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Maine Black

Season: 2026 2025 2024 2023 2022 2020 2019 2018 2017 2016
Also known as: Maine Black Bears
Program History
Coach: Richard Barron

2022 Team Stats (1 games)

56.0
PPG
70.8
Opp
-8.7
Margin
39.5%
FG%
14.3%
3P%
76.9%
FT%
33.0
RPG
13.0
APG
18.0
TO
72.4
Pace

Model Outputs

2021-2022
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 → 884 (#694) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 993 (#332) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 864 (#630) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +13.7 (#348) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → -0.8 (#364) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -12.4 More → 0.177 (#231) NetEff -12.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.2 | AdjD 71.6 More → 0.359 (#604) AdjO 65.2 | AdjD 71.6
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 → 0.346 (#432) 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 → 0.332 (#461) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 165 | GP 28 More → 769 (#632) RD 165 | GP 28

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-09 @ Virginia Tech Hokies L 47 - 82
2021-11-12 vs Maine-Farmington Highlanders W 71 - 52
2021-11-15 @ Colorado Buffaloes L 46 - 90
2021-11-19 vs Maine-Fort Kent Bengals W 75 - 43
2021-11-23 vs Central Connecticut Blue Devils L 56 - 64
2021-11-27 @ Bradley Braves L 39 - 71
2021-12-04 @ Columbia Lions L 66 - 77
2021-12-11 @ Quinnipiac Bobcats L 47 - 73
2021-12-18 vs New England Noreasters W 86 - 50
2021-12-21 vs Merrimack Warriors L 47 - 49
2021-12-30 @ Rutgers Scarlet Knights L 64 - 80
2022-01-02 @ NJIT Highlanders L 66 - 69
2022-01-16 vs Binghamton Bearcats L 65 - 73
2022-01-19 @ UMass Lowell River Hawks L 62 - 71
2022-01-22 vs UMBC Retrievers L 46 - 88
2022-01-24 vs New Hampshire Wildcats W 71 - 64
2022-01-26 @ New Hampshire Wildcats L 61 - 73
2022-01-29 @ Vermont Catamounts L 68 - 81
2022-01-31 vs Hartford Hawks L 66 - 78
2022-02-02 vs UMass Lowell River Hawks L 50 - 62
2022-02-05 @ Binghamton Bearcats L 60 - 69
2022-02-09 @ Albany Great Danes W 73 - 63
2022-02-13 vs Stony Brook Seawolves L 74 - 85
2022-02-16 @ Hartford Hawks L 65 - 75
2022-02-20 vs NJIT Highlanders W 65 - 61
2022-02-23 vs Albany Great Danes L 68 - 72
2022-02-26 @ UMBC Retrievers L 79 - 93
2022-03-01 vs Vermont Catamounts L 56 - 75

2022 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%
M. Faw M. Faw F 1 24.0 14.0 5.0 0.0 0.0 2.0 0.0 0.0 21.0 -32 -1.3 -2.4 0 0 0 0.29 0 0
S. Ingo S. Ingo - 3 33.0 14.0 5.3 0.7 1.7 3.0 1.0 2.3 21.3 -91 -5.4 -8.3 85.7 0 50.0 -0.25 239.7 85.7
L. DuHart L. DuHart - 13 27.2 8.5 2.5 1.1 0.8 0.0 1.8 2.8 8.5 -101 -7.8 -11.4 30.6 26.1 0 -0.98 154.2 38.9
V. Masic V. Masic G 1 30.0 8.0 6.0 4.0 0.0 0.0 2.0 3.0 13.0 -182 -6.5 -9.8 33.3 0.0 75.0 -0.75 61.3 33.3
J. Wright-Mcleish J. Wright-Mcleish - 28 27.4 7.2 2.0 1.7 0.9 0.2 1.0 0.2 10.9 - - - 33.3 33.3 0 0.47 1675.0 41.7
M. Klanjscek M. Klanjscek - 2 31.0 5.5 1.5 3.5 0.0 1.0 2.5 0.0 9.0 - - - 0 0 0 -0.88 0 0
Filipovity, Peter Filipovity, Peter - 23 13.1 5.3 2.9 0.4 0.7 0.1 0.7 0.0 8.7 - - - 100.0 0 0 - 6050.0 100.0
Klanjscek, Maks Klanjscek, Maks - 1 17.0 5.0 0.0 1.0 2.0 0.0 1.0 3.0 4.0 - - - 33.3 0.0 100.0 - 57.9 33.3
K. Feierbergs K. Feierbergs - 24 13.2 4.6 2.5 0.9 0.3 0.1 0.9 0.1 7.3 -121 -4.8 -14.3 0.0 0.0 0 -0.92 1833.3 0.0
S. Ihekwoaba S. Ihekwoaba G 3 10.0 4.3 1.0 0.3 0.3 0.3 0.7 1.3 4.3 -40 -1.5 -4.1 50.0 0 0.0 -0.15 146.4 50.0
A. Adetogun A. Adetogun - 27 17.7 4.1 3.0 1.4 0.8 0.2 1.0 0.6 7.9 -171 -6.1 -13.8 31.2 0.0 82.4 -1.25 234.2 31.2
A. Turgut A. Turgut - 26 14.5 3.2 1.5 1.1 0.3 0.2 0.9 0.4 4.9 -98 -3.6 -9.6 54.5 50.0 60.0 -0.68 314.4 59.1
Byron Ireland Byron Ireland - 3 6.7 2.3 1.3 0.7 0.0 0.0 1.7 0.3 2.3 -45 -1.7 -5.0 0.0 0 75.0 -0.09 126.8 0.0
M. Nenadic M. Nenadic - 15 6.4 2.2 1.7 0.3 0.1 0.1 0.5 0.1 3.8 -37 -2.5 -14.9 0.0 0.0 0 -0.44 825.0 0.0
C. Efretuei C. Efretuei C 1 6.0 2.0 1.0 0.0 0.0 0.0 0.0 2.0 1.0 -30 -1.6 -6.7 50.0 0 0 -0.15 50.0 50.0
Novak Perovic Novak Perovic F 11 8.8 2.0 1.0 0.2 0.7 0.0 0.6 0.4 2.9 20 1.7 7.9 25.0 0.0 50.0 0.3 225.4 25.0
M. Prock M. Prock - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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