Marshall at App State Week 13 College Football Matchup Marshall at App State Matchup - Week 13
Sat, Nov 22 2025 · Week 13 · 🏟 Kidd Brewer Stadium Boone, NC · Turf · 24,050 cap
Marshall✈ 158 miSame TZ
Away
24 26
Final
Home
📊 Punt & Rally Projection
Marshall
30
App State
28
P&R Line Marshall -1.5
P&R Total O/U 58
Confidence 86 High
Vegas Marshall -3.5 · O/U 57.5
Matchup Prediction
Marshall has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Marshall entering this game.
Momentum Control
61.3%
Marshall wins
Lean
Game Control
49.4%
Marshall wins
Toss-up
Vegas Spread
Marshall -3.5
O/U 57.5
ESPN Bet
Advanced Stats
PPA + Success Rate agree → Marshall · 73.9% ATS historically
↓ See full breakdown
🚌 Marshall 2nd straight Road Game
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
App State 2025 Schedule
App State's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 8/29App State vs Charlotte-8.5W34–1153.5W34–11UY
Sat 9/6App State vs Lindenwood-31.5W20–1356.0W20–13UN
Sat 9/13App State at Southern Miss-3.0L22–3855.5L22–38ON
— Bye Week —
Sat 9/27App State at Boise State+16.5L14–4759.5L14–47ON
Sat 10/4App State vs Oregon State-1.5W27–2353.5W27–23UY
Sat 10/11App State at Georgia State-3.0W41–2055.5W41–20OY
Sat 10/18App State vs Coastal Carolina-10.5L37–4548.5L37–45ON
Sat 10/25App State at Old Dominion+12.5L21–2460.5L21–24UY
— Bye Week —
Thu 11/6App State vs Georgia Southern-4.5L23–2562.5L23–25UN
Sat 11/15App State at James Madison+21.0L10–5853.5L10–58ON
Sat 11/22App State vs Marshall+3.5W26–2457.5W26–24UY
Sat 11/29App State vs Arkansas State-1.0L29–3054.5L29–30ON
Mon 12/29App State vs Georgia Southern+10.0L10–2958.5L10–29UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Marshall 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
→ Marshall
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Marshall #56
+0.370
App State #101
+0.272
Marshall Edge
PPA Passing
Pass efficiency edge · Strong predictor
Marshall #28
+0.685
App State #90
+0.544
Marshall Edge
Havoc Total
Def. disruption rate · Strong predictor
Marshall #67
0.157
App State #52
0.165
TFLs, sacks, PBUs, forced fumbles — higher is better
App State Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Marshall #52
+8.137
App State #91
+7.121
Marshall Edge
Success Rate
Play consistency edge · Solid predictor
Marshall #37
+0.903
App State #72
+0.808
Marshall Edge
Field Position
Avg start (lower=better) · Solid predictor
Marshall #12
67.8
App State #104
72.0
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
Marshall Rated Higher
Overall Power Rating
Marshall
-3.1
App State
-9.7
Offense Rating
Marshall
13.9
App State
9.0
Defense Rating (lower = better defense)
Marshall
17.0
App State
18.7
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
1.00
App State #88
0.78
Avg sequences allowed per game (lower is better)
Marshall #90
1.22
App State #111
1.56
Marshall +0.22
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? Marshall Edge
Avg GC score per game (offense)
Marshall #1
45.6
App State #1
43.7
Avg GC score allowed per game (lower is better)
Marshall #70
35.5
App State #99
47.8
Marshall +1.9
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 10 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Marshall
32.1 — 36.8 GC score
✓ Predicted correctly
Game Result
App State won by 2
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Marshall, 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
App State
Dowell Loggains #1
0–0 (0%) · Yr 1 at school
OC Vacant Yr 1 #1
DC D. J. Smith Yr 1 #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: CSS is not a predictive 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: GS is not a predictive 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