Sat, Oct 12 2024
·
Week 7
·
🏟 Canvas Stadium
Fort Collins, CO
·
Turf
·
41,000 cap
San José State✈ 927 mi+1 hr TZ
Matchup Prediction
San José State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
San José State entering this game.
Momentum Control
61.3%
San José State wins
Lean
Game Control
49.4%
San José State wins
Toss-up
Vegas Spread
Colorado State -2.5
O/U 55.5
DraftKings
Advanced Stats
All 4 factors agree → San José State
· 83.1% ATS historically when all four align
↓ See full breakdown
San José State 2024 Schedule
San José State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | San José State vs Sacramento State | -2.5W42–24 | 62.5 | W42–24 | O | Y |
| Sat 9/7 | San José State at Air Force | +1.5W17–7 | 43.5 | W17–7 | U | Y |
| Sat 9/14 | San José State vs Kennesaw State | -16.5W31–10 | 41.5 | W31–10 | U | Y |
| Fri 9/20 | San José State at Washington State | +13.0L52–54 | 55.5 | L52–54 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | San José State vs Nevada | -7.0W35–31 | 51.5 | W35–31 | O | N |
| Sat 10/12 | San José State at Colorado State | +2.5L24–31 | 55.5 | L24–31 | U | N |
| Sat 10/19 | San José State vs Wyoming | -13.0W24–14 | 53.0 | W24–14 | U | N |
| Sat 10/26 | San José State at Fresno State | +6.5L10–33 | 55.0 | L10–33 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | San José State at Oregon State | +3.0W24–13 | 58.5 | W24–13 | U | Y |
| Sat 11/16 | San José State vs Boise State | +14.5L21–42 | 62.0 | L21–42 | O | N |
| Fri 11/22 | San José State vs UNLV | +7.5L16–27 | 59.5 | L16–27 | U | N |
| Fri 11/29 | San José State vs Stanford | -2.5W34–31 | 54.5 | W34–31 | O | Y |
| Tue 12/24 | San José State vs South Florida | +1.5L39–41 | 66.5 | L39–41 | O | N |
Colorado State 2024 Schedule
Colorado State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Colorado State at Texas | +35.5L0–52 | 59.0 | L0–52 | U | N |
| Sat 9/7 | Colorado State vs Northern Colorado | -31.0W38–17 | 52.5 | W38–17 | O | N |
| Sat 9/14 | Colorado State vs Colorado | +7.5L9–28 | 58.5 | L9–28 | U | N |
| Sat 9/21 | Colorado State vs UTEP | -8.5W27–17 | 49.0 | W27–17 | U | Y |
| — Bye Week — | ||||||
| Sat 10/5 | Colorado State at Oregon State | +10.0L31–39 | 47.0 | L31–39 | O | Y |
| Sat 10/12 | Colorado State vs San José State | -2.5W31–24 | 55.5 | W31–24 | U | Y |
| Sat 10/19 | Colorado State at Air Force | -6.0W21–13 | 43.5 | W21–13 | U | Y |
| Sat 10/26 | Colorado State vs New Mexico | -3.5W17–6 | 62.0 | W17–6 | U | Y |
| Sat 11/2 | Colorado State at Nevada | -2.0W38–21 | 45.5 | W38–21 | O | Y |
| — Bye Week — | ||||||
| Fri 11/15 | Colorado State vs Wyoming | -8.5W24–10 | 47.5 | W24–10 | U | Y |
| Sat 11/23 | Colorado State at Fresno State | +3.5L22–28 | 43.5 | L22–28 | O | N |
| Fri 11/29 | Colorado State vs Utah State | -5.5W42–37 | 56.5 | W42–37 | O | N |
| Sat 12/28 | Colorado State vs Miami (OH) | +1.0L17–43 | 42.5 | L17–43 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ San José State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ San José State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ San José State
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 · 2024 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?
San José State Edge
San José State +0.50
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
San José State Edge
San José State +3.5
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 5 games this season
Actual Result
CSS Battle
Colorado State
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Colorado State
61.2 — 14.2 GC score
✗ Predicted incorrectly
Game Result
Colorado State won by 7
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on San José State, 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
San José State
Ken Niumatalolo #1
0–0 (0%)
· Yr 1 at school
OC
Craig Stutzmann
Yr 1
#1
DC
Derrick Odum
Yr 3
#1
Colorado State
Jay Norvell #1
8–16 (33%)
· Yr 3 at school
OC
Matt Mumme
Yr 3
#1
DC
Freddie 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 ✓