Sat, Nov 28 2026
·
Week 13
·
🏟 Spartan Stadium
San Jose, CA
·
Turf
·
30,456 cap
North Dakota State✈ 1,436 mi-2 hr TZ
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.
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%
San José State wins
Strong
North Dakota State 2026 Schedule
North Dakota State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/29 | North Dakota State vs Jacksonville State | -7.5 | — | — | — | — |
| Sat 9/5 | North Dakota State vs Fordham | -23 | — | — | — | — |
| Sat 9/12 | North Dakota State at Air Force | -1 | — | — | — | — |
| Sat 9/19 | North Dakota State at Sacramento State | -14.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/3 | North Dakota State vs Wyoming | -12.5 | — | — | — | — |
| Sat 10/10 | North Dakota State at UNLV | +5 | — | — | — | — |
| Sat 10/17 | North Dakota State vs Nevada | -19 | — | — | — | — |
| Sat 10/24 | North Dakota State at New Mexico | +3 | — | — | — | — |
| Sat 10/31 | North Dakota State vs UTEP | -20.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 11/14 | North Dakota State at Hawai'i | -0 | — | — | — | — |
| Sat 11/21 | North Dakota State vs Northern Illinois | -20 | — | — | — | — |
| Sat 11/28 | North Dakota State at San José State | -15 | — | — | — | — |
San José State 2026 Schedule
San José State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/29 | San José State at USC | +31.5 | — | — | — | — |
| Fri 9/4 | San José State at Eastern Michigan | +8.5 | — | — | — | — |
| Sat 9/12 | San José State vs Cal Poly | -6 | — | — | — | — |
| Sat 9/19 | San José State vs Fresno State | +15 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/3 | San José State at Hawai'i | +17 | — | — | — | — |
| Sat 10/10 | San José State vs Wyoming | +5 | — | — | — | — |
| Sat 10/17 | San José State at UTEP | +1.5 | — | — | — | — |
| Sat 10/24 | San José State at Nevada | +3 | — | — | — | — |
| Sat 10/31 | San José State vs New Mexico | +15.5 | — | — | — | — |
| Sat 11/7 | San José State vs Northern Illinois | -3 | — | — | — | — |
| Sat 11/14 | San José State at Air Force | +16.5 | — | — | — | — |
| Sat 11/21 | San José State vs UNLV | +17.5 | — | — | — | — |
| Sat 11/28 | San José State vs North Dakota State | +15 | — | — | — | — |
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?
North Dakota State Edge
North Dakota State +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?
San José State Edge
San José State +34.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
North Dakota State
Tim Polasek #14
26–3 (90%)
· Yr 3 at school
OC
Dan Larson
Yr 2
#15
DC
Grant Olson
Yr 3
#31
San José State
Ken Niumatalolo #54
10–15 (40%)
· Yr 3 at school
OC
Craig Stutzmann
Yr 3
#136
DC
Bojay Filimoeatu
Yr 1
#68
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 ✓