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Texas Tech

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

2020 Team Stats (10 games)

75.5
PPG
61.7
Opp
+13.8
Margin
48.3%
FG%
36.5%
3P%
71.0%
FT%
35.2
RPG
18.7
APG
14.1
TO
-
Est. poss./game
73.5
Adj PPG
59.7
Adj Opp PPG
#21
Scoring Rank

Model Outputs

2019-2020
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†’ 1332 (#23) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1132 (#74) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +96 elo More โ†’ 1005 (#176) HCA +96 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ +15.0 (#21) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.1 More โ†’ +15.1 (#19) HCA +3.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.807 (#23) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.6 More โ†’ 0.932 (#18) AdjNet +22.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.9 More โ†’ 0.934 (#17) AdjNet +22.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.5 | AdjD 59.7 More โ†’ 0.777 (#21) AdjO 73.5 | AdjD 59.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.6 | AdjD 62.3 More โ†’ 0.700 (#18) AdjO 71.6 | AdjD 62.3
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†’ 0.794 (#33) 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†’ 0.781 (#33) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 88 | GP 31 More โ†’ 1179 (#56) RD 88 | GP 31

2020 Schedule & Results

Date Vs/At Opponent Result Score
2019-11-05 vs Eastern Illinois Panthers W 85 - 60
2019-11-09 vs Bethune-Cookman Wildcats W 79 - 44
2019-11-13 vs Houston Christian Huskies W 103 - 74
2019-11-21 vs Tennessee State Tigers W 72 - 57
2019-11-24 vs Long Island University Sharks W 96 - 66
2019-11-28 vs Iowa Hawkeyes L 61 - 72
2019-11-29 vs Creighton Bluejays L 76 - 83
2019-12-04 @ DePaul Blue Demons L 60 - 65
2019-12-10 @ Louisville Cardinals W 70 - 57
2019-12-16 vs Southern Miss Golden Eagles W 71 - 65
2019-12-21 vs UT Rio Grande Valley Vaqueros W 68 - 58
2019-12-29 vs Cal State Bakersfield Roadrunners W 73 - 58
2020-01-04 vs Oklahoma State Cowboys W 85 - 50
2020-01-07 vs Baylor Bears L 52 - 57
2020-01-11 @ West Virginia Mountaineers L 54 - 66
2020-01-14 @ Kansas State Wildcats W 77 - 63
2020-01-18 vs Iowa State Cyclones W 72 - 52
2020-01-21 @ TCU Horned Frogs L 54 - 65
2020-01-25 vs Kentucky Wildcats L 74 - 76
2020-01-29 vs West Virginia Mountaineers W 89 - 81
2020-02-01 @ Kansas Jayhawks L 75 - 78
2020-02-04 vs Oklahoma Sooners W 69 - 61
2020-02-08 @ Texas Longhorns W 62 - 57
2020-02-10 vs TCU Horned Frogs W 88 - 42
2020-02-15 @ Oklahoma State Cowboys L 70 - 73
2020-02-19 vs Kansas State Wildcats W 69 - 62
2020-02-22 @ Iowa State Cyclones W 87 - 57
2020-02-25 @ Oklahoma Sooners L 51 - 65
2020-02-29 vs Texas Longhorns L 58 - 68
2020-03-02 @ Baylor Bears L 68 - 71
2020-03-07 vs Kansas Jayhawks L 62 - 66
2020-03-12 @ Texas Longhorns - Preview

2020 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%
Jahmi'us Ramsey Jahmi'us Ramsey - 26 30.9 15.0 4.0 2.2 1.3 0.7 1.9 9.8 11.4 121 19 6.4 8.3 43.1 43.8 63.2 1.54 69.4 52.7
Davide Moretti Davide Moretti G 30 34.0 12.8 1.7 2.2 1.1 0.0 2.0 6.9 9.0 102 21 4.9 5.9 43.8 39.4 89.4 -1.27 81.2 55.8
Kyler Edwards Kyler Edwards G 30 33.2 11.3 3.9 3.0 1.0 0.6 1.9 7.4 10.6 148 21 7.0 8.5 38.5 31.2 74.1 3.08 69.5 46.4
Terrence Shannon Terrence Shannon - 28 24.1 10.1 4.3 1.0 0.9 0.4 1.3 4.9 10.6 99 19 5.2 9.7 48.6 23.5 81.8 2.26 82.6 50.0
T.J. Holyfield T.J. Holyfield F 30 24.3 8.9 4.5 1.2 0.8 1.6 1.6 5.1 10.3 124 21 5.9 10.1 52.9 34.3 64.3 2.5 75.2 56.9
Kevin McCullar Kevin McCullar - 19 17.9 6.6 2.9 0.8 1.3 0.3 1.4 4.8 5.7 58 20 2.9 5.8 51.1 23.8 76.5 -1.18 58.4 53.8
Chris Clarke Chris Clarke G 29 24.7 5.7 6.8 4.6 0.9 0.1 2.2 4.0 11.9 110 20 5.5 10.4 46.1 11.1 72.7 4.05 61.8 46.5
D. Harmon D. Harmon - 1 18.0 3.0 0.0 2.0 1.0 0.0 2.0 0.0 4.0 - - - - 0 0 0 - 0 0
Clarence Nadolny Clarence Nadolny - 20 5.8 2.3 0.9 0.4 0.1 0.0 0.5 0.1 3.1 - - - - 33.3 0.0 50.0 - 352.8 33.3
Avery Benson Avery Benson G 30 9.7 1.8 1.4 0.2 0.5 0.2 0.1 1.1 3.1 16 21 0.8 2.9 43.8 41.2 80.0 -0.44 80.4 54.7
Russel Tchewa Russel Tchewa - 23 5.1 1.7 0.9 0.2 0.1 0.3 0.4 1.1 1.7 5 14 0.4 2.9 46.2 0 50.0 -1.95 68.4 46.2
Andrei Savrasov Andrei Savrasov - 21 4.7 1.1 1.0 0.1 0.1 0.0 0.2 0.8 1.5 11 14 0.8 6.9 31.2 28.6 0 0.47 75.0 43.8

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