Stanford at BYU Week 2 College Football Matchup Stanford at BYU Matchup - Week 2
Sat, Sep 6 2025 · Week 2 · 🏟 LaVell Edwards Stadium Provo, UT · Turf · 63,725 cap
Stanford✈ 597 mi+1 hr TZ
Away
3 27
Final
BYU
Home
📊 Punt & Rally Projection
Stanford
12
BYU -20.5
BYU
35
P&R Line BYU -22.5
P&R Total O/U 47
Confidence 90 High
Vegas BYU -20.5 · O/U 44.5
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
Lean
Game Control
76%
BYU wins
Strong
Vegas Spread
BYU -20.5
O/U 44.5
Bovada
Advanced Stats
All 4 factors agree → BYU · 83.1% ATS historically when all four align
↓ See full breakdown
🏠 BYU 2nd straight Home Game 🚌 Stanford 2nd straight Road Game
Stanford 2025 Schedule
Stanford's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/23Stanford at Hawai'i+1.5L20–2353.5L20–23UN
Sat 9/6Stanford at BYU+20.5L3–2744.5L3–27UN
Sat 9/13Stanford vs Boston College+14.0W30–2044.5W30–20OY
Sat 9/20Stanford at Virginia+16.5L20–4848.5L20–48ON
Sat 9/27Stanford vs San José State-3.0W30–2949.5W30–29ON
— Bye Week —
Sat 10/11Stanford at SMU+19.5L10–3455.5L10–34UN
Sat 10/18Stanford vs Florida State+17.5W20–1355.5W20–13UY
Sat 10/25Stanford at Miami+28.5L7–4245.5L7–42ON
Sat 11/1Stanford vs Pittsburgh+13.5L20–3551.5L20–35ON
Sat 11/8Stanford at North Carolina+8.5L15–2041.5L15–20UY
— Bye Week —
Sat 11/22Stanford vs California+4.5W31–1047.5W31–10UY
Sat 11/29Stanford vs Notre Dame+32.5L20–4950.5L20–49OY
BYU 2025 Schedule
BYU's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30BYU vs Portland State-43.5W69–061.5W69–0OY
Sat 9/6BYU vs Stanford-20.5W27–344.5W27–3UY
— Bye Week —
Sat 9/20BYU at East Carolina-6.5W34–1349.5W34–13UY
Sat 9/27BYU at Colorado-6.5W24–2148.5W24–21UN
Fri 10/3BYU vs West Virginia-19.5W38–2446.5W38–24ON
Sat 10/11BYU at Arizona-2.5W33–2746.5W33–27OY
Sat 10/18BYU vs Utah+4.0W24–2149.5W24–21UY
Sat 10/25BYU at Iowa State+2.5W41–2748.5W41–27OY
— Bye Week —
Sat 11/8BYU at Texas Tech+13.5L7–2950.5L7–29UN
Sat 11/15BYU vs TCU-3.0W44–1351.5W44–13OY
Sat 11/22BYU at Cincinnati-2.5W26–1456.5W26–14UY
Sat 11/29BYU vs UCF-17.5W41–2146.5W41–21OY
Sat 12/6BYU vs Texas Tech+12.5L7–3450.5L7–34UN
Sat 12/27BYU vs Georgia Tech-3.5W25–2155.0W25–21UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
BYU PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ BYU
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ BYU
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ BYU
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Stanford #120
+0.154
BYU #34
+0.391
BYU Edge
PPA Passing
Pass efficiency edge · Strong predictor
Stanford #98
+0.372
BYU #54
+0.621
BYU Edge
Havoc Total
Def. disruption rate · Strong predictor
Stanford #94
0.146
BYU #65
0.158
TFLs, sacks, PBUs, forced fumbles — higher is better
BYU Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Stanford #122
+6.312
BYU #39
+7.492
BYU Edge
Success Rate
Play consistency edge · Solid predictor
Stanford #127
+0.754
BYU #33
+0.880
BYU Edge
Field Position
Avg start (lower=better) · Solid predictor
Stanford #135
74.6
BYU #77
71.2
Avg yards from own endzone to average start — lower is better · longer bar = better field position
BYU Edge
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
BYU Rated Higher
Overall Power Rating
Stanford
-4.0
BYU
14.5
Offense Rating
Stanford
11.1
BYU
21.4
Defense Rating (lower = better defense)
Stanford
15.1
BYU
7.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Stanford Edge
Avg sequences created per game
Stanford #74
0.00
BYU #34
0.00
Avg sequences allowed per game (lower is better)
Stanford #112
1.00
BYU #50
0.00
Stanford +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? BYU Edge
Avg GC score per game (offense)
Stanford #1
36.6
BYU #1
96.7
Avg GC score allowed per game (lower is better)
Stanford #122
41.4
BYU #34
0.1
BYU +60.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 1 game this season
Actual Result
CSS Battle
BYU
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
BYU
86.2 — 5.3 GC score
✓ Predicted correctly
Game Result
BYU won by 24
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on BYU 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
Stanford
Troy Taylor #1
6–18 (25%) · Yr 3 at school
OC Troy Taylor Yr 3 #1
DC Bobby April Yr 1 #1
Staff Rating
0.00 #1
BYU
Kalani Sitake #1
71–43 (62%) · Yr 10 at school
OC Aaron Roderick Yr 3 #1
DC Jay Hill Yr 3 #1
Staff Rating
0.00 #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