๐Ÿปโฌ‡๏ธ๐Ÿ€

UConn

Also known as: UConn Huskies, UConn
Program History

2016 Team Stats (12 games)

74.4
PPG
71.3
Opp
+3.1
Margin
43.8%
FG%
39.1%
3P%
81.3%
FT%
34.0
RPG
12.6
APG
10.7
TO
-
Est. poss./game
74.6
Adj PPG
60.2
Adj Opp PPG
#26
Scoring Rank

Model Outputs

2015-2016
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†’ 1311 (#31) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1226 (#36) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1124 (#33) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +15.3 (#26) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +15.0 (#23) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.835 (#20) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.4 More โ†’ 0.930 (#23) AdjNet +22.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.6 More โ†’ 0.932 (#23) AdjNet +22.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.6 | AdjD 60.2 More โ†’ 0.788 (#26) AdjO 74.6 | AdjD 60.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.2 | AdjD 62.9 More โ†’ 0.718 (#23) AdjO 73.2 | AdjD 62.9
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†’ 0.835 (#21) 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†’ 0.825 (#22) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 36 More โ†’ 1235 (#36) RD 102 | GP 36

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Maine Black Bears W 100 - 56
2015-11-17 vs New Hampshire Wildcats W 85 - 66
2015-11-21 vs Furman Paladins W 83 - 58
2015-11-25 @ Michigan Wolverines W 74 - 60
2015-11-26 vs Syracuse Orange L 76 - 79
2015-11-27 @ Gonzaga Bulldogs L 70 - 73
2015-12-02 vs Sacred Heart Pioneers W 82 - 49
2015-12-08 vs Maryland Terrapins L 66 - 76
2015-12-12 vs Ohio State Buckeyes W 75 - 55
2015-12-20 vs UMass Lowell River Hawks W 88 - 79
2015-12-23 vs Central Connecticut Blue Devils W 99 - 52
2015-12-29 @ Texas Longhorns W 71 - 66
2016-01-02 @ Tulane Green Wave W 75 - 67
2016-01-05 vs Temple Owls L 53 - 55
2016-01-09 vs Memphis Tigers W 81 - 78
2016-01-14 @ Tulsa Golden Hurricane L 51 - 60
2016-01-17 @ Houston Cougars W 69 - 57
2016-01-19 vs Tulane Green Wave W 60 - 42
2016-01-23 vs Georgetown Hoyas W 68 - 62
2016-01-28 vs Cincinnati Bearcats L 57 - 58
2016-01-31 @ UCF Knights W 67 - 41
2016-02-04 @ Memphis Tigers W 77 - 57
2016-02-07 vs East Carolina Pirates W 85 - 67
2016-02-11 @ Temple Owls L 58 - 63
2016-02-13 vs Tulsa Golden Hurricane W 75 - 73
2016-02-18 vs SMU Mustangs W 68 - 62
2016-02-20 @ Cincinnati Bearcats L 60 - 65
2016-02-25 @ South Florida Bulls W 81 - 51
2016-02-28 vs Houston Cougars L 68 - 75
2016-03-03 @ SMU Mustangs L 54 - 80
2016-03-06 vs UCF Knights W 67 - 46
2016-03-11 @ Cincinnati Bearcats W 104 - 97
2016-03-12 @ Temple Owls W 77 - 62
2016-03-13 vs Memphis Tigers W 72 - 58
2016-03-17 @ Colorado Buffaloes W 74 - 67
2016-03-19 @ Kansas Jayhawks L 61 - 73

2016 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%
Daniel Hamilton Daniel Hamilton - 30 33.0 13.3 9.1 4.5 1.1 0.5 2.2 5.8 20.4 154 28 5.5 7.7 36.8 30.5 80.7 -0.27 100.2 42.0
Rodney Purvis Rodney Purvis G 30 29.5 13.2 3.1 2.0 0.9 0.1 1.6 5.1 12.6 234 28 8.4 13.0 44.7 43.4 67.7 4.59 119.2 55.6
Sterling Gibbs Sterling Gibbs G 30 33.5 12.5 2.3 2.3 0.9 0.0 1.6 4.4 12.0 144 28 5.1 7.0 39.8 41.1 86.7 -1.33 117.3 54.5
Shonn Miller Shonn Miller F 30 25.9 11.4 4.9 0.5 0.8 0.8 0.5 3.6 14.3 178 28 6.4 11.2 48.6 18.2 79.5 3.41 135.7 49.5
Jalen Adams Jalen Adams G 30 23.7 7.5 2.6 2.3 1.0 0.5 1.8 3.1 9.1 139 28 5.0 9.4 36.6 35.3 100.0 0.12 109.6 39.8
Amida Brimah Amida Brimah C 21 21.4 6.3 4.7 0.1 0.1 2.6 0.8 1.8 11.3 167 20 8.3 16.6 67.6 0 75.0 5.94 149.9 67.6
Omar Calhoun Omar Calhoun G 30 13.4 3.4 1.4 0.7 0.3 0.2 0.5 1.3 4.3 83 28 3.0 9.2 50.0 47.8 84.6 1.25 117.8 64.5
Kentan Facey Kentan Facey F 29 12.6 2.6 3.0 0.3 0.2 0.9 0.8 0.9 5.4 113 28 4.0 14.5 52.0 0 100.0 2.33 142.5 52.0
Phillip Nolan Phillip Nolan F 27 10.3 1.6 1.6 0.2 0.1 0.3 0.4 0.8 2.4 24 25 1.0 4.5 45.5 0 66.7 0.25 87.3 45.5
S. Cassell Jr. S. Cassell Jr. G 15 4.7 1.5 0.2 0.1 0.0 0.1 0.2 0.6 1.1 20 16 1.2 9.4 33.3 25.0 100.0 -1.62 121.8 44.4
Steven Enoch Steven Enoch C 21 7.1 1.5 1.4 0.0 0.0 0.1 0.3 0.4 2.4 11 22 0.5 2.9 33.3 0 33.3 -2.61 155.0 33.3
Nnamdi Amilo Nnamdi Amilo F 6 1.0 0.3 0.5 0.0 0.0 0.0 0.0 0.0 0.8 -8 8 -1.0 -29.4 0 0 0 -2.71 0 0
Christian Foxen Christian Foxen F 6 0.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -13 8 -1.6 -51.6 0 0 0 -3.58 0 0
Mike Noyes Mike Noyes G 6 0.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -11 8 -1.4 -46.7 0 0 0 -2.98 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