Bryant Bulldogs
2022 Team Stats (5 games)
63.0
PPG
49.4
Opp
+13.6
Margin
43.3%
FG%
29.6%
3P%
78.9%
FT%
37.6
RPG
14.2
APG
16.4
TO
78.2
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 → | 1055 (#165) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1086 (#160) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.2 (#155) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.895 (#39) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-24 | vs | Fisher College Eagles | W | 117 - 38 |
| 2022-03-03 | vs | Long Island University Sharks | L | 47 - 48 |
| 2022-03-07 | @ | St. Francis Brooklyn Terriers | W | 65 - 63 |
| 2022-03-10 | @ | Fairleigh Dickinson Knights | W | 44 - 38 |
| 2022-03-13 | @ | Mount St. Mary's Mountaineers | L | 42 - 60 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Bjelko
|
C | 5 | 31.8 | 12.8 | 7.0 | 1.0 | 0.2 | 0.8 | 2.8 | 9.6 | 9.4 | - | - | - | 60.4 | 0 | 60.0 | 0.85 | 61.1 | 60.4 |
N. Gallagher
|
G | 5 | 32.4 | 10.6 | 6.2 | 2.6 | 1.2 | 0.4 | 2.0 | 7.6 | 11.4 | 47 | 2.8 | 16.6 | 44.7 | 34.8 | 91.7 | 0.94 | 61.2 | 55.3 |
M. Planes Fortuny
|
F | 5 | 27.4 | 10.6 | 6.0 | 2.0 | 0.8 | 0.6 | 1.8 | 10.8 | 7.4 | 38 | 1.9 | 16.1 | 42.6 | 0.0 | 77.8 | 0.67 | 45.7 | 42.6 |
B. Chasco
|
C | 2 | 7.5 | 7.5 | 2.0 | 0.5 | 1.0 | 0.0 | 1.0 | 5.5 | 4.5 | - | - | - | 54.5 | 0 | 75.0 | -0.01 | 58.8 | 54.5 |
F. Jallow
|
G | 5 | 29.0 | 6.4 | 3.8 | 2.2 | 1.6 | 0.4 | 3.2 | 7.0 | 4.2 | - | - | - | 28.6 | 23.1 | 81.8 | 0.69 | 40.2 | 32.9 |
A. Perkins
|
G | 5 | 16.8 | 6.2 | 1.6 | 0.6 | 0.8 | 0.0 | 2.0 | 6.6 | 0.6 | - | - | - | 33.3 | 29.2 | 100.0 | 0.35 | 45.7 | 43.9 |
M. Martinez
|
G | 2 | 5.5 | 4.5 | 0.0 | 0.5 | 0.5 | 0.5 | 1.0 | 2.5 | 2.5 | -23 | -2.1 | -12.1 | 80.0 | 100.0 | 0 | 0.4 | 90.0 | 90.0 |
L. Castagne
|
G | 5 | 29.2 | 4.2 | 3.2 | 2.0 | 1.6 | 0.2 | 2.0 | 5.4 | 3.8 | -54 | -4.2 | -25.9 | 33.3 | 25.0 | 0 | 0.24 | 38.9 | 38.9 |
J. Golden
|
F | 5 | 10.6 | 4.0 | 2.2 | 1.0 | 1.6 | 0.0 | 0.4 | 3.0 | 5.4 | - | - | - | 60.0 | 0 | 50.0 | 0.73 | 59.7 | 60.0 |
S. O'Connor
|
G | 3 | 10.0 | 2.7 | 2.0 | 1.0 | 0.3 | 0.0 | 0.7 | 2.3 | 3.0 | -43 | -2.7 | -13.4 | 42.9 | 50.0 | 0 | 0.4 | 57.1 | 57.1 |
K. Reynolds
|
G | 4 | 6.5 | 2.2 | 1.0 | 0.5 | 0.0 | 0.0 | 0.2 | 1.8 | 1.8 | 52 | 10.4 | 42.4 | 28.6 | 0.0 | 100.0 | 0.31 | 48.9 | 28.6 |
M. Bodziony
|
G | 3 | 8.3 | 0.0 | 1.7 | 2.3 | 1.0 | 0.0 | 0.0 | 1.3 | 3.7 | -68 | -3.4 | -22.2 | 0.0 | 0.0 | 0 | 0.45 | 0.0 | 0.0 |
S. Mayerhofer
|
G | 1 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Kiefer
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.1 | 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