Delaware at Virginia Week 4 College Football Matchup Delaware at Virginia Matchup - Week 4
Sat, Sep 26 2026 · Week 4 · 🏟 Scott Stadium Charlottesville, VA · Turf · 61,500 cap
Delaware✈ 186 miSame TZ
Away
VS
Home
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available. Edges are based on 2025 full-season performance. Confidence will increase once in-season games are logged.
📊 Punt & Rally Projection
Delaware
20
Virginia
36
P&R Line Virginia -16
P&R Total O/U 55
Confidence 69 Good
Matchup Prediction
Virginia has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Virginia entering this game.
Momentum Control
58.4%
Virginia wins
Lean
Game Control
67.1%
Virginia wins
Solid
Advanced Stats
All 4 factors agree → Virginia · 83.1% ATS historically when all four align
↓ See full breakdown
🛋 Delaware Coming off BYE
Delaware 2026 Schedule
Delaware's 2026 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/3Delaware vs Merrimack-16.5
Sat 9/12Delaware at Vanderbilt+16.5
— Bye Week —
Sat 9/26Delaware at Virginia+16
Virginia 2026 Schedule
Virginia's 2026 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/29Virginia vs NC State-3.554.5
Sat 9/12Virginia vs Norfolk State-29
Sat 9/19Virginia at West Virginia-7
Sat 9/26Virginia vs Delaware-16
Sat 10/3Virginia at Florida State+3
Sat 10/10Virginia vs Syracuse-16.5
Sat 10/17Virginia at SMU+10.5
Fri 10/23Virginia vs Duke-3.5
Sat 10/31Virginia at Wake Forest+1
— Bye Week —
Sat 11/14Virginia vs California-5
Sat 11/21Virginia vs North Carolina-12.5
Sat 11/28Virginia at Virginia Tech-6
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season (prior year)
Virginia PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Virginia
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Virginia
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Virginia
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Delaware #59
+0.248
Virginia #64
+0.404
Virginia Edge
PPA Passing
Pass efficiency edge · Strong predictor
Delaware #61
+0.417
Virginia #76
+0.526
Virginia Edge
Havoc Total
Def. disruption rate · Strong predictor
Delaware #65
0.158
Virginia #23
0.181
TFLs, sacks, PBUs, forced fumbles — higher is better
Virginia Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Delaware #89
+6.532
Virginia #82
+7.600
Virginia Edge
Success Rate
Play consistency edge · Solid predictor
Delaware #51
+0.811
Virginia #82
+0.837
Virginia Edge
Field Position
Avg start (lower=better) · Solid predictor
Delaware #68
71.0
Virginia #30
69.3
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Virginia Edge
Advanced stats sourced from CFBD · 2025 season (prior year — 2026 data not yet available) · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Virginia Rated Higher
Overall Power Rating
Delaware #90
-2.9
Virginia #32
7.0
Offense Rating
Delaware #94
13.7
Virginia #44
17.9
Defense Rating (lower = better defense)
Delaware #84
16.6
Virginia #30
10.9
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Virginia Edge
Avg sequences created per game
Delaware #84
1.00
Virginia #29
1.31
Avg sequences allowed per game (lower is better)
Delaware #116
1.50
Virginia #9
0.39
Virginia +0.31
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Virginia Edge
Avg GC score per game (offense)
Delaware #67
42.0
Virginia #17
55.9
Avg GC score allowed per game (lower is better)
Delaware #82
42.4
Virginia #18
24.9
Virginia +13.8
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Delaware
Ryan Carty #106
33–17 (67%) · Yr 5 at school
OC Terence Archer Yr 3 #65
DC Manny Rojas Yr 3 #117
Staff Rating
2.24 #110
Virginia
Tony Elliott #120
22–26 (46%) · Yr 5 at school
OC Des Kitchings Yr 3 #61
DC John Rudzinski Yr 3 #63
Staff Rating
2.33 #101
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