Thu, Aug 28 2025
·
Week 1
·
🏟 Boone Pickens Stadium
Stillwater, OK
·
Turf
·
60,218 cap
UT Martin✈ 457 miSame TZ
Preseason projection — This game has not yet been played and 2025 in-season data is not yet available.
Edges are based on 2024 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
58.3%
UT Martin wins
Lean
Vegas Spread
Oklahoma State -26.0
O/U 56.5
Bovada
UT Martin 2025 Schedule
UT Martin's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | UT Martin at Oklahoma State | +26.0L7–27 | 56.5 | L7–27 | U | Y |
| Sat 9/6 | UT Martin at UTEP | +7.5L17–42 | 49.5 | L17–42 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | UT Martin at Missouri State | +14.0L10–42 | 55.5 | L10–42 | U | N |
Oklahoma State 2025 Schedule
Oklahoma State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | Oklahoma State vs UT Martin | -26.0W27–7 | 56.5 | W27–7 | U | N |
| Sat 9/6 | Oklahoma State at Oregon | +28.5L3–69 | 55.5 | L3–69 | O | N |
| — Bye Week — | ||||||
| Fri 9/19 | Oklahoma State vs Tulsa | -10.5L12–19 | 54.5 | L12–19 | U | N |
| Sat 9/27 | Oklahoma State vs Baylor | +21.0L27–45 | 58.5 | L27–45 | O | Y |
| Sat 10/4 | Oklahoma State at Arizona | +21.5L13–41 | 56.5 | L13–41 | U | N |
| Sat 10/11 | Oklahoma State vs Houston | +14.5L17–39 | 47.5 | L17–39 | O | N |
| Sat 10/18 | Oklahoma State vs Cincinnati | +23.5L17–49 | 57.5 | L17–49 | O | N |
| Sat 10/25 | Oklahoma State at Texas Tech | +37.5L0–42 | 56.5 | L0–42 | U | N |
| Sat 11/1 | Oklahoma State at Kansas | +24.5L21–38 | 54.5 | L21–38 | O | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Oklahoma State vs Kansas State | +19.5L6–14 | 50.5 | L6–14 | U | Y |
| Sat 11/22 | Oklahoma State at UCF | +13.5L14–17 | 47.5 | L14–17 | U | Y |
| Sat 11/29 | Oklahoma State vs Iowa State | +13.5L13–20 | 47.5 | L13–20 | U | Y |
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 2024 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
UT Martin Edge
UT Martin +9.6
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 2024 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 ✓