🐻⬇️🏀

Monmouth (IL)

Also known as: Monmouth (IL)
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 → 1141 (#61) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1137 (#83) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1160 (#41) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -1.8 (#147) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -1.5 (#373) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.573 (#422) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.3 More → 0.277 (#473) AdjNet -8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.7 More → 0.266 (#476) AdjNet -8.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.1 | AdjD 75.9 More → 0.371 (#463) AdjO 70.1 | AdjD 75.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.8 | AdjD 70.8 More → 0.612 (#196) AdjO 75.8 | AdjD 70.8
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 → 0.584 (#328) 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 → 0.607 (#311) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 21 More → 1225 (#47) RD 110 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Millikin L 55 - 71
2025-11-11 @ Eureka W 90 - 72
2025-11-15 @ Rockford W 82 - 78
2025-11-18 @ Westminster (MO) W 81 - 58
2025-11-22 vs Eureka W 86 - 61
2025-11-25 @ Dubuque L 77 - 88
2025-12-03 vs Illinois Col. W 74 - 72
2025-12-06 @ Knox W 71 - 64
2025-12-13 vs Lawrence W 81 - 75
2025-12-14 vs Blackburn W 76 - 66
2025-12-18 vs Loras L 59 - 81
2025-12-30 vs Aurora L 74 - 78
2026-01-03 @ Cornell College W 70 - 67
2026-01-07 vs Ripon W 81 - 75
2026-01-10 @ Beloit W 87 - 55
2026-01-13 vs Grinnell W 94 - 82
2026-01-17 @ Lawrence W 75 - 62
2026-01-21 @ Lake Forest W 97 - 96
2026-01-27 vs Cornell College W 83 - 66
2026-01-31 vs Beloit W 74 - 66
2026-02-04 @ Grinnell L 0 - 2
2026-02-07 @ Ripon W 79 - 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%
Zay Brown - 21 32.9 19.2 9.5 2.2 0.6 1.0 2.0 15.6 14.9 120 5.5 24.5 46.5 29.5 71.3 0.61 53.1 48.5
Cameron Thomas - 22 30.1 16.4 3.0 1.0 0.9 0.5 1.7 11.7 8.6 112 5.1 27.1 47.1 38.8 75.0 0.5 60.3 56.2
Max Maring - 22 22.3 11.1 5.0 0.6 0.4 0.8 1.3 6.9 9.8 57 2.5 17.1 50.3 57.1 75.5 0.18 61.7 54.3
Kyle Taylor - 22 31.5 10.4 4.0 4.3 1.2 0.1 2.0 7.5 10.7 114 5.2 26.8 37.0 33.3 82.8 1.07 54.9 44.5
Jason Huber - 22 26.6 6.2 4.8 2.0 1.3 0.4 1.0 4.3 9.5 118 5.4 33.5 42.1 36.7 70.9 2.36 57.5 51.6
Kamran Banks - 21 13.9 4.7 2.7 1.0 0.6 0.0 1.3 4.7 3.0 -17 -0.8 -7.7 35.4 35.7 63.9 0.2 42.7 37.9
Jase Whiteman - 21 13.6 4.2 1.3 0.8 0.6 0.0 0.7 4.1 2.1 -35 -1.7 -15.9 36.8 27.5 55.6 -3.41 48.4 47.7
Julian Samuels - 7 10.5 3.4 1.0 0.3 0.9 0.4 0.4 3.1 2.4 14 2.3 24.5 36.4 50.0 66.7 -0.32 48.7 45.5
Payton Crims - 22 11.3 2.9 2.0 0.6 0.3 0.1 0.2 2.0 3.7 32 1.5 26.4 55.6 23.1 61.1 4.01 60.5 58.9
Turner Plumer - 9 10.3 2.8 1.8 0.7 0.7 0.2 0.3 2.3 3.4 38 4.2 40.6 47.6 0 62.5 0.61 51.0 47.6
Jay Brown - 8 10.5 1.6 2.6 0.1 0.1 0.4 0.9 1.5 2.5 1 0.1 2.3 33.3 0 83.3 1.47 44.4 33.3
Nick Plesko - 5 0.7 1.2 0.0 0.0 0.0 0.0 0.0 0.8 0.4 - - - 50.0 66.7 0 - 75.0 75.0
Connor Watson - 22 8.6 1.0 1.0 0.5 0.1 0.0 0.3 1.1 1.2 -15 -0.7 -9.5 29.2 27.3 50.0 0.77 42.2 41.7
Ryken Howard - 4 1.7 0.8 0.5 0.5 0.0 0.0 0.0 0.2 1.5 - - - 100.0 100.0 0 - 150.0 150.0
Ivan Iverson - 3 0.7 0.7 0.3 0.0 0.0 0.0 0.0 0.7 0.3 - - - 50.0 0 0 - 50.0 50.0
Brock Card - 8 2.8 0.5 0.8 0.1 0.0 0.0 0.1 0.8 0.5 5 0.8 44.1 33.3 0.0 0 0.75 33.3 33.3
O'Cien Valdes - 4 1.3 0.5 0.0 0.5 0.0 0.0 0.0 0.2 0.8 - - - 100.0 0 0 - 100.0 100.0
Ryan Meyer - 6 1.9 0.0 0.2 0.5 0.0 0.0 0.0 0.5 0.2 - - - 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