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NJIT

Also known as: NJIT Highlanders
Program History

2015 Team Stats (3 games)

72.3
PPG
77.7
Opp
-5.3
Margin
48.7%
FG%
51.8%
3P%
72.0%
FT%
27.0
RPG
16.3
APG
13.3
TO
-
Est. poss./game
67.2
Adj PPG
68.5
Adj Opp PPG
#186
Scoring Rank

Model Outputs

2014-2015
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†’ 1082 (#118) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1044 (#139) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 1089 (#58) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -1.6 (#187) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +1.7 (#144) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.536 (#148) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.8 More โ†’ 0.391 (#202) AdjNet -3.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.9 More โ†’ 0.389 (#202) AdjNet -3.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.2 | AdjD 68.5 More โ†’ 0.472 (#186) AdjO 67.2 | AdjD 68.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.1 | AdjD 67.6 More โ†’ 0.557 (#117) AdjO 70.1 | AdjD 67.6
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†’ 0.547 (#144) 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†’ 0.564 (#135) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 113 | GP 29 More โ†’ 1112 (#89) RD 113 | GP 29

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 @ St. John's Red Storm L 58 - 77
2014-11-17 vs Maine Black Bears W 90 - 86
2014-11-19 @ UAlbany Great Danes L 48 - 65
2014-11-22 vs UMass Lowell River Hawks L 61 - 63
2014-11-24 @ Marquette Golden Eagles L 57 - 62
2014-11-29 @ Duquesne Dukes W 84 - 81
2014-12-03 @ UMass Lowell River Hawks L 67 - 71
2014-12-06 @ Michigan Wolverines W 72 - 70
2014-12-09 vs St. Francis Brooklyn Terriers W 68 - 66
2014-12-12 @ Holy Cross Crusaders L 66 - 76
2014-12-14 @ Long Island University Sharks L 49 - 65
2014-12-20 @ Central Connecticut Blue Devils W 84 - 76
2014-12-23 @ Villanova Wildcats L 67 - 92
2014-12-28 @ Lafayette Leopards L 71 - 76
2014-12-30 vs Saint Francis Red Wolves W 77 - 65
2015-01-02 @ UMBC Retrievers W 70 - 55
2015-01-07 vs Maryland Eastern Shore Hawks W 69 - 60
2015-01-09 vs Yale Bulldogs W 78 - 71
2015-01-14 vs St. Joseph's Brooklyn Bears W 79 - 60
2015-01-17 @ Dartmouth Big Green L 53 - 62
2015-01-19 @ Maine Black Bears W 65 - 55
2015-01-25 @ South Alabama Jaguars W 72 - 55
2015-02-02 vs Hampton Pirates W 86 - 67
2015-02-03 vs Delaware State Hornets W 69 - 51
2015-02-07 vs Fisher Eagles W 96 - 70
2015-02-13 vs UAlbany Great Danes L 59 - 65
2015-02-16 vs Maine Fort Kent Bengals W 89 - 55
2015-02-28 vs Sarah Lawrence Gryphons W 90 - 55
2015-03-04 vs Howard Bison W 71 - 62
2015-03-16 vs New Hampshire Wildcats W 84 - 77
2015-03-23 vs Cleveland State Vikings W 80 - 77
2015-03-28 vs Canisius Golden Griffins W 78 - 73
2015-03-31 @ Northern Arizona Lumberjacks L 61 - 68

2015 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 30 36.4 17.1 2.9 3.7 1.9 0.1 2.7 4.7 18.3 98 22 4.5 5.3 32.9 33.7 86.7 -1.12 167.4 43.9
Winfield Willis Winfield Willis G 30 29.4 11.8 3.2 2.2 1.1 0.1 1.8 1.9 14.8 87 22 4.0 5.8 49.1 47.6 83.3 0.5 262.7 57.9
Tim Coleman Tim Coleman G 30 25.2 11.6 5.1 1.7 1.1 1.3 2.1 2.3 16.4 95 22 4.3 7.8 52.9 38.1 65.5 0.45 210.2 58.6
Ky Howard Ky Howard G 22 31.8 11.1 5.6 3.9 0.4 0.1 2.9 2.3 16.0 45 15 3.0 3.9 45.1 37.5 82.4 1.11 208.6 48.0
Rob Ukawuba Rob Ukawuba G 25 19.0 6.3 3.4 0.7 0.7 0.2 0.6 1.2 9.5 12 20 0.6 1.4 58.6 100.0 73.7 -2.96 210.1 65.5
Daquan Holiday Daquan Holiday F 30 18.6 5.7 4.5 0.9 0.7 1.5 1.0 0.9 11.4 98 22 4.5 10.3 60.7 0 66.7 1.67 238.0 60.7
Osa Izevbuwa Osa Izevbuwa G 29 13.3 4.1 1.2 0.6 0.3 0.0 0.9 1.4 3.9 11 22 0.5 1.7 47.6 52.6 57.1 -1.46 130.9 59.5
Odera Nweke Odera Nweke F 30 17.1 3.6 2.9 1.0 0.3 0.7 1.1 1.1 6.3 54 22 2.5 6.0 47.1 0 57.9 0.41 128.7 47.1
Vlad Shustov Vlad Shustov F 26 8.9 2.4 1.7 0.3 0.1 0.3 0.6 0.7 3.4 -7 17 -0.4 -1.9 47.1 25.0 50.0 -1.97 173.4 50.0
Montana Mayfield Montana Mayfield G 5 9.6 1.8 0.8 0.8 0.0 0.2 0.6 0.4 2.6 - - - - 0.0 0.0 100.0 -3.46 135.5 0.0
Emmanuel Tselentakis Emmanuel Tselentakis G 30 12.0 1.3 2.0 0.6 0.5 0.3 0.5 0.6 3.7 50 22 2.3 7.4 44.4 16.7 50.0 -0.31 105.9 47.2

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