Maryland
2022 Team Stats (13 games)
73.3
PPG
70.7
Opp
+0.4
Margin
44.9%
FG%
31.4%
3P%
74.5%
FT%
35.6
RPG
12.9
APG
10.9
TO
77.4
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 → | 1161 (#163) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1361 (#63) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 956 (#545) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.1 (#35) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.6 (#77) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.644 (#76) | NetEff +5.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.583 (#146) | AdjO 72.0 | AdjD 68.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.811 (#109) | 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 → | 0.775 (#119) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1096 (#148) | RD 132 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F. Russell
|
G | 20 | 31.9 | 15.1 | 4.2 | 3.9 | 1.6 | 0.2 | 2.8 | 8.0 | 14.1 | 36 | 1.1 | 1.4 | 43.8 | 32.1 | 72.1 | 0.98 | 80.6 | 49.1 |
E. Ayala
|
G | 26 | 33.1 | 14.4 | 4.7 | 2.1 | 0.8 | 0.1 | 2.0 | 7.0 | 13.1 | 5 | 0.2 | 0.2 | 37.9 | 33.0 | 72.7 | 0.51 | 92.9 | 47.0 |
Donta Scott
|
- | 29 | 33.2 | 12.8 | 6.2 | 1.2 | 0.8 | 0.7 | 1.7 | 5.2 | 14.8 | -594 | -34.9 | -54.4 | 46.4 | 32.1 | 77.4 | 0.85 | 106.4 | 52.0 |
M. Bingham Jr.
|
F | 1 | 20.0 | 12.0 | 11.0 | 0.0 | 2.0 | 1.0 | 2.0 | 0.0 | 24.0 | -219 | -6.8 | -8.6 | 0 | 0 | 0 | 0.92 | 0 | 0 |
H. Hart
|
- | 29 | 31.4 | 10.1 | 3.4 | 2.0 | 1.6 | 0.4 | 1.0 | 2.9 | 13.6 | - | - | - | 50.6 | 31.7 | 85.7 | 1.58 | 151.0 | 58.2 |
G. Brown
|
F | 1 | 32.0 | 10.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 16.0 | - | - | - | 0 | 0 | 0 | 0.34 | 0 | 0 |
J. Marble
|
- | 1 | 10.0 | 8.0 | 2.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 10.0 | 18 | 0.5 | 1.4 | 0 | 0 | 0 | 0.56 | 0 | 0 |
Q. Wahab
|
- | 27 | 19.4 | 7.8 | 5.7 | 0.4 | 0.2 | 0.7 | 1.3 | 3.2 | 10.3 | -2 | -0.1 | -0.1 | 60.9 | 0.0 | 66.7 | 0.28 | 100.0 | 60.9 |
Max Christie
|
- | 1 | 29.0 | 6.0 | 5.0 | 2.0 | 0.0 | 0.0 | 4.0 | 0.0 | 9.0 | - | - | - | 0 | 0 | 0 | 0.68 | 0 | 0 |
Julian Reese
|
- | 29 | 17.4 | 5.8 | 4.4 | 0.4 | 0.3 | 0.7 | 1.3 | 2.3 | 8.0 | -20 | -0.6 | -1.3 | 50.0 | 36.4 | 72.7 | -0.04 | 110.3 | 53.0 |
Jordan Geronimo
|
- | 2 | 14.0 | 4.0 | 5.0 | 0.0 | 0.5 | 1.0 | 1.0 | 0.0 | 9.5 | 38 | 1.1 | 3.5 | 0 | 0 | 0 | 0.56 | 0 | 0 |
Ian Martinez
|
- | 21 | 14.5 | 3.4 | 1.8 | 1.3 | 0.9 | 0.3 | 0.8 | 2.3 | 4.6 | -6 | -0.2 | -0.7 | 39.6 | 22.7 | 64.7 | 0.11 | 64.9 | 44.8 |
X. Green
|
G | 20 | 20.1 | 2.5 | 2.4 | 1.0 | 0.6 | 0.1 | 0.3 | 1.6 | 4.5 | -2 | -0.1 | -0.1 | 36.4 | 42.9 | 72.7 | 0.26 | 67.4 | 45.5 |
J. Graham
|
- | 1 | 5.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 32 | 1.1 | 1.9 | 0.0 | 0.0 | 100.0 | 1.13 | 53.2 | 0.0 |
Marcus Dockery
|
G | 8 | 4.4 | 1.8 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 0.1 | 2.0 | -12 | -1.5 | -14.2 | 0.0 | 0.0 | 0 | -0.14 | 700.0 | 0.0 |
S. Wright
|
F | 16 | 3.4 | 0.4 | 0.5 | 0.1 | 0.1 | 0.0 | 0.2 | 0.0 | 0.8 | 36 | 4.5 | 47.6 | 0 | 0 | 0 | 0.27 | 0 | 0 |
Pavlo Dziuba
|
F | 7 | 4.6 | 0.4 | 0.4 | 0.0 | 0.3 | 0.0 | 0.1 | 0.4 | 0.6 | 2 | 0.2 | 2.5 | 33.3 | 50.0 | 0 | -0.04 | 50.0 | 50.0 |
I. Cornish
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
R. Gonzales-Agee
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Watts
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9 | 1.0 | 8.1 | 0 | 0 | 0 | 0.15 | 0 | 0 |
A. Revaz
|
- | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
B. Karkus
|
- | 2 | 1.5 | 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