🐻⬇️🏀

Northern Kentucky Norse

Also known as: Northern Kentucky Norse
Program History

2026 Team Stats (32 games)

83.1
PPG
77.7
Opp
+5.2
Margin
47.0%
FG%
34.5%
3P%
70.4%
FT%
35.0
RPG
15.9
APG
11.6
TO
83.1
Pace

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 → 1006 (#174) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 990 (#191) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → 1011 (#152) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → -0.8 (#171) -
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → +0.7 (#161) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.611 (#115) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted More → Unavailable ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted More → Unavailable ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted More → Unavailable ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → 0.492 (#170) -
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → 0.547 (#117) -
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted More → Unavailable ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted More → Unavailable ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → 1013 (#169) -

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%
D. Oday D. Oday G 31 29.3 18.6 3.7 1.9 2.1 0.5 2.0 12.4 12.5 54 4.5 22.2 50.1 33.1 81.4 0.52 63.0 57.2
D. Gherezgher D. Gherezgher G 31 29.2 15.6 3.0 2.7 0.8 0.1 2.3 12.9 7.1 27 1.9 7.6 42.1 38.1 71.1 -0.15 55.7 53.4
LJ Wells LJ Wells F 30 30.4 15.0 7.2 2.1 1.4 0.9 1.8 9.4 15.4 121 6.7 11.3 55.9 29.8 67.2 -0.23 62.4 58.4
K. Robinson K. Robinson - 28 26.2 14.0 4.4 1.4 0.8 0.5 1.5 10.6 9.0 11 0.5 1.1 45.6 40.6 78.3 -0.14 59.8 56.9
T. Dozier T. Dozier - 31 29.0 8.8 5.2 2.3 1.6 1.1 0.9 6.4 11.7 31 2.8 17.9 49.7 34.0 66.7 0.01 60.7 58.8
E. Elliott E. Elliott - 29 28.6 5.5 2.8 4.6 1.0 0.1 1.4 5.8 6.7 -16 -1.3 -3.1 36.1 28.4 47.1 -0.26 43.2 42.3
D. Rakotonanahary D. Rakotonanahary - 29 11.8 3.0 2.3 0.4 0.6 0.1 0.3 1.8 4.3 65 2.8 12.3 70.6 33.3 59.1 0.25 70.9 71.6
S. Nelson S. Nelson - 25 11.7 2.9 1.7 0.7 0.5 0.0 0.8 3.0 2.1 -20 -3.3 -69.8 35.1 16.7 53.3 -0.15 41.9 38.5
M. Minor M. Minor - 3 1.7 2.3 0.0 0.0 0.0 0.0 0.0 1.0 1.3 1 0.2 61.5 100.0 100.0 0 0.0 116.7 116.7
B. Darbyshire B. Darbyshire G 23 6.7 1.1 1.0 0.4 0.4 0.0 0.3 1.1 1.5 22 1.3 28.0 40.0 28.6 33.3 -0.25 47.0 48.0
A. Archer A. Archer - 19 6.4 1.1 1.4 0.2 0.1 0.2 0.3 0.8 1.8 -45 -3.5 -37.0 40.0 50.0 70.0 -0.08 51.5 43.3
R. Tolliver R. Tolliver - 19 6.4 1.0 1.7 0.3 0.3 0.1 0.4 0.8 2.3 -1 -0.1 -0.7 46.7 0.0 71.4 0.07 52.5 46.7
Juanma Ruiz Juanma Ruiz F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
JJ Apathjang JJ Apathjang G 0 - 0.0 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