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MIT Engineers

Season: 2026 2022 2015 2013 2012 2011 2010 2009
Also known as: MIT Engineers
Program History

Model Outputs

2021-2022
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 997 (#309) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -13.8 (#692) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → -17.4 (#546) HCA +2.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.3 | AdjD 70.1 More → 0.458 (#440) AdjO 68.3 | 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 → 0.202 (#541) 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 → 0.250 (#538) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 949 (#270) RD 350 | GP 1

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-20 @ Harvard Crimson L 52 - 98

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%
C. Rich C. Rich - 1 28.0 16.0 2.0 0.0 1.0 0.0 0.0 0.0 19.0 - - - 0 0 0 -0.27 0 0
G. Chatziveroglou G. Chatziveroglou - 1 21.0 12.0 2.0 0.0 0.0 0.0 3.0 0.0 11.0 - - - 0 0 0 - 0 0
A. Cho A. Cho - 1 19.0 6.0 3.0 4.0 1.0 0.0 4.0 0.0 10.0 - - - 0 0 0 - 0 0
D. Pilsbury D. Pilsbury - 1 37.0 6.0 4.0 1.0 0.0 1.0 2.0 0.0 10.0 - - - 0 0 0 -0.41 0 0
J. Manyika J. Manyika - 1 23.0 6.0 2.0 1.0 1.0 0.0 5.0 0.0 5.0 - - - 0 0 0 - 0 0
L. Wagner L. Wagner - 1 15.0 4.0 2.0 2.0 1.0 0.0 1.0 0.0 8.0 - - - 0 0 0 - 0 0
S. Lin S. Lin - 1 10.0 2.0 0.0 0.0 1.0 0.0 1.0 0.0 2.0 - - - 0 0 0 - 0 0
I. Hinkley I. Hinkley - 1 22.0 0.0 3.0 3.0 2.0 0.0 4.0 0.0 4.0 - - - 0 0 0 - 0 0
B. Stephens B. Stephens - 1 10.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 - - - 0 0 0 - 0 0
C. Tummings C. Tummings - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
K. Kileen K. Kileen - 1 13.0 0.0 2.0 1.0 0.0 0.0 0.0 0.0 3.0 - - - 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