NJIT
2026-2027 Team Stats (4 games)
59.5
PPG
50.8
Opp
+8.8
Margin
38.5%
FG%
24.1%
3P%
63.6%
FT%
36.8
RPG
9.3
APG
14.8
TO
68.0
Est. poss./game
57.1
Adj PPG
55.2
Adj Opp PPG
#143
Scoring Rank
Model Outputs
2026-2027
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 → | 1128 (#103) | Preseason prior 1053 (returning production + recruiting): last season 1045, returning +66, transfers -58, freshmen +0 |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1093 (#98) | HCA +169 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1093 (#98) | HCA +169 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.4 (#170) | HCA +1.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.4 (#171) | HCA +1.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.739 (#104) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.542 (#142) | AdjNet +1.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.612 (#126) | AdjNet +4.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.550 (#143) | AdjO 57.1 | AdjD 55.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.550 (#143) | AdjO 57.1 | AdjD 55.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.602 (#122) | 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. More → | 0.602 (#122) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1114 (#89) | RD 171 | GP 4 |
| Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. More → | 0.636 (#116) | Chronological component blend with rest and venue. |
Rank through the season
League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.
Recency Ensemble
Log Adjusted
Elo
Points Off/Def Recency
2026-2027 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-11-02 | vs | Rider Broncs | W | 50 - 45 |
| 2026-11-05 | vs | Merrimack Warriors | W | 57 - 35 |
| 2026-11-08 | @ | Marist Red Foxes | W | 67 - 63 |
| 2026-11-11 | @ | Lafayette Leopards | W | 64 - 60 |
| 2026-11-14 | @ | Dartmouth Big Green | - | Preview |
| 2026-11-18 | vs | Delaware State Hornets | - | Preview |
| 2026-11-21 | @ | Marquette Golden Eagles | - | Preview |
2026-2027 Roster
Estimated Minutes by Position
Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.
| 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marissa Gingrich
|
G | 4 | 30.8 | 17.0 | 1.5 | 1.5 | 1.8 | 0.0 | 2.2 | 15.0 | 4.5 | 15 | 4 | 3.8 | 5.8 | 40.0 | 30.0 | 68.8 | 0.98 | 50.7 | 47.5 |
Allison Cannon
|
G | 1 | 16.0 | 10.0 | 3.0 | 0.0 | 0.0 | 1.0 | 1.0 | 7.0 | 6.0 | 4 | 1 | 4.0 | 10.2 | 71.4 | 0 | 0 | -0.97 | 71.4 | 71.4 |
Mia Angeli Gestosani
|
G | 4 | 27.8 | 8.8 | 2.2 | 0.8 | 1.8 | 0.0 | 2.5 | 9.8 | 1.2 | 29 | 4 | 7.2 | 12.5 | 28.2 | 11.8 | 84.6 | 1.78 | 39.1 | 30.8 |
Ava Locklear
|
F | 4 | 26.0 | 8.5 | 8.2 | 1.5 | 1.2 | 2.0 | 2.0 | 7.5 | 12.0 | -8 | 4 | -2.0 | -3.8 | 36.7 | 0.0 | 54.5 | -2.96 | 42.8 | 36.7 |
Piper Engelby
|
G | 4 | 27.0 | 7.2 | 2.2 | 0.0 | 0.2 | 0.5 | 1.2 | 5.5 | 3.5 | 20 | 4 | 5.0 | 9.2 | 40.9 | 42.1 | 75.0 | 1.05 | 61.0 | 59.1 |
Kate Donovan
