Matchup Prediction
Tennessee
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Tennessee entering this game.
Momentum Control
58.4%
Tennessee wins
Lean
Game Control
76%
Tennessee wins
Strong
Vegas Spread
Tennessee -24
O/U 59.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Tennessee
· 73.9% ATS historically
↓ See full breakdown
UTSA 2023 Schedule
UTSA's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | UTSA at Houston | -2.5L14–17 | 59.5 | L14–17 | U | N |
| Sat 9/9 | UTSA vs Texas State | -13.5W20–13 | 66.5 | W20–13 | U | N |
| Fri 9/15 | UTSA vs Army | -7.0L29–37 | 42.0 | L29–37 | O | N |
| Sat 9/23 | UTSA at Tennessee | +24.0L14–45 | 59.0 | L14–45 | U | N |
| — Bye Week — | ||||||
| Sat 10/7 | UTSA at Temple | -14.0W49–34 | 56.0 | W49–34 | O | Y |
| Sat 10/14 | UTSA vs UAB | -9.0W41–20 | 67.0 | W41–20 | U | Y |
| Sat 10/21 | UTSA at Florida Atlantic | -2.5W36–10 | 58.5 | W36–10 | U | Y |
| Sat 10/28 | UTSA vs East Carolina | -17.5W41–27 | 48.0 | W41–27 | O | N |
| Sat 11/4 | UTSA at North Texas | -7.5W37–29 | 71.0 | W37–29 | U | Y |
| Sat 11/11 | UTSA vs Rice | -13.5W34–14 | 53.5 | W34–14 | U | Y |
| Fri 11/17 | UTSA vs South Florida | -14.5W49–21 | 65.5 | W49–21 | O | Y |
| Fri 11/24 | UTSA at Tulane | +2.5L16–29 | 51.5 | L16–29 | U | N |
| Tue 12/19 | UTSA vs Marshall | -7.0W35–17 | 47.0 | W35–17 | O | Y |
Tennessee 2023 Schedule
Tennessee's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Tennessee vs Virginia | -27.5W49–13 | 56.0 | W49–13 | O | Y |
| Sat 9/9 | Tennessee vs Austin Peay | -48.0W30–13 | 65.5 | W30–13 | U | N |
| Sat 9/16 | Tennessee at Florida | -5.0L16–29 | 57.0 | L16–29 | U | N |
| Sat 9/23 | Tennessee vs UTSA | -24.0W45–14 | 59.0 | W45–14 | U | Y |
| Sat 9/30 | Tennessee vs South Carolina | -12.0W41–20 | 59.0 | W41–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/14 | Tennessee vs Texas A&M | -3.0W20–13 | 54.5 | W20–13 | U | Y |
| Sat 10/21 | Tennessee at Alabama | +8.5L20–34 | 47.5 | L20–34 | O | N |
| Sat 10/28 | Tennessee at Kentucky | -4.0W33–27 | 50.5 | W33–27 | O | Y |
| Sat 11/4 | Tennessee vs UConn | -35.0W59–3 | 55.5 | W59–3 | O | Y |
| Sat 11/11 | Tennessee at Missouri | -1.0L7–36 | 58.5 | L7–36 | U | N |
| Sat 11/18 | Tennessee vs Georgia | +9.0L10–38 | 59.0 | L10–38 | U | N |
| Sat 11/25 | Tennessee vs Vanderbilt | -27.0W48–24 | 58.0 | W48–24 | O | N |
| Mon 1/1 | Tennessee vs Iowa | -4.5W35–0 | 37.0 | W35–0 | U | Y |
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
→ Tennessee
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?
Tennessee Edge
Tennessee +0.67
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?
Tennessee Edge
Tennessee +28.2
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Tennessee
3 — 1 sequences
✓ Predicted correctly
GC Battle
Tennessee
93.6 — 5.6 GC score
✓ Predicted correctly
Game Result
Tennessee won by 31
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Tennessee with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
UTSA
Jeff Traylor #1
31–12 (72%)
· Yr 4 at school
OC
Justin Burke
Yr 1
#1
DC
Jess Loepp
Yr 2
#1
Tennessee
Josh Heupel #1
20–9 (69%)
· Yr 3 at school
OC
Joey Halzle
Yr 1
#1
DC
Tim Banks
Yr 3
#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 ✓