🐻⬇️🏀

Erskine

Also known as: Erskine
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 → 882 (#390) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 660 (#544) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 738 (#602) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -23.8 (#311) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -27.7 (#564) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.103 (#525) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.0 More → 0.422 (#255) NetEff -3.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -20.3 More → 0.088 (#628) AdjNet -20.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.1 More → 0.087 (#628) AdjNet -20.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.2 | AdjD 79.0 More → 0.207 (#623) AdjO 64.2 | AdjD 79.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.2 | AdjD 79.6 More → 0.107 (#600) AdjO 56.2 | AdjD 79.6
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 → 0.066 (#592) 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 → 0.067 (#596) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 125 | GP 20 More → 526 (#517) RD 125 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ The Citadel L 61 - 105
2025-11-14 @ Anderson (SC) L 61 - 101
2025-11-15 @ Newberry L 84 - 97
2025-11-18 @ Paine L 60 - 96
2025-11-21 @ Wofford L 57 - 81
2025-11-24 @ Lander L 50 - 95
2025-11-25 @ USC Aiken L 64 - 96
2025-12-03 vs Emmanuel (GA) L 56 - 62
2025-12-13 @ Ferrum L 48 - 76
2026-01-03 vs Southern Wesleyan L 69 - 77
2026-01-07 vs Young Harris L 70 - 78
2026-01-10 @ Mount Olive L 67 - 97
2026-01-13 @ Shorter L 49 - 66
2026-01-17 vs UNC Pembroke L 53 - 78
2026-01-19 @ Lees-McRae L 49 - 78
2026-01-21 vs Francis Marion L 54 - 56
2026-01-23 vs Barton L 56 - 92
2026-01-28 @ Emmanuel (GA) L 53 - 113
2026-02-04 @ Young Harris L 53 - 85
2026-02-07 vs North Greenville L 51 - 76

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%
Jackson Roberts - 1 16.0 12.0 5.0 0.0 0.0 0.0 0.0 6.0 11.0 -26 -1.9 -74.0 66.7 0 80.0 0.1 73.2 66.7
Max Peeler - 19 31.9 9.5 1.7 0.7 0.6 0.0 0.8 9.1 2.6 -305 -17.9 -87.1 33.5 33.3 65.0 -4.32 49.8 48.6
Dorien Johnson - 19 21.0 9.4 3.5 1.1 0.7 0.1 1.6 8.6 4.5 3 0.2 1.3 40.2 34.8 69.6 -0.52 51.4 49.7
Jonah Lawrence - 1 24.0 9.0 7.0 6.0 3.0 0.0 2.0 2.0 21.0 -32 -2.0 -40.2 50.0 0 87.5 0.34 81.5 50.0
Ruben Salazar - 13 27.1 8.0 4.5 2.1 1.0 0.6 2.3 8.5 5.5 -65 -5.9 -26.8 43.6 9.1 31.6 2.06 43.9 44.5
KD Gordon - 18 20.0 7.5 2.5 0.7 0.8 0.3 1.3 4.8 5.7 -207 -12.9 -78.7 44.8 37.8 74.1 -1.12 60.9 54.6
Mccaskill Rivers - 1 16.0 7.0 6.0 1.0 0.0 0.0 2.0 6.0 6.0 -42 -3.0 -46.3 33.3 0.0 60.0 0.66 42.7 33.3
MJ Legette - 19 19.7 6.9 2.1 1.4 0.8 0.2 1.1 4.8 5.5 - - - 40.2 40.0 76.6 - 58.6 52.2
Noah Castaneda - 19 21.8 5.5 3.8 0.6 0.5 0.7 1.1 5.3 4.8 -78 -4.9 -24.9 36.0 26.4 63.3 -2.98 46.4 43.0
Andrei Kyle Honrada - 19 15.6 3.8 0.8 1.8 0.7 0.0 1.3 4.4 1.5 -113 -7.1 -46.6 35.7 18.5 63.6 0.3 40.5 38.7
Valerian Bruce - 11 16.1 3.2 2.1 1.7 0.2 0.0 0.6 3.2 3.4 -46 -5.1 -61.3 31.4 21.4 76.9 1.62 43.0 35.7
Kee Linney - 17 14.0 2.5 1.5 0.2 0.3 0.0 0.4 2.8 1.3 -138 -8.6 -84.4 35.4 12.5 41.7 -4.71 39.4 38.5
Josiah Peeples - 13 5.4 1.9 0.2 0.0 0.0 0.1 0.5 1.8 -0.2 -7 -0.7 -17.3 34.8 16.7 80.0 0.44 45.6 37.0
Cam Moss - 19 10.0 1.8 0.8 1.1 0.3 0.1 1.1 2.5 0.6 - - - 29.8 17.2 40.0 - 35.6 35.1
Jed Moor - 19 6.7 1.3 0.5 0.2 0.1 0.0 0.5 1.5 0.0 14 0.9 18.1 27.6 32.0 0.0 2.1 40.2 41.4
Curtis Bowser, Jr. - 3 1.1 1.0 0.3 0.0 0.0 0.0 0.0 0.3 1.0 15 1.7 378.9 100.0 100.0 0 1.12 150.0 150.0
Raquavian Jones - 8 2.7 0.9 0.2 0.1 0.2 0.0 0.0 0.9 0.6 - - - 28.6 16.7 100.0 - 44.4 35.7
Quintel Johnson - 12 2.3 0.4 0.5 0.0 0.0 0.0 0.2 0.3 0.3 -5 -0.7 -137.9 50.0 0.0 33.3 -0.12 47.0 50.0
Ryan Seagrave - 15 5.6 0.3 1.1 0.1 0.1 0.1 0.4 0.3 1.1 -68 -5.2 -308.5 50.0 0.0 50.0 -1.5 51.2 50.0
Zack Mathis - 4 2.4 0.2 0.0 0.0 0.0 0.0 0.0 0.2 0.0 - - - 0.0 0 50.0 - 26.6 0.0
LJ Sindab - 1 3.4 0.0 1.0 0.0 1.0 0.0 0.0 2.0 0.0 - - - 0.0 0.0 0 - 0.0 0.0
Chedlet Delva - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -51 -3.6 -72.6 0 0 0 0.43 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