Fri, Sep 2 2022
·
Week 1
·
🏟 Huntington Bank Stadium
Minneapolis, MN
·
Turf
·
50,805 cap
New Mexico State✈ 1,137 mi+1 hr TZ
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
50.6%
—
Toss-up
Vegas Spread
Minnesota -36
O/U 52.5
teamrankings
Advanced Stats
PPA + Success Rate agree → Minnesota
· 73.9% ATS historically
↓ See full breakdown
New Mexico State 2022 Schedule
New Mexico State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/27 | New Mexico State vs Nevada | +7.0L12–23 | 48.0 | L12–23 | U | N |
| Thu 9/1 | New Mexico State at Minnesota | +36.0L0–38 | 52.5 | L0–38 | U | N |
| Sat 9/10 | New Mexico State at UTEP | +17.0L13–20 | 46.5 | L13–20 | U | Y |
| Sat 9/17 | New Mexico State at Wisconsin | +38.0L7–66 | 45.5 | L7–66 | O | N |
| Sat 9/24 | New Mexico State vs Hawai'i | -4.5W45–26 | 53.0 | W45–26 | O | Y |
| Sat 10/1 | New Mexico State vs Florida International | -15.0L7–21 | 54.0 | L7–21 | U | N |
| — Bye Week — | ||||||
| Sat 10/15 | New Mexico State vs New Mexico | +7.0W21–9 | 38.5 | W21–9 | U | Y |
| Sat 10/22 | New Mexico State vs San José State | +21.0 | 43.0 | — | — | — |
| Sat 10/29 | New Mexico State at Massachusetts | -1.0W23–13 | 39.0 | W23–13 | U | Y |
| — Bye Week — | ||||||
| Sat 11/12 | New Mexico State vs Lamar | -22.0W51–14 | 48.5 | W51–14 | O | Y |
| Sat 11/19 | New Mexico State at Missouri | +29.0L14–45 | 46.5 | L14–45 | O | N |
| Sat 11/26 | New Mexico State at Liberty | +24.0W49–14 | 51.0 | W49–14 | O | Y |
| Sat 12/3 | New Mexico State vs Valparaiso | -31.5W65–3 | 55.0 | W65–3 | O | Y |
| Mon 12/26 | New Mexico State vs Bowling Green | +3.0W24–19 | 51.0 | W24–19 | U | Y |
Minnesota 2022 Schedule
Minnesota's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Minnesota vs New Mexico State | -36.0W38–0 | 52.5 | W38–0 | U | Y |
| Sat 9/10 | Minnesota vs Western Illinois | -41.0W62–10 | 56.5 | W62–10 | O | Y |
| Sat 9/17 | Minnesota vs Colorado | -28.0W49–7 | 47.5 | W49–7 | O | Y |
| Sat 9/24 | Minnesota at Michigan State | -3.0W34–7 | 50.0 | W34–7 | U | Y |
| Sat 10/1 | Minnesota vs Purdue | -9.0L10–20 | 53.0 | L10–20 | U | N |
| — Bye Week — | ||||||
| Sat 10/15 | Minnesota at Illinois | -4.5L14–26 | 40.0 | L14–26 | U | N |
| Sat 10/22 | Minnesota at Penn State | +5.5L17–45 | 43.0 | L17–45 | O | N |
| Sat 10/29 | Minnesota vs Rutgers | -14.0W31–0 | 40.5 | W31–0 | U | Y |
| Sat 11/5 | Minnesota at Nebraska | -14.5W20–13 | 44.5 | W20–13 | U | N |
| Sat 11/12 | Minnesota vs Northwestern | -17.0W31–3 | 40.5 | W31–3 | U | Y |
| Sat 11/19 | Minnesota vs Iowa | -2.0L10–13 | 31.5 | L10–13 | U | N |
| Sat 11/26 | Minnesota at Wisconsin | +3.0W23–16 | 37.0 | W23–16 | O | Y |
| Thu 12/29 | Minnesota vs Syracuse | -10.5W28–20 | 45.0 | W28–20 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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 · 2022 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?
New Mexico State Edge
New Mexico State +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?
New Mexico State Edge
New Mexico State +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Minnesota
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
Minnesota
97.9 — 0.2 GC score
✗ Predicted incorrectly
Game Result
Minnesota won by 38
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Minnesota, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
New Mexico State
Jerry Kill #1
0–0 (0%)
· Yr 1 at school
OC
Tim Beck
Yr 1
#1
DC
Nate Dreiling
Yr 1
#1
Minnesota
P. J. Fleck #1
35–23 (60%)
· Yr 6 at school
OC
Kirk Ciarrocca
Yr 1
#1
DC
Joe Rossi
Yr 2
#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 ✓