Oakland Golden Grizzlies
2022 Team Stats (4 games)
59.5
PPG
63.0
Opp
-3.5
Margin
36.5%
FG%
26.9%
3P%
66.1%
FT%
34.0
RPG
9.8
APG
11.3
TO
78.7
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 → | 884 (#333) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 955 (#281) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.0 (#256) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.137 (#312) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-22 | @ | Michigan Wolverines | L | 58 - 69 |
| 2022-03-01 | vs | Wright State Raiders | W | 54 - 45 |
| 2022-03-03 | @ | Youngstown State Penguins | W | 63 - 52 |
| 2022-03-07 | @ | IU Indianapolis Jaguars | L | 63 - 86 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Dean
|
G | 3 | 25.7 | 19.0 | 4.7 | 1.7 | 1.7 | 0.0 | 2.0 | 13.0 | 12.0 | -33 | -5.5 | -68.5 | 38.5 | 35.7 | 78.6 | -0.39 | 55.5 | 44.9 |
O. Sims
|
G | 1 | 22.0 | 10.0 | 3.0 | 1.0 | 1.0 | 0.0 | 1.0 | 8.0 | 6.0 | -31 | -3.1 | -23.9 | 50.0 | 50.0 | 0 | 0.19 | 62.5 | 62.5 |
B. Beatty
|
G | 4 | 30.2 | 9.2 | 6.2 | 2.0 | 1.0 | 0.0 | 1.5 | 9.2 | 7.8 | - | - | - | 40.5 | 30.0 | 50.0 | 0.06 | 48.8 | 48.6 |
S. Williams
|
G | 4 | 26.0 | 7.8 | 3.8 | 2.0 | 1.0 | 0.5 | 1.0 | 7.8 | 6.2 | - | - | - | 35.5 | 20.0 | 72.7 | -0.54 | 43.2 | 37.1 |
B. Breedy
|
G | 4 | 32.8 | 6.8 | 1.0 | 2.5 | 0.2 | 0.0 | 1.0 | 7.8 | 1.8 | - | - | - | 35.5 | 75.0 | 50.0 | 0.61 | 41.2 | 40.3 |
B. Perry
|
F | 4 | 20.8 | 5.2 | 4.5 | 0.5 | 0.8 | 0.0 | 1.0 | 6.8 | 3.2 | 43 | 3.6 | 20.3 | 33.3 | 10.0 | 33.3 | 0.98 | 35.4 | 35.2 |
K. Luchenbach
|
F | 4 | 16.5 | 5.0 | 2.5 | 0.5 | 0.2 | 0.2 | 1.2 | 4.2 | 3.0 | - | - | - | 52.9 | 0.0 | 66.7 | 0.42 | 54.6 | 52.9 |
S. Gouard
|
G | 4 | 17.5 | 4.0 | 3.8 | 0.5 | 0.5 | 0.2 | 0.8 | 4.0 | 4.2 | - | - | - | 43.8 | 0.0 | 100.0 | 0.87 | 47.4 | 43.8 |
K. Folley
|
G | 3 | 18.3 | 3.7 | 2.0 | 0.3 | 0.3 | 0.0 | 1.0 | 6.0 | -0.7 | -55 | -3.7 | -27.7 | 27.8 | 25.0 | 0.0 | 0.3 | 28.5 | 30.6 |
A. Blackwell
|
G | 1 | 19.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 | -2.0 | - | - | - | 25.0 | 0.0 | 0 | 0.74 | 25.0 | 25.0 |
A. McQueen
|
G | 3 | 5.7 | 1.0 | 1.3 | 0.0 | 0.0 | 0.0 | 0.7 | 3.0 | -1.3 | -65 | -4.3 | -24.6 | 11.1 | 20.0 | 0 | 0.33 | 16.7 | 16.7 |
K. Montue
|
G | 3 | 4.3 | 1.0 | 1.0 | 0.0 | 0.3 | 0.0 | 0.0 | 1.7 | 0.7 | -21 | -2.6 | -15.2 | 20.0 | 25.0 | 0 | 0.2 | 30.0 | 30.0 |
C. Maholmes
|
F | 2 | 4.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | -0.39 | 0.0 | 0.0 |
H. Staley
|
F | 4 | 2.8 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | 19 | 1.2 | 6.5 | 0.0 | 0 | 0 | 0.75 | 0.0 | 0.0 |
P. Mungo
|
C | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -23 | -4.6 | -39.6 | 0 | 0 | 0 | -0.16 | 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