🐻⬇️🏀

Johns Hopkins

Also known as: Johns Hopkins
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 → 1168 (#47) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1207 (#34) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1143 (#50) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +6.1 (#52) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +7.2 (#260) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.795 (#297) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +12.5 More → 0.809 (#231) AdjNet +12.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +12.2 More → 0.805 (#230) AdjNet +12.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.3 | AdjD 69.1 More → 0.678 (#241) AdjO 77.3 | AdjD 69.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.3 | AdjD 67.0 More → 0.738 (#73) AdjO 78.3 | AdjD 67.0
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 → 0.731 (#171) 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 → 0.744 (#146) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 21 More → 1215 (#55) RD 97 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Marymount (VA) W 76 - 67
2025-11-11 @ York (PA) L 73 - 76
2025-11-18 @ Rowan W 79 - 73
2025-11-22 @ Eastern W 77 - 69
2025-11-29 vs Salisbury W 81 - 48
2025-12-02 vs Hood W 93 - 89
2025-12-06 vs Swarthmore W 76 - 69
2025-12-20 vs Susquehanna L 60 - 66
2025-12-21 vs Illinois Tech W 75 - 50
2025-12-31 vs Babson W 83 - 77
2026-01-03 vs Stevenson W 90 - 82
2026-01-07 @ Chris. Newport L 65 - 68
2026-01-10 vs Gettysburg W 58 - 56
2026-01-14 vs Washington Col. W 93 - 64
2026-01-17 @ Franklin & Marshall L 54 - 68
2026-01-21 @ McDaniel W 83 - 43
2026-01-24 vs Muhlenberg W 80 - 53
2026-01-28 vs Dickinson W 87 - 68
2026-01-31 @ Haverford W 88 - 58
2026-02-04 @ Gettysburg L 59 - 61
2026-02-07 @ Ursinus W 84 - 78

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%
Charlie Jackson - 20 28.7 18.2 7.0 2.1 1.6 0.5 2.8 11.9 14.8 62 3.1 17.4 52.9 32.6 81.8 -1.15 62.7 55.9
Wyatt Eglinton Manner - 18 27.2 13.3 5.6 3.2 1.6 0.3 1.6 12.2 10.2 78 4.3 26.8 44.3 28.0 58.2 1.25 49.3 47.5
Cooper Haberern - 1 38.0 12.0 3.0 0.0 2.0 1.0 0.0 8.0 10.0 112 8.0 24.5 50.0 50.0 0 3.99 75.0 75.0
Tate Landis - 1 28.0 12.0 3.0 3.0 1.0 1.0 1.0 10.0 9.0 77 5.1 18.5 30.0 0.0 85.7 2.48 45.9 30.0
Jeb Williams - 18 25.2 9.4 3.8 1.2 1.4 0.4 1.7 7.4 7.1 7 0.4 2.5 44.4 36.0 80.6 1.44 58.0 54.5
Tanti Felli - 19 23.7 8.6 4.2 1.0 0.9 0.7 1.0 5.6 8.7 24 1.3 7.6 67.3 46.2 51.9 0.42 69.0 70.1
Nick Klaiber - 18 20.9 8.1 2.5 1.9 0.5 0.0 1.3 6.8 4.9 53 2.8 20.9 39.8 44.8 71.4 1.16 50.5 45.1
Logan Feller - 18 25.8 7.2 3.2 1.4 0.6 0.1 0.6 5.3 6.7 -6 -0.4 -13.1 39.6 36.5 77.5 0.35 57.2 51.6
Nick Schroeder - 1 14.0 6.0 3.0 2.0 1.0 0.0 1.0 5.0 6.0 54 3.6 18.0 40.0 25.0 50.0 2.69 51.0 50.0
Aleks Smith - 1 35.0 6.0 8.0 0.0 0.0 0.0 1.0 6.0 7.0 21 1.5 8.8 50.0 0 0 0.93 50.0 50.0
Teagan Swint - 18 9.1 4.2 1.4 0.4 0.3 0.0 0.3 3.3 2.7 32 1.8 41.8 46.7 40.0 83.3 -0.03 59.9 58.3
Ben Troyer - 1 16.0 4.0 3.0 0.0 0.0 0.0 1.0 3.0 3.0 45 3.0 14.9 33.3 0 100.0 -0.95 51.5 33.3
Dan Becil - 12 5.6 3.5 0.9 0.0 0.3 0.0 0.5 1.7 2.6 1 0.1 1.7 60.0 36.4 77.8 -0.57 75.2 70.0
Gil Otoo - 11 7.5 2.8 1.2 0.3 0.0 0.0 0.2 2.3 1.8 40 3.3 585.4 44.0 47.4 0.0 -0.81 58.9 62.0
Tomas Bruzoni - 7 6.2 2.1 1.9 0.1 0.4 0.3 0.4 1.1 3.3 -3 -0.4 -8.6 62.5 0.0 71.4 0.54 67.7 62.5
Isaiah Hanson - 7 6.6 1.9 0.9 0.4 0.0 0.0 0.6 1.4 1.1 -5 -0.7 -16.8 50.0 28.6 25.0 0.71 55.3 60.0
Evan Rainville - 18 6.4 1.6 1.2 0.7 0.2 0.2 0.5 1.8 1.6 -1 -0.1 -1.2 34.4 26.3 100.0 0.81 44.1 42.2
Justin Huang - 17 9.0 1.4 1.2 0.3 0.1 0.1 0.2 2.2 0.5 30 1.8 30.9 23.7 11.8 50.0 2.66 28.3 26.3
Will Stevenson - 20 13.1 1.1 2.5 0.4 0.2 0.2 0.5 0.9 3.0 25 1.2 13.9 42.1 0.0 66.7 1.7 47.9 42.1
Paul Joire - 7 4.7 0.4 0.9 0.0 0.1 0.4 0.4 0.9 0.6 1 0.1 3.7 16.7 25.0 0 0.14 25.0 25.0
Camden Parada - 1 7.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 -2 -2.0 -11.7 0.0 0.0 0 -0.28 0.0 0.0
Drew Pape - 1 7.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 17 1.4 25.9 0.0 0.0 0 0.35 0.0 0.0
Colin Treude - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 49 3.5 49.1 0 0 0 -0.06 0 0
David Weaver - 1 5.0 0.0 2.0 0.0 0.0 0.0 0.0 1.0 1.0 24 2.2 44.6 0.0 0 0 0.55 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