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Texas Tech

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

2016 Team Stats (11 games)

67.1
PPG
73.2
Opp
-6.1
Margin
42.7%
FG%
34.3%
3P%
69.7%
FT%
32.5
RPG
12.9
APG
12.5
TO
-
Est. poss./game
74.5
Adj PPG
64.9
Adj Opp PPG
#57
Scoring Rank

Model Outputs

2015-2016
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†’ 1229 (#49) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1169 (#66) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 997 (#175) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +10.7 (#54) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +7.9 (#71) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.586 (#129) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.3 More โ†’ 0.868 (#49) AdjNet +16.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.5 More โ†’ 0.870 (#48) AdjNet +16.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.5 | AdjD 64.9 More โ†’ 0.705 (#57) AdjO 74.5 | AdjD 64.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.2 | AdjD 68.3 More โ†’ 0.564 (#117) AdjO 71.2 | AdjD 68.3
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†’ 0.729 (#57) 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†’ 0.704 (#65) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 113 | GP 32 More โ†’ 1201 (#49) RD 113 | GP 32

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs High Point Panthers W 77 - 73
2015-11-19 vs Utah Utes L 63 - 73
2015-11-20 vs Mississippi State Bulldogs W 74 - 72
2015-11-22 vs Minnesota Golden Gophers W 81 - 68
2015-11-28 vs Hawai'i Rainbow Warriors W 82 - 74
2015-12-02 vs Sam Houston Bearkats W 71 - 56
2015-12-09 vs UT Martin Skyhawks W 68 - 49
2015-12-16 vs South Dakota State Jackrabbits W 79 - 67
2015-12-19 vs Arkansas-Pine Bluff Golden Lions W 94 - 54
2015-12-22 vs Little Rock Trojans W 65 - 53
2015-12-29 vs Richmond Spiders W 85 - 70
2016-01-02 vs Texas Longhorns W 82 - 74
2016-01-06 @ Iowa State Cyclones L 69 - 76
2016-01-09 vs Kansas Jayhawks L 59 - 69
2016-01-12 @ Kansas State Wildcats L 70 - 83
2016-01-16 vs Baylor Bears L 60 - 63
2016-01-18 @ TCU Horned Frogs W 76 - 69
2016-01-23 vs West Virginia Mountaineers L 76 - 80
2016-01-26 @ Oklahoma Sooners L 67 - 91
2016-01-30 @ Arkansas Razorbacks L 68 - 75
2016-02-03 vs Oklahoma State Cowboys W 63 - 61
2016-02-06 @ Texas Longhorns L 59 - 69
2016-02-10 vs Iowa State Cyclones W 85 - 82
2016-02-13 @ Baylor Bears W 84 - 66
2016-02-17 vs Oklahoma Sooners W 65 - 63
2016-02-20 @ Oklahoma State Cowboys W 71 - 61
2016-02-23 vs TCU Horned Frogs W 83 - 79
2016-02-27 @ Kansas Jayhawks L 58 - 67
2016-03-02 @ West Virginia Mountaineers L 68 - 90
2016-03-05 vs Kansas State Wildcats W 80 - 71
2016-03-09 vs TCU Horned Frogs L 62 - 67
2016-03-17 vs Butler Bulldogs L 61 - 71

2016 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%
Toddrick Gotcher Toddrick Gotcher G 29 28.5 10.9 3.4 2.2 1.1 0.3 0.9 3.4 13.7 67 22 3.0 4.6 35.4 24.1 80.0 4.74 146.6 41.9
Aaron Ross Aaron Ross F 29 22.4 10.6 4.6 0.8 0.3 0.3 1.1 2.9 12.6 -37 22 -1.7 -3.4 42.9 38.9 87.5 -2.06 157.0 51.2
Zach Smith Zach Smith F 29 33.0 9.8 7.6 1.8 0.9 1.4 1.6 3.0 16.9 32 22 1.5 1.9 44.2 12.5 54.5 0.96 140.8 44.8
Devaugntah Williams Devaugntah Williams G 29 25.7 9.8 3.0 1.5 0.8 0.2 1.6 3.4 10.3 86 22 3.9 6.3 37.0 36.6 76.9 4.64 127.9 44.5
Justin Gray Justin Gray G 28 24.2 9.2 3.9 0.9 0.9 0.5 1.1 3.0 11.2 -26 22 -1.2 -2.3 53.6 44.4 70.0 -0.2 132.7 60.7
Keenan Evans Keenan Evans G 29 25.7 8.6 2.9 2.9 1.0 0.3 1.8 2.2 11.7 51 22 2.3 3.9 43.8 41.2 75.0 1.62 155.9 49.2
Norense Odiase Norense Odiase C 17 18.0 8.0 4.2 0.9 0.3 0.8 1.7 2.0 10.6 67 14 4.8 10.9 52.9 0 33.3 2.02 192.5 52.9
Matthew Temple Matthew Temple F 23 12.9 3.6 1.8 0.7 0.2 0.3 0.8 1.4 4.5 -26 19 -1.4 -5.1 54.5 75.0 44.4 -1.35 112.3 59.1
Isaiah Manderson Isaiah Manderson F 4 8.5 3.0 1.8 0.0 0.0 0.0 1.0 0.0 3.8 - - - - 0 0 0 - 0 0
Devon Thomas Devon Thomas G 29 12.1 2.3 1.2 1.3 0.4 0.0 0.9 0.7 3.8 -45 22 -2.0 -8.0 26.3 0.0 0 -2.83 176.3 26.3
C.J. Williamson C.J. Williamson G 18 7.3 1.9 0.8 0.4 0.3 0.1 0.6 0.8 2.1 -19 13 -1.5 -10.0 28.6 28.6 50.0 -2.41 114.2 35.7
Jordan Jackson Jordan Jackson - 21 5.6 1.2 0.8 0.3 0.1 0.1 0.3 0.3 2.0 -5 13 -0.4 -3.1 50.0 50.0 0.0 0.55 189.0 58.3
Donovan Ham Donovan Ham G 5 1.6 0.4 0.0 0.0 0.0 0.0 0.0 0.0 0.4 -4 5 -0.8 -21.5 0 0 0 -1.62 0 0
Rokas Ulvydas Rokas Ulvydas F 8 2.8 0.2 0.2 0.0 0.0 0.8 0.4 0.2 0.6 -10 5 -2.0 -38.4 0.0 0 0.0 -2.29 34.7 0.0
Andrew Sorrells Andrew Sorrells G 5 2.2 0.0 0.2 0.0 0.0 0.0 0.2 0.0 0.0 -14 5 -2.8 -55.1 0 0 0 -3.57 0 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