Thu, Oct 12 2023
·
Week 7
·
🏟 Aggie Memorial Stadium
Las Cruces, NM
·
Turf
·
30,343 cap
Sam Houston✈ 668 mi-1 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
58.4%
New Mexico State wins
Lean
Game Control
76%
New Mexico State wins
Strong
Vegas Spread
New Mexico State -4.5
O/U 43.0
DraftKings
Advanced Stats
All 4 factors agree → New Mexico State
· 83.1% ATS historically when all four align
↓ See full breakdown
Sam Houston 2023 Schedule
Sam Houston's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Sam Houston at BYU | +19.0L0–14 | 46.5 | L0–14 | U | Y |
| Sat 9/9 | Sam Houston vs Air Force | +13.5L3–13 | 36.5 | L3–13 | U | Y |
| — Bye Week — | ||||||
| Sat 9/23 | Sam Houston at Houston | +11.5L7–38 | 37.0 | L7–38 | O | N |
| Thu 9/28 | Sam Houston vs Jacksonville State | +6.5L28–35 | 36.5 | L28–35 | O | N |
| Thu 10/5 | Sam Houston at Liberty | +21.0L16–21 | 46.5 | L16–21 | U | Y |
| Wed 10/11 | Sam Houston at New Mexico State | +4.5L13–27 | 43.0 | L13–27 | U | N |
| Wed 10/18 | Sam Houston vs Florida International | -6.0L27–33 | 42.0 | L27–33 | O | N |
| Wed 10/25 | Sam Houston vs UTEP | -4.0L34–37 | 38.5 | L34–37 | O | N |
| Sat 11/4 | Sam Houston vs Kennesaw State | -16.5W24–21 | 41.5 | W24–21 | O | N |
| Sat 11/11 | Sam Houston at Louisiana Tech | +8.5W42–27 | 49.5 | W42–27 | O | Y |
| Sat 11/18 | Sam Houston at Western Kentucky | +12.5L23–28 | 52.0 | L23–28 | U | Y |
| Sat 11/25 | Sam Houston vs Middle Tennessee | +3.5W23–20 | 49.5 | W23–20 | U | Y |
New Mexico State 2023 Schedule
New Mexico State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | New Mexico State vs Massachusetts | -7.0L30–41 | 45.5 | L30–41 | O | N |
| Sat 9/2 | New Mexico State vs Western Illinois | -21.0W58–21 | 55.0 | W58–21 | O | Y |
| Sat 9/9 | New Mexico State at Liberty | +9.0L17–33 | 54.5 | L17–33 | U | N |
| Sat 9/16 | New Mexico State at New Mexico | +2.5W27–17 | 52.0 | W27–17 | U | Y |
| Sat 9/23 | New Mexico State at Hawai'i | +4.0L17–20 | 54.5 | L17–20 | U | Y |
| — Bye Week — | ||||||
| Wed 10/4 | New Mexico State vs Florida International | -6.5W34–17 | 49.5 | W34–17 | O | Y |
| Wed 10/11 | New Mexico State vs Sam Houston | -4.5W27–13 | 43.0 | W27–13 | U | Y |
| Wed 10/18 | New Mexico State at UTEP | -3.0W28–7 | 48.5 | W28–7 | U | Y |
| Tue 10/24 | New Mexico State at Louisiana Tech | +3.0W27–24 | 55.0 | W27–24 | U | Y |
| Sat 11/4 | New Mexico State vs Middle Tennessee | -3.0W13–7 | 55.5 | W13–7 | U | Y |
| Sat 11/11 | New Mexico State at Western Kentucky | +4.5W38–29 | 55.5 | W38–29 | O | Y |
| Sat 11/18 | New Mexico State at Auburn | +25.5W31–10 | 48.5 | W31–10 | U | Y |
| Sat 11/25 | New Mexico State vs Jacksonville State | -2.0W20–17 | 48.5 | W20–17 | U | Y |
| Fri 12/1 | New Mexico State at Liberty | +10.5L35–49 | 54.0 | L35–49 | O | N |
| Sat 12/16 | New Mexico State vs Fresno State | -3.0L10–37 | 52.5 | L10–37 | U | N |
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
All 4 Agree
→ New Mexico State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ New Mexico State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ New Mexico State
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?
New Mexico State Edge
New Mexico State +0.20
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
New Mexico State Edge
New Mexico State +26.5
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 6 games this season
Actual Result
CSS Battle
New Mexico State
4 — 0 sequences
✓ Predicted correctly
GC Battle
New Mexico State
74.8 — 10.3 GC score
✓ Predicted correctly
Game Result
New Mexico State won by 14
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on New Mexico State with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Sam Houston
K. C. Keeler #1
85–29 (75%)
· Yr 10 at school
OC
Brad Cornelsen
Yr 1
#1
DC
Clayton Carlin
Yr 1
#1
New Mexico State
Jerry Kill #1
9–8 (53%)
· Yr 2 at school
OC
Tim Beck
Yr 2
#1
DC
Nate Dreiling
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 ✓

