Stanford at Colorado Week 7 College Football Matchup Stanford at Colorado Matchup - Week 7
Sat, Oct 14 2023 · Week 7 · 🏟 Folsom Field Boulder, CO · Turf · 50,183 cap
Stanford✈ 926 mi+1 hr TZ
Away
46 43
Final
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📊 Punt & Rally Projection
Stanford
25
Colorado
37
P&R Line Colorado -12
P&R Total O/U 61
Confidence 90 High
Vegas Colorado -13.0 · O/U 59.0
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Colorado, while Game Control favors Stanford. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Colorado wins
Lean
Game Control
58.3%
Stanford wins
Lean
Vegas Spread
Colorado -13.0
O/U 59.0
Bovada
Advanced Stats
All 4 factors agree → Colorado · 83.1% ATS historically when all four align
↓ See full breakdown
🛋 Stanford Coming off BYE
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
Colorado 2023 Schedule
Colorado's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Colorado at TCU+20.5W45–4259.5W45–42OY
Sat 9/9Colorado vs Nebraska-2.5W36–1456.5W36–14UY
Sat 9/16Colorado vs Colorado State-23.0W43–3563.0W43–35ON
Sat 9/23Colorado at Oregon+21.0L6–4270.0L6–42UN
Sat 9/30Colorado vs USC+22.0L41–4874.5L41–48OY
Sat 10/7Colorado at Arizona State-3.0W27–2458.0W27–24UN
Fri 10/13Colorado vs Stanford-13.0L43–4659.0L43–46ON
— Bye Week —
Sat 10/28Colorado at UCLA+14.0L16–2860.0L16–28UY
Sat 11/4Colorado vs Oregon State+13.0L19–2660.5L19–26UY
Sat 11/11Colorado vs Arizona+6.0L31–3455.5L31–34OY
Fri 11/17Colorado at Washington State+4.5L14–5659.5L14–56ON
Sat 11/25Colorado at Utah+21.5L17–2343.5L17–23UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
Colorado PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Colorado
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Colorado
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Colorado
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Stanford #114
+0.404
Colorado #58
+0.558
Colorado Edge
PPA Passing
Pass efficiency edge · Strong predictor
Stanford #106
+0.550
Colorado #53
+0.777
Colorado Edge
Havoc Total
Def. disruption rate · Strong predictor
Stanford #133
0.111
Colorado #82
0.156
TFLs, sacks, PBUs, forced fumbles — higher is better
Colorado Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Stanford #101
+7.691
Colorado #33
+9.460
Colorado Edge
Success Rate
Play consistency edge · Solid predictor
Stanford #114
+0.850
Colorado #77
+0.928
Colorado Edge
Field Position
Avg start (lower=better) · Solid predictor
Stanford #119
72.8
Colorado #94
71.3
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Colorado Edge
Advanced stats sourced from CFBD · 2023 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Colorado Rated Higher
Overall Power Rating
Stanford
-5.0
Colorado
0.1
Offense Rating
Stanford
11.1
Colorado
15.7
Defense Rating (lower = better defense)
Stanford
16.0
Colorado
15.6
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Colorado Edge
Avg sequences created per game
Stanford #67
1.00
Colorado #79
1.33
Avg sequences allowed per game (lower is better)
Stanford #123
1.50
Colorado #64
0.83
Colorado +0.33
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Stanford Edge
Avg GC score per game (offense)
Stanford #1
34.8
Colorado #1
25.0
Avg GC score allowed per game (lower is better)
Stanford #128
44.8
Colorado #120
58.0
Stanford +9.8
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Stanford
3 — 4 sequences
✗ Predicted incorrectly
GC Battle
Colorado
74.8 — 8.5 GC score
✗ Predicted incorrectly
Game Result
Stanford won by 3
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
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
Colorado
Deion Sanders #1
3–0 (100%) · Yr 1 at school
OC Sean Lewis Yr 1 #1
DC Charles Kelly 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