Marshall at Georgia Week 1 College Football Matchup Marshall at Georgia Matchup - Week 1
Sat, Aug 30 2025 · Week 1 · 🏟 Sanford Stadium Athens, GA · Turf · 92,746 cap
Marshall✈ 313 miSame TZ
Away
7 45
Final
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📊 Punt & Rally Projection
Marshall
12
MRSH +39.5
Georgia
43
P&R Line Georgia -31
P&R Total O/U 55.5
Confidence 86 High
Vegas Georgia -39.5 · O/U 55.5
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
50.6%
Toss-up
Vegas Spread
Georgia -39.5
O/U 55.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Georgia · 73.9% ATS historically
↓ See full breakdown
Marshall 2025 Schedule
Marshall's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Marshall at Georgia+39.5L7–4555.5L7–45UY
Sat 9/6Marshall vs Missouri State-7.0L20–2153.5L20–21UN
Sat 9/13Marshall vs Eastern Kentucky-14.5W38–749.5W38–7UY
Sat 9/20Marshall at Middle Tennessee-2.5W42–2846.5W42–28OY
Sat 9/27Marshall at Louisiana-2.5L51–5447.5L51–54ON
— Bye Week —
Sat 10/11Marshall vs Old Dominion+14.5W48–2457.5W48–24OY
Sat 10/18Marshall vs Texas State+3.0W40–3765.5W40–37OY
— Bye Week —
Thu 10/30Marshall at Coastal Carolina-7.5L27–4455.5L27–44ON
Sat 11/8Marshall vs James Madison+13.5L23–3553.5L23–35OY
Sat 11/15Marshall at Georgia State-9.5W30–1859.5W30–18UY
Sat 11/22Marshall at App State-3.5L24–2657.5L24–26UN
Sat 11/29Marshall vs Georgia Southern-10.5L19–2461.5L19–24UN
Georgia 2025 Schedule
Georgia's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Georgia vs Marshall-39.5W45–755.5W45–7UN
Sat 9/6Georgia vs Austin Peay-47.0W28–655.5W28–6UN
Sat 9/13Georgia at Tennessee-3.5W44–4150.5W44–41ON
— Bye Week —
Sat 9/27Georgia vs Alabama-2.5L21–2453.5L21–24UN
Sat 10/4Georgia vs Kentucky-19.5W35–1448.5W35–14OY
Sat 10/11Georgia at Auburn-4.5W20–1045.5W20–10UY
Sat 10/18Georgia vs Ole Miss-7.5W43–3556.5W43–35OY
— Bye Week —
Sat 11/1Georgia vs Florida-7.0W24–2050.5W24–20UN
Sat 11/8Georgia at Mississippi State-9.5W41–2156.5W41–21OY
Sat 11/15Georgia vs Texas-3.5W35–1050.5W35–10UY
Sat 11/22Georgia vs Charlotte-42.5W35–353.5W35–3UN
Fri 11/28Georgia vs Georgia Tech-15.5W16–959.5W16–9UN
Sat 12/6Georgia vs Alabama-2.5W28–747.5W28–7UY
Thu 1/1Georgia vs Ole Miss-6.0L34–3953.5L34–39ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Georgia 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
→ Georgia
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Marshall #56
+0.285
Georgia #23
+0.417
Georgia Edge
PPA Passing
Pass efficiency edge · Strong predictor
Marshall #28
+0.609
Georgia #34
+0.697
Georgia Edge
Havoc Total
Def. disruption rate · Strong predictor
Marshall #67
0.157
Georgia #80
0.151
TFLs, sacks, PBUs, forced fumbles — higher is better
Marshall Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Marshall #52
+7.566
Georgia #7
+8.412
Georgia Edge
Success Rate
Play consistency edge · Solid predictor
Marshall #37
+0.842
Georgia #14
+0.867
Georgia Edge
Field Position
Avg start (lower=better) · Solid predictor
Marshall #12
67.8
Georgia #62
70.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Marshall Edge
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
Georgia Rated Higher
Overall Power Rating
Marshall
-3.0
Georgia
28.6
Offense Rating
Marshall
13.9
Georgia
30.0
Defense Rating (lower = better defense)
Marshall
16.9
Georgia
0.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Marshall Edge
Avg sequences created per game
Marshall #93
0.00
Georgia #14
0.00
Avg sequences allowed per game (lower is better)
Marshall #90
0.00
Georgia #26
0.00
Marshall +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? Marshall Edge
Avg GC score per game (offense)
Marshall #1
0.0
Georgia #1
0.0
Avg GC score allowed per game (lower is better)
Marshall #70
0.0
Georgia #16
0.0
Marshall +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Georgia
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
Georgia
93.5 — 2.9 GC score
✗ Predicted incorrectly
Game Result
Georgia won by 38
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Georgia, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Marshall
Tony Gibson #1
0–0 (0%) · Yr 1 at school
OC Rod Smith Yr 1 #1
DC Shannon Morrison Yr 1 #1
Staff Rating
0.00 #1
Georgia
Kirby Smart #1
105–18 (85%) · Yr 10 at school
OC Mike Bobo Yr 3 #1
DC Glenn Schumann Yr 2 #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