#110 Seattle U

Seattle, WA - West Coast
2025-2026 Schedule
Date Opponent Score
Nov 3 vs DenverW 84 - 73
Nov 8 vs Cal PolyL 73 - 71
Nov 12 vs Eastern WashingtonW 94 - 67
Nov 15 vs Idaho StW 83 - 74
Nov 21 @ StanfordW 77 - 69
Nov 28 (N) Texas StW 66 - 52
Nov 29 (N) California Santa BarbaraL 74 - 71
Dec 7 vs Texas El PasoW 75 - 68
Dec 17 @ California DavisW 79 - 78
Dec 19 vs WashingtonW 70 - 66
Dec 22 @ Texas San AntonioW 71 - 68
Dec 28 vs San FranciscoL 67 - 59
Dec 30 vs Washington StateW 69 - 55
Jan 2 @ #22 GonzagaL 80 - 72 (OT)
Jan 4 @ #19 Saint Mary'sL 93 - 76
Jan 8 @ Oregon StateL 68 - 55
Jan 15 vs San DiegoW 75 - 64
Jan 17 vs #22 GonzagaL 71 - 50
Jan 21 vs Loyola MarymountW 69 - 59
Jan 24 @ PacificL 56 - 54
Jan 28 @ Washington StateL 70 - 58
Feb 4 vs PepperdineW 83 - 81
Feb 7 @ PortlandL 54 - 53
Feb 11 @ Santa ClaraL 84 - 72
Feb 15 vs Oregon StateW 60 - 50
Feb 18 vs #19 Saint Mary'sL 72 - 70
Feb 21 vs PortlandW 71 - 59
Feb 25 @ PepperdineW 87 - 80
Feb 28 @ Loyola MarymountW 71 - 66
Mar 6 (N) San DiegoW 58 - 56
Mar 7 (N) PacificL 61 - 58
Mar 17 vs St. Thomas MinnesotaW 67 - 52
Mar 22 @ AuburnL 91 - 85
Note: Game results highlighted in green indicate that the team exceeded expectations, even if it was a loss. Games highlighted in red indicate that the team failed to meet expectations, even if it was a win.
Stats
Overall
Record19-14
vs Conference9-11
vs Top 500-5
Adj. Predicted Win %0.623 [110]
Adj. Efficiency Δ4.7 [123]
Strength of schedule130th
Adj. Pace68.3 [161]
Avg. Margin1.9 [127]
Consistency10th
3-point %33.7 [186]
3-point Ratio39.4 [186]
Free Throw %70.6 [251]
OffenseDefense
Adjusted Efficiency103.3 [265]98.6 [33]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%50.6 [219]0.88 [32]
Offensive Turnover %16.3 [178]-0.3 [251]
Offensive Rebound %23.4 [348]-0.03 [355]
Free Throw Rate32.8 [237]0.06 [293]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%47.8 [40]0.74 [309]
Defensive Turnover %20.2 [22]-0.54 [72]
Defensive Rebound %70.8 [146]-0.4 [114]
Opponent Free Throw Rate35.9 [217]0.17 [182]

Note: Kalman filter settling time is responsible for some of the early season variance.