Model Predictions
| Model | Seattle U Redhawks | Cal Poly Mustangs | Spread | Projected |
|---|---|---|---|---|
| Elo
Preseason estimate, 2026-27 prior
|
56.9% (#259) | 43.1% (#350) | Seattle... -7.9 | 70-62 |
| Bradley-Terry
Preseason estimate, 2026-27 prior
|
68.2% (#263) | 31.8% (#359) | - | - |
| Margin
Preseason estimate, 2026-27 prior
|
86.0% (#202) | 14.0% (#355) | Seattle... -10.0 | - |
| Pythagorean
Preseason estimate, 2026-27 prior
|
83.4% (#184) | 16.6% (#324) | - | - |
| Adjusted Efficiency
Preseason estimate, 2026-27 prior
|
67.4% (#203) | 32.6% (#341) | - | - |
| Log Adjusted
Preseason estimate, 2026-27 prior
|
67.8% (#204) | 32.2% (#341) | - | - |
| Points Off/Def
Preseason estimate, 2026-27 prior
|
73.4% (#221) | 26.6% (#357) | - | - |
Preseason estimate, 2026-27 prior: each team's 2026-27 Elo start (its stored preseason prior, else last season's rating carried over), the rating the season's rankings use. Spread: 5.2 points per 100 Elo plus a 2.4-point home edge (2025-26 margin fit); projected score: 2025-26's average total of 131 split by the spread. No neutral-site adjustment.
Team Stats Comparison
| Stat | Seattle U Redhawks | Cal Poly Mustangs |
|---|---|---|
| Games | 2 | 2 |
| PPG | 71.5 | 70.0 |
| FG% | 40.7% | 43.3% |
| 3PT% | 39.5% | 27.5% |
| FT% | 48.6% | 65.5% |
| RPG | 45.5 | 41.5 |
| APG | 15.5 | 12.0 |
| SPG | 10.5 | 14.0 |
| BPG | 3.5 | 2.0 |
| TOPG | 16.5 | 10.5 |
Efficiency Ratings
| Metric | Seattle U Redhawks | Cal Poly Mustangs |
|---|---|---|
| Adj. Off Eff | 104.8 | - |
| Adj. Def Eff | 95.2 | - |
| Adj. Net Eff | 9.7 | - |
Efficiency = points per 100 possessions, adjusted for opponent strength
Seattle U Redhawks Top Players
No player data available
Cal Poly Mustangs Top Players
No player data available