Sat, Sep 12 2026
·
Week 2
·
🏟 Albertsons Stadium
Boise, ID
·
Turf
·
36,387 cap
Memphis✈ 1,510 mi-1 hr TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Boise State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Boise State entering this game.
Momentum Control
58.4%
Boise State wins
Lean
Game Control
58.6%
Boise State wins
Lean
Advanced Stats
PPA + Success Rate agree → Boise State
· 73.9% ATS historically
↓ See full breakdown
Memphis 2026 Schedule
Memphis's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/29 | Memphis at UNLV | +0 | — | — | — | — |
| Sat 9/5 | Memphis vs Arkansas State | -21.5 | — | — | — | — |
| Sat 9/12 | Memphis at Boise State | +0.5 | — | — | — | — |
| Sat 9/19 | Memphis vs UT Martin | -28.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/3 | Memphis at Charlotte | -25 | — | — | — | — |
| Sat 10/10 | Memphis vs UAB | -24 | — | — | — | — |
| Fri 10/16 | Memphis at Tulane | +0.5 | — | — | — | — |
| Thu 10/22 | Memphis vs East Carolina | -3 | — | — | — | — |
| Sat 10/31 | Memphis vs Army | -8 | — | — | — | — |
| — Bye Week — | ||||||
| Thu 11/12 | Memphis at South Florida | +4 | — | — | — | — |
| Sat 11/21 | Memphis at Navy | -0.5 | — | — | — | — |
| Fri 11/27 | Memphis vs Temple | -12.5 | — | — | — | — |
Boise State 2026 Schedule
Boise State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Boise State at Oregon | +24.5 | — | — | — | — |
| Sat 9/12 | Boise State vs Memphis | -0.5 | — | — | — | — |
| Sat 9/19 | Boise State vs South Dakota | -26.5 | — | — | — | — |
| Sat 9/26 | Boise State at Western Michigan | -4 | — | — | — | — |
| Sat 10/3 | Boise State vs Utah State | -11.5 | — | — | — | — |
| Sat 10/10 | Boise State at Fresno State | +1.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/24 | Boise State at Washington State | -1.5 | — | — | — | — |
| Sat 10/31 | Boise State vs Texas State | -2.5 | — | — | — | — |
| Sat 11/7 | Boise State at Colorado State | -13 | — | — | — | — |
| Sat 11/14 | Boise State vs Oregon State | -17 | — | — | — | — |
| Sat 11/21 | Boise State vs San Diego State | -0.5 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
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
→ Boise 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 (prior year — 2026 data not yet available) ·
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?
Boise State Edge
Boise State +0.33
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Boise State Edge
Boise State +5.3
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Memphis
Charles Huff #49
0–0 (0%)
· Yr 1 at school
OC
Kevin Decker
Yr 1
#51
DC
Lance Guidry
Yr 1
#47
Boise State
Spencer Danielson #47
24–8 (75%)
· Yr 4 at school
OC
Nate Potter
Yr 2
#58
DC
Erik Chinander
Yr 3
#67
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 ✓