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Montevallo

Also known as: Montevallo
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 → 1114 (#36) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1137 (#75) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1113 (#66) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +14.9 (#51) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +8.8 (#178) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.603 (#285) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +49.6 More → 0.996 (#67) NetEff +49.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.5 More → 0.771 (#253) AdjNet +10.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.6 More → 0.775 (#255) AdjNet +10.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.0 | AdjD 72.7 More → 0.679 (#252) AdjO 81.0 | AdjD 72.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.2 | AdjD 68.7 More → 0.685 (#80) AdjO 77.2 | AdjD 68.7
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 → 0.737 (#110) 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 → 0.735 (#102) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 23 More → 1182 (#60) RD 97 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Barry W 78 - 62
2025-11-15 @ Nova Southeastern L 78 - 94
2025-11-22 @ Ga. Southwestern L 73 - 74
2025-11-24 vs Fisk W 94 - 70
2025-11-26 vs Spring Hill W 90 - 68
2025-12-04 @ Lee L 51 - 75
2025-12-06 @ Trevecca Nazarene W 90 - 60
2025-12-11 vs Delta St. W 63 - 60
2025-12-13 vs Mississippi Col. W 89 - 62
2025-12-18 @ Christian Brothers W 75 - 54
2025-12-20 @ Union (TN) L 63 - 67
2025-12-31 vs Point U. W 91 - 61
2026-01-04 vs AUM W 89 - 62
2026-01-08 vs UAH W 71 - 68
2026-01-10 vs West Ala. L 61 - 71
2026-01-15 @ Valdosta St. L 83 - 101
2026-01-17 @ West Florida W 97 - 87
2026-01-22 vs Trevecca Nazarene W 93 - 77
2026-01-24 vs Lee W 71 - 66
2026-01-29 @ Mississippi Col. W 76 - 54
2026-01-31 @ Delta St. W 76 - 69
2026-02-05 vs Union (TN) W 97 - 63
2026-02-07 vs Christian Brothers W 75 - 66

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%
Derek Moore - 21 27.7 19.0 7.1 2.5 1.0 0.6 2.7 10.6 17.0 39 1.9 13.2 62.8 33.3 82.2 0.8 70.6 64.6
Brandon Fussell - 23 34.7 16.2 3.5 5.3 2.1 0.2 2.3 13.9 11.2 45 2.0 8.3 43.6 37.5 81.7 1.16 53.9 50.6
Jaylen Curry - 11 26.1 12.5 5.5 1.6 0.8 0.8 2.0 8.9 10.3 53 4.8 18.9 49.0 31.7 80.0 2.18 60.4 55.6
Devon McKinnon - 23 26.8 10.3 3.0 1.7 1.2 0.2 1.6 8.3 6.4 11 0.5 2.6 39.3 35.6 78.1 -1.07 54.1 49.0
Bryant James - 22 26.7 9.7 3.3 2.1 1.2 0.2 1.0 7.3 8.1 99 4.5 18.7 48.8 38.9 65.0 1.35 63.1 62.5
Tyson Sexton - 23 30.2 7.2 5.1 1.7 2.0 0.2 0.9 5.5 9.8 103 4.7 23.6 50.8 37.1 63.2 2.57 61.8 61.1
Sam Duskin - 23 18.6 5.0 4.1 0.4 0.6 0.1 0.7 4.9 4.6 -47 -2.1 -15.3 36.3 31.3 75.0 -2.49 48.9 47.8
O'Neill Connolly - 19 10.2 4.3 1.4 0.5 0.4 0.0 0.3 3.3 3.0 -30 -1.7 -23.6 46.0 40.0 44.4 -1.78 57.8 58.7
Reese Gurner - 12 16.4 3.9 2.6 1.0 0.2 0.1 0.5 3.0 4.3 -35 -3.5 -46.0 41.7 33.3 61.1 -1.76 53.5 50.0
Miller Moody - 17 7.5 2.5 1.6 0.2 0.2 0.1 0.4 1.5 2.8 4 0.3 3.9 65.4 42.9 42.9 2.18 66.9 71.2
Luke Stephens - 10 2.6 0.6 0.6 0.1 0.2 0.1 0.3 0.4 0.9 11 1.4 45.4 50.0 0.0 100.0 -0.4 61.5 50.0
Owen McGowan - 6 1.5 0.3 0.7 0.0 0.0 0.0 0.2 0.8 0.0 -4 -1.0 -61.9 20.0 0.0 0 -0.52 20.0 20.0
Ty Odom - 8 1.9 0.0 0.2 0.1 0.0 0.0 0.2 0.4 -0.2 11 1.8 113.8 0.0 0.0 0 0.13 0.0 0.0
Jayden Young - 6 1.5 0.0 0.3 0.0 0.0 0.0 0.3 0.2 -0.2 3 0.8 61.0 0.0 0.0 0 -0.55 0.0 0.0
Adam Barksdale - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Tyler Cone - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 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