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Tampa

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Tampa
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 → 1068 (#77) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1127 (#82) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 991 (#337) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +12.3 (#74) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +2.9 (#275) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.552 (#314) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +42.4 More → 0.991 (#89) NetEff +42.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.1 More → 0.781 (#245) AdjNet +11.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.1 More → 0.784 (#246) AdjNet +11.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.2 | AdjD 78.3 More → 0.693 (#237) AdjO 87.2 | AdjD 78.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.0 | AdjD 79.4 More → 0.535 (#238) AdjO 81.0 | AdjD 79.4
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 → 0.605 (#227) 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 → 0.587 (#242) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 21 More → 1031 (#198) RD 96 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs Kentucky St. W 104 - 69
2025-11-17 vs Staten Island W 94 - 90
2025-11-20 vs Anderson (SC) L 67 - 93
2025-11-22 @ Nova Southeastern L 99 - 112
2025-11-28 vs P.R.-Mayaguez W 94 - 62
2025-11-29 vs Claflin W 103 - 72
2025-12-03 @ Eckerd L 76 - 88
2025-12-13 @ Rollins L 78 - 84
2025-12-16 @ Lynn W 79 - 78
2025-12-20 vs UIndy W 79 - 73
2025-12-21 vs St. Thomas Aquinas W 92 - 77
2026-01-03 vs Florida Tech W 78 - 65
2026-01-07 vs Saint Leo W 99 - 91
2026-01-10 vs Barry L 82 - 83
2026-01-14 @ Palm Beach Atl. L 70 - 82
2026-01-17 @ Embry-Riddle (FL) W 107 - 87
2026-01-21 vs Fla. Southern L 76 - 84
2026-01-24 @ Florida Tech L 81 - 95
2026-01-31 vs Nova Southeastern L 78 - 110
2026-02-04 vs Eckerd L 76 - 77
2026-02-07 vs Embry-Riddle (FL) W 104 - 93

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%
Ryan Blount - 21 33.1 20.5 7.3 3.3 1.3 0.4 2.1 14.3 16.5 42 2.0 9.3 48.2 41.7 82.7 -2.2 62.6 58.1
Trey Lane - 21 29.9 15.0 3.2 3.1 2.3 0.1 2.3 12.0 9.4 67 3.2 16.5 39.3 34.2 96.4 0.62 56.9 51.8
Camden McCormick - 20 25.8 10.7 3.8 4.7 0.9 0.1 1.9 9.4 8.9 65 3.2 15.8 39.9 28.6 68.8 -0.26 49.5 45.2
B.J. Schaeffer - 20 20.8 10.3 2.9 2.5 1.0 0.6 1.6 8.3 7.2 96 4.8 30.3 50.6 18.8 61.4 2.47 53.9 51.5
Justin Taylor - 18 24.8 10.1 3.5 1.7 0.5 0.1 0.9 8.2 6.7 -23 -5.8 -8.4 46.9 36.0 75.0 -1.38 59.1 57.8
Trent Scott - 9 18.9 6.3 2.7 2.9 1.1 0.3 1.1 5.0 7.2 -28 -3.5 -23.6 48.9 20.0 47.8 -2.51 51.7 51.1
Ben Southerland - 10 14.6 5.3 3.1 0.8 0.3 0.8 0.7 5.0 4.6 5 0.6 17.1 42.0 38.5 33.3 -1.15 51.6 52.0
Kyler Lamb - 20 13.7 5.0 2.6 0.6 0.3 0.5 0.6 4.0 4.5 54 2.7 38.0 51.2 23.1 76.2 1.67 56.6 53.1
Mateusz Szpin - 20 12.6 3.8 2.8 0.5 0.3 0.3 0.5 3.0 4.2 57 2.9 55.4 54.2 40.0 60.0 0.54 57.2 55.9
Malachi Martis - 7 9.4 3.4 2.6 0.0 0.3 0.0 1.0 2.7 2.6 23 3.3 54.2 52.6 28.6 40.0 0.58 56.6 57.9
Ian Higdon - 21 16.4 3.3 3.8 1.5 0.8 0.3 0.8 2.4 6.5 25 1.2 10.9 52.9 100.0 40.0 -0.1 52.0 53.9
Cole Gingeleski - 14 7.7 2.4 1.9 0.1 0.1 0.5 0.4 1.5 3.3 22 1.7 15.3 66.7 55.6 50.0 1.78 77.7 78.6
Grady Schwartz - 14 5.0 1.9 1.0 0.6 0.1 0.3 0.5 1.4 1.9 -17 -1.3 -19.4 55.0 0 40.0 -1.29 53.3 55.0
Drew Knuppel - 10 3.9 1.4 0.5 0.0 0.0 0.2 0.2 1.8 0.1 10 1.1 24.1 33.3 20.0 0.0 0.58 36.2 38.9
Jorge Cardenas - 9 1.9 0.7 0.2 0.3 0.1 0.0 0.2 0.8 0.3 -5 -0.6 -44.9 28.6 20.0 25.0 -0.06 34.2 35.7
Jordan Lanier - 13 2.6 0.7 0.2 0.2 0.3 0.1 0.0 0.5 0.9 -12 -0.9 -24.8 28.6 0.0 83.3 -0.91 46.7 28.6

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