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UCF

Also known as: UCF Knights, UCF
Program History

2017 Team Stats (7 games)

59.9
PPG
62.1
Opp
-2.3
Margin
41.2%
FG%
35.2%
3P%
67.0%
FT%
36.4
RPG
10.0
APG
14.3
TO
-
Est. poss./game
68.6
Adj PPG
60.4
Adj Opp PPG
#67
Scoring Rank

Model Outputs

2016-2017
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†’ 1230 (#54) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1154 (#66) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1089 (#56) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +8.9 (#67) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +8.7 (#69) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.742 (#47) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.3 More โ†’ 0.838 (#62) AdjNet +14.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.4 More โ†’ 0.841 (#62) AdjNet +14.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.6 | AdjD 60.4 More โ†’ 0.679 (#67) AdjO 68.6 | AdjD 60.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.4 | AdjD 62.5 More โ†’ 0.610 (#63) AdjO 67.4 | AdjD 62.5
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†’ 0.750 (#54) 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†’ 0.739 (#54) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 89 | GP 36 More โ†’ 1211 (#47) RD 89 | GP 36

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-14 vs Nicholls Colonels W 80 - 56
2016-11-17 vs Mississippi State Bulldogs W 86 - 61
2016-11-18 @ Charleston Cougars W 60 - 40
2016-11-20 vs Villanova Wildcats L 57 - 67
2016-11-26 vs Seattle U Redhawks W 67 - 51
2016-11-30 vs Stetson Hatters W 81 - 45
2016-12-03 @ Massachusetts Minutemen W 65 - 62
2016-12-10 vs Maryland Eastern Shore Hawks W 76 - 58
2016-12-12 vs Pennsylvania Quakers L 49 - 58
2016-12-15 @ George Washington Revolutionaries L 59 - 74
2016-12-18 vs Miami (OH) RedHawks W 80 - 73
2016-12-21 vs Bethune-Cookman Wildcats W 71 - 41
2016-12-28 @ Tulane Green Wave W 85 - 72
2016-12-31 vs Temple Owls W 77 - 53
2017-01-03 vs East Carolina Pirates W 48 - 45
2017-01-08 @ UConn Huskies L 49 - 64
2017-01-14 vs Houston Cougars W 77 - 70
2017-01-17 vs South Florida Bulls W 86 - 64
2017-01-22 @ Memphis Tigers L 65 - 70
2017-01-25 vs SMU Mustangs L 60 - 65
2017-01-28 @ Tulsa Golden Hurricane L 66 - 77
2017-02-01 @ Houston Cougars L 64 - 82
2017-02-04 vs Memphis Tigers W 72 - 57
2017-02-08 @ Cincinnati Bearcats L 50 - 60
2017-02-11 vs UConn Huskies L 63 - 66
2017-02-14 vs Tulsa Golden Hurricane W 71 - 53
2017-02-18 @ East Carolina Pirates W 61 - 58
2017-02-22 @ Temple Owls W 71 - 69
2017-02-26 vs Cincinnati Bearcats W 53 - 49
2017-03-02 @ South Florida Bulls W 59 - 56
2017-03-10 vs Memphis Tigers W 84 - 54
2017-03-11 @ SMU Mustangs L 59 - 70
2017-03-15 vs Colorado Buffaloes W 79 - 74
2017-03-20 @ Illinois State Redbirds W 63 - 62
2017-03-22 vs Illinois Fighting Illini W 68 - 58
2017-03-28 vs TCU Horned Frogs L 53 - 68

2017 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%
B.J. Taylor B.J. Taylor G 21 36.1 16.7 3.9 3.5 1.0 0.0 1.9 6.1 17.1 134 27 5.0 5.8 41.9 36.0 73.8 1.32 119.0 48.8
Matt Williams Matt Williams G 27 36.4 15.0 4.2 1.6 0.7 0.0 1.7 5.6 14.3 203 34 6.0 7.0 33.3 34.6 86.4 3.62 126.8 45.7
Tacko Fall Tacko Fall - 27 26.0 11.0 9.9 0.6 0.2 2.7 2.6 2.5 19.2 188 34 5.5 8.9 70.1 0.0 52.6 1.25 177.4 70.1
Tanksley Efianayi Tanksley Efianayi G 25 25.4 8.3 3.8 1.3 0.4 0.1 2.0 3.1 8.9 163 33 4.9 8.7 40.3 35.7 75.7 1.3 111.5 46.8
A.J. Davis A.J. Davis F 23 33.3 7.8 7.2 2.3 0.9 0.3 2.3 3.2 13.0 133 29 4.6 6.1 27.0 21.7 65.1 1.61 96.9 30.4
Nick Banyard Nick Banyard F 27 28.2 6.2 6.1 1.7 0.4 0.2 2.1 2.2 10.4 103 34 3.0 4.6 38.3 47.6 75.0 -0.52 135.2 46.7
Chad Brown Chad Brown F 27 13.4 4.9 3.8 0.1 0.3 0.8 0.9 1.0 7.9 -27 34 -0.8 -2.6 60.7 0 68.8 -4.32 156.8 60.7
Djordjije Mumin Djordjije Mumin G 19 7.7 1.5 1.3 0.1 0.1 0.0 0.3 0.6 2.1 33 24 1.4 7.7 27.3 30.0 0 0.4 131.8 40.9
Nathan Laing Nathan Laing G 25 10.3 0.8 0.8 0.8 0.2 0.0 1.1 0.5 0.8 27 31 0.9 3.4 23.1 16.7 0 -3.57 73.1 26.9
Anthony Catotti Anthony Catotti - 4 1.5 0.5 0.2 0.0 0.0 0.0 0.0 0.0 0.8 - - - - 0 0 0 - 0 0
Brock Stephenson Brock Stephenson G 10 1.6 0.0 0.1 0.0 0.0 0.0 0.0 0.2 -0.1 -2 10 -0.2 -4.6 0.0 0.0 0 -1.31 0.0 0.0
Tate Morse Tate Morse G 2 2.0 0.0 0.0 0.5 0.0 0.0 0.0 1.0 -0.5 - - - - 0.0 0.0 0 -0.97 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