Sat, Nov 29 2025
·
Week 14
·
🏟 Aggie Memorial Stadium
Las Cruces, NM
·
Turf
·
30,343 cap
Middle Tennessee✈ 1,189 mi-1 hr TZ
Matchup Prediction
New Mexico State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
New Mexico State entering this game.
Momentum Control
58.4%
New Mexico State wins
Lean
Game Control
58.6%
New Mexico State wins
Lean
Vegas Spread
New Mexico State -3.5
O/U 52.0
Bovada
Advanced Stats
PPA + Success Rate agree → Middle Tennessee
· 73.9% ATS historically
↓ See full breakdown
Middle Tennessee 2025 Schedule
Middle Tennessee's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Middle Tennessee vs Austin Peay | -14.5L14–34 | 53.5 | L14–34 | U | N |
| Sat 9/6 | Middle Tennessee at Wisconsin | +28.5L10–42 | 45.5 | L10–42 | O | N |
| Sat 9/13 | Middle Tennessee at Nevada | +9.0W14–13 | 50.0 | W14–13 | U | Y |
| Sat 9/20 | Middle Tennessee vs Marshall | +2.5L28–42 | 46.5 | L28–42 | O | N |
| Sat 9/27 | Middle Tennessee at Kennesaw State | +7.0L16–24 | 54.5 | L16–24 | U | N |
| — Bye Week — | ||||||
| Wed 10/8 | Middle Tennessee vs Missouri State | +2.5L20–22 | 52.5 | L20–22 | U | Y |
| — Bye Week — | ||||||
| Wed 10/22 | Middle Tennessee at Delaware | +9.5L28–31 | 55.5 | L28–31 | O | Y |
| Wed 10/29 | Middle Tennessee vs Jacksonville State | +4.5L21–24 | 54.0 | L21–24 | U | Y |
| Sat 11/8 | Middle Tennessee vs Florida International | -1.5L30–56 | 50.5 | L30–56 | O | N |
| Sat 11/15 | Middle Tennessee at Western Kentucky | +13.5L26–42 | 51.5 | L26–42 | O | N |
| Sat 11/22 | Middle Tennessee vs Sam Houston | -6.5W31–17 | 53.5 | W31–17 | U | Y |
| Sat 11/29 | Middle Tennessee at New Mexico State | +3.5W31–24 | 52.0 | W31–24 | O | Y |
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
→ Middle Tennessee
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?
New Mexico State Edge
New Mexico State +0.40
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
New Mexico State Edge
New Mexico State +8.6
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 11 games this season
Actual Result
CSS Battle
New Mexico State
1 — 0 sequences
✓ Predicted correctly
GC Battle
Middle Tennessee
27.4 — 35.8 GC score
✗ Predicted incorrectly
Game Result
Middle Tennessee won by 7
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on New Mexico State. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Middle Tennessee
Derek Mason #1
3–9 (25%)
· Yr 2 at school
OC
Bodie Reeder
Yr 2
#1
DC
Brian Stewart
Yr 2
#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 ✓