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Albertus Magnus

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Albertus Magnus
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 → 1183 (#38) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1155 (#68) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1104 (#92) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +5.0 (#59) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +6.0 (#271) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.751 (#319) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +8.2 More → 0.720 (#29) NetEff +8.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.6 More → 0.547 (#337) AdjNet +1.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.3 More → 0.538 (#336) AdjNet +1.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.5 | AdjD 79.0 More → 0.535 (#328) AdjO 80.5 | AdjD 79.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 87.6 | AdjD 76.4 More → 0.735 (#74) AdjO 87.6 | AdjD 76.4
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 → 0.682 (#227) 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 → 0.696 (#202) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 21 More → 1156 (#98) RD 103 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Swarthmore L 64 - 71
2025-11-11 vs Babson L 78 - 82
2025-11-14 vs Clark (MA) W 82 - 72
2025-11-15 @ Westfield St. L 59 - 70
2025-11-22 @ Lehman W 65 - 57
2025-11-25 vs Rutgers-Newark W 95 - 71
2025-12-03 @ Brooklyn W 88 - 54
2025-12-06 vs Purchase W 92 - 65
2025-12-09 @ Sarah Lawrence W 68 - 56
2025-12-13 @ Baruch W 98 - 84
2025-12-30 vs UMass Dartmouth W 100 - 82
2025-12-31 @ Trinity (CT) L 56 - 92
2026-01-04 @ Montclair St. L 89 - 100
2026-01-10 @ Regis (MA) W 80 - 70
2026-01-14 @ Emmanuel (MA) W 76 - 57
2026-01-17 vs New England Col. W 105 - 65
2026-01-20 vs Elms W 125 - 68
2026-01-24 vs Norwich W 94 - 59
2026-01-31 @ St. Joseph's (ME) L 96 - 99
2026-02-03 @ Saint Joseph (CT) L 78 - 90
2026-02-07 vs Rivier W 99 - 70

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%
Tazhon Daniels - 16 29.5 22.4 3.2 3.3 2.0 0.1 1.9 17.1 12.0 69 4.3 21.5 45.6 38.9 83.3 2.34 56.6 50.7
Jamir Harvey - 1 33.0 22.0 6.0 3.0 0.0 0.0 3.0 18.0 10.0 7 0.4 1.6 44.4 33.3 83.3 1.49 53.3 47.2
Jayquan Kirkland - 20 28.1 16.3 3.9 0.8 0.8 0.2 1.4 13.1 7.5 5 0.3 1.3 44.7 42.1 85.4 -1.36 57.6 54.4
Ray Ford Jr. - 18 32.6 15.8 4.6 3.9 2.0 0.2 1.7 13.1 11.7 42 2.3 11.7 43.6 36.2 83.7 0.64 55.7 52.5
Rob Elliott - 1 32.0 13.0 3.0 1.0 1.0 0.0 2.0 8.0 8.0 -20 -1.2 -5.0 62.5 60.0 0 -4.1 81.2 81.2
Isaiah Earl - 20 29.9 12.9 6.5 1.6 1.2 1.4 2.5 9.2 12.1 42 2.2 8.9 46.7 45.7 67.6 1.04 56.3 51.1
Gehrig Brynda - 1 29.0 12.0 6.0 0.0 0.0 0.0 3.0 12.0 3.0 42 3.2 13.0 33.3 36.4 0.0 1.62 48.2 50.0
Avery Hinnant - 19 20.6 4.9 6.2 0.6 0.7 1.5 1.6 4.3 8.1 36 2.0 19.1 49.4 0 43.3 -1.03 49.4 49.4
Nathan Charlot - 17 19.2 4.8 3.2 1.6 1.4 0.4 0.9 3.8 6.5 13 0.8 6.1 43.1 31.8 65.5 1.14 52.7 48.5
DJ Hamilton - 7 11.0 4.6 1.0 0.3 0.4 0.0 0.1 4.9 1.3 4 0.6 6.5 32.4 26.7 100.0 0.66 43.7 38.2
Mohamed Kante - 10 11.0 4.0 1.8 0.3 0.9 0.0 1.5 3.9 1.6 17 1.5 14.9 41.0 0.0 57.1 1.85 44.3 41.0
Ned Fitzpatrick - 1 27.0 4.0 6.0 2.0 1.0 0.0 3.0 8.0 2.0 76 4.8 23.5 25.0 0.0 0 0.01 25.0 25.0
Lennox Serrano - 8 8.3 3.1 2.0 0.5 0.2 0.1 0.1 2.5 3.4 25 3.6 61.3 50.0 20.0 57.1 0.5 54.2 52.5
Tahijj Hunter - 16 7.1 2.7 2.5 0.1 0.3 0.1 0.3 1.9 3.5 34 2.1 33.6 60.0 0 41.2 2.73 57.4 60.0
Rodrick Pearson - 20 10.9 2.5 2.4 0.1 0.6 1.1 0.3 1.8 4.6 28 1.5 15.9 60.0 0 40.0 4.45 57.1 60.0
DJ Victory - 14 12.0 2.2 1.8 1.8 1.1 0.1 0.8 1.9 4.4 -16 -1.1 -8.8 38.5 0.0 91.7 1.28 49.6 38.5
Amari Cruz - 4 4.1 1.8 1.0 0.0 0.2 0.0 0.8 1.8 0.5 - - - 42.9 0 50.0 - 44.4 42.9
Taufick Aziz - 9 3.0 1.2 0.8 0.2 0.2 0.1 0.0 1.1 1.4 -6 -0.9 -63.4 40.0 42.9 0 0.02 55.0 55.0
Angel Laboy-Rivera - 9 2.7 1.2 0.9 0.2 0.2 0.1 0.1 0.7 1.9 -22 -3.1 -130.0 50.0 0 55.6 -1.29 55.2 50.0
T'hmiri Reddick - 5 3.1 1.2 0.8 0.2 0.0 0.0 0.4 0.6 1.2 -13 -3.2 -218.2 66.7 0 100.0 0.36 77.3 66.7
Peter Szpakowski - 8 3.0 0.4 0.4 0.0 0.1 0.1 0.1 0.4 0.5 -12 -1.7 -66.7 33.3 0.0 50.0 0.31 38.7 33.3
CJ McRae - 2 3.5 0.0 0.5 0.0 0.5 0.0 0.5 1.0 -0.5 4 2.0 67.1 0.0 0 0 0.36 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