Sat, Nov 23 2024
·
Week 13
·
🏟 Brooks Stadium
Conway, SC
·
Turf
·
9,214 cap
Georgia Southern✈ 186 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Georgia Southern,
while Game Control favors Coastal Carolina.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Georgia Southern wins
Lean
Game Control
58.6%
Coastal Carolina wins
Lean
Vegas Spread
Coastal Carolina -2
O/U 59.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Georgia Southern 2024 Schedule
Georgia Southern's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Georgia Southern vs Boise State | +13.0L45–56 | 57.5 | L45–56 | O | Y |
| Sat 9/7 | Georgia Southern at Nevada | +1.5W20–17 | 56.5 | W20–17 | U | Y |
| Sat 9/14 | Georgia Southern vs South Carolina State | -27.5W42–14 | 52.5 | W42–14 | O | Y |
| Sat 9/21 | Georgia Southern at Ole Miss | +35.0L13–52 | 68.5 | L13–52 | U | N |
| Sat 9/28 | Georgia Southern at Georgia State | +3.5W38–21 | 57.5 | W38–21 | O | Y |
| — Bye Week — | ||||||
| Sat 10/12 | Georgia Southern vs Marshall | -1.0W24–23 | 58.5 | W24–23 | U | N |
| Sat 10/19 | Georgia Southern vs James Madison | +9.5W28–14 | 58.5 | W28–14 | U | Y |
| Thu 10/24 | Georgia Southern at Old Dominion | -1.0L19–47 | 52.0 | L19–47 | O | N |
| Sat 11/2 | Georgia Southern at South Alabama | +5.5W34–30 | 60.0 | W34–30 | O | Y |
| — Bye Week — | ||||||
| Sat 11/16 | Georgia Southern vs Troy | -7.0L20–28 | 54.0 | L20–28 | U | N |
| Sat 11/23 | Georgia Southern at Coastal Carolina | +2.0W26–6 | 59.5 | W26–6 | U | Y |
| Sat 11/30 | Georgia Southern vs App State | -2.5W29–20 | 60.5 | W29–20 | U | Y |
| Thu 12/19 | Georgia Southern vs Sam Houston | -3.5L26–31 | 48.0 | L26–31 | O | N |
Coastal Carolina 2024 Schedule
Coastal Carolina's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Coastal Carolina at Jacksonville State | +3.5W55–27 | 54.5 | W55–27 | O | Y |
| Sat 9/7 | Coastal Carolina vs William & Mary | -17.5W40–21 | 0.0 | W40–21 | O | Y |
| Sat 9/14 | Coastal Carolina at Temple | -17.5W28–20 | 51.5 | W28–20 | U | N |
| Sat 9/21 | Coastal Carolina vs Virginia | +3.5L24–43 | 52.0 | L24–43 | O | N |
| — Bye Week — | ||||||
| Sat 10/5 | Coastal Carolina vs Old Dominion | -4.0W45–37 | 51.5 | W45–37 | O | Y |
| Thu 10/10 | Coastal Carolina at James Madison | +7.0L7–39 | 59.0 | L7–39 | U | N |
| Sat 10/19 | Coastal Carolina vs Louisiana | +6.0L24–34 | 57.0 | L24–34 | O | N |
| — Bye Week — | ||||||
| Sat 11/2 | Coastal Carolina at Troy | -4.0L24–38 | 52.0 | L24–38 | O | N |
| Thu 11/7 | Coastal Carolina vs App State | +1.5W38–24 | 62.5 | W38–24 | U | Y |
| Sat 11/16 | Coastal Carolina at Marshall | +7.5L19–31 | 57.0 | L19–31 | U | N |
| Sat 11/23 | Coastal Carolina vs Georgia Southern | -2.0L6–26 | 59.5 | L6–26 | U | N |
| Sat 11/30 | Coastal Carolina at Georgia State | +0.5W48–27 | 52.5 | W48–27 | O | Y |
| Mon 12/23 | Coastal Carolina at UTSA | +12.5L15–44 | 56.5 | L15–44 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 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 · 2024 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?
Georgia Southern Edge
Georgia Southern +0.45
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Coastal Carolina Edge
Coastal Carolina +7.0
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 10 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Georgia Southern
Clay Helton #1
12–14 (46%)
· Yr 3 at school
OC
Ryan Aplin
Yr 1
#1
DC
Brandon Bailey
Yr 2
#1
Coastal Carolina
Tim Beck* #1
8–5 (62%)
· Yr 2 at school
OC
Travis Trickett
Yr 2
#1
DC
Craig Naivar
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 ✓