Seton Hall
2015 Team Stats (11 games)
64.2
PPG
72.5
Opp
-8.4
Margin
39.4%
FG%
30.0%
3P%
66.8%
FT%
34.3
RPG
10.9
APG
10.8
TO
-
Est. poss./game
69.9
Adj PPG
63.6
Adj Opp PPG
#77
Scoring Rank
Model Outputs
2014-2015
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 | 1017 (#159) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1087 (#100) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 914 (#291) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +7.2 (#75) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +1.3 (#148) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.516 (#163) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.790 (#74) | AdjNet +11.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.793 (#74) | AdjNet +11.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.640 (#77) | AdjO 69.9 | AdjD 63.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.447 (#236) | AdjO 66.2 | AdjD 68.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.587 (#121) | 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 โ | 0.549 (#143) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1062 (#121) | RD 136 | GP 31 |
2015 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sterling Gibbs
|
G | 26 | 33.2 | 15.7 | 1.9 | 3.6 | 1.2 | 0.0 | 2.0 | 6.4 | 14.0 | 9 | 22 | 0.4 | 0.5 | 40.1 | 38.9 | 58.9 | 0.05 | 106.4 | 50.6 |
Isaiah Whitehead
|
- | 18 | 28.1 | 11.7 | 4.1 | 3.7 | 1.2 | 0.6 | 3.6 | 4.4 | 13.3 | -7 | 18 | -0.4 | -0.6 | 41.2 | 38.9 | 53.8 | -1.05 | 123.1 | 50.0 |
Brandon Mobley
|
F | 26 | 24.3 | 9.8 | 5.2 | 0.6 | 0.7 | 1.2 | 1.0 | 4.7 | 11.8 | 21 | 23 | 0.9 | 1.6 | 36.4 | 22.0 | 86.7 | 0.6 | 95.4 | 40.1 |
Angel Delgado
|
C | 27 | 27.6 | 9.4 | 9.8 | 0.9 | 0.5 | 1.3 | 1.2 | 3.9 | 16.9 | 27 | 24 | 1.1 | 1.8 | 55.7 | 0.0 | 46.7 | 3.23 | 101.0 | 55.7 |
Khadeen Carrington
|
G | 27 | 24.6 | 8.8 | 2.7 | 1.9 | 0.7 | 0.2 | 1.5 | 4.2 | 8.7 | 25 | 24 | 1.0 | 1.8 | 37.2 | 30.8 | 82.1 | 3.38 | 86.1 | 40.7 |
Jaren Sina
|
G | 22 | 31.9 | 7.3 | 2.5 | 2.4 | 0.4 | 0.0 | 1.5 | 3.2 | 8.0 | 46 | 17 | 2.7 | 3.7 | 25.7 | 25.9 | 69.2 | 0.52 | 105.7 | 35.7 |
Desi Rodriguez
|
F | 27 | 16.6 | 5.3 | 4.4 | 0.5 | 0.8 | 0.3 | 0.7 | 2.7 | 7.8 | -18 | 24 | -0.8 | -2.1 | 42.5 | 12.5 | 63.9 | -0.94 | 79.9 | 43.2 |
Haralds Karlis
|
G | 24 | 11.8 | 3.2 | 0.7 | 0.3 | 0.2 | 0.0 | 0.9 | 1.4 | 2.2 | -33 | 21 | -1.6 | -5.5 | 50.0 | 42.3 | 80.0 | -1.79 | 100.3 | 66.2 |
Stephane Manga
|
F | 20 | 11.8 | 2.2 | 1.5 | 0.2 | 0.3 | 0.3 | 1.1 | 1.6 | 2.0 | -59 | 15 | -3.9 | -12.9 | 29.0 | 12.5 | 33.3 | -2.73 | 69.6 | 30.6 |
Rashed Anthony
|
C | 26 | 9.3 | 1.0 | 1.5 | 0.1 | 0.2 | 0.4 | 0.5 | 0.2 | 2.5 | -28 | 23 | -1.2 | -6.4 | 100.0 | 0 | 57.1 | -2.07 | 160.9 | 100.0 |
Ismael Sanogo
|
F | 17 | 5.6 | 0.5 | 1.1 | 0.1 | 0.2 | 0.5 | 0.3 | 0.4 | 1.6 | 13 | 11 | 1.2 | 11.5 | 28.6 | 0.0 | 100.0 | 0.98 | 60.5 | 28.6 |
Chier Ajou
|
C | 8 | 4.2 | 0.4 | 1.2 | 0.1 | 0.1 | 0.1 | 0.0 | 0.1 | 1.9 | -11 | 6 | -1.8 | -24.5 | 0.0 | 0 | 0 | -2.26 | 150.0 | 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