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NJIT Highlanders

Also known as: NJIT Highlanders
Program History

2026 Team Stats (32 games)

65.4
PPG
62.9
Opp
+2.5
Margin
44.6%
FG%
32.5%
3P%
66.3%
FT%
36.6
RPG
12.4
APG
15.5
TO
67.2
Est. poss./game
65.2
Adj PPG
67.0
Adj Opp PPG
#182
Scoring Rank

Model Outputs

2025-2026
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†’ 1091 (#135) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1095 (#115) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +106 elo More โ†’ 1068 (#99) HCA +106 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -2.8 (#194) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +1.4 (#152) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.612 (#134) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.6 More โ†’ 0.612 (#134) NetEff +3.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.0 More โ†’ 0.386 (#196) AdjNet -4.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.3 More โ†’ 0.377 (#196) AdjNet -4.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.2 | AdjD 67.0 More โ†’ 0.460 (#182) AdjO 65.2 | AdjD 67.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.0 | AdjD 62.1 More โ†’ 0.566 (#118) AdjO 65.0 | AdjD 62.1
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†’ 0.521 (#160) 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†’ 0.542 (#150) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 115 | GP 32 More โ†’ 1060 (#136) RD 115 | GP 32

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Sacred Heart Pioneers W 64 - 51
2025-11-07 @ Fordham Rams W 82 - 78
2025-11-11 vs Wagner Seahawks W 78 - 58
2025-11-14 @ Minnesota Golden Gophers L 39 - 88
2025-11-16 @ St. Thomas Tommies W 68 - 63
2025-11-19 vs Saint Peter's Peacocks W 81 - 33
2025-11-22 vs Drexel Dragons W 73 - 66
2025-11-25 vs Fairleigh Dickinson Knights L 43 - 71
2025-11-30 vs Lafayette Leopards W 71 - 60
2025-12-03 @ Monmouth Hawks L 68 - 77
2025-12-07 vs Manhattan Jaspers W 71 - 54
2025-12-11 vs Dartmouth Big Green L 60 - 61
2025-12-29 @ Delaware State Hornets W 75 - 62
2026-01-01 @ UMBC Retrievers W 80 - 75
2026-01-03 vs Binghamton Bearcats L 71 - 75
2026-01-08 @ New Hampshire Wildcats W 69 - 62
2026-01-10 @ Maine Black Bears L 67 - 86
2026-01-15 vs UMass Lowell River Hawks W 68 - 57
2026-01-17 @ Bryant Bulldogs W 78 - 65
2026-01-22 vs UMBC Retrievers L 51 - 52
2026-01-29 vs UAlbany Great Danes L 54 - 71
2026-01-31 vs Vermont Catamounts L 61 - 63
2026-02-05 @ UMass Lowell River Hawks W 69 - 60
2026-02-07 @ Binghamton Bearcats L 67 - 72
2026-02-12 vs New Hampshire Wildcats W 55 - 47
2026-02-14 vs Maine Black Bears W 63 - 42
2026-02-19 @ UAlbany Great Danes W 70 - 64
2026-02-21 @ Vermont Catamounts L 37 - 67
2026-02-28 vs Bryant Bulldogs W 75 - 42
2026-03-05 @ UMBC Retrievers L 65 - 66
2026-03-19 @ Merrimack Warriors W 68 - 65
2026-03-22 @ Army Black Knights L 52 - 59

