🐻⬇️🏀

Southern Va.

Also known as: Southern Va.
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 → 1109 (#63) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1162 (#77) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1174 (#40) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +5.7 (#130) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +13.2 (#178) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.974 (#170) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +14.4 More → 0.888 (#172) NetEff +14.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.5 More → 0.841 (#247) AdjNet +14.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.2 More → 0.846 (#246) AdjNet +14.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.2 | AdjD 57.1 More → 0.677 (#254) AdjO 65.2 | AdjD 57.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.4 | AdjD 55.5 More → 0.730 (#99) AdjO 66.4 | AdjD 55.5
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 → 0.799 (#131) 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 → 0.801 (#128) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 1208 (#63) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-12 @ Wash. & Lee L 38 - 71
2025-11-15 vs Guilford L 71 - 80
2025-11-21 @ Methodist W 69 - 45
2025-11-22 @ Meredith W 74 - 51
2025-11-25 vs Bridgewater (VA) L 51 - 71
2025-12-03 vs Mary Washington W 54 - 42
2025-12-15 vs N.C. Wesleyan W 74 - 62
2025-12-16 vs William Peace W 67 - 52
2025-12-29 @ WashU L 66 - 83
2025-12-30 vs Wellesley W 62 - 49
2026-01-10 @ N.C. Wesleyan W 64 - 53
2026-01-14 @ Mary Baldwin W 87 - 41
2026-01-17 vs Pfeiffer W 67 - 65
2026-01-20 @ Greensboro W 83 - 54
2026-01-23 @ Brevard W 72 - 68
2026-01-28 @ Chris. Newport L 55 - 79
2026-02-03 vs Greensboro W 87 - 52
2026-02-05 vs Meredith W 66 - 51
2026-02-07 @ William Peace W 58 - 54

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%
Abigail Snyder - 19 34.0 18.3 6.1 3.5 2.3 0.2 4.5 14.9 10.8 243 12.8 103.8 43.3 40.6 84.1 1.59 55.2 50.9
Anna Kimball - 19 27.5 10.0 9.3 1.7 0.4 1.7 2.4 7.8 12.8 215 11.3 137.7 52.3 0 58.6 0.54 54.4 52.3
Maria Savvun - 18 32.8 9.7 2.7 3.6 0.7 0.1 3.8 10.3 2.7 187 10.4 125.8 31.4 30.5 70.4 2.5 44.4 42.2
Aysia Foster - 18 23.6 9.6 6.0 1.2 1.3 1.2 1.7 7.2 10.4 153 8.1 129.3 53.8 50.0 69.6 1.35 57.6 54.2
Samantha Smith - 19 22.1 7.3 4.6 1.4 1.1 0.2 2.7 6.4 5.3 -23 -0.6 -5.8 43.0 27.7 65.6 -2.38 51.1 48.3
Ruth Kempler - 9 17.1 6.6 4.7 1.8 0.7 0.2 2.2 5.1 6.6 46 6.6 30.2 52.2 50.0 71.4 2.25 56.6 53.3
Kensey Peterson - 19 15.3 4.2 2.1 0.8 0.4 0.1 0.8 3.6 3.1 95 5.0 142.9 45.6 40.0 0.0 0.1 58.1 58.8
Lily Delarosa - 19 15.8 2.6 2.5 1.9 0.6 0.0 1.4 3.2 3.1 37 1.9 21.6 25.0 18.5 88.2 0.42 37.0 29.2
KT Okonkwo - 5 11.8 2.4 3.2 0.2 0.6 0.2 2.0 3.4 1.2 - - - 35.3 0 0.0 - 34.4 35.3
Maya Foster - 19 11.2 1.3 1.9 0.3 0.3 0.2 0.7 2.1 1.2 19 1.0 24.7 30.8 10.0 0.0 1.38 30.3 32.1
Emma Openshaw - 8 3.9 1.0 0.8 0.1 0.1 0.0 0.4 1.6 0.0 -18 -1.8 -151.6 23.1 18.2 0 -0.84 30.8 30.8
Caitlyn Lanning - 13 7.1 0.3 1.2 0.6 0.6 0.0 0.5 1.3 0.8 22 1.5 46.4 5.9 8.3 50.0 0.13 11.2 8.8
Lyla Seneca - 12 3.7 0.3 1.0 0.1 0.1 0.0 0.2 1.0 0.2 -31 -2.2 -191.3 16.7 0.0 0 -1.78 16.7 16.7
Jocelyn Stewart - 6 1.9 0.0 0.2 0.0 0.2 0.0 0.0 0.5 -0.2 -21 -2.6 -331.6 0.0 0.0 0 -0.43 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