Sacramento State at Stanford Week 3 College Football Matchup Sacramento State at Stanford Matchup - Week 3
Sun, Sep 17 2023 · Week 3 · 🏟 Stanford Stadium Stanford, CA · Turf · 50,424 cap
Sacramento State✈ 87 miSame TZ
30 23
Final
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Preseason projection — This game has not yet been played and 2023 in-season data is not yet available. Edges are based on 2022 full-season performance. Confidence will increase once in-season games are logged.
📊 Punt & Rally Projection
Sacramento State
34
SAC +7
Stanford
24
P&R Line Sacramento State -10.5
P&R Total O/U 58
Confidence 38 New FBS Team
Vegas Stanford -7 · O/U 60.5
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
75.9%
Sacramento State wins
Solid
Vegas Spread
Stanford -7
O/U 60.5
William Hill (New Jersey)
Sacramento State 2023 Schedule
Sacramento State's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
— Bye Week —
Sat 9/16Sacramento State at Stanford+7.0W30–2360.5W30–23UY
Stanford 2023 Schedule
Stanford's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 9/1Stanford at Hawai'i-2.0W37–2454.0W37–24OY
Sat 9/9Stanford at USC+28.5L10–5670.5L10–56UN
Sat 9/16Stanford vs Sacramento State-7.0L23–3060.5L23–30UN
Sat 9/23Stanford vs Arizona+13.0L20–2160.0L20–21UY
Sat 9/30Stanford vs Oregon+27.0L6–4259.5L6–42UN
— Bye Week —
Fri 10/13Stanford at Colorado+13.0W46–4359.0W46–43OY
Sat 10/21Stanford vs UCLA+17.0L7–4252.0L7–42UN
Sat 10/28Stanford vs Washington+27.5L33–4262.0L33–42OY
Sat 11/4Stanford at Washington State+13.0W10–759.5W10–7UY
Sat 11/11Stanford at Oregon State+21.5L17–6251.5L17–62ON
Sat 11/18Stanford vs California+6.5L15–2752.5L15–27UN
Sat 11/25Stanford vs Notre Dame+26.0L23–5650.5L23–56ON
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Stanford Rated Higher
Overall Power Rating
Sacramento State
-11.8
Stanford
-4.0
Offense Rating
Sacramento State
8.7
Stanford
11.1
Defense Rating (lower = better defense)
Sacramento State
20.5
Stanford
15.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Sacramento State Edge
Avg sequences created per game
Sacramento State
0.00
Stanford #109
0.46
Avg sequences allowed per game (lower is better)
Sacramento State
0.00
Stanford #123
1.91
Sacramento State +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Sacramento State Edge
Avg GC score per game (offense)
Sacramento State #1
90.7
Stanford #103
24.3
Avg GC score allowed per game (lower is better)
Sacramento State #1
5.2
Stanford #120
65.3
Sacramento State +66.4
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2022 full season · preseason estimate
Coaching Matchup
Sacramento State
Andy Thompson #1
0–0 (0%) · Yr 1 at school
OC Bobby Fresques Yr 1 #1
DC Andy Thompson Yr 2 #1
Staff Rating
0.00 #1
Stanford
Troy Taylor #1
1–2 (33%) · Yr 1 at school
OC Troy Taylor Yr 1 #1
DC Bobby April III Yr 1 #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