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Immaculata

Also known as: Immaculata
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 → 828 (#592) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 749 (#619) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 857 (#716) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -16.0 (#326) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -17.9 (#652) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.229 (#644) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.3 More → 0.097 (#647) AdjNet -19.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.6 More → 0.092 (#647) AdjNet -19.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.5 | AdjD 85.2 More → 0.208 (#648) AdjO 70.5 | AdjD 85.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.4 | AdjD 84.2 More → 0.274 (#691) AdjO 73.4 | AdjD 84.2
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 → 0.168 (#697) 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 → 0.181 (#698) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 22 More → 779 (#575) RD 105 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Sarah Lawrence W 109 - 83
2025-11-09 @ Washington Col. L 73 - 85
2025-11-13 vs Moravian L 118 - 120
2025-11-19 vs Haverford L 81 - 88
2025-11-22 vs Rutgers-Camden L 73 - 84
2025-11-25 @ Arcadia L 74 - 85
2025-11-26 @ West Chester L 59 - 128
2025-12-01 vs Notre Dame (MD) L 93 - 102
2025-12-03 vs Widener L 77 - 91
2025-12-16 @ Elizabethtown L 71 - 88
2025-12-30 @ Delaware Valley L 57 - 82
2026-01-05 vs McDaniel L 70 - 78
2026-01-07 @ Neumann L 78 - 94
2026-01-10 vs Gwynedd Mercy L 86 - 88
2026-01-14 vs Saint Elizabeth W 89 - 71
2026-01-17 @ Centenary (NJ) L 76 - 80
2026-01-21 @ Marymount (VA) L 62 - 96
2026-01-24 vs Pratt W 89 - 82
2026-01-29 vs Marywood L 70 - 73
2026-01-31 vs Neumann W 75 - 68
2026-02-04 @ Saint Elizabeth L 76 - 82
2026-02-07 @ Gwynedd Mercy L 72 - 81

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%
Christian Chambers - 21 25.1 13.1 4.7 0.9 1.0 1.3 2.0 13.2 5.8 - - - 33.6 31.9 60.0 - 45.3 43.1
Dylan Crews - 22 25.9 12.9 3.7 1.9 1.3 0.4 2.5 8.4 9.4 -70 -3.3 -19.3 46.2 27.4 75.8 -3.4 59.1 50.8
Mandon Seapoe - 21 25.7 12.2 3.7 2.6 1.9 0.1 3.2 10.8 6.4 -30 -1.4 -8.0 50.2 25.0 56.2 -1.25 53.1 52.4
Domenic Vacchiano - 17 22.0 8.2 5.6 0.9 1.1 0.5 1.3 6.6 8.4 -63 -4.2 -26.5 38.4 25.0 77.6 2.66 52.0 45.1
Duce Jackson - 16 15.6 7.1 4.4 0.7 0.4 0.2 1.3 8.1 3.5 -8 -0.5 -7.3 36.4 5.9 90.5 1.38 41.2 36.8
Jalen Flowers - 22 19.2 5.2 1.9 0.7 1.0 0.2 0.5 5.5 2.9 -59 -2.8 -17.3 34.4 24.4 66.7 0.48 44.3 42.6
Kevin Telesford - 22 11.9 5.2 2.1 0.7 0.2 0.3 1.1 4.5 2.9 -11 -0.5 -4.6 39.4 40.0 62.5 1.63 53.8 52.5
Jayden Williams - 19 17.8 5.1 2.4 2.5 1.4 0.1 1.3 4.3 5.9 -100 -7.1 -75.4 33.3 32.4 73.8 -2.75 48.3 40.1
Jeremiah Alexander - 17 15.0 4.5 2.6 0.4 0.4 0.2 1.3 4.1 2.8 -13 -2.6 -16.2 37.7 9.1 75.0 -0.61 46.3 38.4
Marquis Peoples Jr. - 14 11.7 4.4 1.8 0.6 0.5 0.6 0.6 4.4 2.9 -36 -2.8 -32.7 33.9 32.4 100.0 -0.0 47.3 43.5
Bowen Gugger - 18 17.1 3.3 3.4 1.3 0.6 0.4 1.4 2.7 5.0 -50 -3.1 -29.1 45.8 40.0 53.3 -2.25 54.9 54.2
Robbie Conyer - 21 10.4 3.2 2.0 0.4 0.3 0.1 0.6 2.6 3.0 14 0.7 5.7 43.6 18.2 69.2 2.91 51.2 45.5
Idan Zuker - 16 7.8 2.8 0.7 0.4 0.1 0.1 0.5 2.4 1.2 -55 -3.9 -105.2 36.8 40.0 100.0 -0.85 55.3 52.6
Nasir Logan - 9 8.1 2.0 1.0 1.1 0.1 0.0 1.3 1.3 1.6 -33 -4.7 -52.3 66.7 0 66.7 0.12 67.6 66.7
Samuel Jankowski - 6 3.1 0.5 0.5 0.3 0.2 0.3 0.3 0.3 1.2 - - - 50.0 0 50.0 - 52.1 50.0
Baptiste Tard - 4 1.2 0.5 0.2 0.0 0.2 0.0 0.2 0.0 0.8 - - - 0 0 100.0 - 113.6 0
Sir Guy Epps Jr. - 4 3.2 0.2 1.8 0.0 0.0 0.0 0.8 1.5 -0.2 146 9.7 40.9 0.0 0.0 20.0 1.6 6.1 0.0
Dezmyn Nicholson - 4 1.6 0.2 0.0 0.0 0.0 0.0 0.2 1.0 -1.0 - - - 0.0 0.0 50.0 - 10.2 0.0
Nick Haggarty - 2 0.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5 5.0 116.5 0 0 0 0.73 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