2026 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%
Alejandra Zuniga Alejandra Zuniga G 26 33.2 17.8 3.8 3.9 1.2 0.2 4.1 15.2 7.7 76 23 3.3 4.3 40.9 28.7 67.5 0.02 50.3 45.8
Olivia Kulyk Olivia Kulyk G 31 34.9 14.6 5.0 1.2 0.7 1.2 1.6 12.5 8.6 133 28 4.8 5.8 45.5 37.3 77.4 2.42 56.4 55.3
Marissa Gingrich Marissa Gingrich G 27 30.7 10.9 4.1 2.0 0.9 0.3 2.5 9.2 6.5 117 23 5.1 6.8 46.0 31.5 74.3 1.22 56.0 54.2
Allison Cannon Allison Cannon G 32 29.1 9.1 3.6 3.0 1.6 0.6 2.7 6.6 8.5 94 28 3.4 4.8 56.6 28.6 77.2 -0.75 61.2 58.0
Ava Locklear Ava Locklear F 32 24.3 8.9 7.9 1.1 0.9 1.0 1.6 7.2 10.9 116 28 4.1 7.1 47.2 40.9 68.3 0.3 55.6 53.0
Madilyn Dogs Madilyn Dogs G 31 20.9 3.2 4.2 1.1 0.9 0.5 1.0 3.5 5.4 35 27 1.3 2.7 32.7 31.2 57.9 -3.29 39.1 35.0
Mackenzie Wright-Rawls Mackenzie Wright-Rawls F 27 10.4 2.0 1.3 0.6 0.4 0.6 0.5 1.7 2.7 58 23 2.5 10.2 43.5 0.0 51.7 0.42 46.8 43.5
Avery O'Roke Avery O'Roke G 20 6.7 1.6 0.7 0.1 0.1 0.0 0.3 1.2 0.9 14 17 0.8 4.5 54.2 33.3 40.0 0.3 61.1 62.5
Olivia O'Meally Olivia O'Meally F 28 8.5 1.3 1.5 0.4 0.2 0.2 0.5 1.4 1.7 22 25 0.9 5.0 36.8 33.3 50.0 -1.59 44.3 43.4
Kyleigh Welsh Kyleigh Welsh F 32 8.3 1.2 1.7 0.2 0.2 0.6 0.7 1.0 2.1 -20 28 -0.7 -3.8 58.1 0 28.6 -4.53 55.8 58.1
Mia Angeli Gestosani Mia Angeli Gestosani G 27 6.0 1.0 0.5 0.1 0.1 0.1 0.4 1.3 0.2 -2 21 -0.1 -0.6 33.3 23.5 0.0 -1.52 38.0 38.9
Piper Engelby Piper Engelby G 28 6.6 0.6 0.8 0.1 0.2 0.0 0.3 1.2 0.2 4 25 0.2 1.1 20.6 5.3 33.3 -1.26 23.2 22.1
Audrey Kormann Audrey Kormann F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Lauren Lee Lauren Lee F 3 1.0 0.0 0.0 0.0 0.0 0.0 0.3 0.3 -0.7 - - - - 0.0 0.0 0 -2.05 0.0 0.0
Addison Shen Addison Shen G 0 - 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

2025-2026 Shot Zones

1794 located field-goal attempts in 32 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Zuniga23% Cannon22% Kulyk50% Kulyk56% Kulyk60% Kulyk38% Kulyk30% Kulyk36% Kulyk29% Kulyk44%
Points: who the team's points here most likely come from
Zuniga27% Zuniga26% Kulyk43% Kulyk45% Kulyk45% Gingrich34% Gingrich20% Kulyk35% Zuniga32% Kulyk36%
Misses: who misses most here

Olivia KulykAlejandra ZunigaMarissa GingrichAllison Cannon

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 226-369 61.2 452 Alejandra Zuniga 23% (102 pts) Allison Cannon 18% (82 pts) Alejandra Zuniga 27% (38 misses) Ava Locklear 19% (27 misses)
Paint (non-RA) 318-657 48.4 636 Allison Cannon 22% (138 pts) Alejandra Zuniga 20% (130 pts) Alejandra Zuniga 26% (87 misses) Allison Cannon 18% (60 misses)
Mid-range left 20-43 46.5 40 Olivia Kulyk 50% (20 pts) Marissa Gingrich 15% (6 pts) Olivia Kulyk 43% (10 misses) Ava Locklear 17% (4 misses)
Mid-range center 9-20 45.0 18 Olivia Kulyk 56% (10 pts) Alejandra Zuniga 22% (4 pts) Olivia Kulyk 45% (5 misses) Alejandra Zuniga 27% (3 misses)
Mid-range right 20-64 31.2 40 Olivia Kulyk 60% (24 pts) Alejandra Zuniga 10% (4 pts) Olivia Kulyk 45% (20 misses) Alejandra Zuniga 14% (6 misses)
Left corner 3 24-62 38.7 72 Olivia Kulyk 38% (27 pts) Marissa Gingrich 25% (18 pts) Marissa Gingrich 34% (13 misses) Alejandra Zuniga 24% (9 misses)
Right corner 3 20-61 32.8 60 Olivia Kulyk 30% (18 pts) Ava Locklear 25% (15 pts) Marissa Gingrich 20% (8 misses) Olivia Kulyk 20% (8 misses)
Above-break 3 left 58-191 30.4 174 Olivia Kulyk 36% (63 pts) Alejandra Zuniga 26% (45 pts) Olivia Kulyk 35% (46 misses) Alejandra Zuniga 26% (35 misses)
Above-break 3 center 42-120 35.0 126 Olivia Kulyk 29% (36 pts) Ava Locklear 24% (30 pts) Alejandra Zuniga 32% (25 misses) Olivia Kulyk 19% (15 misses)
Above-break 3 right 64-207 30.9 192 Olivia Kulyk 44% (84 pts) Marissa Gingrich 23% (45 pts) Olivia Kulyk 36% (51 misses) Marissa Gingrich 22% (32 misses)