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Catawba

Also known as: Catawba
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 → 984 (#304) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1059 (#168) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 932 (#579) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +0.9 (#162) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -5.2 (#443) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.632 (#313) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -0.7 More → 0.477 (#285) NetEff -0.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.6 More → 0.728 (#312) AdjNet +8.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.6 More → 0.734 (#313) AdjNet +8.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.7 | AdjD 63.9 More → 0.627 (#308) AdjO 69.7 | AdjD 63.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.2 | AdjD 63.5 More → 0.381 (#546) AdjO 58.2 | AdjD 63.5
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 → 0.369 (#476) 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 → 0.364 (#479) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 21 More → 915 (#354) RD 100 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Lees-McRae W 82 - 77
2025-11-15 @ Columbus St. L 66 - 73
2025-11-19 @ Augusta W 80 - 78
2025-11-25 @ Livingstone L 0 - 0
2025-11-29 @ Carson-Newman L 75 - 79
2025-12-01 @ Fayetteville St. L 63 - 79
2025-12-03 vs Shorter L 54 - 62
2025-12-06 vs Lincoln Memorial W 54 - 51
2025-12-13 @ Tusculum W 64 - 56
2025-12-17 vs Coker L 55 - 71
2025-12-20 vs Emory & Henry W 79 - 66
2026-01-10 vs UVA Wise W 69 - 54
2026-01-14 @ Anderson (SC) L 57 - 67
2026-01-17 @ Mars Hill W 75 - 60
2026-01-21 vs Newberry L 59 - 68
2026-01-23 vs Carson-Newman L 73 - 101
2026-01-28 vs Lenoir-Rhyne L 64 - 74
2026-01-30 @ Lincoln Memorial L 38 - 71
2026-02-04 @ Coker L 51 - 56
2026-02-07 vs Tusculum W 65 - 55

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%
Mary Spry - 16 26.7 18.6 6.2 0.5 2.1 0.9 1.1 12.4 14.8 -87 -4.8 -21.6 53.5 25.0 84.7 -0.3 61.6 54.0
Bailee Goodlett - 7 28.0 12.6 4.3 2.6 1.6 0.0 3.4 10.7 6.9 -16 -2.3 -10.6 40.0 27.3 89.3 2.29 50.4 42.0
Brooklin Ingram - 19 29.2 10.1 3.8 1.2 1.6 0.1 1.2 12.0 3.4 -45 -2.1 -12.3 30.7 26.4 77.8 -2.86 40.5 38.8
Sheree Gidney - 19 18.3 7.9 3.2 0.5 0.6 0.3 1.6 6.9 3.9 -18 -0.9 -6.3 43.5 32.1 67.5 3.12 50.5 46.9
Saniya Wilson - 19 19.3 5.9 2.8 1.8 1.4 0.1 2.5 5.4 4.0 -52 -2.6 -24.0 37.9 23.3 75.0 -1.43 47.1 41.3
Kaira Dixon-Booker - 19 20.7 5.2 4.7 1.1 0.4 0.1 1.9 4.8 4.8 -62 -3.1 -25.3 33.0 21.7 73.3 -0.69 44.2 35.7
Imani Williams - 19 24.0 5.0 1.8 2.4 1.0 0.1 2.4 6.1 1.8 -56 -2.8 -17.9 30.2 21.4 67.9 -1.33 37.0 32.8
Makayla Stokes - 19 20.7 4.5 3.9 0.4 0.3 0.2 1.2 4.9 3.3 -86 -4.1 -31.3 23.7 25.0 69.8 -1.88 38.4 30.1
Julie Janus - 19 20.3 2.9 3.8 1.4 1.7 0.2 2.2 3.4 4.4 49 2.5 25.2 24.6 17.9 64.3 3.63 35.6 28.5
Kaelyn Allen - 19 9.5 1.7 0.6 0.2 0.1 0.0 0.4 2.8 -0.6 -16 -0.9 -8.3 20.8 21.6 0 2.17 31.1 31.1
Gianna Miclis - 8 2.9 1.0 1.0 0.0 0.0 0.0 0.2 0.6 1.1 5 0.7 157.9 80.0 0 0.0 -0.31 59.2 80.0
Amaya Glenn - 13 6.9 0.6 1.2 0.5 0.5 0.0 0.5 0.7 1.6 -33 -2.5 -37.8 22.2 20.0 60.0 -1.11 35.7 27.8
Jasmyn Jenkins - 4 1.3 0.5 0.0 0.0 0.0 0.0 0.0 0.8 -0.2 68 3.2 16.5 33.3 0.0 0 -0.56 33.3 33.3
Ashantes Lewis - 2 1.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -14 -3.5 -23.9 0 0 0 -0.97 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