🐻⬇️🏀

North Florida

Also known as: North Florida Ospreys
Program History

2013 Team Stats (3 games)

64.3
PPG
69.8
Opp
-3.5
Margin
41.3%
FG%
34.3%
3P%
70.7%
FT%
30.3
RPG
14.0
APG
16.7
TO
78.3
Pace

Model Outputs

2012-2013
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 → 913 (#853) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1156 (#263) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 987 (#422) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +15.8 (#329) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +3.4 (#253) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -23.6 More → 0.060 (#247) NetEff -23.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.5 | AdjD 65.1 More → 0.508 (#207) AdjO 65.5 | AdjD 65.1
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 → 0.506 (#275) 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 → 0.493 (#273) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 149 | GP 33 More → 921 (#343) RD 149 | GP 33

2013 Schedule & Results

2013 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%
P. Smith P. Smith G 32 32.3 16.2 3.4 1.6 0.6 0.1 2.1 4.4 15.4 -68 -2.1 -2.9 43.6 43.2 84.8 0.04 162.3 58.2
T. Wallace T. Wallace F 32 23.9 14.2 5.2 0.7 0.5 0.9 1.5 3.2 16.7 17 0.5 0.9 53.8 0 70.7 0.75 185.6 53.8
J. Granberry J. Granberry G 5 31.0 9.2 3.4 1.2 1.0 0.2 1.4 4.6 9.0 -34 -6.8 -9.6 39.1 35.7 100.0 -0.2 96.3 50.0
B. Beech B. Beech G 32 23.8 7.9 3.8 1.2 1.1 0.5 1.6 2.2 10.7 -45 -1.4 -2.5 37.5 34.1 52.9 -0.4 159.2 47.9
A. Diaz A. Diaz F 27 16.3 6.9 3.3 0.5 0.6 0.6 1.8 2.0 8.0 36 1.4 4.8 52.7 0 45.5 -0.29 143.0 52.7
C. McRoy C. McRoy F 32 19.2 6.1 3.1 0.9 0.5 0.1 1.1 2.2 7.4 -58 -1.8 -3.3 47.2 30.8 62.5 -0.2 124.0 52.8
D. Daniels D. Daniels F 31 11.8 3.8 2.0 0.3 0.5 1.0 0.5 1.3 5.7 47 1.6 2.8 45.0 45.0 66.7 0.49 138.4 56.2
D. Jeune D. Jeune F 32 23.9 3.7 4.9 1.4 0.6 0.4 1.7 1.3 8.0 -75 -2.3 -4.3 34.1 21.1 76.9 -0.82 126.3 39.0
W. Wilson W. Wilson G 32 31.6 3.7 2.5 6.1 1.4 0.1 2.3 1.5 9.9 -45 -1.4 -2.0 38.8 33.3 60.0 0.04 109.6 42.9
R. Rodriguez R. Rodriguez G 32 9.1 2.4 0.8 0.9 0.1 0.0 1.4 0.8 2.0 -34 -1.1 -4.1 34.6 36.8 0 -0.07 150.0 48.1
C. Naylor C. Naylor F 22 8.8 1.5 1.0 0.3 0.2 0.2 0.6 0.6 2.0 -56 -2.5 -10.1 7.1 0.0 75.0 -0.75 94.2 7.1
J. Smith J. Smith - 3 2.3 0.7 0.0 0.0 0.3 0.0 0.0 0.7 0.3 57 8.1 24.1 50.0 0 0 0.7 50.0 50.0

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