🐻⬇️🏀

Texas Tech

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

2014 Team Stats (8 games)

67.6
PPG
73.9
Opp
-6.6
Margin
44.1%
FG%
32.2%
3P%
74.4%
FT%
33.8
RPG
11.5
APG
12.5
TO
75.6
Pace

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 → 1686 (#25) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1529 (#38) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +38.8 (#21) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.252 (#65) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -11.9 More → 0.220 (#65) NetEff -11.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.8 More → 0.634 (#51) AdjNet +4.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.9 More → 0.638 (#50) AdjNet +4.9

2014 Schedule & Results

Date Vs/At Opponent Result Score
2014-01-04 vs Iowa State Cyclones L 62 - 73
2014-01-06 vs West Virginia Mountaineers L 86 - 89
2014-01-15 vs Baylor Bears W 82 - 72
2014-01-25 vs Oklahoma Sooners L 65 - 74
2014-02-08 vs Oklahoma State Cowboys W 65 - 61
2014-02-15 @ Iowa State Cyclones L 64 - 70
2014-02-18 vs Kansas Jayhawks L 63 - 64
2014-03-05 @ Kansas Jayhawks L 57 - 82
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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
J. Crockett J. Crockett F 9 29.4 16.8 6.9 0.9 0.6 0.2 1.8 11.7 11.9 - - - 51.4 47.8 86.5 - 62.3 56.7
J. Tolbert J. Tolbert F 9 29.1 11.6 5.3 0.6 0.9 0.8 2.0 8.2 8.9 - - - 52.7 30.0 65.7 - 58.2 54.7
T. Gotcher T. Gotcher G 9 28.9 8.1 2.7 2.1 0.2 0.2 1.2 5.8 6.3 - - - 44.2 30.0 67.7 - 55.6 50.0
D. Kravic D. Kravic F 9 22.7 8.0 5.1 1.1 0.4 0.3 1.4 5.8 7.8 - - - 57.7 0 66.7 - 60.1 57.7
R. Turner R. Turner G 9 27.8 6.7 2.8 2.8 1.4 0.1 1.7 6.9 5.2 - - - 32.3 25.0 68.2 - 41.9 36.3
D. Hannahs D. Hannahs G 9 24.8 6.6 2.1 1.4 0.6 0.0 0.8 6.3 3.6 - - - 33.3 29.0 92.3 - 47.0 41.2
S. Mays S. Mays G 1 2.0 3.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 - - - 100.0 100.0 0 - 150.0 150.0
R. Onwuasor R. Onwuasor G 9 12.9 2.4 0.6 1.4 0.3 0.1 1.4 2.7 0.8 - - - 33.3 22.2 57.1 - 40.6 37.5
A. Ross A. Ross F 8 8.6 2.2 1.9 0.2 0.0 0.1 0.5 2.1 1.9 - - - 29.4 33.3 100.0 - 45.8 35.3
J. Williams, Jr. J. Williams, Jr. G 8 8.2 2.1 0.9 0.2 0.1 0.1 0.4 2.2 0.9 74 6.2 8.2 33.3 28.6 75.0 1.26 43.0 38.9
C. Lammert C. Lammert F 1 2.0 2.0 1.0 0.0 0.0 0.0 0.0 1.0 2.0 - - - 100.0 0 0 - 100.0 100.0
A. Foster A. Foster F 9 6.7 2.0 1.2 0.0 0.1 0.2 0.1 1.4 2.0 - - - 53.8 0 80.0 - 59.2 53.8
K. Tapsoba K. Tapsoba F 5 7.8 1.4 1.2 0.2 1.0 0.2 0.2 1.8 2.0 - - - 33.3 0 50.0 - 35.4 33.3
L. Adams L. Adams G 3 2.3 0.0 0.0 0.3 0.0 0.0 0.0 0.0 0.3 - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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