#121 Wright St

Dayton, OH - Horizon
2025-2026 Schedule
Date Opponent Score
Nov 6 @ CaliforniaL 77 - 67
Nov 11 vs ToledoL 81 - 71
Nov 15 (N) RadfordW 92 - 59
Nov 16 (N) Kent StL 76 - 72 (OT)
Nov 25 @ StetsonW 79 - 62
Nov 28 @ ButlerL 94 - 69
Dec 3 @ Youngstown StL 69 - 68
Dec 7 vs Green BayW 86 - 58
Dec 13 @ MarshallL 76 - 74
Dec 16 vs Miami (OH)L 83 - 76
Dec 22 vs Eastern MichiganW 70 - 64
Dec 29 vs OaklandW 88 - 73
Jan 1 vs MilwaukeeW 76 - 70
Jan 4 @ IU IndianapolisW 81 - 77
Jan 9 @ Detroit MercyW 84 - 82
Jan 11 @ OaklandW 94 - 84
Jan 15 vs Youngstown StW 93 - 83
Jan 21 vs Cleveland StL 85 - 79
Jan 24 vs Northern KentuckyW 88 - 80
Jan 30 @ MilwaukeeW 76 - 69
Feb 1 @ Green BayW 83 - 75
Feb 4 @ Robert MorrisL 72 - 66
Feb 7 vs Purdue Fort WayneW 73 - 68
Feb 12 vs Detroit MercyL 77 - 74
Feb 15 @ Cleveland StW 102 - 90
Feb 19 vs IU IndianapolisW 85 - 73
Feb 22 vs Robert MorrisL 81 - 68
Feb 25 @ Purdue Fort WayneW 74 - 70
Feb 28 @ Northern KentuckyW 92 - 91
Mar 4 vs Cleveland StW 90 - 61
Mar 9 (N) Northern KentuckyW 103 - 90
Mar 10 (N) Detroit MercyW 66 - 63
Mar 20 (N) #13 VirginiaL 82 - 73
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
Record21-12
vs Conference18-5
vs Top 500-1
Adj. Predicted Win %0.592 [121]
Adj. Efficiency Δ4 [127]
Strength of schedule242nd
Adj. Pace68.5 [153]
Avg. Margin4.2 [84]
Consistency52nd
3-point %36.4 [44]
3-point Ratio34 [295]
Free Throw %74.7 [94]
OffenseDefense
Adjusted Efficiency112 [106]108 [183]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%53.3 [112]0.73 [318]
Offensive Turnover %15.5 [117]-0.13 [337]
Offensive Rebound %32.1 [115]0.56 [22]
Free Throw Rate37.6 [125]0.28 [90]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%52.2 [219]0.83 [141]
Defensive Turnover %16.7 [149]-0.3 [276]
Defensive Rebound %71.3 [129]-0.21 [272]
Opponent Free Throw Rate30.9 [83]0.04 [309]

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