๐Ÿปโฌ‡๏ธ๐Ÿ€

Northern St.

Also known as: Northern St.
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†’ 901 (#215) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 945 (#207) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1093 (#79) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +7.8 (#128) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +18.1 (#74) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.290 (#254) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +54.9 More โ†’ 0.997 (#51) NetEff +54.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.5 More โ†’ 0.703 (#146) AdjNet +7.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.7 More โ†’ 0.711 (#147) AdjNet +7.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 78.5 | AdjD 72.6 More โ†’ 0.631 (#146) AdjO 78.5 | AdjD 72.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.5 | AdjD 64.9 More โ†’ 0.820 (#13) AdjO 81.5 | AdjD 64.9
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†’ 0.872 (#26) 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†’ 0.860 (#23) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 26 More โ†’ 1223 (#36) RD 98 | GP 26

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Wyoming L 75 - 99
2025-11-14 vs Okla. Baptist L 72 - 83
2025-11-15 @ Southern Nazarene L 66 - 72
2025-11-21 vs Northern Mich. L 61 - 80
2025-11-22 vs Northwest Mo. St. L 65 - 73
2025-11-26 vs Jamestown W 74 - 71
2025-11-29 @ Chadron St. L 73 - 74
2025-12-04 @ Mary W 87 - 68
2025-12-06 vs Minot St. L 79 - 91
2025-12-11 @ Minn. Duluth L 62 - 79
2025-12-13 vs Bemidji St. L 63 - 66
2025-12-18 @ MSU Moorhead W 76 - 52
2025-12-20 @ Minn.-Crookston W 86 - 67
2026-01-01 vs Black Hills St. L 70 - 77
2026-01-03 @ Jamestown W 86 - 77
2026-01-09 @ Wayne St. (NE) L 79 - 86
2026-01-10 @ Augustana (SD) W 91 - 88
2026-01-16 vs Winona St. W 84 - 80
2026-01-17 vs Concordia-St. Paul L 73 - 78
2026-01-23 @ Minnesota St. L 67 - 78
2026-01-24 @ St. Cloud St. - Incomplete score
2026-01-30 vs Sioux Falls - Incomplete score
2026-01-31 vs Southwest Minn. St. W 70 - 63
2026-02-05 vs Minn.-Crookston W 78 - 71
2026-02-07 vs MSU Moorhead W 83 - 69
2026-02-12 @ Bemidji St. L 71 - 86
2026-02-14 @ Minn. Duluth L 65 - 81
2026-02-19 vs Mary W 71 - 63
2026-02-21 @ Minot St. W 76 - 62
2026-02-25 vs MSU Moorhead L 64 - 68

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%
Joshua Book - 29 33.9 14.4 5.1 4.5 0.4 0.1 2.3 11.8 10.4 - - - - 40.4 27.9 91.7 - 53.5 46.3
James Glenn - 25 26.1 11.5 2.8 2.2 1.4 0.2 0.9 9.1 8.2 - - - - 43.4 36.8 93.1 - 59.8 57.2
Simon Akena - 25 28.6 11.4 3.7 1.2 0.3 0.1 1.1 9.1 6.4 - - - - 47.6 30.6 80.7 - 56.3 52.4
Marshawn Smith - 29 24.1 10.8 4.7 1.3 0.4 0.3 1.6 10.0 5.9 - - - - 43.4 27.0 65.4 - 50.0 48.1
Cameron Mercadel - 8 30.3 10.2 2.4 1.5 0.1 0.0 0.5 9.4 4.4 - - - - 36.0 34.9 81.2 - 50.0 46.0
Tobi Obiora - 26 26.3 7.2 7.9 1.4 0.3 1.1 1.7 5.1 11.0 - - - - 59.8 31.2 50.0 - 61.1 61.7
Ty Rogers - 27 22.5 6.7 4.0 0.9 0.5 0.2 1.3 6.1 4.8 - - - - 37.3 27.2 49.2 - 46.5 44.9
Benjamin Bowen - 29 25.7 6.4 3.4 1.2 0.7 0.1 0.8 3.9 7.2 - - - - 47.3 40.0 77.5 - 64.6 58.0
Nelson Reynolds - 27 14.0 6.0 1.1 0.8 0.3 0.0 0.2 4.9 3.1 - - - - 42.9 45.8 71.4 - 59.9 59.4
Lane Tietz - 13 3.1 1.1 0.5 0.2 0.0 0.0 0.2 1.1 0.5 - - - - 21.4 25.0 83.3 - 42.1 32.1
Braeden Vanbockern - 7 3.2 0.3 0.1 0.3 0.1 0.0 0.0 0.7 0.1 -17 5 -3.4 -36.8 20.0 0.0 0 -2.71 20.0 20.0
Jake Vliem - 8 1.3 0.2 0.1 0.0 0.0 0.0 0.0 0.1 0.2 - - - - 100.0 0 0 - 100.0 100.0
Parker Lemer - 5 1.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -1.67 0 0
Marley Baah-Yeboah - 9 1.3 0.0 0.1 0.0 0.0 0.0 0.2 0.2 -0.3 - - - - 0.0 0 0 - 0.0 0.0
Brendan Phillips - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Devon Brooke - 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