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Maryville (MO)

Also known as: Maryville (MO)
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 → 816 (#414) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 790 (#524) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 766 (#600) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -9.2 (#283) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -12.6 (#485) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.204 (#486) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +55.9 More → 0.997 (#52) NetEff +55.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.3 More → 0.565 (#383) AdjNet +2.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.3 More → 0.566 (#386) AdjNet +2.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.8 | AdjD 75.5 More → 0.528 (#394) AdjO 76.8 | AdjD 75.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 84.9 More → 0.233 (#572) AdjO 71.8 | AdjD 84.9
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 → 0.212 (#523) 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 → 0.201 (#539) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 23 More → 691 (#502) RD 111 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Northern Mich. L 70 - 91
2025-11-15 @ Michigan Tech L 61 - 72
2025-11-20 @ Pittsburg St. L 66 - 93
2025-11-21 @ Mo. Southern St. L 78 - 114
2025-11-24 vs Union (TN) W 78 - 71
2025-12-04 @ UIndy L 52 - 67
2025-12-06 @ Ill. Springfield L 68 - 81
2025-12-09 vs Mo.-St. Louis L 52 - 69
2025-12-11 vs McKendree L 50 - 70
2025-12-16 vs Harris-Stowe L 88 - 92
2025-12-19 vs UHSP W 86 - 68
2025-12-21 @ Central Mo. L 63 - 110
2026-01-02 vs Upper Iowa L 73 - 95
2026-01-04 vs Lewis L 66 - 86
2026-01-08 @ William Jewell L 59 - 121
2026-01-10 @ Rockhurst L 65 - 104
2026-01-15 vs Drury L 68 - 82
2026-01-17 vs Missouri S&T L 80 - 92
2026-01-22 @ Lincoln (MO) L 67 - 86
2026-01-24 @ Mo.-St. Louis L 72 - 99
2026-01-31 @ McKendree L 71 - 88
2026-02-05 vs Ill. Springfield L 71 - 85
2026-02-07 vs UIndy L 67 - 98

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%
Evan Palmquist - 15 31.2 15.2 4.0 1.7 1.1 0.6 2.9 13.9 5.9 -136 -9.7 -44.7 41.8 34.1 63.9 -3.0 50.9 49.3
Henry Sanchez Perez - 23 28.6 12.5 2.4 1.6 0.9 0.1 2.2 12.0 3.2 -90 -8.2 -482.1 36.1 35.6 87.9 -0.01 49.2 46.6
Noah Courtney - 12 17.4 9.8 3.4 0.8 0.6 0.5 2.5 7.6 5.0 -14 -1.3 -9.1 45.1 27.8 75.0 -0.6 53.9 47.8
Eric Hackett - 23 26.0 9.4 2.4 1.6 0.9 0.0 1.7 9.5 3.1 -127 -5.5 -42.6 38.1 26.7 71.1 -1.67 46.0 43.3
Preston Clark - 16 28.8 8.4 3.1 1.3 0.6 0.2 2.1 7.1 4.4 -57 -3.6 -212.4 41.6 32.9 78.3 0.22 54.8 51.8
Kobe Clark - 23 33.4 7.7 8.6 3.6 1.9 0.7 2.1 7.2 13.1 -223 -9.7 -58.5 41.8 28.3 54.5 -1.27 48.0 46.4
Cam Liggins - 5 14.3 6.6 2.4 0.6 0.0 0.0 1.2 4.6 3.8 - - - 43.5 40.0 61.1 - 53.4 47.8
Raynard Horry - 14 16.1 5.1 1.2 1.1 0.9 0.0 0.9 5.6 1.9 -139 -10.7 -61.4 29.1 22.6 76.0 -2.32 40.0 33.5
Lincoln Palbicki - 21 19.0 4.6 5.3 0.5 0.2 0.3 1.2 4.8 5.0 -12 -0.6 -20.9 44.0 0.0 56.2 0.21 45.3 44.0
Gabriel Clemmons - 23 13.1 4.1 2.6 0.3 0.1 0.1 0.3 4.1 2.7 -152 -10.9 -61.8 40.0 19.0 60.9 -1.81 44.7 42.1
Greg Ballard - 16 15.6 3.8 1.2 0.2 0.2 0.2 0.8 4.1 0.8 -60 -3.8 -43.7 32.3 31.9 60.0 0.27 44.6 43.8
Cannon Roth - 13 14.4 3.7 2.5 0.4 0.5 0.2 1.1 2.8 3.2 -37 -2.8 -496.1 48.6 0.0 85.7 0.06 55.6 48.6
Jonathan Gray - 8 3.1 0.6 0.2 0.1 0.2 0.0 0.1 0.5 0.6 -11 -1.4 -128.2 50.0 50.0 0 0.78 62.5 62.5
Rande Harper - 5 1.2 0.4 0.0 0.0 0.0 0.0 0.2 0.2 0.0 - - - 0.0 0 100.0 - 53.2 0.0
Dwayne Chatman - 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