🐻⬇️🏀

Bellarmine Knights

Season: 2026 2025 2024 2023 2022 2021
Also known as: Bellarmine Knights
Program History

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
Catalog

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. HCA +113 elo More → 774 (#592) HCA +113 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -34.4 (#363) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 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. NetEff -42.9 More → 0.003 (#363) NetEff -42.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -52.0 More → 0.002 (#363) AdjNet -52.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -52.5 More → 0.002 (#363) AdjNet -52.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 48.4 | AdjD 82.3 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. AdjO 47.8 | AdjD 79.2 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 170 | GP 29 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 E. Toller G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
M. Brown 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 A. Rodgers F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
H. Abdel Aal 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