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Houston

Also known as: Houston Cougars, Houston
Program History

2018 Team Stats (4 games)

84.5
PPG
75.2
Opp
+9.2
Margin
50.0%
FG%
45.1%
3P%
72.4%
FT%
37.5
RPG
16.8
APG
13.8
TO
-
Est. poss./game
78.2
Adj PPG
63.3
Adj Opp PPG
#17
Scoring Rank

Model Outputs

2017-2018
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†’ 1394 (#16) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1287 (#17) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1153 (#10) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +15.6 (#18) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +16.7 (#13) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.873 (#9) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.4 More โ†’ 0.930 (#17) AdjNet +22.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.6 More โ†’ 0.932 (#18) AdjNet +22.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 78.2 | AdjD 63.3 More โ†’ 0.794 (#17) AdjO 78.2 | AdjD 63.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.3 | AdjD 63.4 More โ†’ 0.763 (#5) AdjO 76.3 | AdjD 63.4
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†’ 0.857 (#15) 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†’ 0.852 (#12) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 35 More โ†’ 1306 (#14) RD 104 | GP 35

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs McNeese Cowboys W 81 - 53
2017-11-17 vs Drexel Dragons L 80 - 84
2017-11-18 @ Liberty Flames W 68 - 66
2017-11-19 @ Wake Forest Demon Deacons W 78 - 73
2017-11-25 vs Incarnate Word Cardinals W 97 - 58
2017-11-29 vs LSU New Orleans Privateers W 75 - 66
2017-12-02 vs Arkansas Razorbacks W 91 - 65
2017-12-06 vs Fairfield Stags W 88 - 66
2017-12-09 @ Saint Louis Billikens W 77 - 58
2017-12-13 @ LSU Tigers L 77 - 80
2017-12-17 vs Prairie View A&M Panthers W 92 - 72
2017-12-20 @ Providence Friars W 70 - 59
2017-12-28 @ South Florida Bulls W 79 - 60
2017-12-30 vs Temple Owls W 76 - 73
2018-01-04 @ Wichita State Shockers L 63 - 81
2018-01-11 vs Tulsa Golden Hurricane W 104 - 71
2018-01-14 @ East Carolina Pirates W 65 - 49
2018-01-17 @ Tulane Green Wave L 72 - 81
2018-01-20 vs Wichita State Shockers W 73 - 59
2018-01-28 vs South Florida Bulls W 63 - 40
2018-01-31 @ Cincinnati Bearcats L 70 - 80
2018-02-03 @ UCF Knights W 69 - 65
2018-02-08 vs SMU Mustangs W 67 - 58
2018-02-11 vs Tulane Green Wave W 73 - 42
2018-02-15 vs Cincinnati Bearcats W 67 - 62
2018-02-18 @ Temple Owls W 80 - 59
2018-02-22 @ Memphis Tigers L 85 - 91
2018-02-25 vs East Carolina Pirates W 109 - 58
2018-02-28 @ SMU Mustangs W 69 - 56
2018-03-04 vs UConn Huskies W 81 - 71
2018-03-09 vs UCF Knights W 84 - 56
2018-03-10 @ Wichita State Shockers W 77 - 74
2018-03-11 @ Cincinnati Bearcats L 55 - 56
2018-03-15 vs San Diego State Aztecs W 67 - 65
2018-03-17 @ Michigan Wolverines L 63 - 64

2018 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%
R. Gray R. Gray G 33 31.7 19.2 3.7 4.3 1.1 0.1 2.3 7.9 18.3 269 30 9.0 12.6 45.4 37.9 74.8 1.78 102.8 52.3
C. Davis Jr. C. Davis Jr. G 34 30.0 13.0 3.0 2.4 0.9 0.0 1.4 5.1 12.9 295 31 9.5 14.0 43.9 40.8 81.0 1.91 115.7 58.1
Devin Davis Devin Davis F 34 26.1 11.0 6.3 1.3 0.6 0.7 1.1 4.2 14.6 248 31 8.0 13.6 46.2 0.0 70.6 3.12 112.7 46.2
Armoni Brooks Armoni Brooks - 34 20.3 9.4 3.6 0.5 0.8 0.4 0.4 4.0 10.2 222 31 7.2 15.8 45.3 46.1 90.9 1.86 112.5 62.4
Wes VanBeck Wes VanBeck G 28 17.2 6.3 2.8 1.1 0.5 0.1 1.1 1.1 8.5 142 26 5.5 14.4 43.8 37.0 81.2 0.3 225.4 59.4
F. White Jr. F. White Jr. NA 34 16.4 5.5 3.9 0.8 0.4 0.9 1.1 1.4 8.9 160 31 5.2 13.8 57.1 0 81.8 0.64 158.5 57.1
G. Robinson Jr. G. Robinson Jr. - 34 24.4 4.6 2.5 3.8 1.3 0.1 1.7 2.3 8.3 182 30 6.1 10.5 49.4 14.3 71.0 0.92 85.3 50.0
Breaon Brady Breaon Brady F 32 12.4 4.2 3.9 0.2 0.2 0.3 1.3 1.0 6.4 121 28 4.3 14.9 56.2 0 40.0 0.85 182.7 56.2
Nura Zanna Nura Zanna F 34 14.7 2.7 3.9 0.2 0.3 0.1 0.9 0.9 5.5 150 31 4.8 14.8 50.0 0 55.6 0.91 122.6 50.0
Gabe Grant Gabe Grant F 23 5.4 2.2 1.1 0.2 0.2 0.1 0.1 0.9 2.7 7 19 0.4 2.6 42.9 46.7 58.3 -2.69 95.1 59.5
Chris Harris Chris Harris C 22 7.4 1.7 1.9 0.0 0.0 0.5 0.5 0.7 3.0 37 21 1.8 10.2 68.8 0 18.8 -1.46 82.5 68.8
Valentine Sangoyomi Valentine Sangoyomi F 13 4.5 0.6 1.2 0.2 0.0 0.1 0.5 0.5 1.2 -6 13 -0.5 -4.3 33.3 0 75.0 -2.15 51.5 33.3
Mike Adewunmi Mike Adewunmi G 3 3.0 0.0 0.3 0.7 0.0 0.0 0.0 0.0 1.0 -5 13 -0.4 -5.6 0 0 0 -2.49 0 0
Cedrick Alley Cedrick Alley F 2 6.5 0.0 0.5 0.5 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 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