Mon, Dec 26 2022
·
Postseason
·
Neutral Site
·
🏟 Ford Field
Detroit, MI
·
Turf
·
65,000 cap
New Mexico State✈ 1,469 mi+2 hr TZ
Matchup Prediction
New Mexico State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
New Mexico State entering this game.
Momentum Control
61.3%
New Mexico State wins
Lean
Game Control
58.3%
New Mexico State wins
Lean
Vegas Spread
Bowling Green -3.0
O/U 51.0
Bovada
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ 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 |
Bowling Green 2022 Schedule
Bowling Green's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Bowling Green at UCLA | +24.0L17–45 | 56.5 | L17–45 | O | N |
| Sat 9/10 | Bowling Green vs Eastern Kentucky | -7.5L57–59 | 57.0 | L57–59 | O | N |
| Sat 9/17 | Bowling Green vs Marshall | +17.0W34–31 | 50.0 | W34–31 | O | Y |
| Sat 9/24 | Bowling Green at Mississippi State | +31.0L14–45 | 53.0 | L14–45 | O | Y |
| Sat 10/1 | Bowling Green at Akron | -9.0W31–28 | 49.5 | W31–28 | O | N |
| Sat 10/8 | Bowling Green vs Buffalo | +2.0L7–38 | 55.5 | L7–38 | U | N |
| Sat 10/15 | Bowling Green vs Miami (OH) | +7.0W17–13 | 45.0 | W17–13 | U | Y |
| Sat 10/22 | Bowling Green at Central Michigan | +5.5W34–18 | 51.0 | W34–18 | O | Y |
| — Bye Week — | ||||||
| Wed 11/2 | Bowling Green vs Western Michigan | -5.0W13–9 | 48.0 | W13–9 | U | N |
| Wed 11/9 | Bowling Green vs Kent State | +2.5L6–40 | 55.5 | L6–40 | U | N |
| Tue 11/15 | Bowling Green at Toledo | +14.5W42–35 | 47.0 | W42–35 | O | Y |
| Tue 11/22 | Bowling Green at Ohio | +5.5L14–38 | 52.5 | L14–38 | U | N |
| Mon 12/26 | Bowling Green vs New Mexico State | -3.0L19–24 | 51.0 | L19–24 | U | 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
Split
Metrics disagree
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 +0.69
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 12 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
New Mexico State Edge
New Mexico State +7.8
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 12 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on New Mexico State. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
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
Bowling Green
Scot Loeffler #1
7–22 (24%)
· Yr 4 at school
OC
Terry Malone
Yr 2
#1
DC
Eric Lewis
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 ✓

