Canisius Golden Griffins
2026 Team Stats (29 games)
63.1
PPG
70.1
Opp
-7.0
Margin
40.4%
FG%
33.3%
3P%
71.3%
FT%
33.5
RPG
12.1
APG
12.7
TO
74.5
Pace
60.9
AdjO
75.8
AdjD
#343
Rank
Model Outputs
2025-2026
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 → | 751 (#342) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 821 (#306) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 903 (#665) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -15.3 (#347) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.6 (#332) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.172 (#341) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.375 (#202) | NetEff -4.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.078 (#345) | AdjNet -21.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.076 (#345) | AdjNet -21.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.205 (#343) | AdjO 60.9 | AdjD 75.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.395 (#625) | AdjO 65.2 | AdjD 69.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.434 (#379) | 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 → | 0.411 (#393) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 862 (#598) | RD 169 | GP 29 |
2026 Schedule & Results
2026 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. Ndjonga
|
- | 29 | 32.7 | 14.0 | 5.8 | 1.8 | 0.5 | 0.6 | 2.3 | 11.8 | 8.7 | -86 | -3.7 | -5.6 | 41.8 | 30.5 | 75.8 | -0.65 | 51.4 | 46.1 |
K. Singleton
|
- | 28 | 34.9 | 14.0 | 3.3 | 1.0 | 0.2 | 0.1 | 0.6 | 10.6 | 7.3 | -94 | -4.1 | -5.8 | 41.9 | 39.6 | 88.2 | -0.86 | 59.8 | 55.7 |
M. Evbagharu
|
- | 28 | 33.6 | 9.2 | 6.7 | 3.1 | 1.2 | 0.1 | 2.4 | 7.2 | 10.8 | -139 | -6.3 | -9.3 | 49.3 | 33.3 | 65.8 | -0.57 | 55.2 | 52.0 |
M. Niblack
|
- | 7 | 22.1 | 6.9 | 4.3 | 2.9 | 1.9 | 0.0 | 2.3 | 7.9 | 5.7 | 24 | 3.4 | 6.4 | 29.1 | 10.0 | 82.4 | 0.48 | 38.4 | 30.9 |
J. Edwards
|
- | 25 | 23.4 | 6.6 | 1.9 | 2.0 | 0.8 | 0.0 | 2.0 | 6.0 | 3.2 | -17 | -1.2 | -14.4 | 34.9 | 31.6 | 68.6 | 0.35 | 47.8 | 43.3 |
M. Wilmoth
|
- | 29 | 23.5 | 5.4 | 4.8 | 1.5 | 0.4 | 1.0 | 1.4 | 5.3 | 6.4 | -144 | -6.3 | -12.7 | 33.5 | 29.7 | 69.4 | -0.96 | 44.5 | 39.7 |
A. Benard
|
- | 15 | 13.6 | 3.8 | 0.9 | 1.7 | 0.5 | 0.0 | 1.6 | 2.9 | 2.5 | -55 | -3.4 | -12.6 | 46.5 | 50.0 | 66.7 | -0.57 | 57.5 | 54.7 |
Christopher Kumu
|
- | 25 | 12.8 | 3.8 | 1.5 | 0.2 | 0.6 | 0.1 | 0.5 | 4.1 | 1.6 | -126 | -6.3 | -27.0 | 35.9 | 17.4 | 51.5 | -0.67 | 40.4 | 37.9 |
Brendan Oliver
|
- | 28 | 9.9 | 3.5 | 1.9 | 0.2 | 0.2 | 0.0 | 0.5 | 3.2 | 2.1 | -70 | -3.2 | -16.4 | 39.3 | 29.0 | 72.0 | -0.71 | 48.5 | 44.4 |
M. Jusianiec
|
G | 24 | 10.9 | 2.1 | 1.2 | 1.0 | 0.2 | 0.1 | 0.3 | 1.9 | 2.5 | -31 | -1.6 | -5.9 | 37.0 | 44.4 | 81.8 | -0.07 | 50.2 | 45.7 |
King Ijeoma
|
- | 25 | 9.8 | 2.0 | 1.8 | 0.1 | 0.2 | 0.6 | 0.5 | 1.7 | 2.6 | -23 | -1.2 | -9.9 | 48.8 | 20.0 | 61.5 | -0.32 | 52.3 | 50.0 |
E. van der Plas
|
- | 22 | 7.4 | 1.7 | 1.1 | 0.2 | 0.2 | 0.1 | 0.4 | 1.5 | 1.4 | -44 | -2.8 | -25.6 | 40.6 | 35.3 | 35.7 | -0.19 | 48.5 | 50.0 |
Andreo Ash
|
- | 8 | 3.9 | 1.0 | 0.8 | 0.2 | 0.1 | 0.1 | 0.5 | 0.5 | 1.2 | -6 | -1.0 | -29.4 | 75.0 | 0 | 100.0 | -0.13 | 82.0 | 75.0 |
T. Augustine
|
- | 7 | 1.7 | 0.6 | 0.1 | 0.0 | 0.0 | 0.0 | 0.3 | 0.4 | 0.0 | 3 | 0.5 | 87.8 | 33.3 | 33.3 | 50.0 | -0.0 | 51.5 | 50.0 |
Zach Christian
|
- | 7 | 2.1 | 0.4 | 0.1 | 0.0 | 0.3 | 0.0 | 0.3 | 0.9 | -0.3 | - | - | - | 16.7 | 20.0 | 0.0 | - | 23.3 | 25.0 |
N. DiGiulio
|
- | 7 | 2.0 | 0.3 | 0.0 | 0.3 | 0.1 | 0.1 | 0.3 | 0.4 | 0.1 | 3 | 0.5 | 87.8 | 0.0 | 0.0 | 100.0 | -0.0 | 25.8 | 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