Marshall at App State Week 4 College Football Matchup Marshall at App State Matchup - Week 4
Thu, Sep 23 2021 · Week 4 · 🏟 Kidd Brewer Stadium Boone, NC · Turf · 24,050 cap
Marshall✈ 158 miSame TZ
Away
30 31
Final
Home
📊 Punt & Rally Projection
Marshall
27
MRSH +7
App State
32
P&R Line App State -5
P&R Total O/U 58
Confidence 90 High
Vegas Appalachian State -7 · O/U 59.0
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
75.9%
Marshall wins
Solid
Vegas Spread
Appalachian State -7
O/U 59.0
teamrankings
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 2021 Schedule
Marshall's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4Marshall at Navy-3.5W49–746.5W49–7OY
Sat 9/11Marshall vs North Carolina Central-42.5W44–1053.5W44–10ON
Sat 9/18Marshall vs East Carolina-11.0L38–4258.5L38–42ON
Thu 9/23Marshall at App State+7.0L30–3159.0L30–31OY
Sat 10/2Marshall at Middle Tennessee-11.0L28–3466.0L28–34UN
Sat 10/9Marshall vs Old Dominion-21.5W20–1362.0W20–13UN
Fri 10/15Marshall at North Texas-11.0W49–2166.5W49–21OY
— Bye Week —
Sat 10/30Marshall vs Florida International-21.5W38–064.0W38–0UY
Sat 11/6Marshall at Florida Atlantic-1.0W28–1358.0W28–13UY
Sat 11/13Marshall vs UAB-4.5L14–2155.5L14–21UN
Sat 11/20Marshall at Charlotte-14.0W49–2862.0W49–28OY
Sat 11/27Marshall vs Western Kentucky+1.0L21–5375.5L21–53UN
Sat 12/18Marshall vs Louisiana+4.0L21–3655.5L21–36ON
App State 2021 Schedule
App State's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/2App State vs East Carolina-9.0W33–1955.5W33–19UY
Sat 9/11App State at Miami+7.5L23–2555.0L23–25UY
Sat 9/18App State vs Elon-35.5W44–1052.5W44–10ON
Thu 9/23App State vs Marshall-7.0W31–3059.0W31–30ON
Sat 10/2App State at Georgia State-10.5W45–1654.5W45–16OY
— Bye Week —
Tue 10/12App State at Louisiana-4.5L13–4157.5L13–41UN
Wed 10/20App State vs Coastal Carolina+4.5W30–2761.0W30–27UY
Sat 10/30App State vs UL Monroe-26.5W59–2857.5W59–28OY
Sat 11/6App State at Arkansas State-21.5W48–1467.5W48–14UY
Sat 11/13App State vs South Alabama-21.5W31–751.5W31–7UY
Sat 11/20App State at Troy-10.0W45–751.0W45–7OY
Sat 11/27App State vs Georgia Southern-24.5W27–355.0W27–3UN
Sat 12/4App State at Louisiana-2.5L16–2452.5L16–24UN
Sat 12/18App State vs Western Kentucky-3.0L38–5967.0L38–59ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 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
+0.337
App State
+0.441
App State Edge
PPA Passing
Pass efficiency edge · Strong predictor
Marshall
+0.386
App State
+0.597
App State Edge
Havoc Total
Def. disruption rate · Strong predictor
Marshall
0.167
App State
0.207
TFLs, sacks, PBUs, forced fumbles — higher is better
App State Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Marshall
+7.462
App State
+7.624
App State Edge
Success Rate
Play consistency edge · Solid predictor
Marshall
+0.843
App State
+0.861
App State Edge
Field Position
Avg start (lower=better) · Solid predictor
Marshall
70.4
App State
69.3
Avg yards from own endzone to average start — lower is better · longer bar = better field position
App State Edge
Advanced stats sourced from CFBD · 2021 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?
Avg sequences created per game
Marshall #29
1.50
App State #56
1.50
Avg sequences allowed per game (lower is better)
Marshall #111
0.50
App State #59
0.50
Marshall +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2 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
90.8
App State #1
66.7
Avg GC score allowed per game (lower is better)
Marshall #34
5.2
App State #38
22.9
Marshall +24.1
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Marshall
1 — 3 sequences
GC Battle
App State
43.1 — 33.1 GC score
✗ Predicted incorrectly
Game Result
App State won by 1
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
2–1 (67%) · Yr 1 at school
OC Tim Cramsey Yr 1 #1
DC Lance Guidry Yr 1 #1
Staff Rating
0.00 #1
App State
Shawn Clark #1
12–4 (75%) · Yr 2 at school
OC Frank Ponce Yr 1 #1
DC Dale Jones 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