🐻⬇️🏀

Florida Tech

Also known as: Florida Tech
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 → 891 (#454) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 889 (#444) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 921 (#594) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -6.7 (#232) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -4.8 (#435) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.177 (#498) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -13.7 More → 0.146 (#383) NetEff -13.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.4 More → 0.375 (#451) AdjNet -4.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.1 More → 0.382 (#450) AdjNet -4.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.4 | AdjD 66.4 More → 0.454 (#442) AdjO 64.4 | AdjD 66.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.4 | AdjD 65.4 More → 0.367 (#565) AdjO 59.4 | AdjD 65.4
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 → 0.354 (#482) 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 → 0.351 (#488) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 23 More → 909 (#363) RD 101 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-06 @ Jacksonville L 47 - 75
2025-11-14 @ Edward Waters W 70 - 65
2025-11-19 @ USC Beaufort L 80 - 82
2025-11-22 @ Palm Beach Atl. L 53 - 57
2025-11-25 @ Flagler W 86 - 75
2025-11-28 @ Bemidji St. L 58 - 68
2025-11-29 @ Davis & Elkins W 69 - 66
2025-12-03 @ Rollins W 57 - 54
2025-12-06 vs Saint Leo L 70 - 73
2025-12-16 vs Eckerd L 42 - 75
2025-12-20 vs Southern N.H. L 62 - 80
2025-12-21 vs Mercy L 56 - 73
2025-12-31 vs Embry-Riddle (FL) L 63 - 69
2026-01-03 @ Tampa L 66 - 87
2026-01-10 vs Fla. Southern L 52 - 72
2026-01-14 @ Nova Southeastern L 50 - 74
2026-01-21 vs Barry W 55 - 37
2026-01-24 vs Tampa L 54 - 72
2026-01-28 @ Embry-Riddle (FL) W 80 - 77
2026-01-31 @ Saint Leo W 77 - 74
2026-02-04 vs Rollins L 51 - 53
2026-02-07 @ Eckerd L 42 - 84

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%
Tai Roberts - 22 35.8 13.6 4.6 2.8 1.0 0.1 3.1 11.9 7.1 -183 -8.7 -35.1 37.5 27.7 84.2 -0.08 49.4 42.0
Nandinkhusel Nyamjav - 14 35.1 12.6 4.6 3.5 1.6 0.6 3.2 11.9 7.8 -43 -3.6 -34.7 38.6 29.0 77.5 2.42 48.2 44.0
Elif Dila Bayrak - 21 32.5 12.0 4.4 1.6 0.7 0.2 1.7 11.8 5.5 -159 -8.0 -31.9 34.4 29.2 86.8 -0.13 48.0 44.5
Nadine Johnson - 1 21.1 10.0 5.0 0.0 4.0 1.0 3.0 8.0 9.0 32 4.0 22.1 50.0 50.0 0 -1.23 62.5 62.5
Amanda Ogbonna - 22 19.3 8.3 5.5 0.5 0.6 0.2 1.7 7.5 5.8 -124 -6.2 -36.9 42.8 0.0 65.6 -1.32 47.2 42.8
Mikayla Morin - 22 12.4 5.7 5.0 0.3 0.4 0.4 1.9 5.4 4.5 -29 -1.4 -20.0 44.5 0 69.0 1.4 47.8 44.5
Remingtyn Smith - 22 27.2 5.1 3.4 2.9 1.5 0.1 2.3 5.7 5.1 -158 -7.5 -55.0 27.2 25.4 84.8 -2.12 40.5 34.0
Deirdre Miller - 12 21.9 4.8 3.8 0.9 0.6 0.3 0.8 4.6 5.0 -78 -6.5 -22.2 32.7 36.4 90.0 -3.2 48.0 43.6
Michaela Medico - 21 19.3 3.0 3.2 0.2 0.3 0.0 1.0 2.8 2.9 -103 -5.2 -36.2 42.4 0.0 48.1 -1.3 44.4 42.4
McKenzie Winder - 19 12.4 1.6 1.8 0.6 0.3 0.1 0.5 1.8 2.1 -6 -0.3 -4.3 28.6 18.2 70.0 1.68 39.3 34.3
Sydney Logsdon - 17 12.6 1.5 1.3 0.5 0.2 0.0 0.5 3.3 -0.3 -47 -2.9 -188.9 16.1 12.8 50.0 -1.29 22.0 21.4
Rea Ukaj - 8 3.8 0.5 0.2 0.1 0.1 0.0 0.0 0.6 0.4 -13 -2.2 -56.0 20.0 0.0 100.0 -0.71 34.0 20.0

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