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Mo.-St. Louis

Also known as: Mo.-St. Louis
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 → 1010 (#173) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1128 (#81) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1065 (#108) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +18.1 (#27) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +12.7 (#126) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.638 (#263) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +45.8 More → 0.992 (#84) NetEff +45.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +21.6 More → 0.924 (#104) AdjNet +21.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +20.6 More → 0.916 (#119) AdjNet +20.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 78.6 | AdjD 63.1 More → 0.803 (#117) AdjO 78.6 | AdjD 63.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.6 | AdjD 65.9 More → 0.708 (#64) AdjO 75.6 | AdjD 65.9
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 → 0.790 (#75) 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 → 0.773 (#76) 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 24 More → 1112 (#103) RD 97 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 @ Northwest Mo. St. L 79 - 82
2025-11-02 @ Missouri Western L 63 - 71
2025-11-14 @ Michigan Tech W 78 - 57
2025-11-15 @ Northern Mich. W 80 - 67
2025-11-21 vs UHSP W 96 - 52
2025-11-26 vs Ky. Wesleyan W 72 - 61
2025-11-29 vs Ill. Springfield L 76 - 86
2025-12-04 @ Lewis W 78 - 59
2025-12-06 @ UIndy L 64 - 69
2025-12-09 @ Maryville (MO) W 69 - 52
2025-12-13 vs Wis.-Parkside W 61 - 56
2025-12-16 vs Tex. A&M-Kingsville W 61 - 56
2025-12-17 @ DBU L 77 - 81
2026-01-02 vs Quincy W 93 - 60
2026-01-04 vs Upper Iowa L 67 - 79
2026-01-08 @ Rockhurst L 79 - 85
2026-01-10 @ Southwest Baptist W 78 - 46
2026-01-15 vs Missouri S&T L 81 - 84
2026-01-17 vs Lincoln (MO) W 78 - 64
2026-01-24 vs Maryville (MO) W 99 - 72
2026-01-29 @ McKendree L 78 - 82
2026-01-31 @ Ill. Springfield L 74 - 78
2026-02-05 vs UIndy W 62 - 58
2026-02-07 vs Lewis W 63 - 53

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%
Taye Moore - 22 32.2 14.6 3.2 3.5 1.5 0.0 2.8 11.9 8.0 110 5.0 16.5 40.8 34.1 80.3 0.16 54.3 49.6
Jake Hamilton - 24 32.9 11.9 5.5 2.2 1.3 0.2 0.8 9.0 11.4 175 7.3 26.6 50.2 40.0 68.8 2.76 60.4 58.6
Vincent Davis III - 24 24.7 10.2 5.9 1.4 1.0 0.3 1.5 7.1 10.2 82 3.4 18.9 56.7 27.3 55.3 -0.4 58.5 57.6
Demetris Phillips - 21 20.0 9.3 5.3 0.8 0.6 0.5 0.9 6.3 9.4 93 4.4 21.2 52.3 57.7 69.4 -0.54 61.5 58.0
Makeer Makeer - 16 23.4 9.0 3.6 0.6 0.8 0.9 1.2 5.6 8.0 8 0.5 2.4 52.2 41.0 82.9 0.3 66.6 61.1
Miles Boland - 24 29.7 8.4 2.5 4.7 2.0 0.4 2.0 6.9 9.0 166 6.9 24.9 42.2 28.2 87.0 2.85 54.2 48.8
Jayden Creighton - 13 17.7 6.0 2.6 0.4 0.3 0.5 0.9 4.7 4.2 19 1.5 7.9 52.5 0.0 77.8 0.14 56.6 52.5
Colby Dolphin - 22 13.3 5.1 0.8 0.9 0.5 0.0 0.7 4.1 2.6 36 1.6 15.2 38.9 37.8 83.3 -0.37 57.7 54.4
Quenton Parker - 20 14.6 4.5 2.4 0.6 0.9 0.4 0.7 3.4 4.8 54 2.7 22.7 43.3 42.0 83.3 -0.98 61.6 59.0
Blessed Barhayiga - 24 9.4 3.5 1.8 0.4 0.2 0.1 1.0 2.7 2.3 42 1.8 27.3 50.0 42.9 72.7 -0.09 56.3 52.3
Anthony Medlock - 5 7.8 2.8 1.4 1.4 0.0 0.0 0.0 2.4 3.2 11 2.2 1200.0 50.0 28.6 0 -0.51 58.3 58.3
Rashad Smith - 8 3.6 1.8 1.0 0.0 0.2 0.1 0.1 1.1 1.9 -8 -1.6 -39.5 77.8 0 0.0 -0.33 74.2 77.8
Israel Akeye - 3 3.8 1.7 1.0 0.0 0.0 0.0 0.3 1.0 1.3 -2 -0.7 -23.5 33.3 0 50.0 -0.65 44.3 33.3
Mason Dunlap - 9 5.9 1.6 0.2 0.7 0.6 0.0 0.9 1.8 0.3 -13 -1.4 -67.0 25.0 33.3 100.0 -0.98 41.5 37.5
Alexander Gossett - 7 3.7 0.6 0.4 0.1 0.0 0.0 0.1 1.1 -0.1 0 0.0 0.0 25.0 0.0 0 -0.42 25.0 25.0

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