🐻⬇️🏀

Loras

Also known as: Loras
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 → 1195 (#27) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1161 (#61) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1103 (#94) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +6.5 (#47) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +3.1 (#300) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.826 (#282) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.0 More → 0.760 (#251) AdjNet +10.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.8 More → 0.758 (#250) AdjNet +9.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 83.0 | AdjD 75.1 More → 0.673 (#246) AdjO 83.0 | AdjD 75.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.6 | AdjD 74.8 More → 0.650 (#146) AdjO 81.6 | AdjD 74.8
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 → 0.640 (#270) 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 → 0.646 (#267) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 93 | GP 23 More → 1163 (#93) RD 93 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs DePauw L 74 - 77
2025-11-09 vs Kalamazoo W 105 - 52
2025-11-14 @ Blackburn W 71 - 66
2025-11-16 @ Southern Ind. L 74 - 91
2025-11-22 @ North Central (IL) W 73 - 69
2025-11-29 @ Wis.-Superior W 68 - 65
2025-12-03 @ Dubuque W 84 - 69
2025-12-06 @ Simpson W 85 - 81
2025-12-13 vs Wartburg W 91 - 79
2025-12-15 @ Westminster (MO) L 79 - 84
2025-12-18 @ Monmouth (IL) W 81 - 59
2025-12-30 vs Lake Forest L 88 - 97
2025-12-31 vs Bethany Lutheran W 93 - 87
2026-01-03 vs Coe W 85 - 76
2026-01-07 @ Central (IA) W 90 - 60
2026-01-10 vs Buena Vista W 96 - 69
2026-01-14 @ Luther W 74 - 61
2026-01-17 @ Neb. Wesleyan L 74 - 82
2026-01-24 vs Simpson W 77 - 71
2026-01-28 vs Dubuque L 74 - 90
2026-01-31 @ Wartburg W 111 - 90
2026-02-04 vs Central (IA) W 89 - 66
2026-02-07 @ Coe L 74 - 78

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%
Jack Haynes - 19 27.7 15.5 9.3 1.1 1.3 0.4 1.2 10.8 15.5 97 5.4 20.6 54.6 40.0 76.2 1.22 61.4 57.1
Nolan Berendes - 23 29.7 13.1 6.6 1.3 1.1 0.5 1.2 9.7 11.6 125 5.7 26.4 46.4 39.6 80.0 1.43 61.2 58.3
Gavin Sarvis - 19 25.5 13.0 3.8 3.0 1.5 0.5 2.2 9.9 9.6 65 3.4 19.6 45.5 35.6 72.0 -0.67 55.6 51.1
Kyle Kober - 23 22.7 10.1 2.3 1.3 1.1 0.1 1.0 7.5 6.4 97 4.4 22.8 46.5 37.0 68.2 3.06 57.7 54.4
Dylan Kurt - 21 17.2 7.9 2.5 1.8 0.9 0.2 1.2 6.0 6.0 118 5.9 52.5 40.0 30.6 82.1 1.23 55.1 47.6
Emmett Loew - 12 21.1 7.2 0.8 1.8 1.2 0.1 1.2 6.8 3.1 -26 -2.4 -17.8 38.3 30.8 90.0 -1.84 50.9 48.1
Johnny Semany - 21 18.9 6.6 2.6 1.8 1.0 0.1 0.8 4.9 6.4 66 3.3 24.6 45.1 39.0 73.2 0.81 57.5 52.9
Damyen Jackson - 22 18.3 6.0 2.7 1.8 1.1 0.3 1.5 4.9 5.4 133 6.3 42.7 41.1 34.3 75.6 3.61 52.4 46.7
Brock Massey - 17 17.8 5.4 3.2 2.2 1.0 0.1 0.5 4.1 7.2 91 5.4 39.7 44.3 24.0 85.2 1.07 55.6 48.6
Deng Makeer - 21 12.3 5.3 1.8 0.4 0.5 0.6 0.7 4.5 3.4 60 3.0 30.9 41.1 38.0 53.8 -0.52 55.6 55.3
Lukas Balling - 9 8.6 2.8 1.3 0.2 0.1 0.0 0.4 2.3 1.7 -31 -3.9 -231.8 33.3 50.0 100.0 -0.66 49.2 35.7
Patrick Quarnstrom - 12 7.4 2.0 1.4 0.3 0.0 0.0 0.7 1.7 1.4 10 0.9 7.4 45.0 16.7 62.5 0.0 51.0 47.5
Patrick Coen - 15 7.2 1.9 1.7 0.2 0.3 0.1 0.3 1.5 2.3 -11 -0.8 -13.4 47.8 30.8 75.0 -1.55 58.6 56.5
Juvon Crawford - 6 2.4 1.2 0.2 0.2 0.2 0.0 0.0 0.8 0.8 -3 -0.8 -19.1 40.0 40.0 50.0 -0.45 59.5 60.0
Jim Navarrete - 7 2.3 1.1 0.4 0.0 0.0 0.3 0.1 0.9 0.9 -6 -1.2 -31.9 50.0 0 100.0 -0.89 58.1 50.0
Ethan Meyer - 7 2.2 0.9 0.4 0.0 0.1 0.0 0.0 0.4 1.0 -4 -0.8 -22.8 100.0 0 0 -0.9 100.0 100.0
Athan Berchos - 8 3.2 0.8 0.1 0.4 0.2 0.0 0.4 0.6 0.5 -2 -0.3 -5.2 20.0 20.0 100.0 -0.62 47.5 30.0
Cooper Grams - 6 2.8 0.5 0.0 0.0 0.0 0.0 0.0 0.8 -0.3 -8 -2.0 -34.8 20.0 20.0 0 -0.15 30.0 30.0
Connor Mosele - 7 7.2 0.4 0.4 1.0 0.4 0.0 0.4 1.4 0.4 -1 -0.2 -1.3 10.0 16.7 0 0.24 15.0 15.0

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