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Texas Longhorns

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Texas Longhorns
Program History

2018 Team Stats (25 games)

80.6
PPG
61.2
Opp
+19.4
Margin
47.7%
FG%
34.1%
3P%
72.3%
FT%
43.4
RPG
16.8
APG
15.0
TO
-
Est. poss./game
84.3
Adj PPG
54.9
Adj Opp PPG
#7
Scoring Rank

Model Outputs

2017-2018
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1552 (#9) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1391 (#9) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More → 1163 (#22) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +31.4 (#7) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More → +30.9 (#7) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.934 (#9) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +44.4 More → 0.994 (#7) AdjNet +44.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +45.4 More → 0.995 (#7) AdjNet +45.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 84.3 | AdjD 54.9 More → 0.935 (#7) AdjO 84.3 | AdjD 54.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.4 | AdjD 58.1 More → 0.874 (#7) AdjO 79.4 | AdjD 58.1
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.954 (#7) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.947 (#7) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 35 More → 1376 (#9) RD 100 | GP 35

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-12 vs Stetson Hatters W 95 - 59
2017-11-15 vs McNeese Cowgirls W 100 - 34
2017-11-17 vs UTSA Roadrunners W 120 - 70
2017-11-24 @ LSU Tigers W 75 - 66
2017-11-25 vs Washington Huskies W 92 - 68
2017-11-30 vs Louisiana Tech Lady Techsters W 88 - 54
2017-12-03 @ Georgia Lady Bulldogs W 81 - 53
2017-12-10 @ Tennessee Lady Volunteers L 75 - 82
2017-12-13 vs Northwestern State Lady Demons W 68 - 44
2017-12-17 vs Florida State Seminoles W 87 - 72
2017-12-28 @ Oklahoma Sooners W 88 - 78
2017-12-31 vs West Virginia Mountaineers W 79 - 58
2018-01-03 vs Oklahoma State Cowgirls W 84 - 79
2018-01-07 @ Kansas State Wildcats W 75 - 64
2018-01-10 @ TCU Horned Frogs L 77 - 79
2018-01-13 vs Kansas Jayhawks W 79 - 62
2018-01-15 vs UConn Huskies L 71 - 75
2018-01-20 @ Texas Tech Lady Raiders W 90 - 39
2018-01-25 @ Baylor Bears L 56 - 81
2018-01-27 vs Iowa State Cyclones W 87 - 55
2018-01-31 @ Kansas Jayhawks W 55 - 41
2018-02-03 vs TCU Horned Frogs W 92 - 65
2018-02-05 @ West Virginia Mountaineers W 73 - 55
2018-02-10 vs Kansas State Wildcats W 76 - 54
2018-02-14 vs Texas Tech Lady Raiders W 87 - 72
2018-02-17 @ Oklahoma State Cowgirls W 77 - 62
2018-02-19 vs Baylor Bears L 87 - 93
2018-02-24 @ Iowa State Cyclones W 72 - 59
2018-02-27 vs Oklahoma Sooners W 79 - 66
2018-03-03 vs Iowa State Cyclones W 81 - 69
2018-03-04 vs West Virginia Mountaineers W 68 - 55
2018-03-05 @ Baylor Bears L 69 - 77
2018-03-17 vs Maine Black Bears W 83 - 54
2018-03-19 vs Arizona State Sun Devils W 85 - 65
2018-03-23 vs UCLA Bruins L 75 - 84

2018 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Ariel Atkins Ariel Atkins - 25 28.2 15.2 5.6 3.2 2.5 0.6 1.8 10.6 14.8 457 33 13.8 20.6 55.8 40.7 92.3 5.13 65.8 62.5
L. Higgs L. Higgs G 25 25.4 13.0 3.2 2.8 1.5 0.0 1.8 9.3 9.4 391 33 11.8 19.6 55.6 34.7 74.6 4.55 62.1 59.3
B. McCarty-Williams B. McCarty-Williams G 24 31.1 12.6 5.0 4.4 1.6 0.1 1.9 11.5 10.3 489 32 15.3 19.9 41.1 36.0 87.8 8.02 51.5 48.4
J. White J. White F 25 21.7 10.0 5.8 0.8 0.4 0.3 1.7 8.1 7.5 363 33 11.0 20.5 52.5 0 72.5 3.4 55.5 52.5
Sug Sutton Sug Sutton - 24 23.1 7.0 3.0 2.2 0.8 0.1 1.9 6.2 5.1 233 32 7.3 13.2 45.3 34.0 68.0 1.12 53.1 51.4
Joyner Holmes Joyner Holmes - 21 16.9 7.0 6.1 1.3 0.5 0.4 2.2 7.2 5.9 54 23 2.3 5.7 39.7 0.0 58.7 -1.43 42.9 39.7
A. Caron-Goudreau A. Caron-Goudreau F 14 20.7 6.3 4.8 0.6 1.0 1.9 1.0 4.9 8.6 340 23 14.8 29.6 51.5 41.7 72.2 5.08 58.0 55.1
R. Boothe R. Boothe F 14 11.2 4.6 3.8 0.4 0.0 0.4 1.2 5.1 2.8 41 17 2.4 9.3 38.9 26.3 36.4 -0.41 42.3 42.4
J. Hosey J. Hosey F 24 11.2 3.6 2.2 0.5 0.0 0.2 0.8 3.2 2.5 100 32 3.1 12.2 50.6 0.0 60.0 -1.02 52.0 50.6
D. Littleton D. Littleton G 4 17.0 3.2 2.0 1.0 1.0 0.2 0.8 5.2 1.5 29 8 3.6 12.6 23.8 25.0 0 -1.02 31.0 31.0
C. Patterson C. Patterson G 19 7.9 3.2 1.1 0.7 0.2 0.1 0.6 2.7 2.0 -3 22 -0.1 -0.8 45.1 26.1 72.7 -3.18 53.7 51.0
J. Underwood J. Underwood G 22 10.9 3.0 1.6 0.6 0.3 0.1 0.9 2.3 2.4 -9 29 -0.3 -1.2 47.1 25.0 60.9 -3.18 53.2 50.0
O. Aborowa O. Aborowa F 21 9.4 2.9 2.6 0.2 0.1 0.2 0.8 3.0 2.2 19 27 0.7 3.2 42.9 0 50.0 0.09 44.1 42.9
K. Caron-Goudreau K. Caron-Goudreau F 14 6.4 0.4 1.1 0.3 0.1 0.4 0.1 0.9 1.2 41 15 2.7 15.1 7.7 12.5 100.0 1.77 18.0 11.5

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG