🐻⬇️🏀

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 → 934 (#355) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 913 (#452) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 930 (#583) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +4.9 (#137) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +1.4 (#348) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.725 (#353) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.3 More → 0.544 (#345) NetEff +1.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.4 More → 0.855 (#237) AdjNet +15.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.5 More → 0.863 (#235) AdjNet +15.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.5 | AdjD 57.9 More → 0.687 (#246) AdjO 66.5 | AdjD 57.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.8 | AdjD 58.6 More → 0.571 (#264) AdjO 61.8 | AdjD 58.6
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 → 0.488 (#390) 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 → 0.497 (#385) 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 22 More → 891 (#426) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Wis.-Platteville L 57 - 59
2025-11-11 @ Greenville W 69 - 51
2025-11-19 vs Wis.-La Crosse L 42 - 73
2025-11-21 @ Lakeland W 69 - 56
2025-11-25 vs Wis. Lutheran W 63 - 60
2025-12-03 @ Dubuque L 51 - 63
2025-12-13 vs Wartburg L 71 - 80
2025-12-16 @ North Park L 44 - 66
2025-12-17 vs Hilbert W 79 - 23
2025-12-29 @ Augustana (IL) L 52 - 54
2025-12-30 vs Wis.-Stout L 51 - 75
2026-01-10 vs Buena Vista L 70 - 73
2026-01-14 @ Luther L 58 - 62
2026-01-17 @ Neb. Wesleyan W 86 - 46
2026-01-24 vs Simpson L 59 - 73
2026-01-28 vs Dubuque W 71 - 54
2026-01-31 @ Wartburg L 43 - 60
2026-02-04 vs Central (IA) W 72 - 61
2026-02-07 @ Coe L 65 - 73

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%
Claire Wagner - 19 26.2 14.1 8.1 0.8 1.2 0.3 1.5 11.6 11.5 18 0.9 4.1 51.8 12.5 73.6 1.56 55.1 52.0
Ashtyn Kelderman - 19 29.3 11.7 4.5 1.9 1.9 1.8 1.2 9.7 11.0 -6 -0.3 -1.2 41.8 37.0 85.0 2.01 55.1 51.1
Kiah Davis - 18 25.4 8.0 3.2 2.2 1.3 0.1 2.8 8.6 3.3 19 0.9 4.8 38.1 30.0 55.0 -2.25 44.0 42.9
Kylie Rigby - 19 22.6 6.3 1.3 1.2 0.9 0.0 1.3 5.6 2.7 38 1.8 9.0 37.4 37.5 81.8 3.62 53.2 51.4
Mila Van Weelden - 19 13.9 4.4 1.6 0.7 0.8 0.1 0.9 5.4 1.3 14 0.6 7.4 24.3 12.8 69.2 -2.63 34.5 27.2
Lexi Beier - 18 24.5 4.2 2.6 2.2 0.8 0.0 2.3 5.4 2.0 30 1.5 9.5 20.4 22.4 92.0 1.2 34.9 27.0
Emma Thompson - 19 12.1 4.1 3.5 0.2 0.4 0.3 0.7 3.6 4.3 17 0.8 11.2 51.5 0 61.5 -0.57 52.9 51.5
Amelia Lavorato - 4 8.2 3.8 1.2 0.5 1.0 0.0 1.0 2.0 3.5 -29 -7.2 -605.2 62.5 57.1 33.3 0.04 80.5 87.5
Page Erickson - 15 10.6 3.3 1.6 0.4 0.4 0.4 0.9 2.9 2.4 -11 -0.6 -13.9 46.5 30.0 100.0 -1.72 55.9 53.5
Makenna Brown - 1 2.8 3.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0 -58 -2.1 -26.6 100.0 100.0 0 0.75 150.0 150.0
Emma Webb - 19 16.8 2.2 2.3 1.9 0.5 0.1 1.2 2.3 3.6 48 2.3 20.6 30.2 33.3 61.1 1.05 41.2 36.0
Macy Harnden - 16 15.1 2.2 1.8 1.0 0.3 0.0 1.2 3.2 0.9 31 1.6 9.6 23.5 15.4 61.5 4.64 31.7 27.5
McKenna Carroll - 1 6.0 2.0 2.0 0.0 1.0 0.0 0.0 2.0 3.0 -20 -1.1 -5.2 50.0 0 0 -2.19 50.0 50.0
Lexi Sabado - 10 6.8 1.7 1.4 0.9 0.9 0.0 1.2 1.8 1.9 -4 -0.4 -19.6 22.2 37.5 75.0 -1.52 39.5 30.6
Jessie Yelaska - 4 5.4 1.2 1.0 0.0 0.0 0.2 0.0 1.2 1.2 -15 -3.8 -313.0 40.0 50.0 0 0.04 50.0 50.0
Marissa Morgan - 2 3.5 1.0 0.5 0.0 0.0 0.0 0.0 1.0 0.5 54 4.2 35.8 50.0 0.0 0 0.82 50.0 50.0
Calli Grosinski - 2 4.4 1.0 1.0 1.0 1.0 0.0 0.5 1.0 2.5 - - - 50.0 0 0 - 50.0 50.0
Adriana Wrzos - 3 3.4 0.7 0.3 0.3 0.3 0.0 0.3 1.7 -0.3 -10 -2.5 -279.1 20.0 0.0 0 -0.82 20.0 20.0
Meredith Koenen - 2 2.3 0.5 1.5 0.0 0.0 0.0 0.0 0.0 2.0 -3 -1.5 -62.6 0 0 50.0 0.04 56.8 0
Raelyn Koenig - 12 5.0 0.4 0.3 0.8 0.3 0.0 0.6 0.9 0.4 -11 -0.8 -37.4 18.2 12.5 0 -1.75 22.7 22.7
Erica Danner - 1 7.3 0.0 3.0 0.0 0.0 0.0 1.0 3.0 -1.0 32 2.1 30.0 0.0 0 0 1.2 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