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Texas Tech

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Texas Tech Red Raiders, Texas Tech
Program History
Coach: Tubby Smith

2014 Team Stats (8 games)

67.6
PPG
75.5
Opp
-7.9
Margin
44.1%
FG%
32.2%
3P%
74.4%
FT%
33.8
RPG
11.5
APG
12.5
TO
-
Est. poss./game
68.6
Adj PPG
61.8
Adj Opp PPG
#75
Scoring Rank

Model Outputs

2013-2014
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 → 1074 (#117) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1055 (#128) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More → 947 (#248) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +7.8 (#69) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +6.2 (#88) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.500 (#170) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.4 More → 0.787 (#74) AdjNet +11.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.5 More → 0.791 (#75) AdjNet +11.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.6 | AdjD 61.8 More → 0.652 (#75) AdjO 68.6 | AdjD 61.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.6 | AdjD 62.2 More → 0.531 (#132) AdjO 63.6 | AdjD 62.2
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 → 0.645 (#92) 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 → 0.621 (#105) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 136 | GP 32 More → 1096 (#105) RD 136 | GP 32

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Houston Christian Huskies W 76 - 61
2013-11-11 vs Northern Arizona Lumberjacks W 88 - 68
2013-11-14 @ Alabama Crimson Tide L 64 - 76
2013-11-18 vs Texas Southern Tigers W 80 - 71
2013-11-21 vs South Dakota State Jackrabbits W 68 - 54
2013-11-25 vs Pittsburgh Panthers L 53 - 76
2013-11-26 @ Houston Cougars W 76 - 64
2013-11-29 vs UTSA Roadrunners W 94 - 64
2013-12-03 @ Arizona Wildcats L 58 - 79
2013-12-15 vs Central Arkansas Bears W 79 - 57
2013-12-18 vs LSU Tigers L 69 - 71
2013-12-21 @ Arizona State Sun Devils L 62 - 76
2013-12-30 vs Mount St. Mary's Mountaineers W 100 - 69
2014-01-04 vs Iowa State Cyclones L 62 - 73
2014-01-06 vs West Virginia Mountaineers L 86 - 89
2014-01-11 @ Texas Longhorns L 64 - 67
2014-01-15 vs Baylor Bears W 82 - 72
2014-01-18 @ TCU Horned Frogs W 60 - 49
2014-01-22 @ West Virginia Mountaineers L 81 - 87
2014-01-25 vs Oklahoma Sooners L 65 - 74
2014-01-28 @ Kansas State Wildcats L 58 - 66
2014-02-01 vs TCU Horned Frogs W 60 - 54
2014-02-08 vs Oklahoma State Cowboys W 65 - 61
2014-02-12 @ Oklahoma Sooners W 68 - 60
2014-02-15 @ Iowa State Cyclones L 64 - 70
2014-02-18 vs Kansas Jayhawks L 63 - 64
2014-02-22 @ Oklahoma State Cowboys L 62 - 84
2014-02-25 vs Kansas State Wildcats L 56 - 60
2014-03-01 @ Baylor Bears L 49 - 59
2014-03-05 @ Kansas Jayhawks L 57 - 82
2014-03-08 vs Texas Longhorns W 59 - 53
2014-03-12 @ Oklahoma State Cowboys L 62 - 80

2014 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%
Jaye Crockett Jaye Crockett F 27 29.0 14.6 6.3 1.1 1.0 0.3 1.6 5.0 16.7 -29 27 -1.1 -1.6 54.5 40.7 86.0 1.64 128.8 58.6
Jordan Tolbert Jordan Tolbert F 27 26.9 10.7 5.9 0.8 0.9 0.8 1.8 3.7 13.6 -44 27 -1.6 -2.6 57.0 33.3 64.4 1.86 121.0 59.5
Robert Turner Robert Turner G 27 28.0 9.5 2.5 2.7 1.4 0.2 1.7 3.4 11.1 -16 27 -0.6 -0.9 38.7 35.7 61.5 1.49 123.0 44.1
Dusty Hannahs Dusty Hannahs G 27 22.8 8.0 1.6 1.4 0.4 0.0 0.8 3.0 7.6 -11 27 -0.4 -0.8 37.5 37.0 96.4 0.39 116.4 48.1
Toddrick Gotcher Toddrick Gotcher G 27 26.1 7.4 2.8 2.0 0.6 0.1 0.9 2.3 9.7 -32 27 -1.2 -1.9 42.9 32.0 69.7 1.42 128.4 49.2
Dejan Kravic Dejan Kravic F 27 19.8 6.7 4.3 0.7 0.4 1.1 1.1 2.4 9.7 -61 27 -2.3 -4.4 56.1 0 66.7 -2.27 121.8 56.1
Aaron Ross Aaron Ross F 25 9.9 3.7 2.0 0.3 0.1 0.2 0.4 1.0 4.7 -13 25 -0.5 -2.5 30.8 37.5 90.0 1.25 151.3 36.5
Randy Onwuasor Randy Onwuasor G 27 12.7 3.4 1.3 1.3 0.6 0.1 1.4 1.1 4.1 -61 27 -2.3 -8.0 35.5 22.2 50.0 -1.35 126.8 38.7
Jamal Williams, Jamal Williams, G 23 11.9 2.7 1.1 1.0 0.3 0.0 0.8 1.3 3.1 -37 24 -1.5 -6.7 30.0 30.8 50.0 0.23 95.0 36.7
Kader Tapsoba Kader Tapsoba F 22 10.1 2.5 1.3 0.2 0.5 0.7 0.6 0.6 4.0 -34 21 -1.6 -7.3 35.7 0 25.0 -3.2 177.7 35.7
Alex Foster Alex Foster F 21 6.9 2.1 1.4 0.0 0.0 0.2 0.3 0.9 2.6 -7 22 -0.3 -1.9 55.6 0 80.0 -0.17 111.4 55.6
Stan Mays Stan Mays G 6 2.3 1.3 0.2 0.2 0.2 0.0 0.0 0.3 1.5 - - - - 100.0 100.0 0 -1.87 200.0 150.0
Clark Lammert Clark Lammert F 7 2.6 1.0 0.7 0.0 0.1 0.1 0.1 0.1 1.7 - - - - 100.0 0 0 -1.54 350.0 100.0
Luke Adams Luke Adams G 11 3.8 0.3 0.3 0.6 0.3 0.0 0.3 0.0 1.2 -15 8 -1.9 -19.5 0 0 100.0 -3.86 340.9 0

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