Maine Black Bears
2019 Team Stats (8 games)
59.1
PPG
51.8
Opp
+7.3
Margin
35.1%
FG%
31.0%
3P%
83.3%
FT%
34.9
RPG
14.5
APG
9.1
TO
73.5
Pace
Model Outputs
2018-2019
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 → | 1096 (#154) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1134 (#142) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.0 (#157) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.713 (#117) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-25 | vs | Pennsylvania Quakers | W | 47 - 46 |
| 2018-12-15 | @ | NC State Wolfpack | L | 46 - 84 |
| 2019-02-06 | vs | Vermont Catamounts | W | 66 - 45 |
| 2019-02-27 | @ | UMass Lowell River Hawks | W | 60 - 41 |
| 2019-03-06 | vs | New Hampshire Wildcats | W | 69 - 36 |
| 2019-03-10 | vs | UAlbany Great Danes | W | 66 - 51 |
| 2019-03-15 | vs | Hartford Hawks | W | 68 - 48 |
| 2019-03-23 | @ | NC State Wolfpack | L | 51 - 63 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Sutton
|
G | 8 | 33.9 | 14.1 | 8.1 | 2.8 | 1.8 | 0.5 | 2.8 | 12.1 | 12.4 | - | - | - | 42.3 | 13.3 | 85.3 | 1.79 | 50.5 | 43.3 |
B. Millan
|
G | 8 | 35.0 | 12.9 | 5.1 | 2.4 | 2.4 | 1.4 | 1.9 | 15.4 | 6.9 | - | - | - | 30.1 | 25.4 | 73.7 | 1.34 | 39.2 | 36.2 |
P. Rossignol
|
G | 8 | 30.9 | 10.5 | 3.6 | 1.2 | 1.1 | 0.1 | 0.1 | 9.5 | 7.0 | - | - | - | 38.2 | 44.0 | 80.0 | 2.08 | 53.7 | 52.6 |
D. Saar
|
G | 8 | 38.4 | 9.6 | 2.6 | 4.1 | 1.1 | 0.0 | 1.1 | 8.9 | 7.5 | - | - | - | 31.0 | 35.8 | 93.3 | 2.37 | 49.6 | 44.4 |
F. Wadling
|
F | 6 | 30.0 | 6.5 | 8.5 | 2.2 | 2.3 | 2.0 | 1.8 | 7.3 | 12.3 | - | - | - | 40.9 | 22.2 | 100.0 | 1.76 | 43.9 | 43.2 |
K. Fogarty
|
G | 6 | 9.5 | 3.7 | 0.5 | 0.3 | 0.0 | 0.0 | 0.3 | 4.0 | 0.2 | - | - | - | 33.3 | 28.6 | 0 | -0.17 | 45.8 | 45.8 |
M. Carroll
|
F | 7 | 14.6 | 2.0 | 2.7 | 1.0 | 0.1 | 0.6 | 0.4 | 2.0 | 4.0 | - | - | - | 50.0 | 0 | 0 | 0.41 | 50.0 | 50.0 |
M. McVicar
|
G | 8 | 12.2 | 1.8 | 0.4 | 0.8 | 0.5 | 0.0 | 0.5 | 3.0 | -0.1 | - | - | - | 16.7 | 22.2 | 100.0 | 0.01 | 28.1 | 25.0 |
K. Barra
|
F | 6 | 5.2 | 1.0 | 0.7 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 1.2 | - | - | - | 50.0 | 0 | 0 | 0.2 | 50.0 | 50.0 |
A. Bolozova
|
F | 1 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 50.0 | -1.38 | 56.8 | 0 |
S. Tapley
|
G | 3 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -1.39 | 0 | 0 |
K. Williams
|
C | 2 | 4.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | 1 | 0.0 | 0.1 | 0.0 | 0 | 0 | 1.18 | 0.0 | 0.0 |
D. Alper
|
G | 3 | 3.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | -0.7 | - | - | - | 0.0 | 0.0 | 0 | 0.12 | 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