Manhattan Jaspers
2023 Team Stats (6 games)
61.2
PPG
62.2
Opp
-1.4
Margin
37.5%
FG%
28.6%
3P%
76.6%
FT%
35.7
RPG
12.0
APG
18.0
TO
82.3
Pace
Model Outputs
2022-2023
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 → | 846 (#353) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 864 (#362) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.2 (#307) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.149 (#305) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | North Dakota Fighting Hawks | L | 59 - 65 |
| 2022-12-09 | @ | George Washington Revolutionaries | L | 56 - 68 |
| 2023-03-07 | vs | Saint Peter's Peacocks | W | 59 - 56 |
| 2023-03-09 | @ | Quinnipiac Bobcats | W | 50 - 43 |
| 2023-03-10 | @ | Niagara Purple Eagles | W | 81 - 68 |
| 2023-03-11 | @ | Iona Gaels | L | 60 - 73 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P. Juric
|
F | 6 | 32.3 | 13.7 | 8.5 | 0.8 | 1.8 | 1.0 | 2.2 | 9.5 | 14.2 | - | - | - | 56.1 | 0.0 | 81.8 | - | 61.5 | 56.1 |
B. Harvey-Carr
|
F | 5 | 23.6 | 13.0 | 3.2 | 1.6 | 1.0 | 0.0 | 2.8 | 11.2 | 4.8 | - | - | - | 35.7 | 43.3 | 100.0 | - | 53.0 | 47.3 |
D. Davis
|
G | 5 | 27.8 | 9.8 | 5.4 | 2.4 | 2.0 | 0.0 | 3.8 | 9.8 | 6.0 | - | - | - | 28.6 | 27.3 | 69.2 | - | 40.5 | 31.6 |
B. Nascimento
|
G | 6 | 19.8 | 7.7 | 1.8 | 0.5 | 1.0 | 0.3 | 2.3 | 9.0 | 0.0 | - | - | - | 31.5 | 26.9 | 83.3 | - | 40.6 | 38.0 |
N. Dodson
|
F | 5 | 21.2 | 7.4 | 4.0 | 0.4 | 0.8 | 0.8 | 0.4 | 5.6 | 7.4 | - | - | - | 53.6 | 0.0 | 50.0 | - | 54.2 | 53.6 |
J. Blagrove
|
F | 6 | 19.7 | 4.5 | 2.3 | 1.5 | 1.8 | 0.3 | 2.2 | 4.5 | 3.8 | - | - | - | 33.3 | 0.0 | 90.0 | - | 43.0 | 33.3 |
A. Bair
|
G | 6 | 20.7 | 3.3 | 2.0 | 2.0 | 1.3 | 0.0 | 1.5 | 1.3 | 5.8 | - | - | - | 37.5 | 0.0 | 82.4 | - | 64.6 | 37.5 |
H. Galunic
|
F | 6 | 9.7 | 3.0 | 1.2 | 0.5 | 0.2 | 0.0 | 0.8 | 2.0 | 2.0 | - | - | - | 50.0 | 0 | 75.0 | - | 58.0 | 50.0 |
E. LaPointe
|
G | 6 | 24.0 | 2.3 | 2.7 | 2.0 | 1.0 | 0.3 | 2.2 | 4.5 | 1.7 | - | - | - | 14.8 | 14.3 | 71.4 | - | 23.3 | 16.7 |
L. Ozturk
|
F | 4 | 5.8 | 0.8 | 0.5 | 0.5 | 0.0 | 0.5 | 0.0 | 1.0 | 1.2 | - | - | - | 25.0 | 0 | 50.0 | - | 30.7 | 25.0 |
C. Katsamouri
|
F | 6 | 9.5 | 0.7 | 2.3 | 0.5 | 0.5 | 0.2 | 0.3 | 1.2 | 2.7 | - | - | - | 28.6 | 0 | 0 | - | 28.6 | 28.6 |
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