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Thomas (ME)

Also known as: Thomas (ME)
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 โ†’ 893 (#288) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 823 (#329) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 905 (#668) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -23.4 (#377) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -22.1 (#699) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.236 (#323) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -28.0 More โ†’ 0.038 (#375) AdjNet -28.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -28.5 More โ†’ 0.035 (#375) AdjNet -28.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.5 | AdjD 87.8 More โ†’ 0.126 (#374) AdjO 66.5 | AdjD 87.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.5 | AdjD 77.8 More โ†’ 0.246 (#715) AdjO 65.5 | AdjD 77.8
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 โ†’ 0.140 (#718) 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 โ†’ 0.156 (#716) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 23 More โ†’ 828 (#532) RD 99 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Stonehill - Incomplete score
2025-11-07 @ Elms L 57 - 83
2025-11-15 vs Me.-Fort Kent L 84 - 92
2025-11-16 @ Framingham St. W 77 - 58
2025-11-19 vs Colby L 73 - 96
2025-11-21 vs Husson L 71 - 85
2025-11-22 vs Me.-Presque Isle W 77 - 62
2025-12-02 @ VTSU-Johnson W 74 - 65
2025-12-05 vs Me.-Farmington L 98 - 99
2025-12-06 vs Maine Maritime W 59 - 58
2025-12-15 @ Bates L 53 - 101
2025-12-29 @ Centre L 63 - 89
2025-12-30 vs Berea L 56 - 83
2026-01-07 @ Lesley W 80 - 61
2026-01-10 @ SUNY Delhi L 56 - 64
2026-01-11 @ SUNY Cobleskill L 58 - 60
2026-01-16 @ Husson L 63 - 107
2026-01-17 @ Me.-Presque Isle L 78 - 87
2026-01-24 vs VTSU-Johnson - Incomplete score
2026-01-27 vs VTSU Lyndon - Incomplete score
2026-01-30 @ Maine Maritime - Incomplete score
2026-01-31 @ Me.-Farmington - Incomplete score
2026-02-07 vs Lesley W 82 - 67
2026-02-10 @ VTSU Lyndon W 109 - 96
2026-02-13 vs SUNY Cobleskill W 79 - 73
2026-02-14 vs SUNY Delhi W 77 - 64
2026-02-19 @ Me.-Presque Isle L 79 - 88

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
TJ Blackmon - 21 33.1 16.4 5.9 4.7 2.6 1.0 2.8 13.1 14.8 - - - - 52.5 32.5 60.0 - 56.2 54.9
Yasmo Mohamud - 21 23.0 10.3 4.0 2.0 0.7 0.1 1.8 9.8 5.5 - - - - 40.3 37.5 76.7 - 49.3 46.8
Isaiah Godley - 23 22.2 10.3 5.8 1.3 0.7 0.5 1.9 8.6 8.2 - - - - 40.4 29.0 65.7 - 48.7 42.7
Jayden Desimone - 22 20.5 8.7 1.8 0.8 1.0 0.1 1.0 9.6 1.9 - - - - 34.1 26.0 55.6 - 43.1 41.9
Isiah Corson - 20 18.2 6.5 5.0 0.8 0.6 0.7 0.9 4.3 8.2 - - - - 55.8 36.4 69.0 - 61.7 58.1
Nate Hebert - 23 12.1 5.2 0.8 0.3 0.2 0.0 0.8 5.7 0.0 - - - - 31.8 28.9 87.5 - 43.9 42.4
Payton Mitchell - 22 26.6 4.9 6.2 2.2 1.5 0.4 1.7 4.6 8.8 - - - - 40.2 21.1 63.6 - 45.9 42.2
Brady Adams - 19 10.8 3.9 0.6 0.3 0.3 0.0 0.7 3.6 0.8 - - - - 36.8 32.7 87.5 - 51.7 49.3
Jayden Kim - 17 11.3 3.8 0.7 1.0 0.2 0.0 0.9 3.7 1.1 - - - - 34.9 31.0 52.2 - 44.4 42.1
Spencer Minihan - 23 18.0 2.3 3.6 1.0 0.8 0.1 1.0 2.5 4.4 - - - - 36.8 19.0 63.6 - 42.9 40.4
Faron Cureton - 11 9.5 2.3 0.7 0.2 0.6 0.1 0.7 3.2 0.0 - - - - 17.1 16.7 75.0 - 31.0 22.9
Ibrahim Doumbouya - 14 6.4 2.2 0.5 0.7 0.2 0.0 0.6 2.7 0.3 - - - - 31.6 20.0 36.4 - 36.2 35.5
Cole Perkins - 11 6.5 2.0 0.8 0.5 0.4 0.1 1.3 1.8 0.6 - - - - 35.0 0.0 80.0 - 45.1 35.0
Colby Mitchell - 7 3.3 1.4 0.4 0.3 0.1 0.0 0.3 0.6 1.4 - - - - 100.0 100.0 100.0 - 112.6 112.5
DeNash Davis - 11 5.5 1.2 1.8 0.2 0.0 0.0 0.4 1.0 1.8 - - - - 54.5 0 100.0 - 56.8 54.5
Landon Voros - 5 3.4 1.2 0.4 0.0 0.2 0.0 0.0 1.4 0.4 - - - - 28.6 28.6 0 - 42.9 42.9
Lance Crowell - 9 4.1 0.8 0.3 0.2 0.4 0.2 0.3 1.0 0.7 - - - - 22.2 33.3 100.0 - 35.4 27.8
Omri Sarid - 8 3.8 0.6 0.5 0.1 0.2 0.0 0.0 0.9 0.6 - - - - 28.6 25.0 0 - 35.7 35.7
Pepito Girumugisha - 4 2.3 0.5 0.2 0.5 0.0 0.0 0.2 1.0 0.0 - - - - 0.0 0.0 100.0 - 20.5 0.0
Calan Denne - 5 1.9 0.4 0.2 0.0 0.2 0.0 0.4 0.2 0.2 - - - - 100.0 0 0 - 100.0 100.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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