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Adelphi

Also known as: Adelphi
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†’ 1052 (#125) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1081 (#115) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1082 (#87) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +6.1 (#150) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +5.8 (#228) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.716 (#57) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +59.3 More โ†’ 0.999 (#35) NetEff +59.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.5 More โ†’ 0.749 (#128) AdjNet +9.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.4 More โ†’ 0.750 (#130) AdjNet +9.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.6 | AdjD 70.8 More โ†’ 0.650 (#132) AdjO 77.6 | AdjD 70.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.3 | AdjD 66.1 More โ†’ 0.615 (#130) AdjO 71.3 | AdjD 66.1
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†’ 0.695 (#142) 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†’ 0.687 (#141) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 23 More โ†’ 1146 (#80) RD 95 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Queens (NY) W 77 - 52
2025-11-16 @ Molloy W 87 - 74
2025-11-19 @ Southern Conn. St. W 93 - 72
2025-11-22 vs Staten Island L 69 - 78
2025-11-25 @ Queens (NY) W 91 - 82
2025-11-30 vs Chestnut Hill W 84 - 63
2025-12-03 vs American Int'l W 60 - 44
2025-12-06 @ Franklin Pierce W 65 - 63
2025-12-09 @ Mercy W 77 - 55
2025-12-16 vs Dominican (NY) W 82 - 77
2025-12-21 vs Goldey-Beacom W 68 - 54
2026-01-01 @ Daemen L 68 - 72
2026-01-04 vs Saint Anselm L 79 - 86
2026-01-07 @ Assumption L 67 - 77
2026-01-10 @ Saint Michael's W 77 - 75
2026-01-13 vs Pace W 56 - 53
2026-01-17 vs Southern N.H. W 63 - 59
2026-01-21 @ Southern Conn. St. L 57 - 71
2026-01-24 @ Bentley - Incomplete score
2026-01-28 vs Franklin Pierce - Incomplete score
2026-01-31 @ Saint Anselm L 75 - 77
2026-02-04 vs Assumption W 79 - 59
2026-02-07 vs Saint Michael's W 73 - 55
2026-02-10 @ Pace L 53 - 55
2026-02-14 @ Southern N.H. L 62 - 70
2026-02-18 vs Southern Conn. St. W 75 - 66
2026-02-21 vs Bentley L 76 - 80
2026-02-24 @ American Int'l W 72 - 67
2026-02-28 @ Assumption L 63 - 76
2026-03-14 @ Felician L 53 - 75

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%
Dayshaun Walton - 29 32.0 15.6 6.2 3.3 1.6 0.2 2.9 10.7 13.3 - - - - 48.4 41.7 83.3 - 61.5 55.3
Mason Jackson - 27 31.2 11.9 4.7 1.7 0.8 0.7 1.8 9.0 9.0 - - - - 50.0 33.6 64.1 - 59.4 57.9
Patrick Burke - 29 29.9 11.7 7.1 2.1 0.8 0.4 2.0 9.5 10.6 - - - - 48.4 29.3 68.6 - 55.3 52.7
Al-Fatir Connor - 29 31.7 11.1 2.8 3.6 1.2 0.3 2.1 10.1 6.8 - - - - 42.5 31.5 70.8 - 49.7 46.4
Jarnel Rancy - 27 30.9 6.4 5.2 2.3 0.7 3.7 1.4 4.4 12.4 - - - - 59.7 28.6 48.3 - 59.5 60.5
Zakari McQueen - 28 15.4 5.8 1.3 0.7 0.3 0.2 0.9 4.5 3.0 - - - - 43.7 41.8 91.7 - 61.7 59.9
Matthew Price - 27 19.9 5.4 1.0 0.9 0.6 0.1 0.5 5.6 2.0 - - - - 34.7 26.3 86.7 - 46.9 44.7
Reece Brown - 27 12.7 4.4 1.9 0.4 0.1 0.3 0.6 3.3 3.3 - - - - 55.1 33.3 78.9 - 61.6 59.0
Carter Wilson - 12 5.9 1.7 0.8 0.3 0.5 0.0 0.3 0.9 2.1 - - - - 63.6 62.5 100.0 - 87.4 86.4
London Carson - 5 3.1 0.8 0.6 0.0 0.0 0.0 0.6 0.8 0.0 - - - - 50.0 0.0 0.0 - 41.0 50.0
Myles Cumberland - 11 1.0 0.3 0.0 0.0 0.0 0.0 0.0 0.3 0.0 - - - - 33.3 100.0 0.0 - 43.6 50.0
Luke Egan - 10 0.9 0.2 0.2 0.1 0.0 0.0 0.0 0.1 0.4 - - - - 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