|
G | 4 | 14.8 | 4.2 | 4.0 | 1.0 | 1.0 | 0.0 | 0.8 | 4.8 | 4.8 | -13 | 4 | -3.2 | -11.4 | 36.8 | 0.0 | 50.0 | -3.4 | 39.3 | 36.8 |
Mackenzie Wright-Rawls
|
F | 4 | 18.2 | 3.8 | 4.8 | 2.0 | 0.2 | 0.2 | 1.2 | 2.5 | 7.2 | 11 | 4 | 2.8 | 7.2 | 60.0 | 0 | 75.0 | 0.1 | 63.8 | 60.0 |
Madilyn Dogs
|
G | 4 | 26.2 | 3.5 | 6.2 | 1.2 | 1.0 | 0.8 | 2.0 | 3.5 | 7.2 | 7 | 4 | 1.8 | 3.1 | 42.9 | 0.0 | 33.3 | -2.55 | 42.1 | 42.9 |
Olivia O'Meally
|
F | 4 | 11.0 | 2.0 | 1.0 | 0.8 | 0.2 | 0.2 | 1.2 | 2.0 | 1.0 | 27 | 4 | 6.8 | 26.9 | 25.0 | 0.0 | 66.7 | 1.37 | 37.6 | 25.0 |
Matilde Baron
|
G | 2 | 5.5 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 1.0 | 9 | 2 | 4.5 | 59.5 | 50.0 | 100.0 | 0 | 0.44 | 75.0 | 75.0 |
Addison Shen
|
G | 2 | 6.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | 2 | 2 | 1.0 | 10.1 | 100.0 | 0 | 0 | -0.69 | 100.0 | 100.0 |
Carly Sweazie
|
G | 4 | 8.2 | 0.8 | 1.2 | 0.5 | 0.5 | 0.0 | 0.5 | 1.5 | 1.0 | 7 | 4 | 1.8 | 10.8 | 16.7 | 16.7 | 0 | 0.23 | 25.0 | 25.0 |
Marina Bravo
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Lauren Lee
|
F | 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
2026-2027 Shot Zones
218 located field-goal attempts in 4 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).
Marissa GingrichPiper EngelbyMia Angeli GestosaniAva LocklearMadilyn Dogs
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 32-54 | 59.3 | 64 | Marissa Gingrich 22% (14 pts) | Mia Angeli Gestosani 22% (14 pts) | Marissa Gingrich 23% (5 misses) | Ava Locklear 14% (3 misses) |
| Paint (non-RA) | 27-64 | 42.2 | 54 | Marissa Gingrich 22% (12 pts) | Ava Locklear 19% (10 pts) | Mia Angeli Gestosani 22% (8 misses) | Kate Donovan 19% (7 misses) |
| Mid-range left | 0-4 | 0.0 | 0 | - | - | Ava Locklear 25% (1 misses) | Kate Donovan 25% (1 misses) |
| Mid-range center | 1-3 | 33.3 | 2 | Ava Locklear 100% (2 pts) | - | Marissa Gingrich 50% (1 misses) | Mia Angeli Gestosani 50% (1 misses) |
| Mid-range right | 3-6 | 50.0 | 6 | Marissa Gingrich 67% (4 pts) | Kate Donovan 33% (2 pts) | Ava Locklear 67% (2 misses) | Marissa Gingrich 33% (1 misses) |
| Left corner 3 | 2-10 | 20.0 | 6 | Mia Angeli Gestosani 50% (3 pts) | Piper Engelby 50% (3 pts) | Marissa Gingrich 38% (3 misses) | Mia Angeli Gestosani 38% (3 misses) |
| Right corner 3 | 3-6 | 50.0 | 9 | Marissa Gingrich 67% (6 pts) | Mia Angeli Gestosani 33% (3 pts) | Madilyn Dogs 33% (1 misses) | Mia Angeli Gestosani 33% (1 misses) |
| Above-break 3 left | 4-27 | 14.8 | 12 | Piper Engelby 50% (6 pts) | Carly Sweazie 25% (3 pts) | Marissa Gingrich 30% (7 misses) | Mia Angeli Gestosani 22% (5 misses) |
| Above-break 3 center | 1-13 | 7.7 | 3 | Piper Engelby 100% (3 pts) | - | Marissa Gingrich 50% (6 misses) | Mia Angeli Gestosani 25% (3 misses) |
| Above-break 3 right | 11-31 | 35.5 | 33 | Marissa Gingrich 55% (18 pts) | Piper Engelby 36% (12 pts) | Ava Locklear 25% (5 misses) | Marissa Gingrich 25% (5 misses) |