Seton Hall
2014 Team Stats (7 games)
68.7
PPG
72.6
Opp
-3.9
Margin
43.3%
FG%
34.0%
3P%
78.4%
FT%
32.3
RPG
13.7
APG
11.4
TO
-
Est. poss./game
71.5
Adj PPG
65.5
Adj Opp PPG
#89
Scoring Rank
Model Outputs
2013-2014
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 | 1077 (#111) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1042 (#138) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 972 (#210) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +6.7 (#84) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +4.6 (#107) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.579 (#126) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.762 (#79) | AdjNet +10.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.765 (#79) | AdjNet +10.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.632 (#89) | AdjO 71.5 | AdjD 65.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.530 (#135) | AdjO 66.8 | AdjD 65.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.640 (#98) | 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 | 0.620 (#107) | 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 | 1106 (#100) | RD 127 | GP 34 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fuquan Edwin
|
G | 25 | 29.6 | 14.7 | 3.3 | 1.7 | 2.8 | 0.1 | 1.8 | 6.4 | 14.4 | 27 | 26 | 1.0 | 1.5 | 45.6 | 28.6 | 81.2 | 1.28 | 105.4 | 50.6 |
Sterling Gibbs
|
G | 27 | 30.3 | 12.9 | 3.1 | 4.3 | 1.1 | 0.0 | 2.0 | 4.4 | 14.9 | -14 | 29 | -0.5 | -0.7 | 38.3 | 31.0 | 67.4 | -0.91 | 110.2 | 43.8 |
E. Teague
|
C | 26 | 25.8 | 11.4 | 7.6 | 0.8 | 0.7 | 0.4 | 1.9 | 3.7 | 15.2 | 77 | 26 | 3.0 | 4.9 | 66.0 | 0 | 76.0 | 2.7 | 124.4 | 66.0 |
Brian Oliver
|
G | 27 | 25.6 | 9.4 | 3.0 | 1.0 | 0.9 | 0.3 | 1.1 | 4.7 | 8.8 | 48 | 29 | 1.7 | 2.7 | 38.3 | 39.8 | 81.2 | 1.15 | 94.4 | 55.1 |
Patrik Auda
|
F | 24 | 23.5 | 9.2 | 4.6 | 1.6 | 0.7 | 0.4 | 1.5 | 2.9 | 12.1 | 47 | 24 | 2.0 | 3.4 | 48.6 | 33.3 | 79.4 | 4.68 | 130.6 | 51.4 |
Brandon Mobley
|
F | 29 | 22.8 | 7.7 | 4.0 | 0.9 | 0.3 | 0.9 | 0.9 | 3.0 | 9.9 | 1 | 31 | 0.0 | 0.1 | 45.5 | 26.8 | 77.4 | -0.24 | 110.2 | 51.7 |
Jaren Sina
|
G | 29 | 26.8 | 6.0 | 1.4 | 2.5 | 0.4 | 0.0 | 1.5 | 2.2 | 6.6 | 74 | 31 | 2.4 | 3.9 | 28.1 | 23.7 | 80.0 | 0.36 | 123.9 | 35.2 |
Stephane Manga
|
F | 21 | 8.6 | 2.9 | 1.9 | 0.5 | 0.2 | 0.1 | 0.9 | 0.6 | 4.1 | -57 | 24 | -2.4 | -10.8 | 61.5 | 0.0 | 50.0 | -3.87 | 191.8 | 61.5 |
Aaron Geramipoor
|
F | 26 | 10.7 | 2.3 | 1.9 | 0.2 | 0.2 | 0.3 | 0.3 | 0.6 | 4.0 | -26 | 27 | -1.0 | -4.1 | 62.5 | 0 | 50.0 | -3.0 | 168.9 | 62.5 |
Tom Maayan
|
G | 8 | 15.4 | 2.0 | 1.1 | 2.2 | 0.4 | 0.0 | 2.6 | 1.0 | 2.1 | 3 | 9 | 0.3 | 1.1 | 37.5 | 66.7 | 0 | -2.55 | 100.0 | 50.0 |
Haralds Karlis
|
G | 23 | 13.3 | 1.8 | 1.6 | 0.7 | 0.3 | 0.0 | 0.7 | 0.9 | 2.9 | -38 | 26 | -1.5 | -4.7 | 25.0 | 28.6 | 50.0 | -1.59 | 90.5 | 35.0 |
Hakeem Harris
|
- | 3 | 8.7 | 1.7 | 0.7 | 0.0 | 0.7 | 0.3 | 0.0 | 0.0 | 3.3 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Travis Berry
|
G | 4 | 3.0 | 0.0 | 0.0 | 0.8 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | -12 | 5 | -2.4 | -38.8 | 0.0 | 0.0 | 0 | -2.52 | 0.0 | 0.0 |
Kevin Lynch
|
- | 4 | 1.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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