SMU at Louisiana Tech Week 3 College Football Matchup SMU at Louisiana Tech Matchup - Week 3
Sat, Sep 18 2021 · Week 3 · 🏟 Joe Aillet Stadium Ruston, LA · Turf · 28,019 cap
SMU✈ 240 miSame TZ
Away
39 37
Final
📊 Punt & Rally Projection
SMU
41
Louisiana Tech
23
P&R Line SMU -18
P&R Total O/U 64.5
Confidence 90 High
Vegas SMU -11 · O/U 65.0
Matchup Prediction
SMU has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor SMU entering this game.
Momentum Control
61.3%
SMU wins
Lean
Game Control
75.9%
SMU wins
Solid
Vegas Spread
SMU -11
O/U 65.0
teamrankings
Advanced Stats
All 4 factors agree → SMU · 83.1% ATS historically when all four align
↓ See full breakdown
🏠 Louisiana Tech 2nd straight Home Game
SMU 2021 Schedule
SMU's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4SMU vs Abilene Christian-32.0W56–966.0W56–9UY
Sat 9/11SMU vs North Texas-22.5W35–1275.5W35–12UY
Sat 9/18SMU at Louisiana Tech-11.0W39–3765.0W39–37ON
Sat 9/25SMU at TCU+8.0W42–3466.0W42–34OY
Sat 10/2SMU vs South Florida-21.5W41–1768.5W41–17UY
Sat 10/9SMU at Navy-13.5W31–2457.0W31–24UN
— Bye Week —
Thu 10/21SMU vs Tulane-14.0W55–2670.5W55–26OY
Sat 10/30SMU at Houston-1.0L37–4461.5L37–44ON
Sat 11/6SMU at Memphis-3.5L25–2872.0L25–28UN
Sat 11/13SMU vs UCF-7.0W55–2861.5W55–28OY
Sat 11/20SMU at Cincinnati+9.5L14–4865.5L14–48UN
Sat 11/27SMU vs Tulsa-6.0L31–3463.0L31–34ON
Wed 12/29SMU vs Virginia+2.571.0
Louisiana Tech 2021 Schedule
Louisiana Tech's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4Louisiana Tech at Mississippi State+20.5L34–3552.5L34–35OY
Sat 9/11Louisiana Tech vs SE Louisiana-11.5W45–4270.5W45–42ON
Sat 9/18Louisiana Tech vs SMU+11.0L37–3965.0L37–39OY
Sat 9/25Louisiana Tech vs North Texas-9.5W24–1765.0W24–17UN
Sat 10/2Louisiana Tech at NC State+18.5L27–3456.0L27–34OY
— Bye Week —
Sat 10/16Louisiana Tech at UTEP-6.5L3–1955.5L3–19UN
Sat 10/23Louisiana Tech vs UTSA+5.5L16–4559.5L16–45ON
Sat 10/30Louisiana Tech at Old Dominion-4.0L20–2352.0L20–23UN
Sat 11/6Louisiana Tech at UAB+14.0L38–5249.5L38–52OY
Sat 11/13Louisiana Tech vs Charlotte-7.0W42–3258.0W42–32OY
Fri 11/19Louisiana Tech vs Southern Miss-15.0L19–3547.5L19–35ON
Sat 11/27Louisiana Tech at Rice-3.5L31–3552.5L31–35ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 season
SMU PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ SMU
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ SMU
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ SMU
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
SMU
+0.608
Louisiana Tech
+0.444
SMU Edge
PPA Passing
Pass efficiency edge · Strong predictor
SMU
+0.809
Louisiana Tech
+0.793
SMU Edge
Havoc Total
Def. disruption rate · Strong predictor
SMU
0.164
Louisiana Tech
0.152
TFLs, sacks, PBUs, forced fumbles — higher is better
SMU Edge
Points Per Opp
Drive-finishing edge · Strong predictor
SMU
+8.736
Louisiana Tech
+7.913
SMU Edge
Success Rate
Play consistency edge · Solid predictor
SMU
+0.935
Louisiana Tech
+0.806
SMU Edge
Field Position
Avg start (lower=better) · Solid predictor
SMU
67.8
Louisiana Tech
69.4
Avg yards from own endzone to average start — lower is better · longer bar = better field position
SMU Edge
Advanced stats sourced from CFBD · 2021 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
SMU Rated Higher
Overall Power Rating
SMU
16.2
Louisiana Tech
-5.0
Offense Rating
SMU
26.0
Louisiana Tech
13.5
Defense Rating (lower = better defense)
SMU
9.9
Louisiana Tech
18.4
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? SMU Edge
Avg sequences created per game
SMU #6
1.50
Louisiana Tech #82
1.00
Avg sequences allowed per game (lower is better)
SMU #110
0.00
Louisiana Tech #60
2.00
SMU +0.50
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? SMU Edge
Avg GC score per game (offense)
SMU #1
89.5
Louisiana Tech #1
59.6
Avg GC score allowed per game (lower is better)
SMU #27
6.1
Louisiana Tech #79
26.6
SMU +29.8
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
SMU
17.7 — 63.0 GC score
✓ Predicted correctly
Game Result
SMU won by 2
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on SMU 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
SMU
Sonny Dykes #1
25–14 (64%) · Yr 4 at school
OC Garrett Riley Yr 1 #1
DC Jim Leavitt Yr 1 #1
Staff Rating
0.00 #1
Louisiana Tech
Skip Holtz #1
62–43 (59%) · Yr 9 at school
OC Joe Sloan Yr 1 #1
DC David Blackwell 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