Wed, Oct 29 2025
·
Week 10
·
🏟 Johnny Red"" Floyd Stadium""
Murfreesboro, TN
·
Turf
·
31,000 cap
Jacksonville State✈ 144 miSame TZ
Matchup Prediction
Jacksonville State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Jacksonville State entering this game.
Momentum Control
61.3%
Jacksonville State wins
Lean
Game Control
75.9%
Jacksonville State wins
Solid
Vegas Spread
Jacksonville State -4.5
O/U 54.0
Bovada
Advanced Stats
All 4 factors agree → Jacksonville State
· 83.1% ATS historically when all four align
↓ See full breakdown
Jacksonville State 2025 Schedule
Jacksonville State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | Jacksonville State at UCF | +16.5L10–17 | 53.5 | L10–17 | U | Y |
| Sat 9/6 | Jacksonville State vs Liberty | +6.0W34–24 | 50.5 | W34–24 | O | Y |
| Sat 9/13 | Jacksonville State at Georgia Southern | +3.0L34–41 | 59.0 | L34–41 | O | N |
| Sat 9/20 | Jacksonville State vs Murray State | -35.5W45–10 | 60.5 | W45–10 | U | N |
| Sat 9/27 | Jacksonville State at Southern Miss | +4.5L25–42 | 55.5 | L25–42 | O | N |
| — Bye Week — | ||||||
| Thu 10/9 | Jacksonville State vs Sam Houston | -7.0W29–27 | 53.5 | W29–27 | O | N |
| Wed 10/15 | Jacksonville State vs Delaware | +3.0W38–25 | 55.5 | W38–25 | O | Y |
| — Bye Week — | ||||||
| Wed 10/29 | Jacksonville State at Middle Tennessee | -4.5W24–21 | 54.0 | W24–21 | U | N |
| Sat 11/8 | Jacksonville State at UTEP | -1.5W30–27 | 46.5 | W30–27 | O | Y |
| Sat 11/15 | Jacksonville State vs Kennesaw State | +3.5W35–26 | 56.5 | W35–26 | O | Y |
| Sat 11/22 | Jacksonville State at Florida International | +2.5L21–27 | 55.5 | L21–27 | U | N |
| Sat 11/29 | Jacksonville State vs Western Kentucky | +1.5W37–34 | 56.5 | W37–34 | O | Y |
| Fri 12/5 | Jacksonville State vs Kennesaw State | +3.0L15–19 | 62.5 | L15–19 | U | N |
| Tue 12/16 | Jacksonville State vs Troy | -3.0W17–13 | 47.5 | W17–13 | U | Y |
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 |
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
All 4 Agree
→ Jacksonville State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Jacksonville State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Jacksonville State
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?
Jacksonville State Edge
Jacksonville State +0.50
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Jacksonville State Edge
Jacksonville State +34.3
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 7 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Jacksonville State with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Jacksonville State
Charles Kelly #1
0–0 (0%)
· Yr 1 at school
OC
Clint Trickett
Yr 1
#1
DC
Brian Williams
Yr 1
#1
Middle Tennessee
Derek Mason #1
3–9 (25%)
· Yr 2 at school
OC
Bodie Reeder
Yr 2
#1
DC
Brian Stewart
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 ✓