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UMBC

Also known as: UMBC
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1099 (#146) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1027 (#261) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +57.4 (#15) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#75) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +74.7 More → 1.000 (#20) NetEff +74.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +59.6 More → 0.999 (#44) AdjNet +59.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +59.6 More → 0.999 (#43) AdjNet +59.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 91.3 | AdjD 54.1 More → 0.967 (#61) AdjO 91.3 | AdjD 54.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 85.0 | AdjD 51.8 More → 0.953 (#3) AdjO 85.0 | AdjD 51.8
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 → 0.984 (#4) 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 → 0.980 (#4) 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 → 1088 (#191) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-08 vs Gettysburg W 90 - 83

2024 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%
Anna Blount - 1 35.0 29.0 11.0 0.0 2.0 0.0 4.0 22.0 16.0 - - - 45.5 100.0 88.9 - 55.9 47.7
Jaliena Sanchez - 1 52.0 16.0 1.0 3.0 4.0 0.0 5.0 15.0 4.0 - - - 53.3 0.0 0.0 0.36 51.8 53.3
Carmen Yanez - 1 56.0 11.0 11.0 8.0 2.0 1.0 0.0 11.0 22.0 - - - 27.3 33.3 66.7 0.85 40.3 31.8
Jaden Walker - 1 52.0 10.0 13.0 1.0 3.0 0.0 6.0 7.0 14.0 28 4.7 13.5 42.9 0 66.7 0.15 51.9 42.9
Laura Lacambra - 1 13.0 10.0 6.0 0.0 0.0 0.0 2.0 7.0 7.0 - - - 71.4 0 0.0 - 63.5 71.4
Trinity Palacio - 1 12.0 5.0 1.0 1.0 0.0 0.0 0.0 6.0 1.0 - - - 33.3 33.3 0 - 41.7 41.7
Jordon Lewis - 1 46.0 4.0 4.0 2.0 4.0 0.0 3.0 14.0 -3.0 21 1.3 3.0 14.3 0.0 0 0.36 14.3 14.3
Paloma Iradier - 1 10.0 4.0 1.0 0.0 0.0 0.0 0.0 3.0 2.0 - - - 66.7 0 0 - 66.7 66.7
Anne Adewumi - 1 6.0 1.0 1.0 0.0 0.0 0.0 1.0 1.0 0.0 - - - 0.0 0 50.0 - 26.6 0.0
Maryama Turkstra - 1 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Riley Donahue - 1 10.0 0.0 0.0 0.0 0.0 0.0 0.0 3.0 -3.0 - - - 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