Matchup Prediction
Navy
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Navy entering this game.
Momentum Control
61.3%
Navy wins
Lean
Game Control
49.4%
Navy wins
Toss-up
Vegas Spread
Memphis -3.5
O/U 57.5
ESPN Bet
Advanced Stats
PPA + Success Rate agree → Navy
· 73.9% ATS historically
↓ See full breakdown
Navy 2025 Schedule
Navy's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Navy vs VMI | -42.5W52–7 | 54.5 | W52–7 | O | Y |
| Sat 9/6 | Navy vs UAB | -20.5W38–24 | 59.0 | W38–24 | O | N |
| Sat 9/13 | Navy at Tulsa | -14.0W42–23 | 52.5 | W42–23 | O | Y |
| — Bye Week — | ||||||
| Sat 9/27 | Navy vs Rice | -14.0W21–13 | 45.5 | W21–13 | U | N |
| Sat 10/4 | Navy vs Air Force | -13.5W34–31 | 50.5 | W34–31 | O | N |
| Sat 10/11 | Navy at Temple | -10.0W32–31 | 52.5 | W32–31 | O | N |
| — Bye Week — | ||||||
| Sat 10/25 | Navy vs Florida Atlantic | -14.5W42–32 | 63.5 | W42–32 | O | N |
| Sat 11/1 | Navy at North Texas | +6.5L17–31 | 68.5 | L17–31 | U | N |
| Sat 11/8 | Navy at Notre Dame | +30.5L10–49 | 54.5 | L10–49 | O | N |
| Sat 11/15 | Navy vs South Florida | +8.5W41–38 | 62.5 | W41–38 | O | Y |
| — Bye Week — | ||||||
| Thu 11/27 | Navy at Memphis | +3.5W28–17 | 57.5 | W28–17 | U | Y |
| — Bye Week — | ||||||
| Sat 12/13 | Navy vs Army | -6.0W17–16 | 38.0 | W17–16 | U | N |
| Fri 1/2 | Navy vs Cincinnati | -7.5W35–13 | 57.5 | W35–13 | U | Y |
Memphis 2025 Schedule
Memphis's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Memphis vs Chattanooga | -30.5W45–10 | 55.5 | W45–10 | U | Y |
| Sat 9/6 | Memphis at Georgia State | -14.5W38–16 | 57.5 | W38–16 | U | Y |
| Sat 9/13 | Memphis at Troy | -4.5W28–7 | 51.5 | W28–7 | U | Y |
| Sat 9/20 | Memphis vs Arkansas | +7.0W32–31 | 59.5 | W32–31 | O | Y |
| Sat 9/27 | Memphis at Florida Atlantic | -14.0W55–26 | 62.5 | W55–26 | O | Y |
| Sat 10/4 | Memphis vs Tulsa | -21.0W45–7 | 54.5 | W45–7 | U | Y |
| — Bye Week — | ||||||
| Sat 10/18 | Memphis at UAB | -23.5L24–31 | 59.5 | L24–31 | U | N |
| Sat 10/25 | Memphis vs South Florida | +3.5W34–31 | 58.5 | W34–31 | O | Y |
| Fri 10/31 | Memphis at Rice | -13.5W38–14 | 48.5 | W38–14 | O | Y |
| Fri 11/7 | Memphis vs Tulane | -3.0L32–38 | 53.5 | L32–38 | O | N |
| Sat 11/15 | Memphis at East Carolina | +3.0L27–31 | 56.5 | L27–31 | O | N |
| — Bye Week — | ||||||
| Thu 11/27 | Memphis vs Navy | -3.5L17–28 | 57.5 | L17–28 | U | N |
| Fri 12/19 | Memphis vs NC State | +6.0L7–31 | 56.5 | L7–31 | U | 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
→ Navy
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?
Navy Edge
Navy +0.09
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Navy Edge
Navy +2.4
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 11 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Navy, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Navy
Brian Newberry #1
14–10 (58%)
· Yr 3 at school
OC
Drew Cronic
Yr 2
#1
DC
P.J. Volker
Yr 3
#1
Memphis
Ryan Silverfield #1
41–21 (66%)
· Yr 6 at school
OC
Tim Cramsey
Yr 3
#1
DC
Jordon Hankins
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 ✓