🐻⬇️🏀

Green Bay

Also known as: Green Bay Phoenix, Green Bay
Program History

2013 Team Stats (3 games)

77.3
PPG
63.0
Opp
+3.1
Margin
50.3%
FG%
48.9%
3P%
77.4%
FT%
37.0
RPG
19.3
APG
10.3
TO
73.8
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 → 1216 (#208) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1283 (#141) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1044 (#114) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +17.2 (#294) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +9.9 (#143) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +26.8 More → 0.957 (#7) NetEff +26.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.8 | AdjD 61.1 More → 0.561 (#142) AdjO 63.8 | AdjD 61.1
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 → 0.738 (#127) 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 → 0.711 (#129) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 117 | GP 35 More → 1093 (#126) RD 117 | GP 35

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-10 vs Chicago State Cougars W 72 - 67
2012-11-16 @ Southern Utah Thunderbirds W 66 - 54
2012-11-17 @ Nevada Wolf Pack L 69 - 71
2012-11-18 vs Cal State Fullerton Titans L 82 - 93
2012-11-20 @ Idaho Vandals L 62 - 72
2012-11-24 vs North Dakota State Bison W 74 - 59
2012-12-01 @ Virginia Cavaliers L 51 - 67
2012-12-06 @ Tennessee Tech Golden Eagles L 68 - 74
2012-12-12 @ Wisconsin Badgers L 54 - 65
2012-12-15 vs Southern Illinois Salukis L 70 - 72
2012-12-19 vs Marquette Golden Eagles W 49 - 47
2012-12-22 vs South Dakota Coyotes W 72 - 55
2012-12-30 vs Illinois-Springfield Prairie Stars W 84 - 43
2013-01-03 @ Wright State Raiders L 53 - 64
2013-01-05 @ Detroit Mercy Titans L 76 - 84
2013-01-09 vs Loyola Chicago Ramblers W 58 - 45
2013-01-12 vs UIC Flames W 53 - 47
2013-01-17 vs Youngstown State Penguins W 67 - 58
2013-01-19 vs Cleveland State Vikings W 77 - 50
2013-01-23 @ Valparaiso Beacons L 61 - 73
2013-01-25 @ Milwaukee Panthers W 74 - 54
2013-01-31 @ UIC Flames L 57 - 60
2013-02-02 @ Loyola Chicago Ramblers W 73 - 65
2013-02-07 vs Wright State Raiders L 68 - 70
2013-02-09 vs Detroit Mercy Titans W 68 - 59
2013-02-15 @ Cleveland State Vikings W 66 - 59
2013-02-17 @ Youngstown State Penguins W 71 - 54
2013-02-23 @ Drake Bulldogs L 54 - 71
2013-02-26 vs Milwaukee Panthers W 78 - 61
2013-03-02 vs Valparaiso Beacons L 56 - 75
2013-03-05 vs Milwaukee Panthers W 62 - 46
2013-03-08 vs UIC Flames W 64 - 63
2013-03-09 @ Valparaiso Beacons L 69 - 70
2013-03-20 @ Bradley Braves L 69 - 75

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%
K. Sykes K. Sykes G 34 34.6 15.9 3.3 4.3 1.1 0.1 2.5 2.2 20.0 112 3.4 4.6 44.0 30.8 73.3 0.76 307.3 46.7
A. Brown A. Brown F 34 30.6 14.1 6.0 1.2 0.6 1.7 2.6 2.3 18.7 90 2.7 4.3 51.9 46.2 85.2 0.75 263.5 55.7
B. Cougill B. Cougill F-C 30 21.6 9.0 5.3 1.6 0.5 0.6 2.1 1.3 13.5 28 1.0 1.6 48.7 30.8 81.2 0.11 292.1 53.8
J. Fouse J. Fouse G 34 29.3 6.8 7.9 2.0 1.6 1.4 1.6 0.9 17.2 19 0.6 0.9 43.3 0 50.0 -0.4 335.8 43.3
G. Mays G. Mays F 31 20.3 6.5 4.7 0.4 0.3 0.6 1.0 0.5 11.0 42 1.4 2.9 47.1 0 75.0 0.3 489.8 47.1
K. Cerroni K. Cerroni G 23 22.0 6.1 1.1 0.7 0.5 0.0 1.0 1.0 6.5 59 2.6 4.4 34.8 40.0 88.9 0.5 259.6 47.8
S. Muhammad S. Muhammad G 34 23.4 5.7 2.3 1.3 0.5 0.1 1.1 0.9 7.9 114 3.5 6.2 48.3 47.8 33.3 0.97 319.9 67.2
C. Stefan C. Stefan G 19 13.9 3.4 1.1 1.0 0.6 0.0 0.8 0.5 4.7 -13 -0.7 -1.7 30.0 28.6 50.0 -0.51 294.1 40.0
C. Love C. Love G 34 15.8 2.6 1.4 1.5 0.6 0.1 1.1 0.4 4.7 21 0.6 1.4 26.7 0.0 66.7 0.3 255.1 26.7
D. Turner D. Turner F 13 12.2 1.8 1.5 0.5 0.5 0.1 1.1 0.5 2.8 13 1.1 2.8 50.0 33.3 100.0 -0.09 174.4 58.3
N. Arenz N. Arenz F-C 16 6.0 0.8 0.7 0.1 0.1 0.2 0.2 0.2 1.5 43 2.7 9.7 66.7 0 0 0.39 216.7 66.7

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