Long Island University Sharks
2026 Team Stats (33 games)
73.5
PPG
71.8
Opp
+1.7
Margin
47.3%
FG%
36.0%
3P%
66.8%
FT%
34.6
RPG
13.7
APG
12.9
TO
78.7
Pace
71.6
AdjO
75.5
AdjD
#220
Rank
Model Outputs
2025-2026
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 → | 1163 (#64) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1029 (#151) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1136 (#28) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.6 (#216) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.2 (#217) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.575 (#129) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.335 (#215) | NetEff -5.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.363 (#220) | AdjNet -4.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.359 (#221) | AdjNet -5.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.413 (#220) | AdjO 71.6 | AdjD 75.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.557 (#173) | AdjO 72.5 | AdjD 70.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.764 (#168) | 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 → | 0.735 (#159) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1122 (#118) | RD 116 | GP 33 |
2026 Schedule & Results
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Fuller
|
G | 32 | 34.1 | 16.4 | 5.6 | 2.7 | 1.1 | 1.1 | 2.2 | 10.7 | 14.1 | 42 | 1.9 | 2.9 | 51.6 | 41.3 | 77.0 | 0.47 | 63.9 | 58.9 |
G. Gordon
|
- | 33 | 34.2 | 13.9 | 5.3 | 3.0 | 1.7 | 0.8 | 1.9 | 11.0 | 11.8 | -8 | -0.4 | -0.5 | 56.2 | 21.4 | 41.8 | -0.24 | 55.9 | 57.0 |
M. Davis
|
G | 33 | 30.5 | 13.5 | 3.3 | 3.2 | 1.1 | 0.1 | 2.7 | 12.5 | 6.0 | -8 | -0.3 | -0.5 | 40.6 | 32.3 | 60.5 | -0.33 | 48.4 | 45.9 |
Jomo Goings
|
- | 33 | 30.6 | 9.9 | 4.5 | 2.3 | 1.3 | 0.6 | 2.2 | 8.0 | 8.4 | 14 | 0.6 | 1.0 | 40.4 | 37.1 | 86.5 | 0.1 | 53.8 | 47.2 |
Mason Porter-Brown
|
- | 33 | 20.3 | 7.9 | 3.3 | 0.7 | 0.8 | 0.4 | 1.0 | 5.5 | 6.6 | -41 | -1.9 | -5.0 | 46.1 | 40.9 | 71.8 | -0.47 | 60.7 | 56.7 |
S. Lasu
|
F | 31 | 23.0 | 5.2 | 5.4 | 0.4 | 0.3 | 1.4 | 0.8 | 3.8 | 8.1 | -16 | -0.7 | -1.6 | 53.0 | 42.9 | 64.4 | -0.1 | 59.2 | 56.8 |
I. Miranda
|
F | 12 | 8.6 | 4.0 | 1.6 | 0.2 | 0.2 | 0.9 | 0.7 | 3.8 | 2.4 | -57 | -5.2 | -25.9 | 41.3 | 16.7 | 66.7 | -0.84 | 46.8 | 43.5 |
F. Meran
|
- | 16 | 14.4 | 3.4 | 1.1 | 1.1 | 0.7 | 0.4 | 0.9 | 2.8 | 3.0 | -21 | -1.3 | -3.8 | 40.9 | 39.3 | 58.3 | -0.08 | 54.8 | 53.4 |
C. Johnson
|
- | 22 | 11.3 | 2.5 | 2.1 | 0.5 | 0.7 | 0.3 | 0.3 | 2.0 | 3.9 | 31 | 2.8 | 35.0 | 51.2 | 0.0 | 75.0 | -0.28 | 56.0 | 51.2 |
A.J. Neal Jr.
|
- | 14 | 8.0 | 2.0 | 0.4 | 0.8 | 0.3 | 0.1 | 0.6 | 1.6 | 1.4 | -17 | -1.7 | -9.5 | 43.5 | 50.0 | 66.7 | -0.12 | 54.6 | 52.2 |
T. Sheppard
|
G | 24 | 9.3 | 1.8 | 2.6 | 0.3 | 0.3 | 0.4 | 0.4 | 1.5 | 3.5 | 4 | 0.2 | 0.8 | 51.4 | 20.0 | 45.5 | -0.07 | 52.6 | 52.7 |
Eddie Munyak
|
G | 2 | 1.5 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | 0 | 0.0 | 0.0 | 100.0 | 100.0 | 0 | -0.0 | 150.0 | 150.0 |
Max Ndlovu-Fraser
|
G | 7 | 7.9 | 0.7 | 0.6 | 0.6 | 0.4 | 0.0 | 0.6 | 1.0 | 0.7 | 0 | 0.0 | 0.0 | 28.6 | 33.3 | 0 | -0.0 | 35.7 | 35.7 |
X. Li
|
F | 8 | 3.6 | 0.6 | 0.8 | 0.0 | 0.0 | 0.1 | 0.5 | 0.9 | 0.1 | -4 | -2.0 | -24.9 | 28.6 | 33.3 | 0 | -0.06 | 35.7 | 35.7 |
G. Pendergast
|
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