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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 โ†’ 995 (#163) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1104 (#98) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1065 (#108) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +15.9 (#43) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +12.7 (#126) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.638 (#109) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +45.8 More โ†’ 0.992 (#79) NetEff +45.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +21.6 More โ†’ 0.924 (#22) AdjNet +21.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +20.6 More โ†’ 0.916 (#25) 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 โ†’ 0.803 (#27) 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 โ†’ 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 โ†’ 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 โ†’ 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 96 | GP 24 More โ†’ 1109 (#106) RD 96 | 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) - Incomplete score
2026-01-29 @ McKendree L 78 - 82
2026-01-31 @ Ill. Springfield L 74 - 78
2026-02-05 vs UIndy - Incomplete score
2026-02-07 vs Lewis W 63 - 53
2026-02-12 @ Upper Iowa L 57 - 65
2026-02-14 @ Quincy W 74 - 64
2026-02-19 vs Truman St. L 75 - 79
2026-02-21 vs William Jewell W 76 - 55
2026-02-26 @ Drury L 70 - 76

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Taye Moore - 27 32.8 15.0 3.1 3.4 1.3 0.1 2.8 12.2 7.9 - - - - 41.6 34.5 81.8 - 54.9 50.5
Jake Hamilton - 29 33.0 11.0 5.4 1.9 1.4 0.2 0.9 9.1 9.9 - - - - 46.0 36.5 67.2 - 55.3 53.2
Demetris Phillips - 26 21.4 10.1 5.6 0.7 0.7 0.5 1.0 6.4 10.2 - - - - 56.6 59.4 70.9 - 65.5 62.3
Vincent Davis III - 27 24.6 10.1 6.2 1.3 1.0 0.3 1.6 7.1 10.3 - - - - 55.7 27.3 52.8 - 57.2 56.5
Makeer Makeer - 21 24.6 9.2 4.3 0.6 0.7 0.9 1.3 5.5 8.8 - - - - 56.0 45.7 80.8 - 69.5 65.1
Miles Boland - 29 30.4 8.8 2.7 4.8 1.9 0.4 2.3 7.4 8.9 - - - - 41.2 25.8 86.9 - 52.7 47.0
Jayden Creighton - 15 17.3 5.7 2.5 0.4 0.3 0.5 0.9 4.5 4.2 - - - - 53.7 0.0 73.7 - 57.1 53.7
Colby Dolphin - 27 11.7 4.3 0.7 0.8 0.4 0.0 0.6 3.7 1.9 - - - - 36.4 35.4 83.3 - 53.8 50.5
Quenton Parker - 23 14.5 4.2 2.5 0.6 0.8 0.4 0.6 3.2 4.8 - - - - 42.5 40.7 81.2 - 60.6 57.5
Blessed Barhayiga - 28 9.2 3.4 1.8 0.4 0.2 0.1 0.9 2.6 2.4 - - - - 50.0 41.7 70.8 - 56.8 53.4
Anthony Medlock - 5 7.8 2.8 1.4 1.4 0.0 0.0 0.0 2.4 3.2 - - - - 50.0 28.6 0 - 58.3 58.3
Israel Akeye - 4 3.2 1.8 1.5 0.0 0.0 0.0 0.2 1.0 2.0 - - - - 50.0 0 50.0 - 52.7 50.0
Mason Dunlap - 10 5.5 1.7 0.2 0.6 0.5 0.0 0.8 1.7 0.5 - - - - 29.4 38.5 100.0 - 47.5 44.1
Rashad Smith - 9 3.5 1.6 0.9 0.0 0.2 0.2 0.1 1.0 1.8 - - - - 77.8 0 0.0 - 74.2 77.8
Alexander Gossett - 9 3.5 0.4 0.3 0.1 0.0 0.0 0.1 1.0 -0.2 - - - - 22.2 0.0 0 - 22.2 22.2

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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