Morgan State
2014 Team Stats (7 games)
70.7
PPG
77.0
Opp
-6.3
Margin
44.0%
FG%
24.3%
3P%
66.0%
FT%
36.3
RPG
12.1
APG
13.7
TO
-
Est. poss./game
69.2
Adj PPG
73.2
Adj Opp PPG
#235
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 | 1008 (#169) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 927 (#233) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1033 (#124) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -4.5 (#237) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -3.0 (#217) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.469 (#193) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.312 (#238) | AdjNet -6.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.309 (#239) | AdjNet -7.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.409 (#235) | AdjO 69.2 | AdjD 73.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.502 (#173) | AdjO 69.3 | AdjD 69.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.425 (#212) | 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 | 0.443 (#199) | 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 | 938 (#224) | RD 127 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Justin Black
|
G | 30 | 33.7 | 18.9 | 5.0 | 2.9 | 1.9 | 0.1 | 3.1 | 4.5 | 21.2 | -40 | 18 | -2.2 | -3.3 | 44.4 | 28.6 | 62.2 | -0.1 | 169.5 | 50.4 |
Ian Chiles
|
C | 30 | 28.1 | 15.3 | 6.5 | 0.8 | 0.5 | 2.8 | 1.6 | 3.7 | 20.6 | 37 | 17 | 2.2 | 3.4 | 58.9 | 0 | 73.9 | 6.39 | 173.9 | 58.9 |
Anthony Hubbard
|
G | 30 | 28.4 | 11.0 | 6.9 | 2.1 | 0.7 | 0.2 | 1.8 | 2.5 | 16.6 | -26 | 18 | -1.4 | -2.4 | 52.6 | 27.8 | 66.7 | 0.79 | 187.2 | 55.9 |
Blake Bozeman
|
G | 30 | 31.1 | 6.6 | 1.9 | 2.0 | 0.5 | 0.0 | 1.4 | 2.7 | 7.0 | -89 | 18 | -4.9 | -8.0 | 22.5 | 17.9 | 55.6 | -5.39 | 118.5 | 28.7 |
Cedric Blossom
|
F | 30 | 22.9 | 6.6 | 5.2 | 0.7 | 0.4 | 0.2 | 1.0 | 1.7 | 10.5 | -63 | 17 | -3.7 | -7.6 | 49.0 | 0.0 | 66.7 | -3.62 | 158.2 | 49.0 |
Shaquille Duncan
|
F | 29 | 15.3 | 4.7 | 3.1 | 0.6 | 0.3 | 1.0 | 1.0 | 1.0 | 7.5 | -33 | 17 | -1.9 | -7.4 | 33.3 | 0 | 66.7 | -2.56 | 178.0 | 33.3 |
Donte Pretlow
|
G | 30 | 23.1 | 3.6 | 2.7 | 2.4 | 1.4 | 0.0 | 1.1 | 1.5 | 7.5 | -32 | 18 | -1.8 | -3.6 | 24.4 | 8.3 | 60.0 | -2.59 | 108.3 | 25.6 |
Thair Heath
|
F | 20 | 6.3 | 1.8 | 1.3 | 0.4 | 0.3 | 0.5 | 0.5 | 0.2 | 3.5 | 23 | 12 | 1.9 | 13.4 | 80.0 | 0 | 0.0 | 2.48 | 205.4 | 80.0 |
Torin Childs-Harris
|
G | 12 | 6.2 | 1.6 | 0.4 | 0.1 | 0.4 | 0.1 | 0.7 | 0.7 | 1.2 | 4 | 5 | 0.8 | 7.5 | 25.0 | 16.7 | 50.0 | -0.05 | 107.0 | 31.2 |
Rasean Simpson
|
G | 21 | 4.9 | 1.4 | 0.9 | 0.1 | 0.1 | 0.1 | 0.2 | 0.5 | 2.0 | 9 | 12 | 0.8 | 6.1 | 36.4 | 28.6 | 0 | 1.52 | 136.4 | 45.5 |
Kyle Thomas
|
F | 20 | 4.5 | 1.4 | 0.6 | 0.3 | 0.1 | 0.1 | 0.3 | 0.6 | 1.6 | 12 | 11 | 1.1 | 9.9 | 36.4 | 50.0 | 0 | 0.7 | 127.3 | 54.5 |
Willis Turnipseed
|
F | 6 | 1.3 | 1.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | 1.0 | - | - | - | - | 100.0 | 0 | 0 | 0.11 | 300.0 | 100.0 |
Emmanuel Matey
|
G | 25 | 7.2 | 0.8 | 0.8 | 0.6 | 0.2 | 0.0 | 0.9 | 0.2 | 1.2 | 2 | 13 | 0.2 | 0.7 | 16.7 | 33.3 | 57.1 | 0.0 | 115.6 | 25.0 |
Hassante Manning
|
F | 12 | 4.8 | 0.4 | 1.0 | 0.3 | 0.0 | 0.1 | 0.2 | 0.2 | 1.5 | -25 | 8 | -3.1 | -24.2 | 50.0 | 0 | 0 | -4.15 | 125.0 | 50.0 |
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