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Texas Tech

Also known as: Texas Tech Red Raiders, Texas Tech
Program History

2013 Team Stats (6 games)

54.3
PPG
76.3
Opp
-22.0
Margin
37.0%
FG%
28.6%
3P%
65.3%
FT%
24.7
RPG
9.7
APG
13.0
TO
-
Est. poss./game
65.2
Adj PPG
69.8
Adj Opp PPG
#237
Scoring Rank

Model Outputs

2012-2013
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 โ†’ 990 (#179) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 918 (#226) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 897 (#306) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ -4.4 (#229) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ -3.8 (#221) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.225 (#298) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.7 More โ†’ 0.368 (#209) AdjNet -4.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.8 More โ†’ 0.364 (#210) AdjNet -4.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.2 | AdjD 69.8 More โ†’ 0.397 (#237) AdjO 65.2 | AdjD 69.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.8 | AdjD 69.4 More โ†’ 0.353 (#303) AdjO 62.8 | AdjD 69.4
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 โ†’ 0.385 (#228) 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 โ†’ 0.377 (#238) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 134 | GP 31 More โ†’ 982 (#187) RD 134 | GP 31

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Prairie View A&M Panthers W 89 - 79
2012-11-14 vs Omaha Mavericks W 91 - 63
2012-11-20 vs Grambling Tigers W 91 - 56
2012-11-26 vs Jackson State Tigers W 84 - 75
2012-12-01 vs Arizona Wildcats L 57 - 85
2012-12-04 vs Northern Kentucky Norse W 75 - 69
2012-12-16 vs McNeese Cowboys L 75 - 80
2012-12-19 vs Alabama Crimson Tide L 62 - 66
2012-12-22 vs Arizona State Sun Devils L 62 - 77
2012-12-28 vs North Carolina A&T Aggies W 85 - 74
2012-12-31 vs Florida A&M Rattlers W 70 - 56
2013-01-05 @ TCU Horned Frogs W 62 - 53
2013-01-08 vs Baylor Bears L 48 - 82
2013-01-12 vs Kansas Jayhawks L 46 - 60
2013-01-16 @ Oklahoma Sooners L 63 - 81
2013-01-19 @ Oklahoma State Cowboys L 45 - 79
2013-01-23 vs Iowa State Cyclones W 56 - 51
2013-01-26 @ Texas Longhorns L 57 - 73
2013-02-02 vs West Virginia Mountaineers L 61 - 77
2013-02-05 vs Kansas State Wildcats L 59 - 68
2013-02-09 @ Baylor Bears L 48 - 75
2013-02-13 vs Oklahoma State Cowboys L 67 - 91
2013-02-16 @ West Virginia Mountaineers L 64 - 66
2013-02-20 vs Oklahoma Sooners L 71 - 86
2013-02-23 @ Iowa State Cyclones L 66 - 86
2013-02-25 @ Kansas State Wildcats L 55 - 75
2013-03-02 vs TCU Horned Frogs W 72 - 63
2013-03-04 @ Kansas Jayhawks L 42 - 79
2013-03-09 vs Texas Longhorns L 69 - 71
2013-03-13 @ West Virginia Mountaineers W 71 - 69
2013-03-14 @ Kansas Jayhawks L 63 - 91

2013 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 31 24.9 11.9 6.5 0.6 1.3 0.3 1.7 2.9 16.0 -174 28 -6.2 -12.2 45.6 29.2 62.5 -0.52 189.6 49.4
Jordan Tolbert Jordan Tolbert F 31 23.0 9.9 5.5 0.4 0.7 0.7 1.8 2.4 13.0 -218 28 -7.8 -16.8 52.1 0 60.0 -3.76 173.1 52.1
Josh Gray Josh Gray C 31 26.7 9.3 2.5 3.2 2.0 0.1 3.3 2.6 11.1 -216 28 -7.7 -13.8 35.8 21.7 80.0 -3.08 165.0 38.9
Dejan Kravic Dejan Kravic F 31 21.5 9.0 5.2 1.2 0.7 1.3 1.8 2.1 13.4 -125 28 -4.5 -10.0 37.9 0 61.5 0.6 193.8 37.9
Dusty Hannahs Dusty Hannahs G 31 22.4 6.9 1.1 0.4 0.5 0.0 0.9 2.0 6.0 -131 28 -4.7 -9.6 44.4 38.6 66.7 3.25 160.5 57.9
Trency Jackson Trency Jackson G 12 22.4 6.6 2.3 1.2 1.2 0.0 2.0 2.7 6.8 -16 10 -1.6 -3.0 25.0 36.4 55.6 -0.45 109.8 31.2
Jamal Williams, Jamal Williams, G 29 20.1 4.7 2.1 1.4 0.4 0.1 1.0 1.1 6.6 -139 25 -5.6 -12.5 25.0 6.7 69.2 0.86 179.0 26.6
Daylen Robinson Daylen Robinson G 30 16.5 3.1 1.3 1.9 0.9 0.0 1.8 1.3 4.2 -73 26 -2.8 -8.5 26.3 22.2 87.5 -1.73 110.8 28.9
Ty Nurse Ty Nurse G 29 14.4 2.5 0.6 0.8 0.6 0.0 0.4 0.6 3.5 -112 26 -4.3 -15.5 38.9 35.7 50.0 -2.18 193.3 52.8
Kader Tapsoba Kader Tapsoba F 27 7.2 2.4 1.6 0.0 0.2 0.5 0.4 0.3 4.1 -31 24 -1.3 -7.6 66.7 0 72.2 -2.02 195.0 66.7
Toddrick Gotcher Toddrick Gotcher G 31 12.8 2.2 1.4 0.5 0.4 0.0 0.5 0.7 3.2 -86 27 -3.2 -11.9 30.4 0.0 76.9 -1.1 120.1 30.4
Luke Adams Luke Adams G 15 4.7 1.8 0.5 0.4 0.2 0.0 0.2 0.9 1.7 14 15 0.9 9.3 35.7 44.4 100.0 -0.1 85.7 50.0
Clark Lammert Clark Lammert F 19 6.5 1.5 1.3 0.3 0.2 0.1 0.1 0.4 2.9 17 16 1.1 7.3 37.5 42.9 62.5 1.17 125.9 56.2

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