Bellarmine Knights
2026 Team Stats (29 games)
47.6
PPG
83.6
Opp
-36.0
Margin
31.2%
FG%
26.4%
3P%
67.6%
FT%
31.1
RPG
8.0
APG
20.6
TO
78.9
Pace
48.4
AdjO
82.3
AdjD
#363
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 → | 654 (#348) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 576 (#356) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 774 (#592) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -34.4 (#363) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -29.7 (#537) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.002 (#363) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.003 (#363) | NetEff -42.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.002 (#363) | AdjNet -52.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.002 (#363) | AdjNet -52.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.044 (#363) | AdjO 48.4 | AdjD 82.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.055 (#592) | AdjO 47.8 | AdjD 79.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.069 (#554) | 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 → | 0.058 (#582) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 603 (#588) | RD 170 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Ralston
|
G | 8 | 30.1 | 13.9 | 5.9 | 3.2 | 2.0 | 0.0 | 3.6 | 9.4 | 12.0 | -69 | -6.3 | -7.4 | 36.0 | 31.6 | 85.0 | 2.78 | 54.7 | 40.0 |
K. Hyman
|
F | 29 | 32.4 | 10.4 | 4.0 | 1.3 | 0.8 | 0.1 | 4.6 | 10.9 | 1.2 | -399 | -16.6 | -23.0 | 31.1 | 27.7 | 79.0 | -2.44 | 41.2 | 33.2 |
A. Smith
|
G | 27 | 34.8 | 10.4 | 3.4 | 1.9 | 0.3 | 0.1 | 3.5 | 12.3 | 0.2 | 60 | 4.6 | 9.5 | 29.1 | 26.8 | 67.9 | 4.23 | 39.4 | 36.8 |
R. Jamison
|
F | 12 | 30.0 | 10.2 | 4.5 | 1.2 | 0.4 | 0.5 | 3.2 | 10.5 | 3.1 | 21 | 5.2 | 370.6 | 32.5 | 25.0 | 73.0 | 0.18 | 43.2 | 38.1 |
S. Hughes
|
F | 1 | 10.0 | 7.0 | 5.0 | 0.0 | 1.0 | 0.0 | 2.0 | 7.0 | 4.0 | -3 | -3.0 | -19.5 | 28.6 | 0.0 | 100.0 | -0.38 | 42.1 | 28.6 |
A. Harris
|
G | 5 | 34.4 | 6.8 | 1.0 | 3.8 | 0.6 | 0.2 | 1.8 | 8.6 | 2.0 | 191 | 8.7 | 12.8 | 32.6 | 21.4 | 100.0 | 3.13 | 38.4 | 36.0 |
A. Chiquemba
|
F | 28 | 27.2 | 6.7 | 3.4 | 1.0 | 0.4 | 0.0 | 2.2 | 7.8 | 1.5 | -394 | -16.4 | -25.9 | 30.1 | 27.7 | 63.9 | -4.01 | 40.0 | 37.7 |
R. Shropshire
|
F | 15 | 24.7 | 5.3 | 3.5 | 0.6 | 0.4 | 0.3 | 3.4 | 5.0 | 1.7 | -262 | -14.6 | -25.2 | 28.0 | 33.3 | 72.2 | -5.84 | 43.5 | 35.3 |
Hay. Abdel Aal
|
C | 22 | 18.4 | 4.5 | 4.0 | 0.4 | 0.3 | 0.8 | 2.0 | 4.5 | 3.5 | -218 | -11.5 | -28.1 | 42.0 | 0.0 | 32.0 | -3.06 | 41.0 | 42.0 |
K. Wingler
|
G | 1 | 29.0 | 4.0 | 5.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 | 2.0 | 26 | 13.0 | 25.4 | 50.0 | 0.0 | 0 | 1.07 | 50.0 | 50.0 |
P. Sherrill
|
C | 23 | 17.7 | 3.3 | 4.0 | 0.7 | 0.7 | 0.1 | 1.8 | 4.5 | 2.5 | -293 | -12.2 | -28.1 | 31.7 | 0.0 | 35.7 | -3.15 | 32.7 | 31.7 |
M. Janszen
|
G | 11 | 20.3 | 1.7 | 2.5 | 0.5 | 0.4 | 0.2 | 0.8 | 1.4 | 3.2 | - | - | - | 33.3 | 30.0 | 75.0 | -2.5 | 51.3 | 43.3 |
C. Bryant
|
G | 11 | 17.4 | 1.5 | 0.3 | 0.3 | 0.6 | 0.0 | 1.1 | 1.6 | -0.1 | - | - | - | 27.8 | 20.0 | 60.0 | 0.72 | 39.6 | 36.1 |
O. Pifer
|
G | 17 | 28.2 | 1.1 | 4.1 | 0.6 | 0.9 | 0.0 | 1.2 | 1.2 | 4.4 | -215 | -23.9 | -36.7 | 25.0 | 22.2 | 66.7 | -4.81 | 39.8 | 35.0 |
M. Daniels
|
G | 14 | 7.3 | 0.8 | 0.6 | 0.1 | 0.1 | 0.0 | 0.6 | 1.4 | -0.3 | -52 | -7.4 | -37.4 | 21.1 | 25.0 | 33.3 | -2.08 | 27.1 | 26.3 |
C. Slocum
|
F | 11 | 14.2 | 0.5 | 1.7 | 0.1 | 0.4 | 0.0 | 0.7 | 1.3 | 0.7 | - | - | - | 14.3 | 0 | 50.0 | -3.09 | 19.0 | 14.3 |
M. Wearsch
|
G | 10 | 4.0 | 0.4 | 0.2 | 0.1 | 0.1 | 0.0 | 0.2 | 0.6 | 0.0 | - | - | - | 33.3 | 0.0 | 0 | -0.79 | 33.3 | 33.3 |
E. Toller
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Brown
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 163 | 7.1 | 9.9 | 0 | 0 | 0 | 3.88 | 0 | 0 |
A. Rodgers
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
H. Abdel Aal
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -218 | -11.5 | -28.1 | - | - | - | -3.06 | - | - |
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