Canisius Golden Griffins
2025 Team Stats (2 games)
48.5
PPG
60.0
Opp
-11.5
Margin
40.4%
FG%
26.8%
3P%
54.5%
FT%
27.5
RPG
12.0
APG
19.5
TO
71.4
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 871 (#555) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.5 (#356) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.304 (#557) | AdjO 56.0 | AdjD 65.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.267 (#414) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.259 (#435) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 706 (#577) | RD 175 | GP 27 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-02 | vs | Illinois Fighting Illini | L | 55 - 68 |
| 2025-03-11 | @ | Manhattan Jaspers | L | 42 - 52 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Gailes
|
F | 2 | 31.0 | 8.5 | 4.5 | 2.0 | 0.5 | 0.0 | 3.0 | 8.5 | 4.0 | 0 | 0.0 | 0.0 | 41.2 | 0.0 | 100.0 | 0.73 | 46.4 | 41.2 |
J. Johnson
|
G | 2 | 33.5 | 7.5 | 4.5 | 4.5 | 1.5 | 0.0 | 2.5 | 10.0 | 5.5 | 39 | 1.1 | 1.7 | 30.0 | 10.0 | 40.0 | 1.25 | 33.8 | 32.5 |
C. Santoro
|
G | 2 | 15.5 | 7.5 | 2.0 | 0.5 | 0.0 | 0.0 | 0.0 | 5.0 | 5.0 | 49 | 1.4 | 3.4 | 50.0 | 50.0 | 0 | 0.48 | 75.0 | 75.0 |
M. Sanogo
|
F | 2 | 18.0 | 6.0 | 2.5 | 0.5 | 1.0 | 0.5 | 2.0 | 4.5 | 4.0 | 13 | 0.4 | 0.7 | 66.7 | 0.0 | 0.0 | 0.86 | 60.7 | 66.7 |
Y. Djibril
|
F | 2 | 23.5 | 6.0 | 3.5 | 1.5 | 1.0 | 0.5 | 2.0 | 5.5 | 5.0 | 47 | 1.5 | 2.8 | 54.5 | 0 | 0 | 0.82 | 54.5 | 54.5 |
X. Karatasiou
|
G | 2 | 10.0 | 4.5 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 2.5 | -24 | -1.4 | -6.0 | 75.0 | 66.7 | 100.0 | -0.42 | 101.4 | 100.0 |
M. Copple
|
G | 2 | 18.0 | 4.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.5 | 5.0 | 0.0 | -22 | -0.7 | -1.5 | 30.0 | 30.0 | 0 | -0.23 | 45.0 | 45.0 |
S. Carvajal Caro
|
F | 1 | 8.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | 0.0 | -17 | -0.7 | -2.1 | 100.0 | 0 | 0 | -0.09 | 100.0 | 100.0 |
I. Rey Pineda
|
F | 2 | 15.5 | 2.0 | 1.5 | 1.0 | 1.0 | 0.0 | 1.0 | 3.0 | 1.5 | -13 | -0.4 | -0.9 | 33.3 | 0.0 | 0 | -0.26 | 33.3 | 33.3 |
F. Wittenberg
|
G | 2 | 27.5 | 0.0 | 4.5 | 1.5 | 0.0 | 0.0 | 3.5 | 5.0 | -2.5 | -25 | -0.8 | -1.0 | 0.0 | 0.0 | 0 | -0.24 | 0.0 | 0.0 |
S. Randolph
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -10 | -0.4 | -6.5 | 0 | 0 | 0 | -0.87 | 0 | 0 |
A. Moses
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -19 | -0.7 | -6.1 | 0 | 0 | 0 | -0.55 | 0 | 0 |
C. Clay
|
G | 2 | 3.5 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | -0.34 | 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