Mon, Sep 1 2025
·
Week 1
·
🏟 Kenan Memorial Stadium
Chapel Hill, NC
·
Turf
·
62,980 cap
TCU✈ 1,067 mi+1 hr TZ
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
50.6%
—
Toss-up
Vegas Spread
TCU -3
O/U 59.5
DraftKings
Advanced Stats
All 4 factors agree → TCU
· 83.1% ATS historically when all four align
↓ See full breakdown
TCU 2025 Schedule
TCU's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/1 | TCU at North Carolina | -3.0W48–14 | 59.5 | W48–14 | O | Y |
| — Bye Week — | ||||||
| Sat 9/13 | TCU vs Abilene Christian | -42.5W42–21 | 60.5 | W42–21 | O | N |
| Sat 9/20 | TCU vs SMU | -6.5W35–24 | 63.5 | W35–24 | U | Y |
| Fri 9/26 | TCU at Arizona State | +2.5L24–27 | 54.5 | L24–27 | U | N |
| Sat 10/4 | TCU vs Colorado | -13.5W35–21 | 57.5 | W35–21 | U | Y |
| Sat 10/11 | TCU at Kansas State | -3.0L28–41 | 54.5 | L28–41 | O | N |
| Sat 10/18 | TCU vs Baylor | -3.5W42–36 | 66.5 | W42–36 | O | Y |
| Sat 10/25 | TCU at West Virginia | -16.5W23–17 | 55.5 | W23–17 | U | N |
| — Bye Week — | ||||||
| Sat 11/8 | TCU vs Iowa State | -7.5L17–20 | 58.5 | L17–20 | U | N |
| Sat 11/15 | TCU at BYU | +3.0L13–44 | 51.5 | L13–44 | O | N |
| Sat 11/22 | TCU at Houston | -1.5W17–14 | 55.5 | W17–14 | U | Y |
| Sat 11/29 | TCU vs Cincinnati | -3.0W45–23 | 58.5 | W45–23 | O | Y |
| Tue 12/30 | TCU vs USC | +4.5W30–27 | 56.5 | W30–27 | O | Y |
North Carolina 2025 Schedule
North Carolina's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/1 | North Carolina vs TCU | +3.0L14–48 | 59.5 | L14–48 | O | N |
| Sat 9/6 | North Carolina at Charlotte | -16.5W20–3 | 49.5 | W20–3 | U | Y |
| Sat 9/13 | North Carolina vs Richmond | -24.5W41–6 | 47.5 | W41–6 | U | Y |
| Sat 9/20 | North Carolina at UCF | +7.0L9–34 | 46.5 | L9–34 | U | N |
| — Bye Week — | ||||||
| Sat 10/4 | North Carolina vs Clemson | +15.5L10–38 | 47.5 | L10–38 | O | N |
| — Bye Week — | ||||||
| Fri 10/17 | North Carolina at California | +7.5L18–21 | 45.5 | L18–21 | U | Y |
| Sat 10/25 | North Carolina vs Virginia | +12.5L16–17 | 51.5 | L16–17 | U | Y |
| Fri 10/31 | North Carolina at Syracuse | +1.5W27–10 | 45.5 | W27–10 | U | Y |
| Sat 11/8 | North Carolina vs Stanford | -8.5W20–15 | 41.5 | W20–15 | U | N |
| Sat 11/15 | North Carolina at Wake Forest | +3.5L12–28 | 37.5 | L12–28 | O | N |
| Sat 11/22 | North Carolina vs Duke | +6.5L25–32 | 50.5 | L25–32 | O | N |
| Sat 11/29 | North Carolina at NC State | +7.0L19–42 | 48.5 | L19–42 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ TCU
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ TCU
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ TCU
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 · 2025 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?
TCU Edge
TCU +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
TCU Edge
TCU +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on North Carolina, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
TCU
Sonny Dykes #1
26–13 (67%)
· Yr 4 at school
OC
Kendal Briles
Yr 3
#1
DC
Andy Avalos
Yr 2
#1
North Carolina
Bill Belichick #1
0–0 (0%)
· Yr 1 at school
OC
Freddie Kitchens
Yr 1
#1
DC
Stephen Belichick
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: 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 ✓
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 ✓