Sat, Sep 16 2023
·
Week 3
·
🏟 Jerry Richardson Stadium
Charlotte, NC
·
Turf
·
15,314 cap
Georgia State✈ 234 miSame TZ
Matchup Prediction
Georgia State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Georgia State entering this game.
Momentum Control
73.7%
Georgia State wins
Solid
Game Control
75.9%
Georgia State wins
Solid
Vegas Spread
Georgia State -6.5
O/U 52.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Georgia State
· 73.9% ATS historically
↓ See full breakdown
Georgia State 2023 Schedule
Georgia State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Georgia State vs Rhode Island | -18.0W42–35 | 61.5 | W42–35 | O | N |
| Sat 9/9 | Georgia State vs UConn | -3.0W35–14 | 54.5 | W35–14 | U | Y |
| Sat 9/16 | Georgia State at Charlotte | -6.5W41–25 | 52.0 | W41–25 | O | Y |
| Thu 9/21 | Georgia State at Coastal Carolina | +4.5W30–17 | 62.5 | W30–17 | U | Y |
| Sat 9/30 | Georgia State vs Troy | -1.0L7–28 | 50.5 | L7–28 | U | N |
| — Bye Week — | ||||||
| Sat 10/14 | Georgia State vs Marshall | -2.0W41–24 | 53.5 | W41–24 | O | Y |
| Sat 10/21 | Georgia State at Louisiana | +3.0W20–17 | 62.0 | W20–17 | U | Y |
| Thu 10/26 | Georgia State at Georgia Southern | -1.0L27–44 | 63.0 | L27–44 | O | N |
| Sat 11/4 | Georgia State vs James Madison | +6.0L14–42 | 53.0 | L14–42 | O | N |
| Sat 11/11 | Georgia State vs App State | -2.5L14–42 | 62.5 | L14–42 | U | N |
| Sat 11/18 | Georgia State at LSU | +32.5L14–56 | 73.5 | L14–56 | U | N |
| Sat 11/25 | Georgia State at Old Dominion | +2.0L24–25 | 49.5 | L24–25 | U | Y |
| Sat 12/23 | Georgia State vs Utah State | +2.0W45–22 | 58.0 | W45–22 | O | Y |
Charlotte 2023 Schedule
Charlotte's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Charlotte vs South Carolina State | -24.0W24–3 | 44.5 | W24–3 | U | N |
| Sat 9/9 | Charlotte at Maryland | +24.5L20–38 | 50.0 | L20–38 | O | Y |
| Sat 9/16 | Charlotte vs Georgia State | +6.5L25–41 | 52.0 | L25–41 | O | N |
| Sat 9/23 | Charlotte at Florida | +28.0L7–22 | 48.5 | L7–22 | U | Y |
| Sat 9/30 | Charlotte at SMU | +22.5L16–34 | 53.0 | L16–34 | U | Y |
| — Bye Week — | ||||||
| Sat 10/14 | Charlotte vs Navy | +3.5L0–14 | 44.0 | L0–14 | U | N |
| Sat 10/21 | Charlotte at East Carolina | +6.0W10–7 | 39.5 | W10–7 | U | Y |
| Fri 10/27 | Charlotte vs Florida Atlantic | +3.5L16–38 | 45.5 | L16–38 | O | N |
| Sat 11/4 | Charlotte at Tulsa | +4.5W33–26 | 47.5 | W33–26 | O | Y |
| Sat 11/11 | Charlotte vs Memphis | +9.5L38–44 | 51.5 | L38–44 | O | Y |
| Sat 11/18 | Charlotte vs Rice | -0.5L7–28 | 46.5 | L7–28 | U | N |
| Sat 11/25 | Charlotte at South Florida | +7.5L14–48 | 56.5 | L14–48 | O | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Georgia 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?
Georgia State Edge
Georgia State +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia State Edge
Georgia State +24.6
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
Georgia State
1 — 4 sequences
✓ Predicted correctly
GC Battle
Georgia State
6.6 — 86.6 GC score
✓ Predicted correctly
Game Result
Georgia State won by 16
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Georgia 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
Georgia State
Shawn Elliott #1
37–38 (49%)
· Yr 7 at school
OC
Trent McKnight
Yr 2
#1
DC
Chad Staggs
Yr 1
#1
Charlotte
Biff Poggi #1
1–2 (33%)
· Yr 1 at school
OC
Mike Miller
Yr 1
#1
DC
Ryan Osborn
Yr 1
#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 ✓