St. Francis Brooklyn Terriers
2023 Team Stats (4 games)
51.3
PPG
60.0
Opp
-8.8
Margin
33.8%
FG%
27.8%
3P%
53.6%
FT%
40.0
RPG
11.3
APG
16.0
TO
77.6
Pace
Model Outputs
2022-2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 807 (#387) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Youngstown State Penguins | L | 41 - 70 |
| 2023-01-16 | vs | Long Island University Sharks | W | 66 - 60 |
| 2023-03-06 | vs | Wagner Seahawks | W | 58 - 51 |
| 2023-03-09 | @ | Fairleigh Dickinson Knights | L | 40 - 59 |
2023 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. Myers
|
G | 4 | 36.0 | 11.2 | 3.5 | 2.0 | 1.5 | 0.0 | 1.0 | 14.0 | 3.2 | - | - | - | 26.8 | 31.0 | 75.0 | - | 37.8 | 34.8 |
S. Bandoma
|
F | 4 | 29.8 | 10.0 | 7.5 | 0.8 | 0.2 | 1.8 | 2.0 | 7.2 | 11.0 | - | - | - | 62.1 | 0 | 28.6 | - | 56.9 | 62.1 |
A. Fisher
|
G | 3 | 28.0 | 9.3 | 4.0 | 0.7 | 1.0 | 0.0 | 2.0 | 9.7 | 3.3 | - | - | - | 34.5 | 17.6 | 71.4 | - | 43.6 | 39.7 |
A. Belloso
|
G | 4 | 24.5 | 9.0 | 4.8 | 1.2 | 1.0 | 0.0 | 3.5 | 8.2 | 4.2 | - | - | - | 39.4 | 43.8 | 33.3 | - | 48.7 | 50.0 |
E. Ogier
|
G | 1 | 32.0 | 7.0 | 4.0 | 2.0 | 2.0 | 0.0 | 4.0 | 11.0 | 0.0 | - | - | - | 27.3 | 0.0 | 50.0 | - | 29.5 | 27.3 |
S. Kavanagh
|
G | 4 | 22.5 | 6.0 | 5.0 | 1.5 | 0.8 | 0.0 | 2.2 | 4.8 | 6.2 | - | - | - | 36.8 | 50.0 | 70.0 | - | 51.3 | 44.7 |
E. Varga
|
G | 3 | 37.3 | 4.0 | 7.7 | 4.3 | 1.3 | 0.3 | 3.3 | 7.0 | 7.3 | - | - | - | 14.3 | 0.0 | 60.0 | - | 23.6 | 14.3 |
B. Green
|
G | 2 | 8.0 | 1.5 | 3.5 | 1.0 | 0.5 | 0.5 | 0.5 | 1.0 | 5.5 | - | - | - | 50.0 | 0 | 50.0 | - | 52.1 | 50.0 |
J. McMillan
|
G | 3 | 13.0 | 1.3 | 2.0 | 0.0 | 0.7 | 0.0 | 1.0 | 2.3 | 0.7 | - | - | - | 14.3 | 0 | 100.0 | - | 25.4 | 14.3 |
P. Martin
|
F | 3 | 6.0 | 0.7 | 1.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 1.7 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
K. Januszewska
|
G | 3 | 7.7 | 0.7 | 1.0 | 0.3 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 21.0 | 0.0 |
Z. Hutchinson
|
F | 4 | 5.5 | 0.5 | 0.8 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | 0.0 | - | - | - | 25.0 | 0 | 0.0 | - | 22.5 | 25.0 |
A. Altmann
|
F | 3 | 1.0 | 0.0 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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