Idaho at Utah Week 1 College Football Matchup Idaho at Utah Matchup - Week 1
Thu, Sep 3 2026 · Week 1 · 🏟 Rice-Eccles Stadium Salt Lake City, UT · Turf · 45,807 cap
Idaho✈ 486 mi+1 hr 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
Idaho
19
Utah
31
P&R Line Utah -12
P&R Total O/U 50.5
Confidence 55 Early Season
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
76%
Utah wins
Strong
Idaho 2026 Schedule
Idaho's 2026 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/3Idaho at Utah+12
Utah 2026 Schedule
Utah's 2026 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/3Utah vs Idaho-30
Sat 9/12Utah vs Arkansas-10.5
Sat 9/19Utah vs Utah State-20
Sat 9/26Utah at Iowa State-5
— Bye Week —
Sat 10/10Utah vs Kansas-10.5
Sat 10/17Utah at Colorado-6.5
Sat 10/24Utah vs Houston-4
Sat 10/31Utah at Cincinnati-5.5
Sat 11/7Utah vs BYU+3
Sat 11/14Utah at Arizona+3
Sat 11/21Utah at TCU+0.5
Sat 11/28Utah vs West Virginia-11
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Idaho Edge
Avg sequences created per game
Idaho
0.00
Utah #6
1.92
Avg sequences allowed per game (lower is better)
Idaho
0.00
Utah #24
0.50
Idaho +0.00
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? Utah Edge
Avg GC score per game (offense)
Idaho #88
27.9
Utah #7
65.6
Avg GC score allowed per game (lower is better)
Idaho #89
44.9
Utah #9
21.3
Utah +37.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2025 full season · preseason estimate
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