Charlotte at Maryland Week 2 College Football Matchup Charlotte at Maryland Matchup - Week 2
Sat, Sep 9 2023 · Week 2 · 🏟 Maryland Stadium College Park, MD · Turf · 51,802 cap
Charlotte✈ 328 miSame TZ
20 38
Final
Home
📊 Punt & Rally Projection
Charlotte
11
Maryland
39
P&R Line Maryland -28
P&R Total O/U 49.5
Confidence 86 High
Vegas Maryland -24.5 · O/U 50.0
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
Lean
Game Control
76%
Maryland wins
Strong
Vegas Spread
Maryland -24.5
O/U 50.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Maryland · 73.9% ATS historically
↓ See full breakdown
🏠 Maryland 2nd straight Home Game
Charlotte 2023 Schedule
Charlotte's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Charlotte vs South Carolina State-24.0W24–344.5W24–3UN
Sat 9/9Charlotte at Maryland+24.5L20–3850.0L20–38OY
Sat 9/16Charlotte vs Georgia State+6.5L25–4152.0L25–41ON
Sat 9/23Charlotte at Florida+28.0L7–2248.5L7–22UY
Sat 9/30Charlotte at SMU+22.5L16–3453.0L16–34UY
— Bye Week —
Sat 10/14Charlotte vs Navy+3.5L0–1444.0L0–14UN
Sat 10/21Charlotte at East Carolina+6.0W10–739.5W10–7UY
Fri 10/27Charlotte vs Florida Atlantic+3.5L16–3845.5L16–38ON
Sat 11/4Charlotte at Tulsa+4.5W33–2647.5W33–26OY
Sat 11/11Charlotte vs Memphis+9.5L38–4451.5L38–44OY
Sat 11/18Charlotte vs Rice-0.5L7–2846.5L7–28UN
Sat 11/25Charlotte at South Florida+7.5L14–4856.5L14–48ON
Maryland 2023 Schedule
Maryland's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Maryland vs Towson-38.5W38–655.5W38–6UN
Sat 9/9Maryland vs Charlotte-24.5W38–2050.0W38–20ON
Fri 9/15Maryland vs Virginia-16.5W42–1448.5W42–14OY
Sat 9/23Maryland at Michigan State-7.0W31–952.5W31–9UY
Sat 9/30Maryland vs Indiana-14.5W44–1750.0W44–17OY
Sat 10/7Maryland at Ohio State+17.0L17–3756.5L17–37UN
Sat 10/14Maryland vs Illinois-13.5L24–2752.0L24–27UN
— Bye Week —
Sat 10/28Maryland at Northwestern-14.0L27–3348.5L27–33ON
Sat 11/4Maryland vs Penn State+8.5L15–5150.5L15–51ON
Sat 11/11Maryland at Nebraska-1.5W13–1041.5W13–10UY
Sat 11/18Maryland vs Michigan+17.5L24–3150.5L24–31OY
Sat 11/25Maryland at Rutgers-2.0W42–2445.5W42–24OY
Sat 12/30Maryland vs Auburn+4.0W31–1347.5W31–13UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
Maryland PPA Edge
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
→ Maryland
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Charlotte #126
+0.160
Maryland #43
+0.402
Maryland Edge
PPA Passing
Pass efficiency edge · Strong predictor
Charlotte #133
+0.210
Maryland #56
+0.591
Maryland Edge
Havoc Total
Def. disruption rate · Strong predictor
Charlotte #100
0.148
Maryland #109
0.145
TFLs, sacks, PBUs, forced fumbles — higher is better
Charlotte Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Charlotte #127
+6.462
Maryland #43
+8.151
Maryland Edge
Success Rate
Play consistency edge · Solid predictor
Charlotte #131
+0.753
Maryland #45
+0.846
Maryland Edge
Field Position
Avg start (lower=better) · Solid predictor
Charlotte #90
71.2
Maryland #29
69.1
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Maryland Edge
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
Maryland Rated Higher
Overall Power Rating
Charlotte
-17.8
Maryland
4.5
Offense Rating
Charlotte
9.3
Maryland
17.5
Defense Rating (lower = better defense)
Charlotte
27.2
Maryland
13.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Charlotte Edge
Avg sequences created per game
Charlotte #73
0.00
Maryland #62
0.00
Avg sequences allowed per game (lower is better)
Charlotte #120
0.00
Maryland #85
0.00
Charlotte +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Maryland Edge
Avg GC score per game (offense)
Charlotte #1
55.9
Maryland #1
93.4
Avg GC score allowed per game (lower is better)
Charlotte #125
21.2
Maryland #50
3.4
Maryland +37.5
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Maryland
4 — 0 sequences
✗ Predicted incorrectly
GC Battle
Charlotte
39.4 — 47.7 GC score
✗ Predicted incorrectly
Game Result
Maryland won by 18
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Maryland 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
Charlotte
Biff Poggi #1
1–2 (33%) · Yr 1 at school
OC Mike Miller Yr 1 #1
DC Ryan Osborn Yr 1 #1
Staff Rating
0.00 #1
Maryland
Mike Locksley #1
24–28 (46%) · Yr 5 at school
OC Josh Gattis Yr 1 #1
DC Brian Williams Yr 3 #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