๐Ÿปโฌ‡๏ธ๐Ÿ€

Wayne St. (MI)

Also known as: Wayne St. (MI)
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†’ 1045 (#134) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1101 (#102) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1044 (#137) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +10.5 (#92) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +11.5 (#140) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.624 (#113) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +29.4 More โ†’ 0.943 (#163) NetEff +29.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.3 More โ†’ 0.867 (#66) AdjNet +16.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.5 More โ†’ 0.873 (#61) AdjNet +16.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.2 | AdjD 68.7 More โ†’ 0.758 (#63) AdjO 81.2 | AdjD 68.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.1 | AdjD 68.7 More โ†’ 0.663 (#94) AdjO 76.1 | 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 โ†’ 0.737 (#111) 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†’ 0.725 (#113) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 73 | GP 44 More โ†’ 1085 (#140) RD 73 | GP 44

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Mich.-Dearborn W 101 - 66
2025-11-16 vs Ashland L 64 - 76
2025-11-22 vs Northwood W 79 - 73
2025-11-25 @ Findlay L 81 - 95
2025-12-02 @ Purdue Northwest L 58 - 77
2025-12-06 vs Ferris St. W 98 - 77
2025-12-10 @ Tiffin - Incomplete score
2025-12-13 vs Lewis L 83 - 86
2025-12-20 vs Redeemer Ancas. (CAN) W 103 - 46
2026-01-02 @ Saginaw Valley L 62 - 65
2026-01-04 @ Lake Superior St. W 77 - 71
2026-01-08 @ Grand Valley St. L 72 - 81
2026-01-10 @ Davenport W 80 - 66
2026-01-15 vs Wis.-Parkside W 82 - 78
2026-01-17 vs Roosevelt W 78 - 67
2026-01-22 @ Michigan Tech - Incomplete score
2026-01-24 @ Northern Mich. - Incomplete score
2026-01-29 vs Purdue Northwest L 60 - 73
2026-01-31 @ Ferris St. W 75 - 73
2026-02-05 vs Davenport W 77 - 68
2026-02-07 vs Grand Valley St. W 70 - 68
2026-02-12 vs Northern Mich. L 62 - 82
2026-02-14 vs Michigan Tech L 73 - 77
2026-02-19 @ Roosevelt W 92 - 85
2026-02-21 @ Wis.-Parkside L 66 - 77
2026-02-26 vs Lake Superior St. L 79 - 82
2026-02-28 vs Saginaw Valley W 85 - 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%
Jordan Briggs - 23 31.1 17.6 2.9 3.0 1.2 0.0 1.9 12.5 10.3 - - - - 43.8 32.5 86.7 - 58.7 50.9
Carlos Paul III - 16 24.7 15.1 4.2 1.2 0.4 0.1 1.4 10.4 9.2 - - - - 53.3 24.0 70.4 - 59.5 55.1
Jotham Nweke - 24 28.3 9.4 6.1 1.0 1.5 0.9 1.5 8.7 8.7 - - - - 39.7 32.4 63.2 - 49.8 48.1
Braylon Mannan - 11 20.6 9.3 3.4 0.6 0.5 0.0 1.0 6.1 6.7 - - - - 55.2 30.0 69.4 - 61.6 57.5
Devin Belle - 24 18.9 7.7 2.2 0.9 0.5 0.4 0.8 6.8 4.1 - - - - 39.9 17.7 74.1 - 48.8 43.3
JaKobie Boose - 21 15.5 6.8 2.6 1.1 0.5 0.2 1.1 4.5 5.5 - - - - 53.7 41.2 70.2 - 61.4 57.4
Jalen Jenkins - 24 23.3 5.5 2.7 2.8 1.0 0.2 1.5 4.3 6.3 - - - - 49.5 48.0 86.4 - 59.0 55.3
Adam Ayrault - 25 16.2 4.6 1.3 0.8 0.4 0.5 0.5 3.9 3.2 - - - - 41.2 33.8 72.7 - 56.0 54.6
Marshall Thorn - 25 16.0 3.8 4.6 0.6 0.5 0.3 0.8 2.7 6.3 - - - - 58.8 0.0 42.1 - 56.7 58.8
Cooper Craggs - 25 11.6 3.8 2.7 0.4 0.3 0.4 0.6 3.7 3.4 - - - - 36.6 25.6 73.9 - 46.5 42.5
Jon Brantley - 9 7.1 3.0 1.2 0.4 0.0 0.0 0.6 3.1 1.0 - - - - 32.1 40.0 75.0 - 45.4 42.9
Kelvin Tamakloe - 23 8.9 1.7 1.8 0.4 0.4 0.2 0.5 1.3 2.8 - - - - 60.0 0 50.0 - 59.7 60.0
Chris Mutebi - 11 5.3 1.5 0.5 0.2 0.3 0.0 0.2 1.2 1.2 - - - - 53.8 60.0 0 - 65.4 65.4
Bryce Esman - 8 4.3 1.4 1.2 0.6 0.0 0.6 0.0 1.1 2.8 - - - - 44.4 100.0 100.0 - 55.7 50.0
Luke Westerdale - 5 3.6 1.2 0.6 0.0 0.2 0.2 0.0 1.2 1.0 - - - - 16.7 25.0 75.0 - 38.7 25.0
Chase Kuiper - 10 4.7 0.9 1.0 0.3 0.2 0.4 0.2 0.7 1.9 - - - - 42.9 0.0 60.0 - 48.9 42.9
Eli Lohr - 5 2.4 0.6 0.6 0.6 0.0 0.0 0.0 1.2 0.6 - - - - 16.7 25.0 0 - 25.0 25.0

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