🐻⬇️🏀

Rollins

Also known as: Rollins
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 → 996 (#189) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1031 (#212) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1003 (#258) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +9.4 (#110) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +5.9 (#224) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.530 (#320) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +14.3 More → 0.820 (#218) NetEff +14.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.7 More → 0.709 (#291) AdjNet +7.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.7 More → 0.711 (#294) AdjNet +7.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.8 | AdjD 74.5 More → 0.640 (#285) AdjO 80.8 | AdjD 74.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.3 | AdjD 72.3 More → 0.612 (#134) AdjO 77.3 | AdjD 72.3
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 → 0.649 (#190) 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 → 0.639 (#194) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 91 | GP 23 More → 1030 (#193) RD 91 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 @ Fort Valley St. L 74 - 76
2025-11-16 vs Union (TN) W 84 - 82
2025-11-19 vs Fort Lauderdale W 93 - 60
2025-11-22 @ Lynn L 92 - 94
2025-11-24 vs P.R.-Bayamon W 90 - 63
2025-11-25 vs Warner W 119 - 49
2025-12-03 vs Florida Tech L 65 - 71
2025-12-06 @ Fla. Southern L 88 - 93
2025-12-13 vs Tampa W 84 - 78
2025-12-15 vs South Fla. Bible W 85 - 57
2025-12-20 @ Hawaii Hilo W 89 - 69
2025-12-21 @ Colo. Sch. of Mines L 70 - 72
2025-12-31 vs Saint Leo W 85 - 74
2026-01-03 @ Barry W 79 - 69
2026-01-07 @ Eckerd L 56 - 82
2026-01-10 vs Nova Southeastern L 73 - 91
2026-01-17 @ Palm Beach Atl. L 70 - 87
2026-01-21 vs Embry-Riddle (FL) W 96 - 88
2026-01-24 @ Saint Leo W 80 - 63
2026-01-28 vs Lynn L 69 - 86
2026-01-31 vs Eckerd W 90 - 65
2026-02-04 @ Florida Tech L 74 - 83
2026-02-07 vs Fla. Southern W 99 - 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%
Jah Nze - 23 30.0 16.9 3.2 2.5 1.7 0.3 2.9 12.1 9.5 -37 -1.7 -8.6 42.7 37.3 75.8 -1.22 57.6 51.6
Omar Figueroa - 23 30.9 16.1 3.5 3.1 1.7 0.1 1.7 11.5 11.3 -7 -0.3 -1.4 47.2 43.0 78.7 1.23 62.1 58.7
Jackson Gaffney - 20 23.3 9.3 3.9 1.7 0.6 0.3 1.8 8.0 6.0 7 1.4 3.3 41.5 33.3 75.6 -0.72 52.0 47.8
Mayson Quartlebaum - 23 17.5 9.1 4.5 1.6 0.6 0.3 1.0 5.5 9.6 -48 -2.1 -14.5 62.7 21.1 63.5 -1.79 65.9 64.3
Ricky Ghedini - 23 20.4 7.9 5.0 2.1 0.7 0.6 1.2 6.0 9.1 37 1.7 9.5 48.9 33.8 60.5 1.01 58.1 56.8
Marshall Klug - 23 17.7 7.5 3.5 1.1 0.4 0.2 0.6 4.4 7.8 7 0.3 3.7 45.1 30.2 91.2 -0.53 65.6 54.4
Ryan Renfro - 17 20.2 7.3 4.8 2.3 0.4 0.7 1.1 5.5 8.9 28 1.8 27.6 52.1 0.0 81.2 1.57 57.4 52.1
William Jobe - 15 9.7 3.6 1.8 0.3 0.1 0.3 0.7 2.9 2.6 -21 -1.4 -17.2 48.8 38.1 50.0 0.07 58.0 58.1
Michael Niemann - 16 9.4 3.1 0.2 0.4 0.1 0.0 0.2 2.2 1.4 -10 -0.7 -14.3 44.4 42.9 62.5 -0.37 62.0 61.1
Matus Malovec - 23 21.5 2.8 5.3 1.9 0.7 0.2 1.2 2.9 6.8 -7 -0.3 -2.3 32.8 22.0 80.0 3.41 44.2 39.6
Michael Kalina - 18 10.1 2.7 2.1 1.4 0.5 0.1 0.9 1.7 4.2 -25 -1.5 -21.6 58.1 42.9 52.6 0.71 62.2 62.9
Ian Hart - 11 5.1 2.3 1.1 0.5 0.1 0.0 0.5 1.4 2.2 -43 -4.3 -264.6 46.7 25.0 71.4 -1.19 59.1 50.0
Cheo James - 12 5.6 2.2 0.2 0.3 0.1 0.0 0.4 1.4 1.0 -49 -4.5 -103.2 47.1 35.7 85.7 -3.3 67.2 61.8
Caleb Samuel - 4 1.4 0.5 0.2 0.0 0.0 0.0 0.0 1.5 -0.8 - - - 16.7 0.0 0 - 16.7 16.7
Jett Wells - 5 0.9 0.4 0.0 0.0 0.0 0.0 0.0 0.2 0.2 -3 -0.8 -146.9 100.0 0 0.0 0.08 53.2 100.0

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