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Boston University

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: Boston University Terriers
Program History
Coach: Joe Jones

2018 Team Stats (5 games)

79.0
PPG
74.0
Opp
+5.0
Margin
50.5%
FG%
41.0%
3P%
68.1%
FT%
33.4
RPG
13.0
APG
12.6
TO
-
Est. poss./game
67.1
Adj PPG
72.6
Adj Opp PPG
#249
Scoring Rank

Model Outputs

2017-2018
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 → 852 (#253) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 934 (#221) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 999 (#176) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -6.2 (#253) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → -6.0 (#258) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.401 (#228) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.8 More → 0.245 (#263) AdjNet -9.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -9.8 More → 0.245 (#262) AdjNet -9.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.1 | AdjD 72.6 More → 0.378 (#249) AdjO 67.1 | AdjD 72.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.2 | AdjD 70.1 More → 0.435 (#234) AdjO 67.2 | AdjD 70.1
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 → 0.354 (#241) 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 → 0.365 (#242) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 143 | GP 30 More → 899 (#236) RD 143 | GP 30

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Northeastern Huskies L 59 - 65
2017-11-13 vs UAlbany Great Danes L 74 - 88
2017-11-19 @ UConn Huskies L 66 - 85
2017-11-22 @ Maine Black Bears W 78 - 69
2017-11-26 vs Wheaton (MA) WHEATON (MA) W 83 - 48
2017-11-29 @ New Hampshire Wildcats W 70 - 69
2017-12-05 @ Miami Hurricanes L 54 - 69
2017-12-08 @ Bethune-Cookman Wildcats W 90 - 87
2017-12-13 @ UMass Lowell River Hawks L 82 - 87
2017-12-17 vs Elon Phoenix L 69 - 77
2017-12-21 @ Harvard Crimson L 63 - 74
2017-12-29 vs Army Black Knights W 90 - 82
2018-01-02 @ Bucknell Bison W 84 - 79
2018-01-05 @ Loyola Maryland Greyhounds L 65 - 68
2018-01-08 vs Lehigh Mountain Hawks W 92 - 81
2018-01-11 vs Colgate Raiders W 72 - 58
2018-01-14 @ Holy Cross Crusaders W 54 - 40
2018-01-17 vs American University Eagles L 58 - 69
2018-01-20 @ Navy Midshipmen W 75 - 68
2018-01-24 @ Lafayette Leopards W 75 - 72
2018-01-28 vs Bucknell Bison L 79 - 91
2018-01-31 vs Loyola Maryland Greyhounds W 64 - 55
2018-02-03 @ Lehigh Mountain Hawks L 75 - 80
2018-02-07 @ Colgate Raiders L 60 - 74
2018-02-10 vs Holy Cross Crusaders L 62 - 73
2018-02-14 @ American University Eagles L 56 - 60
2018-02-17 vs Navy Midshipmen L 48 - 62
2018-02-21 vs Lafayette Leopards W 81 - 65
2018-02-24 @ Army Black Knights W 61 - 59
2018-03-01 @ Lehigh Mountain Hawks W 88 - 82
2018-03-04 @ Bucknell Bison L 59 - 90

2018 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Max Mahoney Max Mahoney F 29 21.0 13.1 4.9 1.2 0.7 0.9 1.8 5.1 13.8 21 28 0.8 1.5 62.6 0 56.6 0.84 111.3 62.6
Cedric Hankerson Cedric Hankerson G 25 27.1 12.9 3.4 1.6 1.5 0.2 1.7 3.9 14.0 -11 23 -0.5 -0.8 44.3 34.1 64.7 -2.3 143.8 52.1
Tyler Scanlon Tyler Scanlon F 30 31.0 10.0 5.6 3.0 1.4 0.1 2.0 3.9 14.3 24 29 0.8 1.1 49.6 37.5 77.3 1.53 110.0 57.3
Walter Whyte Walter Whyte G 26 24.5 9.2 5.0 1.1 0.8 0.5 1.7 3.2 11.7 -22 25 -0.9 -1.5 42.9 50.0 73.7 -0.56 118.1 48.2
Javante McCoy Javante McCoy - 30 25.7 9.0 2.7 1.7 0.9 0.2 1.8 3.8 8.8 -19 29 -0.7 -1.1 45.6 50.0 63.3 -2.01 106.1 56.1
Cheddi Mosely Cheddi Mosely G 2 15.5 7.5 3.0 0.5 0.5 0.0 1.0 0.0 10.5 - - - - 0 0 0 - 0 0
Nick Havener Nick Havener F 26 15.0 6.5 3.8 1.0 0.8 0.9 1.7 2.5 8.9 15 25 0.6 1.7 50.0 0.0 65.0 -0.62 116.8 50.0
Destin Barnes Destin Barnes F 2 16.5 6.0 4.0 1.5 0.0 0.0 0.0 0.0 11.5 - - - - 0 0 0 - 0 0
Will Goff Will Goff G 29 25.3 5.9 1.5 1.0 0.7 0.3 0.8 2.5 6.1 45 29 1.6 2.6 43.8 41.9 70.0 0.45 104.5 61.6
Eric Johnson Eric Johnson G 28 17.0 2.9 1.6 1.9 0.5 0.1 0.8 1.2 4.8 47 27 1.7 4.4 31.4 27.3 75.0 1.16 87.8 40.0
Sukhmail Mathon Sukhmail Mathon F 30 11.7 2.6 2.9 0.8 0.1 0.3 1.1 1.4 4.3 -54 28 -1.9 -7.0 42.9 0 25.0 -4.2 90.3 42.9
Andrew Petcash Andrew Petcash G 24 8.3 1.8 0.8 0.4 0.2 0.0 0.5 1.1 1.7 -10 24 -0.4 -1.9 34.6 21.4 66.7 -2.91 75.1 40.4
Kamali Chambers Kamali Chambers G 20 8.1 1.6 0.5 0.7 0.2 0.1 0.3 0.8 1.9 -21 17 -1.2 -6.4 43.8 28.6 45.5 -2.77 76.8 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