Syracuse at Virginia Tech Week 8 College Football Matchup Syracuse at Virginia Tech Matchup - Week 8
Sat, Oct 23 2021 · Week 8 · 🏟 Lane Stadium Blacksburg, VA · Turf · 66,233 cap
Syracuse✈ 461 miSame TZ
Away
41 36
Final
📊 Punt & Rally Projection
Syracuse
22
Virginia Tech
27
P&R Line Virginia Tech -4.5
P&R Total O/U 48.5
Confidence 90 High
Vegas Virginia Tech -3.5 · O/U 45.5
Matchup Prediction
Virginia Tech has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Virginia Tech entering this game.
Momentum Control
58.4%
Virginia Tech wins
Lean
Game Control
58.6%
Virginia Tech wins
Lean
Vegas Spread
Virginia Tech -3.5
O/U 45.5
teamrankings
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → Syracuse · 82.4% ATS historically
↓ See full breakdown
🏠 Virginia Tech 4th straight Home Game
Syracuse 2021 Schedule
Syracuse's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4Syracuse at Ohio+2.0W29–955.5W29–9UY
Sat 9/11Syracuse vs Rutgers+2.5L7–1750.5L7–17UN
Sat 9/18Syracuse vs UAlbany-21.5W62–2441.0W62–24OY
Fri 9/24Syracuse vs Liberty+6.5W24–2154.0W24–21UY
Sat 10/2Syracuse at Florida State+5.5L30–3350.0L30–33OY
Sat 10/9Syracuse vs Wake Forest+5.5L37–4059.0L37–40OY
Fri 10/15Syracuse vs Clemson+12.5L14–1744.0L14–17UY
Sat 10/23Syracuse at Virginia Tech+3.5W41–3645.5W41–36OY
Sat 10/30Syracuse vs Boston College-6.5W21–651.5W21–6UY
— Bye Week —
Sat 11/13Syracuse at Louisville+3.0L3–4155.5L3–41UN
Sat 11/20Syracuse at NC State+11.0L17–4149.5L17–41ON
Sat 11/27Syracuse vs Pittsburgh+12.0L14–3158.5L14–31UN
Virginia Tech 2021 Schedule
Virginia Tech's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 9/3Virginia Tech vs North Carolina+5.5W17–1063.5W17–10UY
Sat 9/11Virginia Tech vs Middle Tennessee-20.0W35–1455.0W35–14UY
Sat 9/18Virginia Tech at West Virginia+2.0L21–2749.5L21–27UN
Sat 9/25Virginia Tech vs Richmond-29.0W21–1050.0W21–10UN
— Bye Week —
Sat 10/9Virginia Tech vs Notre Dame-1.0L29–3246.5L29–32ON
Sat 10/16Virginia Tech vs Pittsburgh+6.0L7–2855.5L7–28UN
Sat 10/23Virginia Tech vs Syracuse-3.5L36–4145.5L36–41ON
Sat 10/30Virginia Tech at Georgia Tech+3.0W26–1755.0W26–17UY
Fri 11/5Virginia Tech at Boston College-1.0L3–1751.0L3–17UN
Sat 11/13Virginia Tech vs Duke-13.5W48–1750.5W48–17OY
Sat 11/20Virginia Tech at Miami+7.0L26–3855.5L26–38ON
Sat 11/27Virginia Tech at Virginia+7.0W29–2463.5W29–24UY
Wed 12/29Virginia Tech vs Maryland+4.0L10–5455.0L10–54ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 season
Syracuse 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
3 Agree
→ Syracuse
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Syracuse
+0.442
Virginia Tech
+0.345
Syracuse Edge
PPA Passing
Pass efficiency edge · Strong predictor
Syracuse
+0.418
Virginia Tech
+0.533
Virginia Tech Edge
Havoc Total
Def. disruption rate · Strong predictor
Syracuse
0.187
Virginia Tech
0.174
TFLs, sacks, PBUs, forced fumbles — higher is better
Syracuse Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Syracuse
+7.605
Virginia Tech
+7.523
Syracuse Edge
Success Rate
Play consistency edge · Solid predictor
Syracuse
+0.827
Virginia Tech
+0.838
Virginia Tech Edge
Field Position
Avg start (lower=better) · Solid predictor
Syracuse
73.6
Virginia Tech
71.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Virginia Tech 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
Virginia Tech Rated Higher
Overall Power Rating
Syracuse
-2.2
Virginia Tech
5.9
Offense Rating
Syracuse
16.0
Virginia Tech
18.3
Defense Rating (lower = better defense)
Syracuse
18.2
Virginia Tech
12.4
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Virginia Tech Edge
Avg sequences created per game
Syracuse #108
0.67
Virginia Tech #111
0.80
Avg sequences allowed per game (lower is better)
Syracuse #30
0.33
Virginia Tech #66
1.00
Virginia Tech +0.13
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Virginia Tech Edge
Avg GC score per game (offense)
Syracuse #1
42.5
Virginia Tech #1
53.8
Avg GC score allowed per game (lower is better)
Syracuse #90
39.3
Virginia Tech #75
36.3
Virginia Tech +11.2
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Virginia Tech
62.7 — 16.9 GC score
✓ Predicted correctly
Game Result
Syracuse won by 5
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Virginia Tech. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.

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

Coaching Matchup
Syracuse
Dino Babers #1
26–37 (41%) · Yr 6 at school
OC Sterlin Gilbert Yr 1 #1
DC Tony White Yr 1 #1
Staff Rating
0.00 #1
Virginia Tech
Justin Fuente #1
40–27 (60%) · Yr 6 at school
OC Brad Cornelsen Yr 1 #1
DC Justin Hamilton 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