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Saint Joseph (CT)

Also known as: Saint Joseph (CT)
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 → 1087 (#126) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1143 (#76) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1181 (#24) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +7.4 (#40) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +7.4 (#255) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.864 (#260) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +14.3 More → 0.851 (#17) NetEff +14.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.7 More → 0.774 (#244) AdjNet +10.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.3 More → 0.770 (#245) AdjNet +10.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 78.7 | AdjD 70.7 More → 0.673 (#247) AdjO 78.7 | AdjD 70.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.7 | AdjD 66.3 More → 0.754 (#60) AdjO 78.7 | AdjD 66.3
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 → 0.761 (#137) 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 → 0.770 (#115) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 22 More → 1227 (#45) RD 101 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Worcester St. W 91 - 80
2025-11-09 @ UMass Dartmouth L 83 - 84
2025-11-12 @ Clark (MA) W 79 - 75
2025-11-15 vs Albright W 71 - 61
2025-11-16 @ Cortland L 57 - 61
2025-11-30 @ Babson L 82 - 87
2025-12-03 vs Trinity (CT) L 68 - 72
2025-12-06 @ Yeshiva W 78 - 64
2025-12-14 @ Bowdoin L 67 - 68
2025-12-18 vs Coast Guard W 83 - 59
2025-12-31 @ Montclair St. L 87 - 92
2026-01-03 vs NYU W 73 - 71
2026-01-06 vs Hamilton W 84 - 58
2026-01-10 @ Elms W 78 - 65
2026-01-14 vs Lasell W 68 - 64
2026-01-17 vs Regis (MA) W 78 - 38
2026-01-21 @ Mitchell W 91 - 82
2026-01-24 vs Emmanuel (MA) W 80 - 58
2026-01-28 @ Dean W 89 - 77
2026-01-31 @ Rivier W 82 - 56
2026-02-03 vs Albertus Magnus W 90 - 78
2026-02-07 vs Colby-Sawyer W 95 - 53

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%
Lence Altenor - 22 34.4 16.7 3.4 2.8 1.5 0.1 1.2 12.3 11.0 116 6.4 31.5 47.4 35.7 84.5 4.58 59.9 55.0
Friedrich Feldrappe - 22 30.3 12.7 6.4 2.6 0.7 0.4 1.9 9.2 11.7 82 4.6 28.2 50.7 41.3 95.5 0.79 62.7 58.4
Roel Figueroa - 22 27.7 12.0 2.7 1.2 0.8 0.3 2.0 8.4 6.6 52 2.7 19.4 50.3 40.0 81.1 3.76 63.6 60.0
Deivone Tanksley Jr. - 19 27.6 11.2 8.3 1.4 1.3 0.2 1.3 7.5 13.6 78 4.6 27.3 50.3 26.7 67.0 1.6 58.2 53.1
Jakari Tertulien - 20 22.8 7.1 4.2 3.2 1.6 0.3 2.2 6.2 8.0 69 3.8 31.3 42.7 6.2 77.3 1.21 49.5 43.5
Billy Ray Barnes III - 10 18.2 6.2 1.7 1.3 0.3 0.3 1.4 4.4 4.0 19 2.7 38.9 52.3 37.5 65.0 -1.22 58.7 55.7
Alijah Lovelace - 19 15.5 5.9 1.8 2.2 1.2 0.1 0.8 4.2 6.1 50 2.9 24.9 46.2 32.0 83.3 0.04 58.4 51.2
Adelphe Cisse - 21 13.6 5.8 3.2 0.4 0.4 0.3 1.1 4.2 4.8 112 6.6 73.7 53.4 0 79.4 1.65 58.8 53.4
Babacar Gadiaga - 18 11.5 4.4 3.2 0.6 0.7 0.8 1.2 3.4 5.0 -8 -0.5 -6.0 55.7 0 68.8 -0.67 58.1 55.7
Ethan McEachern - 14 8.4 2.4 0.7 0.9 0.4 0.0 0.5 2.1 1.6 21 1.6 22.9 30.0 31.8 100.0 0.76 49.2 41.7
Ben Carroll - 7 5.9 2.0 1.1 0.4 0.3 0.4 0.3 1.3 2.7 19 2.7 29.0 55.6 0.0 80.0 1.37 62.5 55.6
Justin Victorin - 7 4.1 1.7 0.9 0.0 0.0 0.0 0.0 1.9 0.7 3 0.4 8.2 38.5 25.0 0 0.36 46.2 46.2
Ibrahim Sidik - 6 3.3 1.3 1.5 0.2 0.0 0.3 0.8 1.0 1.5 4 0.7 10.8 66.7 0.0 0.0 1.02 58.1 66.7
Mohammad Kulaib - 7 5.2 1.0 0.1 0.4 0.1 0.0 0.3 1.1 0.3 10 1.4 19.6 37.5 25.0 0.0 1.83 41.5 43.8
Jacob Wang - 7 3.6 0.4 0.4 0.1 0.3 0.0 0.3 0.7 0.3 3 0.4 10.8 20.0 33.3 0 0.84 30.0 30.0

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