Sat, Sep 6 2025
·
Week 2
·
🏟 Aggie Memorial Stadium
Las Cruces, NM
·
Turf
·
30,343 cap
Tulsa✈ 671 mi-1 hr 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
49.4%
Tulsa wins
Toss-up
Vegas Spread
Tulsa -3.0
O/U 52.5
Bovada
Advanced Stats
PPA + Success Rate agree → Tulsa
· 73.9% ATS historically
↓ See full breakdown
Tulsa 2025 Schedule
Tulsa's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Tulsa vs Abilene Christian | -5.0W35–7 | 59.5 | W35–7 | U | Y |
| Sat 9/6 | Tulsa at New Mexico State | -3.0L14–21 | 52.5 | L14–21 | U | N |
| Sat 9/13 | Tulsa vs Navy | +14.0L23–42 | 52.5 | L23–42 | O | N |
| Fri 9/19 | Tulsa at Oklahoma State | +10.5W19–12 | 54.5 | W19–12 | U | Y |
| Sat 9/27 | Tulsa vs Tulane | +14.5L14–31 | 52.5 | L14–31 | U | N |
| Sat 10/4 | Tulsa at Memphis | +21.0L7–45 | 54.5 | L7–45 | U | N |
| — Bye Week — | ||||||
| Thu 10/16 | Tulsa at East Carolina | +16.5L27–41 | 54.5 | L27–41 | O | Y |
| Sat 10/25 | Tulsa vs Temple | +4.5L37–38 | 52.5 | L37–38 | O | Y |
| — Bye Week — | ||||||
| Sat 11/8 | Tulsa at Florida Atlantic | +4.5L21–40 | 60.5 | L21–40 | O | N |
| Sat 11/15 | Tulsa vs Oregon State | -1.5W31–14 | 50.5 | W31–14 | U | Y |
| Sat 11/22 | Tulsa at Army | +10.0W26–25 | 43.5 | W26–25 | O | Y |
| Sat 11/29 | Tulsa vs UAB | -9.0L24–31 | 56.5 | L24–31 | U | N |
New Mexico State 2025 Schedule
New Mexico State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | New Mexico State vs Bryant | -19.5W19–3 | 52.5 | W19–3 | U | N |
| Sat 9/6 | New Mexico State vs Tulsa | +3.0W21–14 | 52.5 | W21–14 | U | Y |
| Sat 9/13 | New Mexico State at Louisiana Tech | +10.0L14–49 | 42.5 | L14–49 | O | N |
| — Bye Week — | ||||||
| Sat 9/27 | New Mexico State at New Mexico | +16.5L20–38 | 53.5 | L20–38 | O | N |
| Thu 10/2 | New Mexico State vs Sam Houston | +1.5W37–10 | 53.5 | W37–10 | U | Y |
| — Bye Week — | ||||||
| Tue 10/14 | New Mexico State at Liberty | +10.5L27–30 | 48.5 | L27–30 | O | Y |
| Wed 10/22 | New Mexico State vs Missouri State | +2.5L17–24 | 51.5 | L17–24 | U | N |
| Sat 11/1 | New Mexico State at Western Kentucky | +7.5L16–35 | 53.5 | L16–35 | U | N |
| Sat 11/8 | New Mexico State vs Kennesaw State | +11.5L21–24 | 52.5 | L21–24 | U | Y |
| Sat 11/15 | New Mexico State at Tennessee | +41.5L9–42 | 59.5 | L9–42 | U | Y |
| Sat 11/22 | New Mexico State at UTEP | +4.0W34–31 | 44.5 | W34–31 | O | Y |
| Sat 11/29 | New Mexico State vs Middle Tennessee | -3.5L24–31 | 52.0 | L24–31 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Tulsa
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2025 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Tulsa Edge
Tulsa +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?
Tulsa Edge
Tulsa +2.6
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 1 game this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Tulsa
Tre Lamb #1
0–0 (0%)
· Yr 1 at school
OC
Ty Darlington
Yr 1
#1
DC
Mike Gray
Yr 1
#1
New Mexico State
Tony Sanchez #1
3–9 (25%)
· Yr 2 at school
OC
Tyler Wright
Yr 2
#1
DC
Joe Morris
Yr 2
#1
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 ✓