Marshall at App State Week 10 College Football Matchup Marshall at App State Matchup - Week 10
Sat, Nov 4 2023 · Week 10 · 🏟 Kidd Brewer Stadium Boone, NC · Turf · 24,050 cap
Marshall✈ 158 miSame TZ
Away
9 31
Final
Home
📊 Punt & Rally Projection
Marshall
23
APP -3
App State
34
P&R Line App State -11
P&R Total O/U 57.5
Confidence 90 High
Vegas Appalachian State -3.0 · O/U 57.5
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Marshall, while Game Control favors App State. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Marshall wins
Lean
Game Control
58.6%
App State wins
Lean
Vegas Spread
Appalachian State -3.0
O/U 57.5
Bovada
Advanced Stats
All 4 factors agree → App State · 83.1% ATS historically when all four align
↓ See full breakdown
🏠 App State 2nd straight Home Game 🚌 Marshall 2nd straight Road Game
Marshall 2023 Schedule
Marshall's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Marshall vs UAlbany-22.0W21–1747.5W21–17UN
Sat 9/9Marshall at East Carolina-3.0W31–1343.5W31–13OY
— Bye Week —
Sat 9/23Marshall vs Virginia Tech-5.5W24–1741.5W24–17UY
Sat 9/30Marshall vs Old Dominion-14.5W41–3547.0W41–35ON
Sat 10/7Marshall at NC State+6.5L41–4844.0L41–48ON
Sat 10/14Marshall at Georgia State+2.0L24–4153.5L24–41ON
Thu 10/19Marshall vs James Madison+5.0L9–2049.0L9–20UN
Sat 10/28Marshall at Coastal Carolina-3.5L6–3447.0L6–34UN
Sat 11/4Marshall at App State+3.0L9–3157.5L9–31UN
Sat 11/11Marshall vs Georgia Southern+1.5W38–3356.5W38–33OY
Sat 11/18Marshall at South Alabama+10.5L0–2844.5L0–28UN
Sat 11/25Marshall vs Arkansas State-2.0W35–2154.0W35–21OY
Tue 12/19Marshall vs UTSA+7.0L17–3547.0L17–35ON
App State 2023 Schedule
App State's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2App State vs Gardner-Webb-22.5W45–2451.0W45–24ON
Sat 9/9App State at North Carolina+18.0L34–4058.0L34–40OY
Sat 9/16App State vs East Carolina-7.5W43–2848.5W43–28OY
Sat 9/23App State at Wyoming+3.0L19–2245.0L19–22UY
Sat 9/30App State at UL Monroe-13.5W41–4050.5W41–40ON
— Bye Week —
Tue 10/10App State vs Coastal Carolina-4.5L24–2759.0L24–27UN
Sat 10/21App State at Old Dominion-6.0L21–2856.0L21–28UN
Sat 10/28App State vs Southern Miss-16.0W48–3855.5W48–38ON
Sat 11/4App State vs Marshall-3.0W31–957.5W31–9UY
Sat 11/11App State at Georgia State+2.5W42–1462.5W42–14UY
Sat 11/18App State at James Madison+10.0W26–2356.5W26–23UY
Sat 11/25App State vs Georgia Southern-7.5W55–2762.5W55–27OY
Sat 12/2App State at Troy+6.5L23–4951.5L23–49ON
Sat 12/16App State vs Miami (OH)-6.5W13–941.0W13–9UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
App State PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ App State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ App State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ App State
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Marshall #101
+0.328
App State #41
+0.375
App State Edge
PPA Passing
Pass efficiency edge · Strong predictor
Marshall #97
+0.392
App State #19
+0.641
App State Edge
Havoc Total
Def. disruption rate · Strong predictor
Marshall #27
0.182
App State #26
0.182
TFLs, sacks, PBUs, forced fumbles — higher is better
Even
Points Per Opp
Drive-finishing edge · Strong predictor
Marshall #128
+5.848
App State #77
+6.949
App State Edge
Success Rate
Play consistency edge · Solid predictor
Marshall #108
+0.813
App State #28
+0.835
App State Edge
Field Position
Avg start (lower=better) · Solid predictor
Marshall #105
71.9
App State #72
70.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
App State 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
Marshall Rated Higher
Overall Power Rating
Marshall
-3.0
App State
-9.7
Offense Rating
Marshall
13.9
App State
9.0
Defense Rating (lower = better defense)
Marshall
16.9
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 #71
1.00
App State #61
0.71
Avg sequences allowed per game (lower is better)
Marshall #73
1.57
App State #15
0.86
Marshall +0.29
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? App State Edge
Avg GC score per game (offense)
Marshall #1
28.1
App State #1
34.3
Avg GC score allowed per game (lower is better)
Marshall #109
51.0
App State #35
36.8
App State +6.2
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 8 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.

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

Coaching Matchup
Marshall
Charles Huff #1
18–10 (64%) · Yr 3 at school
OC Clint Trickett Yr 2 #1
DC Jason Semore Yr 1 #1
Staff Rating
0.00 #1
App State
Shawn Clark #1
28–14 (67%) · Yr 4 at school
OC Frank Ponce Yr 2 #1
DC Scott Sloan 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: 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