Seton Hall
2026 Team Stats (32 games)
70.1
PPG
65.3
Opp
+4.8
Margin
43.7%
FG%
30.9%
3P%
72.1%
FT%
35.5
RPG
13.0
APG
11.1
TO
77.9
Pace
73.7
AdjO
61.1
AdjD
#53
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 → | 1104 (#91) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1128 (#82) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1040 (#122) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#339) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.8 (#52) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.7 (#46) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.3 (#435) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.700 (#68) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.285 (#243) | NetEff -7.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.881 (#51) | AdjNet +17.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.884 (#52) | AdjNet +17.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.760 (#53) | AdjO 73.7 | AdjD 61.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.629 (#88) | AdjO 69.6 | AdjD 63.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.486 (#306) | AdjO 73.1 | AdjD 73.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.891 (#56) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.371 (#421) | 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 → | 0.858 (#57) | 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 → | 0.392 (#407) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1187 (#72) | RD 128 | GP 32 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 878 (#558) | RD 350 | GP 1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Clark
|
- | 32 | 30.7 | 12.8 | 3.0 | 5.0 | 2.0 | 0.1 | 2.7 | 10.8 | 9.3 | -109 | -4.7 | -7.0 | 44.2 | 21.1 | 76.2 | -0.17 | 51.1 | 45.3 |
A.J. Staton-McCray
|
G | 32 | 27.4 | 11.7 | 3.2 | 1.3 | 1.5 | 0.6 | 1.3 | 10.3 | 6.6 | 122 | 5.5 | 10.1 | 40.7 | 34.2 | 85.7 | 0.88 | 52.6 | 48.8 |
TJ Simpkins
|
- | 32 | 25.3 | 9.8 | 2.8 | 1.2 | 1.1 | 0.5 | 1.1 | 7.4 | 6.8 | 76 | 3.5 | 7.0 | 40.1 | 37.8 | 77.5 | 0.21 | 54.8 | 47.9 |
M. Williams III
|
- | 32 | 20.8 | 7.0 | 2.6 | 1.5 | 1.0 | 0.1 | 1.0 | 6.3 | 4.9 | 63 | 2.9 | 6.8 | 37.1 | 34.0 | 75.9 | 0.65 | 49.4 | 45.0 |
E. Fisher
|
- | 32 | 20.4 | 6.3 | 2.8 | 0.8 | 0.9 | 0.6 | 0.7 | 5.3 | 5.3 | 102 | 4.6 | 10.3 | 45.0 | 23.5 | 68.3 | 0.88 | 51.6 | 47.3 |
Najai Hines
|
- | 30 | 18.1 | 6.3 | 5.6 | 0.6 | 0.4 | 2.2 | 0.8 | 4.2 | 10.0 | 75 | 3.8 | 10.2 | 59.1 | 0 | 68.4 | 0.75 | 62.1 | 59.1 |
S. Payne III
|
- | 32 | 20.2 | 5.9 | 6.5 | 0.5 | 0.8 | 1.2 | 0.7 | 4.4 | 9.8 | 10 | 2.5 | 37.7 | 52.1 | 0 | 51.9 | 0.12 | 53.5 | 52.1 |
T. Parker
|
G | 31 | 15.5 | 4.3 | 2.7 | 1.5 | 0.9 | 0.3 | 1.1 | 4.2 | 4.3 | 32 | 1.5 | 4.1 | 35.1 | 19.0 | 80.0 | 0.12 | 44.4 | 38.2 |
J. Rivera
|
F | 29 | 11.8 | 3.4 | 1.9 | 0.5 | 0.3 | 0.1 | 0.3 | 2.8 | 3.1 | 59 | 3.1 | 12.4 | 51.2 | 40.0 | 53.6 | 0.76 | 53.6 | 52.5 |
J. Dar
|
- | 30 | 10.2 | 3.3 | 1.9 | 0.3 | 0.3 | 0.3 | 0.3 | 2.5 | 3.3 | 13 | 0.6 | 2.9 | 50.0 | 19.0 | 76.9 | -0.11 | 57.4 | 52.7 |
J. Felton
|
G | 3 | 14.0 | 1.7 | 1.3 | 0.3 | 0.7 | 0.0 | 0.3 | 2.7 | 1.0 | 9 | 3.0 | 9.0 | 12.5 | 0.0 | 75.0 | 0.11 | 25.6 | 12.5 |
G. Erheriene
|
C | 10 | 4.5 | 0.8 | 0.7 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.5 | -15 | -1.5 | -29.4 | 60.0 | 0 | 66.7 | -0.27 | 63.3 | 60.0 |
P. Suemnick
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
D. Gabriel
|
- | 6 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | -0.3 | -2 | -0.5 | -31.4 | 0.0 | 0.0 | 0 | 0.05 | 0.0 | 0.0 |
A. Mbaye
|
- | 5 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | -2 | -0.5 | -21.2 | 0.0 | 0 | 0 | -0.03 | 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