🐻⬇️🏀

Anderson (IN)

Also known as: Anderson (IN)
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 → 1082 (#149) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1043 (#255) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1077 (#126) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +6.3 (#145) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +2.0 (#337) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.327 (#531) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +39.9 More → 0.996 (#80) NetEff +39.9
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -0.1 More → 0.495 (#358) NetEff -0.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.8 More → 0.393 (#414) AdjNet -3.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.1 More → 0.381 (#413) AdjNet -4.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.8 | AdjD 71.9 More → 0.428 (#418) AdjO 68.8 | AdjD 71.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.5 | AdjD 67.3 More → 0.551 (#303) AdjO 69.5 | AdjD 67.3
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 → 0.571 (#314) 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 → 0.578 (#319) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 23 More → 1067 (#228) RD 94 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Otterbein - Incomplete score
2025-11-15 @ Spalding - Incomplete score
2025-11-21 vs Albion - Incomplete score
2025-11-22 vs Principia - Incomplete score
2025-11-25 vs St. Mary's (IN) - Incomplete score
2025-11-26 @ IU Indy - Incomplete score
2025-12-03 @ Franklin - Incomplete score
2025-12-13 vs Rose-Hulman - Incomplete score
2025-12-17 vs Hanover - Incomplete score
2025-12-30 vs Illinois Col. - Incomplete score
2025-12-31 @ Concordia Chicago - Incomplete score
2026-01-10 @ Mt. St. Joseph - Incomplete score
2026-01-14 @ Manchester - Incomplete score
2026-01-17 vs Earlham - Incomplete score
2026-01-21 vs Franklin - Incomplete score
2026-01-23 @ Transylvania - Incomplete score
2026-01-28 @ Earlham - Incomplete score
2026-01-31 vs Mt. St. Joseph - Incomplete score
2026-02-04 vs Manchester - Incomplete score
2026-02-07 @ Rose-Hulman - Incomplete score

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%
Izzy Davis - 18 28.7 15.1 3.9 4.2 1.4 0.3 3.4 12.3 9.2 -52 -2.5 -13.1 43.2 33.8 73.7 1.02 53.2 48.6
Bella Larrison - 19 30.4 12.8 7.8 2.2 1.7 0.5 1.9 11.4 11.8 -15 -0.7 -3.4 43.1 35.3 67.2 0.03 50.3 47.2
Paige Williamson - 19 20.6 10.1 1.9 0.5 0.4 0.0 0.3 9.7 2.9 47 2.0 14.6 33.7 33.3 95.2 1.2 49.4 46.5
Sydney Sierota - 19 33.1 9.9 5.9 3.8 3.3 0.3 3.8 10.2 9.3 18 0.8 4.2 31.6 35.2 58.5 3.25 41.3 36.5
Victoria Detraz - 19 25.1 9.4 10.2 0.5 0.4 1.4 1.3 7.0 13.6 72 3.1 21.3 58.6 0 50.0 2.95 58.4 58.6
Lauren Smith - 17 22.2 7.2 1.6 1.5 1.1 0.5 1.6 6.9 3.5 -83 -4.0 -26.0 32.5 31.0 77.4 -2.53 46.7 41.9
Ashley Pate - 17 16.6 4.3 2.8 0.8 0.7 0.1 0.6 4.5 3.4 -15 -0.8 -5.3 33.8 31.5 57.1 -0.92 45.6 44.8
Sarah Sewak - 6 14.3 1.8 2.2 0.7 0.8 0.0 1.5 5.3 -1.3 -34 -4.2 -196.6 12.5 16.7 0 -1.99 17.2 17.2
Preslei Copper - 16 8.0 1.8 1.9 0.1 0.6 0.4 0.6 1.9 2.2 -73 -3.8 -67.8 35.5 0.0 41.2 -4.36 37.7 35.5
Kylie Hendrickson - 18 8.2 1.7 1.6 0.1 0.1 0.2 0.3 1.4 1.8 -21 -1.0 -25.2 48.0 0 54.5 1.41 50.3 48.0
Julia Hoffman - 11 4.0 1.7 0.5 0.5 0.1 0.0 0.7 1.0 1.1 -8 -0.7 -18.4 63.6 66.7 50.0 -1.9 80.0 81.8
Taylor Custer - 13 4.8 1.2 0.5 0.1 0.3 0.0 0.4 1.4 0.2 -10 -0.7 -20.7 27.8 23.1 100.0 -2.1 39.7 36.1
Miranda Wozniak - 8 2.7 1.0 0.1 0.1 0.2 0.0 0.0 0.9 0.6 -15 -1.5 -58.0 28.6 0.0 50.0 -2.94 38.0 28.6
Katie Shiets - 11 1.9 0.6 0.4 0.0 0.0 0.0 0.3 0.4 0.4 -13 -1.2 -56.4 50.0 66.7 50.0 -1.33 71.7 75.0
Maddy Bruce - 6 4.9 0.3 0.7 0.5 0.2 0.3 1.5 0.2 0.3 -31 -5.2 -77.1 0.0 0.0 100.0 -1.27 53.2 0.0
Emma Ball - 5 1.9 0.0 0.6 0.0 0.0 0.0 0.0 1.0 -0.4 -3 -0.5 -22.2 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