Matchup Prediction
Florida
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Florida entering this game.
Momentum Control
71.6%
Florida wins
Solid
Game Control
67.1%
Florida wins
Solid
Vegas Spread
Florida -28
O/U 48.5
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → Florida
· 83.1% ATS historically when all four align
↓ See full breakdown
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 |
Florida 2023 Schedule
Florida's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Florida at Utah | +5.5L11–24 | 44.5 | L11–24 | U | N |
| Sat 9/9 | Florida vs McNeese | -48.5W49–7 | 55.5 | W49–7 | O | N |
| Sat 9/16 | Florida vs Tennessee | +5.0W29–16 | 57.0 | W29–16 | U | Y |
| Sat 9/23 | Florida vs Charlotte | -28.0W22–7 | 48.5 | W22–7 | U | N |
| Sat 9/30 | Florida at Kentucky | +1.0L14–33 | 44.0 | L14–33 | O | N |
| Sat 10/7 | Florida vs Vanderbilt | -18.0W38–14 | 51.0 | W38–14 | O | Y |
| Sat 10/14 | Florida at South Carolina | -1.0W41–39 | 50.0 | W41–39 | O | Y |
| — Bye Week — | ||||||
| Sat 10/28 | Florida vs Georgia | +14.0L20–43 | 50.0 | L20–43 | O | N |
| Sat 11/4 | Florida vs Arkansas | -4.5L36–39 | 50.0 | L36–39 | O | N |
| Sat 11/11 | Florida at LSU | +14.0L35–52 | 68.5 | L35–52 | O | N |
| Sat 11/18 | Florida at Missouri | +12.5L31–33 | 56.5 | L31–33 | O | Y |
| Sat 11/25 | Florida vs Florida State | +6.0L15–24 | 51.0 | L15–24 | 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
→ Florida
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Florida
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Florida
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?
Florida Edge
Florida +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Florida Edge
Florida +17.3
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Florida
3 — 0 sequences
✓ Predicted correctly
GC Battle
Florida
87.0 — 7.3 GC score
✓ Predicted correctly
Game Result
Florida won by 15
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Florida with a moderate edge in both. This is the strongest ATS signal in our backtest: teams in this situation have covered 55.8% of the time (n=113).
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Charlotte
Biff Poggi #1
1–2 (33%)
· Yr 1 at school
OC
Mike Miller
Yr 1
#1
DC
Ryan Osborn
Yr 1
#1
Florida
Billy Napier #1
8–8 (50%)
· Yr 2 at school
OC
Rob Sale
Yr 2
#1
DC
Austin Armstrong
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 ✓