🐻⬇️🏀

Merchant Marine

Also known as: Merchant Marine
Program History

Model Outputs

2025-2026
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 → 1117 (#52) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1118 (#114) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1174 (#39) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +0.1 (#188) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +14.4 (#169) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.944 (#205) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +27.0 More → 0.979 (#106) NetEff +27.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.5 More → 0.485 (#387) AdjNet -0.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -1.4 More → 0.457 (#389) AdjNet -1.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.2 | AdjD 62.8 More → 0.440 (#408) AdjO 60.2 | AdjD 62.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.7 | AdjD 50.6 More → 0.850 (#35) AdjO 69.7 | AdjD 50.6
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 → 0.844 (#108) 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 → 0.860 (#90) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 22 More → 1224 (#55) RD 107 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-10 @ Hunter L 68 - 72
2025-11-12 vs Baruch W 78 - 39
2025-11-19 @ Old Westbury W 79 - 37
2025-11-22 vs St. Joseph's (Brkln) W 76 - 48
2025-11-25 @ Farmingdale St. W 56 - 53
2025-11-29 @ Medgar Evers W 81 - 58
2025-11-30 vs NYU L 70 - 102
2025-12-03 @ Manhattanville L 61 - 62
2025-12-09 vs Purchase W 73 - 52
2025-12-13 vs UMSV W 93 - 35
2025-12-17 vs Yeshiva W 78 - 35
2026-01-15 @ Mt. St. Mary (NY) L 73 - 80
2026-01-17 @ Purchase W 71 - 57
2026-01-21 vs Old Westbury W 95 - 21
2026-01-24 @ St. Joseph's (Brkln) W 81 - 28
2026-01-28 vs Farmingdale St. W 61 - 47
2026-02-01 @ Yeshiva W 76 - 22
2026-02-04 vs Mt. St. Mary (NY) W 84 - 56
2026-02-07 @ Sarah Lawrence W 83 - 63

2026 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%
Carolae Barton - 18 24.8 19.4 11.1 2.8 1.3 2.6 1.9 12.1 23.2 143 11.0 64.3 65.9 0.0 75.3 2.93 68.8 65.9
Emily Grasseler - 19 30.6 17.5 10.5 2.5 1.9 0.8 2.6 16.0 14.7 135 10.4 47.8 45.1 33.3 75.3 2.2 49.3 45.2
Hannah Ramsden - 19 30.9 15.7 4.5 3.2 2.2 0.4 2.8 12.8 10.3 154 12.8 55.2 46.7 38.9 87.9 2.95 57.8 55.3
Breanna Sommers - 19 26.4 8.5 4.8 3.1 1.6 0.6 2.9 9.0 6.7 155 11.1 76.4 38.0 33.3 66.7 3.3 45.0 43.6
Jaden Lodice - 19 28.1 4.8 4.6 2.8 1.5 0.1 2.1 4.7 7.0 205 15.8 87.4 38.9 29.5 44.4 3.44 46.5 46.1
Tatum Carney - 19 15.5 2.9 2.7 1.9 1.1 0.0 1.8 4.2 2.7 118 9.1 69.1 30.4 26.7 33.3 -0.5 33.1 32.9
Cevyn Crutcher - 17 20.4 2.7 3.8 1.2 0.7 0.1 1.2 3.8 3.4 168 14.0 141.8 30.8 0.0 40.0 0.46 32.1 30.8
Lilly Smeltzer - 11 8.9 2.4 3.0 0.4 0.4 0.1 0.9 2.0 3.3 68 6.8 155.6 50.0 0 33.3 -0.22 47.7 50.0
Natalie Doan - 18 12.0 2.1 1.8 1.0 0.7 0.1 1.3 3.6 0.8 101 8.4 176.8 18.5 17.4 83.3 -0.52 27.0 21.5
Sydney Brown - 18 12.2 2.1 2.2 0.7 0.3 0.1 0.7 2.7 2.0 -1 -0.2 -33.8 30.6 28.6 100.0 0.46 38.1 36.7

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