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Concordia Chicago

Also known as: Concordia Chicago
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 → 873 (#564) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 828 (#565) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 800 (#754) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -17.0 (#342) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -25.0 (#727) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.393 (#532) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -13.5 More → 0.188 (#49) NetEff -13.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.4 More → 0.231 (#502) AdjNet -10.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.6 More → 0.225 (#503) AdjNet -10.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.1 | AdjD 80.2 More → 0.324 (#507) AdjO 72.1 | AdjD 80.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.6 | AdjD 81.1 More → 0.182 (#750) AdjO 64.6 | AdjD 81.1
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 → 0.120 (#730) 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 → 0.122 (#735) 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 21 More → 722 (#600) RD 98 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Greenville L 90 - 94
2025-11-12 @ Millikin L 62 - 76
2025-11-21 vs George Fox W 78 - 66
2025-11-22 @ Pacific (OR) L 76 - 81
2025-11-29 @ Alma L 67 - 89
2025-12-03 vs Edgewood W 63 - 56
2025-12-06 @ Rockford W 57 - 54
2025-12-10 @ Dominican (IL) W 72 - 61
2025-12-14 vs Adrian L 81 - 92
2025-12-17 vs Aurora L 73 - 78
2025-12-30 @ North Park L 83 - 98
2026-01-03 vs Wis. Lutheran W 85 - 84
2026-01-07 vs Rockford L 52 - 65
2026-01-10 @ MSOE L 68 - 99
2026-01-14 vs Illinois Tech L 77 - 79
2026-01-17 vs Lakeland W 70 - 67
2026-01-21 @ Aurora L 79 - 101
2026-01-24 @ St. Norbert L 61 - 85
2026-01-28 @ Concordia Wisconsin L 82 - 107
2026-02-04 vs Benedictine (IL) L 65 - 79
2026-02-07 @ Wis. Lutheran L 54 - 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Darrian Williams - 21 28.1 11.7 3.4 2.3 1.5 0.4 2.2 10.0 7.2 -139 -6.3 -36.6 41.1 39.8 77.8 -1.59 53.8 50.5
Tallis Lowery - 13 27.0 10.5 3.3 3.7 0.7 0.2 3.0 7.8 7.5 4 0.3 6.9 44.1 50.0 88.2 2.7 55.0 45.1
Aaron Brown - 21 21.8 10.4 5.9 0.7 0.3 0.1 1.6 9.0 6.9 -127 -6.3 -40.9 45.5 25.9 51.9 -0.82 49.1 47.4
Vic Garrett - 11 18.4 9.4 6.8 0.3 1.0 1.2 1.0 7.1 10.5 -30 -2.7 -45.7 53.8 20.0 50.0 -2.38 54.9 54.5
Ryker Johnson - 21 22.4 6.1 4.6 1.6 0.9 0.4 2.4 5.0 6.1 7 0.3 2.6 43.4 37.9 65.8 -1.03 52.2 48.6
Sebastian Hill - 18 11.0 5.6 1.1 0.7 0.4 0.1 0.7 5.7 1.3 -13 -0.7 -23.7 33.0 28.1 83.3 -0.8 45.5 41.7
Jacob Robinson - 18 10.1 5.6 0.8 0.9 0.3 0.1 0.8 4.9 1.9 -82 -4.6 -36.2 38.2 31.0 87.0 -1.63 50.9 45.5
Honore Yangoua - 21 16.7 5.1 3.7 1.3 1.1 0.3 1.4 5.4 4.7 -80 -3.8 -27.6 32.7 24.0 79.4 0.24 41.8 35.4
Jaydon Watts - 3 3.9 4.0 0.3 0.3 0.0 0.0 0.7 2.7 1.3 -3 -0.8 -22.8 62.5 0.0 100.0 0.64 67.6 62.5
Matthew Guthrie - 21 13.9 3.5 2.7 0.4 0.4 0.7 0.9 3.4 3.4 -79 -3.8 -37.6 40.3 0 53.3 -2.03 43.4 40.3
AJ Willard - 21 16.5 3.3 1.5 1.0 1.2 0.1 0.7 3.8 2.7 -132 -6.3 -51.1 35.4 19.4 44.4 -2.9 40.3 39.2
Kenton Pryor - 21 11.7 3.1 2.6 0.7 0.5 0.1 0.7 2.6 3.9 -176 -8.0 -105.3 43.6 0.0 52.9 -6.79 47.2 43.6
Andreas Louloudis - 20 9.4 2.6 1.6 0.6 0.8 0.1 0.6 3.0 2.1 -81 -4.0 -65.2 26.2 25.0 71.4 -2.23 38.7 34.4
Tommy Zimmer - 19 7.4 2.1 1.6 0.4 0.3 0.2 0.4 1.9 2.3 42 2.2 112.1 45.9 0.0 54.5 0.17 47.8 45.9
Nathan Nano - 6 2.1 1.8 0.0 0.0 0.2 0.0 0.5 0.8 0.7 2 0.4 18.9 80.0 100.0 50.0 0.34 81.4 90.0
Carter Privatt - 11 9.4 1.5 1.5 0.7 0.4 0.0 0.6 2.4 1.2 -48 -4.4 -85.5 15.4 0.0 81.8 -1.04 27.6 15.4
Carson Knoll - 7 4.2 0.7 0.6 0.1 0.3 0.0 0.4 1.3 0.0 -12 -1.7 -49.2 22.2 16.7 0 -0.28 27.8 27.8
Luca Bade - 7 3.2 0.6 0.7 0.0 0.1 0.0 0.1 0.4 0.9 -3 -0.4 -10.3 66.7 0 0 -0.13 66.7 66.7
Sam Hillmann - 8 2.3 0.2 0.4 0.0 0.0 0.0 0.4 0.4 -0.1 3 0.4 15.7 33.3 0.0 0 0.04 33.3 33.3
Caleb Tyus - 3 2.1 0.0 0.3 0.0 0.0 0.0 0.0 0.0 0.3 - - - 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