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NJIT

Also known as: NJIT Highlanders
Program History

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†’ 808 (#286) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 835 (#292) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 915 (#290) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -8.3 (#286) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -10.8 (#313) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.286 (#278) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.8 More โ†’ 0.205 (#286) AdjNet -11.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.8 More โ†’ 0.203 (#286) AdjNet -11.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.5 | AdjD 74.2 More โ†’ 0.332 (#286) AdjO 66.5 | AdjD 74.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.4 | AdjD 73.7 More โ†’ 0.341 (#315) AdjO 66.4 | AdjD 73.7
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†’ 0.281 (#295) 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†’ 0.283 (#297) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 165 | GP 29 More โ†’ 846 (#273) RD 165 | GP 29

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Sarah Lawrence Gryphons W 100 - 38
2016-11-14 @ Utah State Aggies L 84 - 93
2016-11-17 @ Lafayette Leopards L 83 - 84
2016-11-19 vs Colgate Raiders W 74 - 68
2016-11-22 @ Georgia State Panthers L 53 - 74
2016-11-23 vs Idaho State Bengals W 71 - 67
2016-11-26 @ Purdue Boilermakers L 68 - 79
2016-11-30 vs Saint Francis Red Wolves W 83 - 70
2016-12-03 @ UMass Lowell River Hawks W 75 - 74
2016-12-06 @ Minnesota Golden Gophers L 68 - 74
2016-12-10 @ Kent State Golden Flashes L 71 - 87
2016-12-14 @ Iona Gaels L 80 - 94
2016-12-17 @ Temple Owls L 63 - 68
2016-12-22 vs Dean Bulldogs W 92 - 50
2016-12-28 @ Stony Brook Seawolves W 64 - 61
2017-01-04 vs Brown Bears W 75 - 73
2017-01-07 @ South Carolina Upstate Spartans L 65 - 75
2017-01-12 vs Jacksonville Dolphins L 81 - 82
2017-01-14 vs North Florida Ospreys W 84 - 78
2017-01-19 @ Stetson Hatters L 76 - 82
2017-01-21 @ Florida Gulf Coast Eagles L 71 - 84
2017-01-25 @ Kennesaw State Owls L 65 - 71
2017-01-28 vs Lipscomb Bisons L 62 - 66
2017-01-30 vs Kennesaw State Owls L 53 - 54
2017-02-04 @ Lipscomb Bisons L 63 - 87
2017-02-09 @ North Florida Ospreys L 69 - 91
2017-02-11 @ Jacksonville Dolphins L 73 - 76
2017-02-16 vs Florida Gulf Coast Eagles L 73 - 80
2017-02-18 vs Stetson Hatters W 60 - 56
2017-02-23 vs South Carolina Upstate Spartans W 88 - 87
2017-02-27 @ Lipscomb Bisons L 66 - 97

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%
Damon Lynn Damon Lynn G 11 36.9 22.4 2.4 4.1 1.7 0.1 2.6 1.3 26.7 - - - - 50.0 46.2 100.0 - 780.5 71.4
Tim Coleman Tim Coleman G 16 28.4 14.2 6.9 2.4 1.6 1.1 2.2 1.2 22.7 - - - - 45.0 75.0 66.7 - 532.4 52.5
Rob Ukawuba Rob Ukawuba G 16 26.2 9.5 3.8 1.4 0.4 0.2 2.0 0.9 12.4 - - - - 57.1 0.0 53.8 - 385.4 57.1
Abdul Lewis Abdul Lewis F 16 27.2 8.4 8.2 1.4 0.6 0.6 2.4 0.8 16.0 - - - - 30.8 0.0 66.7 - 398.0 30.8
Anthony Tarke Anthony Tarke G 16 22.3 8.2 4.5 1.0 1.4 0.6 2.0 0.9 12.7 - - - - 46.7 50.0 75.0 - 390.8 60.0
Osa Izevbuwa Osa Izevbuwa G 13 17.8 5.8 1.4 0.5 0.7 0.0 0.8 0.8 6.8 - - - - 30.0 14.3 0.0 - 359.2 35.0
Chris Jenkins Chris Jenkins G 15 17.1 4.8 1.1 0.5 0.3 0.0 0.5 0.3 5.9 - - - - 20.0 25.0 0 - 720.0 30.0
Reilly Walsh Reilly Walsh G 9 16.7 3.6 1.6 0.6 0.6 0.1 0.9 1.1 4.3 - - - - 50.0 66.7 0.0 - 153.3 70.0
Shyquan Gibbs Shyquan Gibbs G 16 17.4 2.4 1.0 0.9 0.3 0.0 0.9 0.0 3.8 - - - - 0 0 0 - 0 0
Mohamed Bendary Mohamed Bendary F 15 9.8 1.8 2.0 0.3 0.0 0.3 0.7 0.3 3.5 - - - - 75.0 0 0 - 337.5 75.0
Donovan Greer Donovan Greer G 2 14.0 1.5 1.0 1.5 1.0 0.0 1.5 2.5 1.0 - - - - 0.0 0.0 0 - 30.0 0.0
Ron Alston Ron Alston - 10 4.7 0.7 0.5 0.1 0.0 0.0 0.0 0.3 1.0 - - - - 33.3 0.0 0 - 116.7 33.3
Taj Price Taj Price F 8 2.0 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 - - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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