Tue, Dec 30 2025
·
Postseason
·
Neutral Site
·
🏟 Independence Stadium
Shreveport, FL
·
Turf
·
49,565 cap
Coastal Carolina✈ 859 mi-1 hr TZ
Matchup Prediction
Louisiana Tech
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Louisiana Tech entering this game.
Momentum Control
58.4%
Louisiana Tech wins
Lean
Game Control
67.1%
Louisiana Tech wins
Solid
Vegas Spread
Louisiana Tech -10.0
O/U 51.0
Bovada
Advanced Stats
All 4 factors agree → Louisiana Tech
· 83.1% ATS historically when all four align
↓ See full breakdown
Coastal Carolina 2025 Schedule
Coastal Carolina's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Coastal Carolina at Virginia | +12.5L7–48 | 57.5 | L7–48 | U | N |
| Sat 9/6 | Coastal Carolina vs Charleston Southern | -28.5W13–0 | 49.0 | W13–0 | U | N |
| Sat 9/13 | Coastal Carolina vs East Carolina | +7.0L0–38 | 58.0 | L0–38 | U | N |
| Sat 9/20 | Coastal Carolina at South Alabama | +14.5W38–20 | 51.5 | W38–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/4 | Coastal Carolina at Old Dominion | +18.5L7–47 | 53.5 | L7–47 | O | N |
| Sat 10/11 | Coastal Carolina vs UL Monroe | +3.0W23–8 | 46.5 | W23–8 | U | Y |
| Sat 10/18 | Coastal Carolina at App State | +10.5W45–37 | 48.5 | W45–37 | O | Y |
| — Bye Week — | ||||||
| Thu 10/30 | Coastal Carolina vs Marshall | +7.5W44–27 | 55.5 | W44–27 | O | Y |
| Sat 11/8 | Coastal Carolina vs Georgia State | -7.0W40–27 | 56.5 | W40–27 | O | Y |
| Sat 11/15 | Coastal Carolina at Georgia Southern | +3.0L40–45 | 59.5 | L40–45 | O | N |
| Sat 11/22 | Coastal Carolina at South Carolina | +24.0L7–51 | 50.0 | L7–51 | O | N |
| Sat 11/29 | Coastal Carolina vs James Madison | +24.0L10–59 | 54.5 | L10–59 | O | N |
| Tue 12/30 | Coastal Carolina vs Louisiana Tech | +10.0L14–23 | 51.0 | L14–23 | U | Y |
Louisiana Tech 2025 Schedule
Louisiana Tech's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Louisiana Tech vs SE Louisiana | -14.5W24–0 | 50.5 | W24–0 | U | Y |
| Sat 9/6 | Louisiana Tech at LSU | +36.5L7–23 | 49.5 | L7–23 | U | Y |
| Sat 9/13 | Louisiana Tech vs New Mexico State | -10.0W49–14 | 42.5 | W49–14 | O | Y |
| Sat 9/20 | Louisiana Tech vs Southern Miss | -3.0W30–20 | 51.5 | W30–20 | U | Y |
| Sat 9/27 | Louisiana Tech at UTEP | -3.5W30–11 | 48.5 | W30–11 | U | Y |
| — Bye Week — | ||||||
| Thu 10/9 | Louisiana Tech at Kennesaw State | -4.5L7–35 | 46.5 | L7–35 | U | N |
| — Bye Week — | ||||||
| Tue 10/21 | Louisiana Tech vs Western Kentucky | -5.5L27–28 | 49.5 | L27–28 | O | N |
| Fri 10/31 | Louisiana Tech vs Sam Houston | -16.5W55–14 | 48.0 | W55–14 | O | Y |
| Sat 11/8 | Louisiana Tech at Delaware | -5.5L24–25 | 57.5 | L24–25 | U | N |
| Sat 11/15 | Louisiana Tech at Washington State | +10.0L3–28 | 43.5 | L3–28 | U | N |
| Sat 11/22 | Louisiana Tech vs Liberty | +1.5W34–28 | 45.5 | W34–28 | O | Y |
| Sat 11/29 | Louisiana Tech at Missouri State | +2.5W42–30 | 45.0 | W42–30 | O | Y |
| Tue 12/30 | Louisiana Tech vs Coastal Carolina | -10.0W23–14 | 51.0 | W23–14 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Louisiana Tech
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Louisiana Tech
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Louisiana Tech
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 · 2025 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?
Louisiana Tech Edge
Louisiana Tech +0.18
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 11 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisiana Tech Edge
Louisiana Tech +18.6
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 12 games this season
Actual Result
CSS Battle
Louisiana Tech
1 — 0 sequences
✓ Predicted correctly
GC Battle
Coastal Carolina
38.2 — 38.6 GC score
✗ Predicted incorrectly
Game Result
Louisiana Tech won by 9
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Louisiana Tech with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Coastal Carolina
Tim Beck* #1
14–11 (56%)
· Yr 3 at school
OC
Tim Beck*
Yr 1
#1
DC
Craig Naivar
Yr 3
#1
Louisiana Tech
Sonny Cumbie #1
11–25 (31%)
· Yr 4 at school
OC
Tony Franklin
Yr 1
#1
DC
Jeremiah Johnson
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 ✓

