🐻⬇️🏀

Maine Black

Also known as: Maine Black Bears
Program History

2013 Team Stats (2 games)

67.5
PPG
69.7
Opp
-3.4
Margin
44.0%
FG%
32.3%
3P%
55.6%
FT%
35.0
RPG
14.0
APG
16.0
TO
84.4
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 → 1000 (#339) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1076 (#323) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 934 (#511) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +13.5 (#364) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +3.8 (#245) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -20.9 More → 0.085 (#225) NetEff -20.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.1 | AdjD 66.6 More → 0.467 (#376) AdjO 65.1 | AdjD 66.6
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 → 0.474 (#297) 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 → 0.462 (#300) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 151 | GP 30 More → 890 (#428) RD 151 | GP 30

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-10 @ Dartmouth Big Green L 54 - 67
2012-11-14 @ Holy Cross Crusaders L 54 - 57
2012-11-17 vs Brown Bears L 68 - 70
2012-11-21 @ Seton Hall Pirates L 49 - 76
2012-11-25 vs Siena Saints W 72 - 66
2012-11-28 @ Northeastern Huskies W 76 - 73
2012-12-01 @ Duquesne Dukes L 73 - 87
2012-12-06 vs Fisher College Eagles W 97 - 42
2012-12-09 @ Florida State Seminoles L 59 - 91
2012-12-14 @ Army Black Knights L 67 - 96
2012-12-16 @ Marist Red Foxes L 69 - 94
2012-12-22 vs Florida Gulf Coast Eagles W 84 - 78
2012-12-29 @ Quinnipiac Bobcats W 76 - 71
2013-01-02 vs Boston University Terriers W 63 - 58
2013-01-05 vs UMBC Retrievers W 81 - 66
2013-01-09 @ Hartford Hawks L 61 - 68
2013-01-12 @ Albany Great Danes L 63 - 76
2013-01-19 vs Binghamton Bearcats L 56 - 57
2013-01-22 vs Vermont Catamounts W 71 - 68
2013-01-26 @ Stony Brook Seawolves L 69 - 79
2013-01-30 vs New Hampshire Wildcats L 54 - 57
2013-02-02 @ UMBC Retrievers L 67 - 68
2013-02-05 @ Boston University Terriers L 72 - 79
2013-02-09 vs Albany Great Danes W 66 - 52
2013-02-13 vs Hartford Hawks W 66 - 64
2013-02-16 @ Binghamton Bearcats W 64 - 60
2013-02-20 @ Vermont Catamounts L 61 - 73
2013-02-24 vs Stony Brook Seawolves L 53 - 69
2013-03-03 @ New Hampshire Wildcats L 74 - 79
2013-03-09 @ Albany Great Danes L 49 - 50

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. Edwards J. Edwards G 29 32.8 16.7 5.2 3.4 1.9 0.4 4.1 3.4 20.2 65 2.0 3.0 45.9 22.2 72.1 0.86 207.4 49.0
A. Fraser A. Fraser F 30 33.3 13.4 8.1 1.6 0.8 1.5 2.2 2.4 20.8 -1 -0.0 -0.0 50.7 0.0 64.7 0.64 256.1 50.7
X. Pollard X. Pollard G 29 29.1 9.7 4.4 4.3 1.2 0.0 2.9 2.1 14.7 -35 -1.2 -1.7 45.0 6.7 66.7 0.19 220.5 45.8
Z. Valjarevic Z. Valjarevic C 22 20.8 8.4 1.3 0.5 0.7 0.1 0.9 0.9 9.2 -52 -2.3 -4.3 35.0 41.2 50.0 -0.47 443.0 52.5
J. Mesghna J. Mesghna F 26 25.2 6.6 3.2 1.2 0.4 0.0 1.2 1.9 8.4 -13 -0.5 -0.9 36.7 34.2 33.3 0.17 170.9 50.0
M. Allison M. Allison F-C 29 28.7 6.5 7.3 0.1 0.4 1.7 0.9 1.4 13.7 -17 -0.6 -0.9 50.0 0 64.3 0.13 180.6 50.0
D. Akanda-Coronel D. Akanda-Coronel G 13 9.1 3.4 0.9 0.3 0.9 0.1 1.2 0.3 4.1 - - - 50.0 50.0 100.0 - 450.8 62.5
S. Lawton S. Lawton G 25 14.9 3.3 1.5 2.1 1.1 0.1 1.7 0.6 5.8 -97 -3.9 -8.5 46.7 25.0 50.0 -1.11 244.6 50.0
T. Gloger T. Gloger F 29 14.3 2.9 2.3 0.0 0.2 0.2 0.6 0.7 4.4 -111 -3.8 -8.6 50.0 0 75.0 -0.96 193.0 50.0
E. Mackey E. Mackey F 1 3.0 2.0 1.0 0.0 0.0 0.0 0.0 0.0 3.0 - - - 0 0 0 -0.08 0 0
S. Micovic S. Micovic C 6 7.5 1.7 0.5 0.0 0.3 0.5 0.5 0.2 2.3 7 1.2 4.2 0.0 0.0 0 -0.06 500.0 0.0
J. McAllian J. McAllian G 19 9.2 1.5 0.8 0.5 0.3 0.1 0.4 0.3 2.5 -44 -2.3 -6.6 40.0 40.0 0 -0.32 290.0 60.0
K. Cato K. Cato F 10 6.6 1.5 1.3 0.2 0.2 0.1 0.3 0.4 2.6 -20 -1.8 -6.6 25.0 0.0 0.0 -0.26 168.9 25.0
L. Cooper L. Cooper G 5 12.6 1.4 1.8 0.6 0.4 0.0 2.2 0.8 1.2 -1 -0.2 -0.5 25.0 0 0 0.14 87.5 25.0
L. Hettermann L. Hettermann G 2 2.0 0.0 0.5 0.0 0.5 0.0 0.0 0.0 1.0 - - - 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