#55 Texas A&M

College Station, TX - SEC
2025-2026 Schedule
Date Opponent Score
Nov 3 vs Northwestern StW 98 - 68
Nov 6 vs Texas SouthernW 104 - 70
Nov 9 @ Oklahoma StL 87 - 63
Nov 14 vs Central FloridaL 86 - 74
Nov 18 vs MontanaW 86 - 81
Nov 21 vs ManhattanW 109 - 68
Nov 25 vs Mississippi Valley StW 120 - 84
Nov 28 (N) Florida StW 95 - 59
Dec 2 @ PittsburghW 81 - 73
Dec 7 (N) Southern MethodistL 93 - 80 (OT)
Dec 14 vs JacksonvilleW 112 - 75
Dec 21 vs East Texas A&MW 118 - 77
Dec 29 vs Prairie View A&MW 111 - 82
Jan 3 vs LSUW 75 - 72
Jan 6 @ AuburnW 90 - 88
Jan 10 vs OklahomaW 83 - 76
Jan 13 @ #20 TennesseeL 87 - 82 (2 OT)
Jan 17 @ TexasW 74 - 70
Jan 21 vs Mississippi StW 88 - 68
Jan 24 vs South CarolinaW 92 - 69
Jan 31 @ GeorgiaW 92 - 77
Feb 4 @ #10 AlabamaL 100 - 97
Feb 7 vs #6 FloridaL 86 - 67
Feb 11 vs MissouriL 86 - 85
Feb 14 @ #15 VanderbiltL 82 - 69
Feb 18 vs MississippiW 80 - 77
Feb 21 @ OklahomaW 75 - 71
Feb 25 @ #19 ArkansasL 99 - 84
Feb 28 vs TexasL 76 - 70
Mar 3 vs KentuckyW 96 - 85
Mar 7 @ LSUW 94 - 91 (3 OT)
Mar 12 (N) OklahomaL 83 - 63
Mar 19 (N) #18 Saint Mary'sW 63 - 50
Mar 21 (N) #4 HoustonL 88 - 57
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
Record22-12
vs Conference11-8
vs Top 506-9
Adj. Predicted Win %0.761 [55]
Adj. Efficiency Δ18.6 [42]
Strength of schedule58th
Adj. Pace70.4 [62]
Avg. Margin7.1 [46]
Consistency343rd
3-point %35.9 [62]
3-point Ratio46.3 [40]
Free Throw %73.8 [143]
OffenseDefense
Adjusted Efficiency119.1 [44]100.5 [51]
Adjusted Four Factors - Offense
ValueCorrelation
Effective FG%55.1 [64]0.9 [15]
Offensive Turnover %14.7 [77]-0.3 [253]
Offensive Rebound %31.2 [142]0.21 [272]
Free Throw Rate38.2 [103]0.11 [244]
Adjusted Four Factors - Defense
ValueCorrelation
Opponent Effective FG%48.4 [59]0.43 [365]
Defensive Turnover %18.7 [50]-0.69 [8]
Defensive Rebound %70.2 [177]-0.38 [125]
Opponent Free Throw Rate33.2 [145]0.09 [254]

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