Matchup Prediction
Syracuse
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Syracuse entering this game.
Momentum Control
71.6%
Syracuse wins
Solid
Game Control
58.6%
Syracuse wins
Lean
Vegas Spread
Clemson -7
O/U 52.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Clemson
· 73.9% ATS historically
↓ See full breakdown
Clemson 2023 Schedule
Clemson's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/4 | Clemson at Duke | -12.5L7–28 | 54.0 | L7–28 | U | N |
| Sat 9/9 | Clemson vs Charleston Southern | -50.5W66–17 | 53.0 | W66–17 | O | N |
| Sat 9/16 | Clemson vs Florida Atlantic | -25.0W48–14 | 51.5 | W48–14 | O | Y |
| Sat 9/23 | Clemson vs Florida State | +2.0L24–31 | 55.5 | L24–31 | U | N |
| Sat 9/30 | Clemson at Syracuse | -7.0W31–14 | 52.0 | W31–14 | U | Y |
| Sat 10/7 | Clemson vs Wake Forest | -21.0W17–12 | 53.5 | W17–12 | U | N |
| — Bye Week — | ||||||
| Sat 10/21 | Clemson at Miami | -3.0L20–28 | 48.5 | L20–28 | U | N |
| Sat 10/28 | Clemson at NC State | -9.5L17–24 | 44.5 | L17–24 | U | N |
| Sat 11/4 | Clemson vs Notre Dame | +3.0W31–23 | 44.5 | W31–23 | O | Y |
| Sat 11/11 | Clemson vs Georgia Tech | -17.5W42–21 | 55.5 | W42–21 | O | Y |
| Sat 11/18 | Clemson vs North Carolina | -7.5W31–20 | 58.0 | W31–20 | U | Y |
| Sat 11/25 | Clemson at South Carolina | -7.5W16–7 | 48.0 | W16–7 | U | Y |
| Fri 12/29 | Clemson vs Kentucky | -3.5W38–35 | 44.5 | W38–35 | O | N |
Syracuse 2023 Schedule
Syracuse's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Syracuse vs Colgate | -40.0W65–0 | 49.5 | W65–0 | O | Y |
| Sat 9/9 | Syracuse vs Western Michigan | -24.5W48–7 | 56.5 | W48–7 | U | Y |
| Sat 9/16 | Syracuse at Purdue | -1.0W35–20 | 56.5 | W35–20 | U | Y |
| Sat 9/23 | Syracuse vs Army | -13.0W29–16 | 50.5 | W29–16 | U | N |
| Sat 9/30 | Syracuse vs Clemson | +7.0L14–31 | 52.0 | L14–31 | U | N |
| Sat 10/7 | Syracuse at North Carolina | +9.5L7–40 | 59.0 | L7–40 | U | N |
| Sat 10/14 | Syracuse at Florida State | +18.5L3–41 | 53.5 | L3–41 | U | N |
| — Bye Week — | ||||||
| Thu 10/26 | Syracuse at Virginia Tech | +2.5L10–38 | 47.5 | L10–38 | O | N |
| Fri 11/3 | Syracuse vs Boston College | -3.0L10–17 | 51.0 | L10–17 | U | N |
| Sat 11/11 | Syracuse vs Pittsburgh | +4.5W28–13 | 37.5 | W28–13 | O | Y |
| Sat 11/18 | Syracuse at Georgia Tech | +6.5L22–31 | 51.5 | L22–31 | O | N |
| Sat 11/25 | Syracuse vs Wake Forest | -3.0W35–31 | 43.5 | W35–31 | O | Y |
| Thu 12/21 | Syracuse vs South Florida | -3.0L0–45 | 56.0 | L0–45 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
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
→ Clemson
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
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
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Syracuse Edge
Syracuse +1.67
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Syracuse Edge
Syracuse +9.4
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 4 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Syracuse. 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
Clemson
Dabo Swinney #1
163–40 (80%)
· Yr 15 at school
OC
Garrett Riley
Yr 1
#1
DC
Mickey Conn
Yr 2
#1
Syracuse
Dino Babers #1
39–49 (44%)
· Yr 8 at school
OC
Jason Beck
Yr 1
#1
DC
Rocky Long
Yr 1
#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 ✓
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 ✓