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Lees-McRae

Also known as: Lees-McRae
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 → 1154 (#54) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1085 (#114) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1072 (#101) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -3.0 (#206) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +6.5 (#256) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.124 (#523) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.9 More → 0.783 (#195) NetEff +9.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.4 More → 0.078 (#605) AdjNet -21.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -21.1 More → 0.077 (#606) AdjNet -21.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.1 | AdjD 75.5 More → 0.213 (#613) AdjO 61.1 | AdjD 75.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.9 | AdjD 65.1 More → 0.670 (#103) AdjO 72.9 | AdjD 65.1
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 → 0.594 (#270) 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 → 0.627 (#247) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 22 More → 1095 (#116) RD 103 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-09 @ Coastal Carolina L 53 - 111
2025-11-14 @ Catawba L 77 - 82
2025-11-15 vs Tusculum W 71 - 60
2025-11-20 vs Bluefield Univ. W 89 - 29
2025-11-22 vs Chowan W 62 - 58
2025-11-25 @ North Greenville W 84 - 77
2025-12-01 vs Winston-Salem L 75 - 76
2025-12-03 vs Toccoa Falls W 73 - 51
2025-12-06 vs King (TN) L 61 - 68
2025-12-13 vs Southern Wesleyan W 77 - 69
2025-12-16 @ Belmont Abbey L 77 - 78
2026-01-03 vs Francis Marion W 80 - 69
2026-01-10 @ Barton W 68 - 56
2026-01-14 @ King (TN) W 74 - 65
2026-01-17 vs Mount Olive W 84 - 67
2026-01-19 vs Erskine W 94 - 62
2026-01-21 vs Warren Wilson W 107 - 44
2026-01-28 @ Ferrum W 68 - 63
2026-01-31 @ Shorter L 55 - 63
2026-02-04 vs North Greenville W 86 - 61
2026-02-07 @ Young Harris L 59 - 69

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%
Nadiya Hairston - 21 32.8 18.0 5.3 2.9 1.3 0.4 2.1 13.8 12.0 106 4.6 39.1 41.9 32.5 86.5 0.39 56.9 50.9
Kaylee Carson - 21 30.6 16.0 5.4 1.8 1.6 0.1 3.0 13.3 8.7 70 3.3 24.7 45.4 31.6 75.6 -0.54 53.0 48.6
Sydney Gueterman - 21 25.6 7.8 4.8 1.2 1.1 0.3 1.2 6.7 7.3 135 6.8 57.6 40.4 30.4 76.3 1.1 52.0 47.9
Braelyn Stilwell - 21 18.5 6.5 2.6 2.0 1.1 0.0 1.4 3.5 7.4 -4 -0.2 -5.1 52.1 42.1 81.8 1.07 70.5 63.0
Sandra Mason - 21 21.8 6.2 3.4 2.6 1.8 0.0 2.6 5.4 6.0 109 5.2 60.8 40.7 41.0 72.2 0.01 53.8 51.8
Camryn Lee - 21 11.3 5.2 2.7 0.3 0.5 0.3 0.9 4.4 3.8 9 0.5 9.9 44.1 11.1 66.7 -0.97 49.5 44.6
Kirsten Watt - 21 16.3 3.9 1.0 0.7 1.0 0.0 0.7 4.3 1.7 -4 -0.2 -3.9 34.4 20.9 68.8 -1.86 42.3 39.4
Charlotte Torgerson - 21 9.7 3.9 1.2 0.3 0.5 0.0 0.6 3.6 1.8 -24 -1.4 -34.8 36.0 37.3 50.0 0.43 51.1 50.7
Layla Tillery - 19 13.9 3.3 1.9 0.8 1.1 0.2 1.5 3.7 2.1 23 1.2 22.1 25.7 20.0 80.0 -1.09 37.3 27.1
Shayne Burton - 21 17.4 2.8 2.3 1.0 1.0 0.1 0.8 2.1 4.3 88 4.9 76.6 36.4 12.5 74.3 0.39 49.7 37.5
Kamora Brown - 2 1.4 2.0 0.0 0.0 0.0 0.0 0.0 1.5 0.5 -2 -0.1 -1.0 66.7 0 0 -2.58 66.7 66.7
Asia Cairns - 7 3.7 2.0 1.6 0.4 0.3 0.0 0.4 1.9 2.0 3 0.6 21.1 38.5 40.0 100.0 -0.37 50.4 46.2
Liv de la Fuente Bodenheimer - 11 5.2 1.2 0.5 0.4 0.5 0.2 0.4 1.7 0.6 27 3.9 996.9 21.1 7.7 100.0 -0.8 31.3 23.7
Ava Rivera - 3 3.6 0.7 2.3 0.7 0.3 0.0 0.0 2.0 2.0 -26 -1.7 -11.3 16.7 0.0 0 -1.69 16.7 16.7
Brennyn Higgins - 6 3.2 0.3 1.2 0.0 0.0 0.0 0.5 1.0 0.0 -6 -6.0 -100.7 16.7 0 0.0 -0.95 14.5 16.7
Taylor Allen - 6 1.4 0.0 0.2 0.0 0.0 0.0 0.0 0.5 -0.3 62 2.6 15.5 0.0 0.0 0 -1.41 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