🐻⬇️🏀

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 → 1189 (#6) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1389 (#5) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1312 (#3) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +28.0 (#8) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +25.1 (#93) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.976 (#168) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +38.8 More → 0.997 (#79) NetEff +38.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +40.7 More → 0.991 (#108) AdjNet +40.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +40.5 More → 0.992 (#115) AdjNet +40.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.8 | AdjD 51.3 More → 0.895 (#126) AdjO 74.8 | AdjD 51.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.8 | AdjD 50.1 More → 0.896 (#18) AdjO 73.8 | AdjD 50.1
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 → 0.962 (#21) 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 → 0.959 (#16) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 120 | GP 21 More → 1525 (#3) RD 120 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Luther W 95 - 60
2025-11-08 @ Wartburg W 70 - 49
2025-11-11 vs Trinity Washington W 102 - 25
2025-11-15 vs Catholic W 73 - 49
2025-11-16 vs Chris. Newport W 59 - 38
2025-11-18 @ Morgan St. W 75 - 59
2025-11-22 @ York (PA) W 59 - 35
2025-12-03 @ Washington Col. W 68 - 42
2025-12-31 vs Trinity (CT) W 69 - 62
2026-01-10 vs Gettysburg W 67 - 46
2026-01-17 @ Franklin & Marshall W 74 - 44
2026-01-21 @ McDaniel W 72 - 56
2026-01-24 vs Muhlenberg W 72 - 36
2026-01-28 vs Dickinson W 60 - 40
2026-01-31 vs Haverford W 83 - 50
2026-02-04 @ Gettysburg W 66 - 63
2026-02-07 @ Ursinus W 84 - 72

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%
Haylie Strum - 1 22.0 12.0 1.0 3.0 0.0 0.0 2.0 9.0 5.0 5 0.3 1.7 55.6 66.7 0 3.44 66.7 66.7
Lexi Thomas - 1 21.0 11.0 1.0 1.0 1.0 0.0 5.0 5.0 4.0 -1 -0.1 -0.4 80.0 75.0 0 0.62 110.0 110.0
Jocelyn Goldstein - 16 19.6 10.6 5.3 0.6 0.7 1.2 1.4 7.4 9.6 13 0.7 4.9 61.0 25.0 60.0 3.89 62.3 61.4
Kendall Dunham - 17 26.9 10.4 3.5 2.4 2.1 0.0 1.6 8.7 7.9 26 1.3 6.4 41.9 38.3 78.4 2.71 53.6 49.7
Lauren Knudson - 17 21.0 9.6 1.6 1.2 0.6 0.3 0.7 8.1 4.6 54 2.7 15.8 42.8 33.7 78.9 1.12 56.0 54.0
Macie Feldman - 17 25.1 8.1 9.6 4.4 1.1 0.5 2.7 8.8 12.3 130 8.1 36.1 36.2 23.8 56.8 2.44 41.0 37.9
Faith Williamson - 17 16.5 7.6 1.5 1.3 1.1 0.1 1.3 6.6 3.6 52 2.9 20.8 31.9 30.6 79.3 2.38 46.6 36.7
Layla Henderson - 17 18.7 7.5 3.6 0.8 1.8 0.1 1.5 7.9 4.3 60 12.0 27.6 35.6 27.1 61.3 5.18 43.1 40.4
Emily Collins - 17 16.4 5.8 6.6 0.4 0.3 0.2 1.0 4.6 7.7 101 5.0 42.9 51.3 0.0 60.0 0.23 53.7 51.3
Grace Soltes - 17 19.7 4.2 5.2 0.5 0.6 0.6 1.2 5.1 4.9 111 6.5 42.2 34.9 18.2 75.0 3.38 40.5 39.5
Katie Hardtke - 1 17.0 4.0 4.0 0.0 1.0 0.0 3.0 4.0 2.0 -44 -2.4 -26.5 25.0 25.0 50.0 0.11 41.0 37.5
Sameera Elmasri - 4 9.1 3.8 1.8 0.5 0.2 0.2 0.8 3.0 2.8 - - - 50.0 0.0 75.0 - 54.5 50.0
Aria Mazza - 9 6.6 3.0 2.7 0.9 0.3 0.0 0.4 3.4 3.0 82 10.2 255.9 35.5 25.0 50.0 -0.45 41.2 40.3
Stephanie Theodossakos - 17 12.3 2.9 2.4 0.4 1.1 0.5 0.5 2.8 4.0 85 5.0 52.8 36.2 27.3 66.7 2.0 46.6 42.6
Beth Corelli - 17 10.6 2.5 1.6 1.2 0.4 0.1 0.6 2.8 2.2 85 5.0 90.3 37.5 21.7 33.3 0.14 42.6 42.7
Quinn ODonnell - 9 6.2 2.2 0.7 0.7 0.2 0.0 1.0 2.8 0.0 60 6.7 187.3 28.0 35.7 100.0 -0.45 39.3 38.0
Serena Mezzetta - 8 6.3 1.9 1.8 0.2 0.1 0.1 0.4 1.2 2.5 65 9.3 652.7 70.0 0 25.0 0.41 63.8 70.0
Isabella Elizondo - 8 5.4 0.8 1.1 0.2 0.1 0.0 0.6 0.9 0.8 56 8.0 562.3 28.6 33.3 50.0 0.41 38.1 35.7
Amanda Parker - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Natalie Beaver - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 20 1.1 9.0 0 0 0 3.53 0 0
Kadence Popejoy - 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2 0.7 34.8 0 0 0 -0.18 0 0
Cadence Okerman - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 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