🐻⬇️🏀

Salisbury

Also known as: Salisbury
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 → 1043 (#143) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1092 (#164) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1077 (#125) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +1.8 (#178) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +2.1 (#335) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.424 (#483) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +5.7 More → 0.680 (#287) NetEff +5.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.0 More → 0.285 (#454) AdjNet -8.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.5 More → 0.268 (#458) AdjNet -8.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.3 | AdjD 65.2 More → 0.390 (#447) AdjO 60.3 | AdjD 65.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.6 | AdjD 62.6 More → 0.612 (#217) AdjO 67.6 | AdjD 62.6
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 → 0.614 (#288) 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 → 0.622 (#277) 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 22 More → 1101 (#156) RD 97 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Washington Col. W 68 - 48
2025-11-14 @ York (PA) L 55 - 64
2025-11-15 vs Waynesburg W 76 - 70
2025-11-19 vs Penn St.-Abington L 43 - 49
2025-11-22 vs Lehman W 82 - 73
2025-11-23 vs Immaculata W 66 - 64
2025-11-29 vs Gallaudet W 114 - 40
2025-12-03 vs Stevenson L 80 - 84
2025-12-10 @ Va. Wesleyan W 88 - 68
2025-12-20 vs Shenandoah L 57 - 79
2025-12-28 @ WestConn W 70 - 58
2025-12-29 vs King's (PA) W 56 - 53
2026-01-14 @ Notre Dame (MD) L 70 - 76
2026-01-17 @ Chris. Newport W 71 - 67
2026-01-20 @ St. Mary's (MD) L 78 - 83
2026-01-28 vs Mary Washington L 50 - 52
2026-01-31 @ Penn St. Harrisburg W 82 - 56
2026-02-04 @ Franklin & Marshall W 60 - 56
2026-02-07 @ Swarthmore W 63 - 60

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%
Nicole Miller - 17 30.8 17.4 3.6 2.4 1.4 0.1 1.8 13.2 9.8 -9 -0.5 -2.5 49.8 34.6 72.6 0.88 58.7 55.8
Abby Plaugher - 17 31.8 14.4 4.6 2.8 1.4 0.4 2.8 11.7 9.1 14 0.7 3.6 41.7 41.7 78.2 4.59 54.7 50.5
Keturah Stewart - 17 27.6 10.0 3.9 3.1 1.9 0.0 2.9 10.6 5.3 -40 -2.0 -13.7 31.5 24.7 71.2 -2.17 41.7 36.7
Kayla Nieberlein - 16 25.4 9.6 6.1 0.5 0.9 0.2 2.0 9.0 6.4 8 0.4 2.7 47.9 0.0 64.0 -0.44 49.7 47.9
Jen Juhring - 17 28.6 5.4 5.9 1.9 1.6 0.1 1.8 4.9 8.2 7 0.3 2.7 40.5 38.5 80.0 -0.85 51.5 49.4
Kisa Lilly - 16 17.7 3.9 3.8 2.6 2.0 0.1 2.2 4.8 5.3 42 2.3 21.0 32.5 16.7 76.9 0.08 38.1 34.4
Samantha Shively - 5 5.6 3.8 1.4 0.2 0.8 0.0 0.4 3.6 2.2 26 4.3 462.2 44.4 33.3 66.7 -0.16 49.2 47.2
Sayuri Penaranda - 12 6.3 2.2 0.7 0.2 0.4 0.2 0.2 2.1 1.5 30 1.9 193.0 48.0 0 75.0 2.01 50.4 48.0
Evelyn Steele - 9 7.2 2.0 1.6 0.2 0.1 0.4 0.6 2.8 1.0 25 2.5 60.1 36.0 0.0 0.0 2.72 34.2 36.0
Ella Inacio - 16 10.6 2.0 1.4 0.6 0.3 0.0 0.6 3.1 0.6 -1 -0.1 -1.3 26.0 21.7 50.0 0.0 31.4 31.0
Izzy Diaz - 16 10.9 1.8 2.5 0.7 0.3 1.1 0.8 1.6 4.0 -28 -1.5 -31.6 48.0 0 66.7 -1.15 50.7 48.0
Nadia Bullock - 10 10.8 1.7 2.2 0.4 0.2 0.0 1.0 3.3 0.2 22 2.8 13.5 18.2 8.3 66.7 0.65 23.8 19.7
Remy Tolar - 12 5.9 1.3 2.9 0.3 0.6 0.1 0.6 1.1 3.6 14 1.6 22.9 38.5 0 50.0 0.94 43.8 38.5
Faith Re - 8 6.3 0.8 0.8 0.6 0.1 0.1 0.2 2.0 0.1 53 4.8 1551.2 12.5 20.0 0 0.0 18.8 18.8
Abbie Switzer - 1 0.0 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