Morgan State
2022 Team Stats (3 games)
77.0
PPG
72.9
Opp
+1.2
Margin
47.2%
FG%
41.8%
3P%
66.0%
FT%
34.3
RPG
18.0
APG
15.7
TO
82.8
Pace
Model Outputs
2021-2022
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 → | 799 (#744) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 967 (#432) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1029 (#136) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.9 (#397) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.1 (#248) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.512 (#123) | NetEff +0.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.571 (#157) | AdjO 72.5 | AdjD 69.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.614 (#251) | 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 → | 0.604 (#239) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 976 (#237) | RD 139 | GP 24 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jalen Hawkins
|
- | 2 | 34.5 | 18.0 | 3.0 | 3.0 | 0.5 | 0.0 | 2.0 | 0.0 | 22.5 | - | - | - | 0 | 0 | 0 | 0.5 | 0 | 0 |
Mia Miller
|
- | 16 | 30.3 | 12.6 | 8.7 | 2.1 | 1.8 | 0.7 | 2.6 | 1.9 | 21.4 | 44 | 2.4 | 3.6 | 56.7 | 100.0 | 23.1 | 0.4 | 282.8 | 58.3 |
D. King
|
G | 1 | 20.0 | 12.0 | 6.0 | 0.0 | 1.0 | 0.0 | 6.0 | 0.0 | 13.0 | 138 | 4.2 | 6.9 | 0 | 0 | 0 | 0.95 | 0 | 0 |
N. Opoku
|
F | 1 | 33.0 | 11.0 | 6.0 | 0.0 | 2.0 | 5.0 | 2.0 | 0.0 | 22.0 | - | - | - | 0 | 0 | 0 | 0.53 | 0 | 0 |
L. Grantsaan
|
F | 19 | 25.4 | 10.9 | 5.7 | 1.2 | 0.7 | 0.6 | 2.1 | 2.0 | 15.1 | 32 | 1.1 | 1.8 | 42.1 | 33.3 | 50.0 | 0.34 | 221.2 | 44.7 |
D. Ware
|
G | 19 | 24.6 | 10.4 | 5.0 | 1.4 | 1.1 | 0.1 | 2.1 | 2.7 | 13.2 | 7 | 0.3 | 0.4 | 30.8 | 24.2 | 80.0 | -0.11 | 162.8 | 38.5 |
D. London
|
G | 2 | 27.0 | 10.0 | 1.0 | 1.5 | 0.5 | 1.0 | 1.0 | 0.0 | 13.0 | 30 | 1.4 | 2.0 | 0 | 0 | 0 | -0.03 | 0 | 0 |
C. Venning
|
F | 14 | 14.5 | 8.2 | 3.6 | 0.6 | 0.4 | 1.4 | 1.4 | 2.9 | 9.9 | 53 | 2.0 | 5.5 | 53.7 | 0 | 50.0 | 0.44 | 124.2 | 53.7 |
M. Silveira
|
C | 1 | 12.0 | 8.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | 1.02 | 0 | 0 |
K. McGee
|
G | 18 | 19.5 | 7.9 | 1.6 | 1.2 | 0.8 | 0.1 | 1.1 | 1.6 | 8.9 | -199 | -6.6 | -9.7 | 34.5 | 38.9 | 100.0 | 0.64 | 230.8 | 46.6 |
I. Burke
|
- | 24 | 22.8 | 7.8 | 1.7 | 2.0 | 1.3 | 0.2 | 1.5 | 1.9 | 9.7 | 55 | 2.0 | 2.8 | 48.9 | 50.0 | 64.3 | 0.49 | 183.7 | 61.1 |
T. Moore
|
G | 14 | 21.0 | 7.6 | 1.6 | 1.4 | 0.6 | 0.0 | 1.4 | 2.4 | 7.6 | 347 | 9.6 | 13.3 | 48.5 | 40.0 | 75.0 | 1.68 | 153.9 | 60.6 |
S. Devonish
|
G | 18 | 28.4 | 7.1 | 3.4 | 3.5 | 0.9 | 0.1 | 2.1 | 1.5 | 11.4 | 79 | 3.0 | 4.5 | 33.3 | 0.0 | 80.0 | 0.82 | 202.2 | 33.3 |
M. Mensah
|
G | 2 | 8.0 | 4.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.5 | 23 | 0.9 | 3.5 | 0 | 0 | 0 | 0.41 | 0 | 0 |
M. Douglas
|
F | 4 | 12.5 | 4.2 | 2.5 | 1.0 | 0.2 | 0.5 | 1.5 | 0.0 | 7.0 | 10 | 1.4 | 4.6 | 0 | 0 | 0 | 0.15 | 0 | 0 |
G. LaCount
|
G | 1 | 3.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | 17 | 1.5 | 13.7 | 0 | 0 | 0 | 0.2 | 0 | 0 |
S. Woods
|
G | 16 | 17.8 | 3.8 | 1.8 | 1.9 | 0.6 | 0.2 | 1.4 | 0.9 | 5.9 | 43 | 2.0 | 4.6 | 26.7 | 25.0 | 83.3 | 0.35 | 170.1 | 30.0 |
Ty Horner
|
- | 13 | 9.5 | 3.5 | 1.4 | 0.6 | 0.2 | 0.2 | 0.7 | 0.8 | 4.5 | - | - | - | 50.0 | 40.0 | 50.0 | 0.12 | 206.8 | 60.0 |
Will Thomas
|
- | 15 | 8.2 | 2.3 | 1.7 | 0.7 | 0.3 | 0.1 | 0.5 | 0.2 | 4.4 | 29 | 1.6 | 6.4 | 33.3 | 0 | 0 | 0.54 | 583.3 | 33.3 |
M. Akinsanya
|
F | 2 | 11.0 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 2.0 | -15 | -0.6 | -1.7 | 0 | 0 | 0 | -0.46 | 0 | 0 |
C. Nnamene
|
- | 18 | 6.3 | 1.4 | 1.5 | 0.3 | 0.1 | 0.5 | 0.7 | 0.2 | 3.0 | 11 | 0.5 | 2.4 | 66.7 | 0 | 0 | 0.16 | 433.3 | 66.7 |
Elijah Bowens
|
G | 8 | 3.4 | 0.6 | 0.1 | 0.2 | 0.0 | 0.0 | 0.4 | 0.0 | 0.6 | - | - | - | 0 | 0 | 0 | -0.17 | 0 | 0 |
M. Milivojevic
|
- | 2 | 6.0 | 0.5 | 1.0 | 0.0 | 0.5 | 0.5 | 0.5 | 0.0 | 2.0 | -20 | -1.5 | -11.1 | 0 | 0 | 0 | -0.32 | 0 | 0 |
Naseem Khaalid
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
T. Vance
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10 | 1.4 | 10.5 | 0 | 0 | 0 | -0.01 | 0 | 0 |
C. Williams
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -43 | -2.0 | -6.0 | 0 | 0 | 0 | 1.18 | 0 | 0 |
A. Caldwell
|
G | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | -24 | -1.0 | -2.8 | 0 | 0 | 0 | 0.13 | 0 | 0 |
Y. Harvey
|
G | 1 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -1.0 | -2 | -0.1 | -0.3 | 0 | 0 | 0 | 0.12 | 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