Sat 11/23 | Kansas State vs Cincinnati | -7.5W41–15 | 54.5 | W41–15 | O | Y |
| Sat 11/30 | Kansas State at Iowa State | +2.5L21–29 | 51.5 | L21–29 | U | N |
| Thu 12/26 | Kansas State vs Rutgers | -7.5W44–41 | 51.5 | W44–41 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
UT Martin Edge
UT Martin +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?
Kansas State Edge
Kansas State +52.7
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: 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 ✓