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Houston

Also known as: Houston Cougars
Program History

2019 Team Stats (4 games)

63.5
PPG
74.5
Opp
-11.0
Margin
36.5%
FG%
29.6%
3P%
54.2%
FT%
35.5
RPG
11.3
APG
13.5
TO
-
Est. poss./game
70.4
Adj PPG
63.8
Adj Opp PPG
#101
Scoring Rank

Model Outputs

2018-2019
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†’ 1078 (#128) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1061 (#139) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 982 (#201) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +7.3 (#103) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +5.9 (#111) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.488 (#182) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.8 More โ†’ 0.776 (#106) AdjNet +10.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.1 More โ†’ 0.782 (#105) AdjNet +11.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.4 | AdjD 63.8 More โ†’ 0.645 (#101) AdjO 70.4 | AdjD 63.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.0 | AdjD 64.3 More โ†’ 0.538 (#134) AdjO 66.0 | AdjD 64.3
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†’ 0.632 (#119) 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†’ 0.611 (#120) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 118 | GP 31 More โ†’ 1031 (#146) RD 118 | GP 31

2019 Schedule & Results

Date Vs/At Opponent Result Score
2018-11-06 @ California Golden Bears L 79 - 80
2018-11-09 vs Georgia Tech Yellow Jackets W 95 - 89
2018-11-14 @ Louisiana Tech Lady Techsters L 88 - 100
2018-11-16 @ Incarnate Word Cardinals W 79 - 60
2018-11-18 vs Boston College Eagles L 57 - 64
2018-11-21 @ Columbia Lions W 83 - 72
2018-11-24 vs New Mexico Lobos L 84 - 89
2018-11-28 @ Florida Gulf Coast Eagles L 71 - 76
2018-12-01 @ East Tennessee State Buccaneers W 84 - 77
2018-12-06 vs Texas A&M Aggies L 52 - 68
2018-12-17 vs UT Arlington Mavericks L 61 - 65
2018-12-21 @ George Mason Patriots W 66 - 56
2018-12-30 @ Southern Miss Lady Eagles W 61 - 44
2019-01-06 vs UConn Huskies L 61 - 81
2019-01-09 @ SMU Mustangs W 72 - 61
2019-01-12 vs Temple Owls W 78 - 65
2019-01-20 @ Wichita State Shockers W 66 - 58
2019-01-23 @ Cincinnati Bearcats L 57 - 68
2019-01-26 vs Tulsa Golden Hurricane W 76 - 44
2019-01-30 @ UCF Knights L 56 - 58
2019-02-02 vs SMU Mustangs W 69 - 68
2019-02-05 @ Temple Owls L 65 - 76
2019-02-10 @ South Florida Bulls W 54 - 52
2019-02-16 vs East Carolina Pirates W 63 - 52
2019-02-20 vs Tulane Green Wave W 83 - 82
2019-02-24 @ Memphis Tigers W 59 - 57
2019-02-27 vs South Florida Bulls L 49 - 59
2019-03-02 @ UConn Huskies L 61 - 83
2019-03-04 vs UCF Knights L 50 - 59
2019-03-09 vs South Florida Bulls L 55 - 72
2019-03-21 @ Arkansas Razorbacks L 80 - 88

2019 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%
J. Harris J. Harris G 1 28.0 17.0 1.0 1.0 2.0 0.0 5.0 14.0 2.0 46 12 3.8 5.6 35.7 25.0 100.0 4.0 52.5 42.9
A. Harris A. Harris G 4 31.0 13.5 3.5 3.0 1.2 0.0 2.8 13.2 5.2 11 26 0.4 0.6 39.6 28.6 50.0 1.56 49.3 49.1
D. Branch D. Branch F 4 35.2 10.8 3.8 2.8 0.5 0.5 2.2 10.2 5.8 -5 27 -0.2 -0.2 39.0 31.8 40.0 0.12 47.4 47.6
O. Barnes O. Barnes F 4 28.5 8.8 1.8 0.8 0.5 0.0 0.8 11.0 0.0 46 27 1.7 2.7 29.5 42.9 0.0 2.9 39.0 39.8
S. Hawkins S. Hawkins G 4 32.0 8.5 7.5 2.5 1.0 0.5 2.0 8.0 10.0 27 27 1.0 1.3 34.4 22.2 50.0 1.86 43.5 40.6
J. Blackshell-Fair J. Blackshell-Fair G 4 23.2 6.0 4.5 1.2 0.2 0.5 1.5 6.5 4.5 -21 27 -0.8 -1.4 38.5 0.0 100.0 -0.89 43.2 38.5
D. Jones D. Jones G 1 8.0 5.0 0.0 0.0 0.0 0.0 0.0 4.0 1.0 12 10 1.2 10.4 50.0 0.0 100.0 0.97 56.3 50.0
A. Okoene A. Okoene F 4 15.2 4.8 2.8 0.0 0.0 0.5 1.0 4.5 2.5 -28 24 -1.2 -2.5 50.0 0 100.0 -2.81 51.5 50.0
T. Hill T. Hill F 4 17.0 4.2 3.2 0.0 0.5 0.0 1.0 4.5 2.5 15 27 0.6 1.8 27.8 0 43.8 0.1 33.9 27.8
M. West M. West F 1 9.0 4.0 2.0 0.0 0.0 0.0 3.0 2.0 1.0 -15 14 -1.1 -4.6 100.0 0 0 -3.36 100.0 100.0
D. Gladney D. Gladney G 4 6.2 0.5 0.5 0.8 0.0 0.0 0.2 2.0 -0.5 10 27 0.4 1.9 12.5 0.0 0 -0.8 12.5 12.5

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