Canisius Golden Griffins
2024 Team Stats (3 games)
64.3
PPG
65.3
Opp
-1.0
Margin
41.7%
FG%
40.6%
3P%
64.4%
FT%
32.0
RPG
13.3
APG
13.0
TO
73.9
Pace
Model Outputs
2023-2024
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 → | 808 (#341) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 756 (#354) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.6 (#352) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.069 (#352) | - |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-08 | @ | Binghamton Bearcats | W | 71 - 64 |
| 2024-03-14 | @ | Manhattan Jaspers | W | 58 - 55 |
| 2024-03-15 | @ | Fairfield Stags | L | 64 - 77 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Lexa
|
G | 3 | 32.3 | 18.0 | 2.3 | 1.0 | 0.7 | 0.0 | 2.0 | 14.0 | 6.0 | 8 | 1.0 | 0.9 | 47.6 | 52.6 | 66.7 | 0.22 | 60.5 | 59.5 |
S. Eleko
|
F | 3 | 27.7 | 14.3 | 8.7 | 2.3 | 0.0 | 0.3 | 2.7 | 9.3 | 13.7 | -21 | -2.6 | -2.7 | 57.1 | 60.0 | 57.1 | -0.07 | 62.9 | 62.5 |
B. Thrash
|
G | 3 | 26.7 | 9.7 | 3.7 | 0.3 | 0.3 | 0.3 | 1.3 | 5.3 | 7.7 | 3 | 0.4 | 0.4 | 62.5 | 80.0 | 71.4 | -0.03 | 76.0 | 75.0 |
M. Amalia
|
G | 3 | 34.3 | 7.3 | 4.0 | 4.0 | 0.7 | 0.3 | 2.3 | 9.3 | 4.7 | -43 | -5.4 | -4.5 | 25.0 | 25.0 | 80.0 | -0.2 | 36.4 | 32.1 |
G. Heeps
|
G | 3 | 37.0 | 6.7 | 4.7 | 2.3 | 1.7 | 0.0 | 0.7 | 6.0 | 8.7 | -27 | -3.4 | -3.0 | 38.9 | 38.5 | 50.0 | -0.27 | 53.0 | 52.8 |
G. Hernandez-Boulden
|
G | 2 | 12.5 | 5.5 | 2.5 | 0.0 | 0.0 | 0.0 | 0.5 | 4.0 | 3.5 | -31 | -5.2 | -19.6 | 37.5 | 50.0 | 50.0 | -0.27 | 47.7 | 43.8 |
A. LaMora
|
F | 1 | 22.0 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 2.0 | 2.0 | 3.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
B. Rozzi
|
G | 3 | 20.0 | 2.7 | 2.7 | 2.3 | 1.3 | 0.0 | 0.7 | 5.3 | 3.0 | - | - | - | 18.8 | 16.7 | 100.0 | -0.01 | 24.3 | 21.9 |
J. McCauley
|
G | 3 | 3.7 | 0.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -12 | -1.7 | -6.5 | 0.0 | 0.0 | 100.0 | -0.05 | 25.8 | 0.0 |
M. Copple
|
G | 2 | 4.0 | 0.0 | 0.5 | 0.5 | 0.5 | 0.0 | 1.0 | 1.0 | -0.5 | 18 | 2.2 | 13.7 | 0.0 | 0.0 | 0 | 0.17 | 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