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St. Francis Brooklyn

Also known as: St. Francis Brooklyn Terriers
Program History

2013 Team Stats (2 games)

82.5
PPG
71.4
Opp
-1.1
Margin
50.4%
FG%
40.5%
3P%
66.7%
FT%
31.5
RPG
16.5
APG
15.0
TO
83.4
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 → 915 (#848) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1074 (#324) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 971 (#460) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +14.9 (#344) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +2.9 (#265) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.8 More → 0.605 (#76) NetEff +3.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.1 | AdjD 68.0 More → 0.458 (#401) AdjO 66.1 | AdjD 68.0
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 → 0.529 (#264) 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 → 0.504 (#267) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 157 | GP 30 More → 924 (#340) RD 157 | GP 30

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%
J. Cannon J. Cannon F 30 30.3 14.7 8.8 0.7 1.0 0.4 1.4 1.4 22.6 -28 -1.0 -3.7 62.8 50.0 80.0 -0.15 443.5 64.0
B. Mockford B. Mockford G 30 28.6 11.1 1.6 1.0 0.6 0.0 0.8 1.5 12.0 -64 -2.1 -3.2 40.0 40.0 100.0 -1.06 355.0 55.6
A. Johnson A. Johnson F 30 25.5 10.0 5.8 1.6 0.6 0.7 2.0 1.0 15.7 13 0.4 1.1 46.7 0 61.1 0.55 396.9 46.7
T. Nichols T. Nichols F 28 17.8 9.6 4.1 0.4 0.3 0.1 0.8 1.0 12.7 -54 -1.9 -3.4 34.5 36.4 83.3 -0.78 425.1 41.4
K. Douglas K. Douglas G 16 19.6 7.4 3.4 0.4 0.4 0.6 1.1 0.9 10.1 -55 -3.4 -8.9 60.0 50.0 50.0 -0.37 355.0 70.0
B. Jones B. Jones G 30 20.9 6.0 2.3 4.2 1.0 0.1 2.7 0.8 10.2 74 2.5 8.4 30.4 16.7 54.5 0.54 321.5 32.6
D. Calloway D. Calloway G 29 19.1 5.2 1.4 2.8 1.0 0.1 1.8 0.7 8.1 -41 -1.4 -2.7 42.1 100.0 47.1 -0.31 287.0 44.7
A. Isailovic A. Isailovic G 30 17.7 3.4 1.3 0.6 0.6 0.1 0.4 0.3 5.3 -12 -0.4 -1.0 50.0 42.9 0 -0.02 631.2 68.8
P.J. Santavenere P.J. Santavenere G 27 11.0 3.0 1.0 0.3 0.5 0.0 0.4 0.4 4.0 -11 -0.4 -1.3 41.7 30.0 75.0 0.19 298.0 54.2
L. Ulmer L. Ulmer F 24 7.6 2.2 1.8 0.3 0.4 0.1 0.5 0.3 4.0 11 0.5 1.6 75.0 0 0.0 -0.04 314.0 75.0
A. White A. White G 26 12.6 2.0 1.7 1.0 0.6 0.2 0.7 0.3 4.5 172 4.5 6.7 22.2 0.0 50.0 1.01 263.2 22.2
M. Trivic M. Trivic F 5 2.4 1.2 0.4 0.0 0.0 0.0 0.0 0.0 1.6 - - - 0 0 0 - 0 0
M. Milk M. Milk C 27 5.3 0.7 0.7 0.2 0.0 0.1 0.3 0.0 1.4 -24 -0.9 -4.8 0.0 0 0 -0.32 950.0 0.0
M. Nierva M. Nierva - 3 1.7 0.0 0.7 0.3 0.0 0.0 0.3 0.0 0.7 - - - 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