Sat, Oct 28 2023
·
Week 9
·
🏟 Huntington Bank Stadium
Minneapolis, MN
·
Turf
·
50,805 cap
Michigan State✈ 462 mi-1 hr TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Michigan State,
while Game Control favors Minnesota.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Michigan State wins
Lean
Game Control
50.6%
Minnesota wins
Toss-up
Vegas Spread
Minnesota -6.5
O/U 41.5
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Minnesota
· 73.9% ATS historically
↓ See full breakdown
Michigan State 2023 Schedule
Michigan State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/1 | Michigan State vs Central Michigan | -14.0W31–7 | 45.0 | W31–7 | U | Y |
| Sat 9/9 | Michigan State vs Richmond | -29.5W45–14 | 43.5 | W45–14 | O | Y |
| Sat 9/16 | Michigan State vs Washington | +14.5L7–41 | 57.0 | L7–41 | U | N |
| Sat 9/23 | Michigan State vs Maryland | +7.0L9–31 | 52.5 | L9–31 | U | N |
| Sat 9/30 | Michigan State at Iowa | +10.0L16–26 | 36.5 | L16–26 | O | Y |
| — Bye Week — | ||||||
| Sat 10/14 | Michigan State at Rutgers | +4.0L24–27 | 38.5 | L24–27 | O | Y |
| Sat 10/21 | Michigan State vs Michigan | +25.5L0–49 | 47.0 | L0–49 | O | N |
| Sat 10/28 | Michigan State at Minnesota | +6.5L12–27 | 41.5 | L12–27 | U | N |
| Sat 11/4 | Michigan State vs Nebraska | +3.0W20–17 | 34.5 | W20–17 | O | Y |
| Sat 11/11 | Michigan State at Ohio State | +30.5L3–38 | 48.5 | L3–38 | U | N |
| Sat 11/18 | Michigan State at Indiana | +3.5W24–21 | 47.5 | W24–21 | U | Y |
| Fri 11/24 | Michigan State vs Penn State | +20.0L0–42 | 42.0 | L0–42 | U | N |
Minnesota 2023 Schedule
Minnesota's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Minnesota vs Nebraska | -7.5W13–10 | 43.0 | W13–10 | U | N |
| Sat 9/9 | Minnesota vs Eastern Michigan | -19.5W25–6 | 48.0 | W25–6 | U | N |
| Sat 9/16 | Minnesota at North Carolina | +7.0L13–31 | 51.0 | L13–31 | U | N |
| Sat 9/23 | Minnesota at Northwestern | -11.5L34–37 | 39.5 | L34–37 | O | N |
| Sat 9/30 | Minnesota vs Louisiana | -9.5W35–24 | 49.0 | W35–24 | O | Y |
| Sat 10/7 | Minnesota vs Michigan | +18.5L10–52 | 46.0 | L10–52 | O | N |
| — Bye Week — | ||||||
| Sat 10/21 | Minnesota at Iowa | +3.0W12–10 | 30.5 | W12–10 | U | Y |
| Sat 10/28 | Minnesota vs Michigan State | -6.5W27–12 | 41.5 | W27–12 | U | Y |
| Sat 11/4 | Minnesota vs Illinois | -1.5L26–27 | 43.0 | L26–27 | O | N |
| Sat 11/11 | Minnesota at Purdue | -1.5L30–49 | 48.5 | L30–49 | O | N |
| Sat 11/18 | Minnesota at Ohio State | +27.5L3–37 | 51.5 | L3–37 | U | N |
| Sat 11/25 | Minnesota vs Wisconsin | +1.5L14–28 | 42.0 | L14–28 | U | N |
| Tue 12/26 | Minnesota vs Bowling Green | -2.5W30–24 | 45.0 | W30–24 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 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
→ Minnesota
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 · 2023 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?
Michigan State Edge
Michigan State +0.26
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Minnesota Edge
Minnesota +3.1
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Minnesota
2 — 1 sequences
✗ Predicted incorrectly
GC Battle
Minnesota
44.9 — 36.8 GC score
✓ Predicted correctly
Game Result
Minnesota won by 15
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
Michigan State
Harlon Barnett #1
0–1 (0%)
· Yr 1 at school
OC
Jay Johnson
Yr 3
#1
DC
Scottie Hazelton
Yr 3
#1
Minnesota
P. J. Fleck #1
46–28 (62%)
· Yr 7 at school
OC
Greg Harbaugh Jr.
Yr 1
#1
DC
Nick Monroe
Yr 1
#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 ✓
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 ✓