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Texas Tech

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

2012 Team Stats (9 games)

51.1
PPG
73.8
Opp
-22.7
Margin
39.9%
FG%
37.6%
3P%
67.1%
FT%
25.9
RPG
10.1
APG
18.2
TO
-
Est. poss./game
60.4
Adj PPG
63.6
Adj Opp PPG
#219
Scoring Rank

Model Outputs

2011-2012
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 → 951 (#195) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 887 (#258) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +101 elo More → 852 (#332) HCA +101 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More → -2.9 (#214) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → -5.6 (#256) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.169 (#306) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.6 More → 0.345 (#223) AdjNet -5.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.6 More → 0.344 (#223) AdjNet -5.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.4 | AdjD 63.6 More → 0.428 (#219) AdjO 60.4 | AdjD 63.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.2 | AdjD 64.9 More → 0.332 (#309) AdjO 57.2 | AdjD 64.9
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 → 0.340 (#254) 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 → 0.322 (#267) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 145 | GP 28 More → 885 (#241) RD 145 | GP 28

2012 Schedule & Results

Date Vs/At Opponent Result Score
2011-11-11 vs Troy Trojans W 90 - 85
2011-11-16 vs North Texas Mean Green W 69 - 64
2011-11-20 vs Stephen F. Austin Lumberjacks W 66 - 54
2011-11-24 @ Indiana State Sycamores L 49 - 60
2011-11-25 @ DePaul Blue Demons L 70 - 76
2011-11-27 @ Wake Forest Demon Deacons L 61 - 70
2011-12-01 @ Texas A&M-Corpus Christi Islanders W 61 - 54
2011-12-06 @ TCU Horned Frogs L 69 - 75
2011-12-18 vs Grambling Tigers W 87 - 59
2011-12-22 @ Oral Roberts Golden Eagles L 56 - 72
2011-12-27 vs Cal State Bakersfield Roadrunners W 74 - 58
2011-12-30 vs SE Louisiana Lions W 62 - 54
2012-01-04 @ Oklahoma State Cowboys L 59 - 67
2012-01-07 vs Baylor Bears L 60 - 73
2012-01-11 vs Kansas Jayhawks L 46 - 81
2012-01-14 @ Texas A&M Aggies L 54 - 67
2012-01-17 @ Oklahoma Sooners L 55 - 64
2012-01-21 vs Iowa State Cyclones L 52 - 76
2012-01-25 vs Kansas State Wildcats L 47 - 69
2012-01-28 @ Missouri Tigers L 50 - 63
2012-01-31 vs Oklahoma State Cowboys L 63 - 80
2012-02-04 @ Texas Longhorns L 57 - 74
2012-02-07 @ Kansas State Wildcats L 46 - 65
2012-02-11 vs Oklahoma Sooners W 65 - 47
2012-02-14 vs Texas A&M Aggies L 38 - 47
2012-02-18 @ Kansas Jayhawks L 50 - 83
2012-02-22 @ Iowa State Cyclones L 54 - 72
2012-02-25 vs Texas Longhorns L 67 - 71
2012-02-27 @ Baylor Bears L 48 - 77
2012-03-03 vs Missouri Tigers L 59 - 81
2012-03-07 @ Oklahoma State Cowboys L 60 - 76

2012 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Jordan Tolbert Jordan Tolbert F 29 23.7 11.4 5.6 0.7 0.4 0.7 2.6 3.4 12.7 -53 24 -2.2 -4.0 37.4 0.0 72.7 3.52 129.6 37.4
Jaye Crockett Jaye Crockett F 28 25.4 9.1 5.8 1.2 0.8 0.6 2.4 3.9 11.2 -172 24 -7.2 -13.9 48.6 36.4 80.4 -3.85 99.0 50.5
Ty Nurse Ty Nurse G 28 29.5 8.5 1.7 1.8 0.6 0.0 1.8 3.0 7.8 -115 23 -5.0 -7.6 38.8 36.4 86.4 0.11 125.7 50.6
Javarez Willis Javarez Willis G 29 29.6 7.8 2.3 1.9 0.7 0.0 2.2 3.1 7.5 -158 24 -6.6 -9.9 35.6 30.4 87.5 -3.09 117.0 45.0
Toddrick Gotcher Toddrick Gotcher G 8 30.1 7.6 3.8 2.4 0.4 0.8 1.4 1.0 12.5 5 6 0.8 1.1 62.5 100.0 0 1.33 381.2 75.0
Robert Lewandowski Robert Lewandowski F 29 23.2 6.6 3.6 1.1 0.2 0.9 2.0 2.6 7.7 -87 24 -3.6 -6.9 40.8 0.0 77.8 -0.82 113.8 40.8
Luke Adams Luke Adams G 22 18.7 4.1 0.9 1.1 0.8 0.0 1.6 2.1 3.2 -42 17 -2.5 -5.8 37.0 45.2 90.0 1.74 89.3 52.2
Clark Lammert Clark Lammert F 17 10.1 3.2 1.5 0.3 0.5 0.0 0.5 1.1 3.8 -18 15 -1.2 -6.4 52.6 37.5 71.4 -0.2 95.6 60.5
Biggie Minnis Biggie Minnis G 25 16.3 3.0 2.3 1.5 0.7 0.1 2.1 1.5 4.0 -64 21 -3.0 -9.3 32.4 0.0 68.4 0.51 83.8 32.4
Terran Petteway Terran Petteway F 26 13.6 2.9 2.1 0.8 0.2 0.2 1.2 1.2 3.8 -63 22 -2.9 -10.4 23.3 26.7 41.7 0.8 106.3 30.0
Jaron Nash Jaron Nash F 24 9.5 2.8 1.7 0.1 0.4 0.2 0.8 0.7 3.6 -79 20 -4.0 -18.3 29.4 0.0 23.1 -4.7 149.6 29.4
Kevin Wagner Kevin Wagner G 17 15.1 2.4 0.9 1.6 0.4 0.1 1.1 1.6 2.7 -59 13 -4.5 -14.2 29.6 60.0 62.5 -4.5 67.2 35.2

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