Sun, Dec 25 2022
·
Postseason
·
Neutral Site
·
🏟 Clarence T.C. Ching Athletics Complex
Honolulu, HI
·
Turf
·
9,000 cap
Middle Tennessee✈ 4,357 mi-5 hr TZ
San Diego State✈ 2,609 mi-3 hr TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Middle Tennessee,
while Game Control favors San Diego State.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Middle Tennessee wins
Lean
Game Control
50.6%
San Diego State wins
Toss-up
Vegas Spread
San Diego State -7.0
O/U 47.0
Bovada
Advanced Stats
PPA + Success Rate agree → San Diego State
· 73.9% ATS historically
↓ See full breakdown
Middle Tennessee 2022 Schedule
Middle Tennessee's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Middle Tennessee at James Madison | +4.5L7–44 | 60.5 | L7–44 | U | N |
| Sat 9/10 | Middle Tennessee at Colorado State | +13.5W34–19 | 58.0 | W34–19 | U | Y |
| Sat 9/17 | Middle Tennessee vs Tennessee State | -19.5W49–6 | 52.5 | W49–6 | O | Y |
| Sat 9/24 | Middle Tennessee at Miami | +25.5W45–31 | 53.5 | W45–31 | O | Y |
| Fri 9/30 | Middle Tennessee vs UTSA | +4.5L30–45 | 64.0 | L30–45 | O | N |
| Sat 10/8 | Middle Tennessee at UAB | +10.0L14–41 | 53.0 | L14–41 | O | N |
| Sat 10/15 | Middle Tennessee vs Western Kentucky | +7.5L17–35 | 67.5 | L17–35 | U | N |
| — Bye Week — | ||||||
| Sat 10/29 | Middle Tennessee at UTEP | +2.5W24–13 | 52.0 | W24–13 | U | Y |
| Sat 11/5 | Middle Tennessee at Louisiana Tech | -2.5L24–40 | 64.0 | L24–40 | U | N |
| Sat 11/12 | Middle Tennessee vs Charlotte | -10.0W24–14 | 67.0 | W24–14 | U | N |
| Sat 11/19 | Middle Tennessee vs Florida Atlantic | +5.5W49–21 | 51.0 | W49–21 | O | Y |
| Sat 11/26 | Middle Tennessee at Florida International | -19.5W33–28 | 54.5 | W33–28 | O | N |
| Sat 12/24 | Middle Tennessee vs San Diego State | +7.0W25–23 | 47.0 | W25–23 | O | Y |
San Diego State 2022 Schedule
San Diego State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | San Diego State vs Arizona | -6.0L20–38 | 46.5 | L20–38 | O | N |
| Sat 9/10 | San Diego State vs Idaho State | -33.5W38–7 | 50.5 | W38–7 | U | N |
| Sat 9/17 | San Diego State at Utah | +21.5L7–35 | 48.0 | L7–35 | U | N |
| Sat 9/24 | San Diego State vs Toledo | +2.5W17–14 | 44.5 | W17–14 | U | Y |
| Fri 9/30 | San Diego State at Boise State | +6.0L13–35 | 38.0 | L13–35 | O | N |
| Sat 10/8 | San Diego State vs Hawai'i | -23.5W16–14 | 48.5 | W16–14 | U | N |
| — Bye Week — | ||||||
| Sat 10/22 | San Diego State at Nevada | -7.5W23–7 | 36.0 | W23–7 | U | Y |
| Sat 10/29 | San Diego State at Fresno State | +10.0L28–32 | 43.5 | L28–32 | O | Y |
| Sat 11/5 | San Diego State vs UNLV | -5.0W14–10 | 47.0 | W14–10 | U | N |
| Sat 11/12 | San Diego State vs San José State | +2.5W43–27 | 41.0 | W43–27 | O | Y |
| Fri 11/18 | San Diego State at New Mexico | -15.0W34–10 | 36.0 | W34–10 | O | Y |
| Sat 11/26 | San Diego State vs Air Force | +2.0L3–13 | 43.5 | L3–13 | U | N |
| Sat 12/24 | San Diego State vs Middle Tennessee | -7.0L23–25 | 47.0 | L23–25 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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
→ San Diego 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 · 2022 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?
Middle Tennessee Edge
Middle Tennessee +0.20
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 11 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
San Diego State Edge
San Diego State +5.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 12 games this season
Actual Result
CSS Battle
San Diego State
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
San Diego State
59.5 — 19.6 GC score
✓ Predicted correctly
Game Result
Middle Tennessee won by 2
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
Middle Tennessee
Rick Stockstill #1
101–98 (51%)
· Yr 17 at school
OC
Mitch Stewart
Yr 1
#1
DC
Scott Shafer
Yr 2
#1
San Diego State
Brady Hoke #1
16–6 (73%)
· Yr 3 at school
OC
Jeff Hecklinski
Yr 2
#1
DC
Kurt Mattix
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: 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 ✓