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Toccoa Falls

Also known as: Toccoa Falls
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 → 992 (#395) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 962 (#419) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1014 (#334) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -14.9 (#313) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -20.6 (#692) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.604 (#400) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -16.8 More → 0.126 (#602) AdjNet -16.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.0 More → 0.122 (#600) AdjNet -17.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.2 | AdjD 74.2 More → 0.235 (#619) AdjO 61.2 | AdjD 74.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.0 | AdjD 76.2 More → 0.321 (#652) AdjO 68.0 | AdjD 76.2
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 → 0.203 (#658) 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 → 0.227 (#649) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 227 | GP 5 More → 963 (#418) RD 227 | GP 5

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 @ Piedmont L 68 - 77
2025-11-11 vs Huntingdon L 72 - 92
2025-11-25 @ JWU Charlotte W 70 - 60
2025-12-06 @ Regent W 75 - 73
2026-01-17 vs JWU Charlotte W 76 - 73
2026-01-20 vs Piedmont L 0 - 0

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%
Will Gray-Watson - 4 32.9 16.8 4.2 2.8 1.0 0.2 2.2 11.0 11.8 - - - 43.2 28.6 88.5 - 60.4 50.0
Tony Perez - 5 22.4 9.6 3.6 1.0 0.4 0.2 0.8 7.0 7.0 - - - 51.4 30.0 100.0 - 61.6 55.7
Tyriq Brown - 5 32.9 9.2 5.4 2.6 3.0 0.0 2.4 9.4 8.4 - - - 29.8 16.0 77.8 - 41.9 34.0
Ryan Landers - 4 29.2 7.2 3.5 1.0 1.8 0.0 0.8 7.2 5.5 - - - 31.0 22.2 60.0 - 40.7 34.5
David Witcher - 4 17.6 6.8 2.8 0.2 0.2 0.0 1.0 5.2 3.8 - - - 47.6 40.0 83.3 - 57.1 52.4
Randall Robinson - 5 27.9 6.0 1.6 1.0 0.2 0.0 1.2 6.4 1.2 -45 -3.2 -39.5 28.1 15.4 55.6 1.45 37.6 31.2
Kaleb Thomas - 4 9.2 3.5 0.8 1.0 0.5 0.0 1.0 2.8 2.0 72 4.2 16.3 36.4 20.0 100.0 3.8 53.0 40.9
Cortavion Williams - 4 14.4 2.2 2.2 0.8 0.8 0.0 1.2 3.0 1.8 63 6.3 39.4 25.0 30.0 0 4.84 37.5 37.5
Davon Cottle - 1 16.0 2.0 0.0 2.0 1.0 0.0 0.0 4.0 1.0 - - - 25.0 0.0 0 - 25.0 25.0
Emmanuel Hughes - 3 4.9 1.3 0.7 0.7 0.0 0.3 0.3 1.0 1.7 - - - 33.3 0.0 100.0 - 51.5 33.3
Jeremiah Williams - 1 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 32 2.3 47.9 0 0 0 -2.75 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