๐Ÿปโฌ‡๏ธ๐Ÿ€

Texas Tech

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

2017 Team Stats (8 games)

70.1
PPG
74.1
Opp
-4.0
Margin
44.7%
FG%
36.1%
3P%
71.2%
FT%
29.6
RPG
12.8
APG
11.4
TO
-
Est. poss./game
73.5
Adj PPG
61.9
Adj Opp PPG
#43
Scoring Rank

Model Outputs

2016-2017
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†’ 1157 (#84) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1091 (#99) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 949 (#244) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +12.7 (#41) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +11.4 (#48) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.736 (#51) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.8 More โ†’ 0.898 (#36) AdjNet +18.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.1 More โ†’ 0.901 (#36) AdjNet +19.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.5 | AdjD 61.9 More โ†’ 0.742 (#43) AdjO 73.5 | AdjD 61.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.1 | AdjD 65.4 More โ†’ 0.606 (#66) AdjO 70.1 | AdjD 65.4
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†’ 0.724 (#63) 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†’ 0.699 (#67) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 135 | GP 32 More โ†’ 1108 (#90) RD 135 | GP 32

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Houston Christian Huskies W 93 - 67
2016-11-15 vs North Texas Mean Green W 70 - 43
2016-11-19 vs Eastern Kentucky Colonels W 90 - 71
2016-11-22 vs Auburn Tigers L 65 - 67
2016-11-23 vs Utah State Aggies W 75 - 51
2016-11-25 vs Idaho State Bengals W 91 - 58
2016-11-30 vs Incarnate Word Cardinals W 69 - 48
2016-12-03 vs Rice Owls W 85 - 84
2016-12-07 vs UTSA Roadrunners W 87 - 50
2016-12-14 vs Nicholls Colonels W 89 - 46
2016-12-17 @ Richmond Spiders W 79 - 72
2016-12-21 vs Longwood Lancers W 91 - 60
2016-12-30 @ Iowa State Cyclones L 56 - 63
2017-01-03 vs West Virginia Mountaineers W 77 - 76
2017-01-07 @ Kansas Jayhawks L 68 - 85
2017-01-10 vs Kansas State Wildcats W 66 - 65
2017-01-14 @ Oklahoma Sooners L 75 - 84
2017-01-18 vs TCU Horned Frogs W 75 - 69
2017-01-21 vs Oklahoma State Cowboys L 64 - 83
2017-01-25 @ Baylor Bears L 61 - 65
2017-01-28 vs LSU Tigers W 77 - 64
2017-02-01 @ Texas Longhorns L 58 - 62
2017-02-04 vs Oklahoma Sooners W 77 - 69
2017-02-07 @ TCU Horned Frogs L 61 - 62
2017-02-11 vs Kansas Jayhawks L 79 - 80
2017-02-13 vs Baylor Bears W 84 - 78
2017-02-18 @ West Virginia Mountaineers L 74 - 83
2017-02-20 vs Iowa State Cyclones L 80 - 82
2017-02-25 @ Oklahoma State Cowboys L 63 - 80
2017-03-01 vs Texas Longhorns W 67 - 57
2017-03-04 @ Kansas State Wildcats L 48 - 61
2017-03-08 vs Texas Longhorns L 52 - 61

2017 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%
Keenan Evans Keenan Evans G 22 30.2 15.1 2.8 3.2 0.9 0.2 1.6 5.9 14.6 132 23 5.7 8.5 48.1 45.7 86.8 5.32 109.0 56.2
Zach Smith Zach Smith F 21 33.1 12.9 7.4 1.6 0.5 1.3 2.0 5.5 16.1 51 23 2.2 3.1 45.7 34.6 53.5 -1.08 100.4 49.6
Justin Gray Justin Gray G 22 28.5 9.5 4.9 1.7 0.9 1.0 1.2 2.8 14.0 81 24 3.4 5.4 59.0 40.0 70.8 -0.07 146.0 60.7
Niem Stevenson Niem Stevenson G 21 23.0 9.2 4.4 1.6 0.7 0.1 0.8 5.1 10.1 111 22 5.0 10.6 39.8 37.1 66.0 3.66 74.2 45.8
Aaron Ross Aaron Ross F 18 22.0 8.9 2.9 1.4 0.3 0.1 0.7 2.7 10.2 52 20 2.6 5.1 46.9 42.3 90.0 1.69 128.6 58.2
Anthony Livingston Anthony Livingston F 22 22.4 8.7 3.8 1.1 0.2 0.1 1.0 3.5 9.5 145 24 6.0 11.3 34.2 24.4 66.7 3.09 118.1 40.8
Devon Thomas Devon Thomas G 22 22.7 4.0 2.3 2.6 1.1 0.0 0.6 1.6 7.9 66 24 2.8 5.2 37.1 11.1 33.3 1.51 111.7 38.6
Norense Odiase Norense Odiase C 2 7.0 4.0 1.5 1.0 0.5 0.0 0.0 0.5 6.5 - - - - 0.0 0 0 -0.17 400.0 0.0
Shadell Millinghaus Shadell Millinghaus G 21 12.8 4.0 2.0 0.6 0.8 0.0 0.7 1.1 5.7 39 23 1.7 5.1 25.0 12.5 70.0 -0.91 147.9 27.1
Gio McLean Gio McLean G 6 12.5 3.8 1.2 0.8 0.3 0.0 0.7 0.2 5.3 - - - - 0.0 0.0 0 - 1150.0 0.0
Matthew Temple Matthew Temple F 22 9.0 3.0 1.3 0.5 0.0 0.2 0.6 0.7 3.6 24 24 1.0 5.3 60.0 50.0 70.0 -1.05 170.1 76.7
Thomas Brandsma Thomas Brandsma F 19 4.6 0.9 0.4 0.1 0.1 0.1 0.2 0.1 1.2 -6 21 -0.3 -2.9 50.0 0 0 -4.01 450.0 50.0

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