🐻⬇️🏀

Redlands Bulldogs

Also known as: Redlands
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 → 1160 (#77) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1262 (#22) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1174 (#32) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +12.5 (#77) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +10.4 (#226) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.863 (#262) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.0 More → 0.817 (#226) AdjNet +13.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +12.8 More → 0.817 (#226) AdjNet +12.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 89.1 | AdjD 78.2 More → 0.728 (#212) AdjO 89.1 | AdjD 78.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 87.7 | AdjD 75.5 More → 0.751 (#63) AdjO 87.7 | AdjD 75.5
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 → 0.774 (#127) 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 → 0.779 (#100) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 22 More → 1266 (#22) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ UC Santa Cruz - Incomplete score
2025-11-08 vs Pacific Lutheran - Incomplete score
2025-11-14 vs Pacific (OR) - Incomplete score
2025-11-15 vs Schreiner - Incomplete score
2025-11-21 vs Willamette - Incomplete score
2025-11-29 @ Cal Poly - Incomplete score
2025-12-03 @ Chapman - Incomplete score
2025-12-19 vs Roanoke - Incomplete score
2025-12-20 @ Hampden-Sydney - Incomplete score
2025-12-29 vs MSOE - Incomplete score
2025-12-30 vs Mary Hardin-Baylor - Incomplete score
2026-01-03 vs Pomona-Pitzer - Incomplete score
2026-01-07 @ Caltech - Incomplete score
2026-01-10 vs Cal Lutheran - Incomplete score
2026-01-14 vs La Verne - Incomplete score
2026-01-17 @ Whittier - Incomplete score
2026-01-19 @ Pomona-Pitzer - Incomplete score
2026-01-21 vs Claremont-M-S - Incomplete score
2026-01-24 vs Occidental - Incomplete score
2026-01-28 vs Chapman - Incomplete score
2026-01-31 @ Cal Lutheran - Incomplete score
2026-02-04 @ La Verne - 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%
Lucas Gordon - 21 22.7 13.6 8.6 1.4 1.2 1.1 1.6 9.8 14.6 164 9.1 58.0 53.2 29.6 77.0 3.11 61.7 58.3
Jake Hlywiak - 20 24.6 12.8 3.0 2.0 0.9 0.1 1.0 9.4 8.6 81 4.5 26.7 45.2 38.0 79.2 -0.7 61.4 58.2
Jhace Boston - 19 22.0 12.2 5.2 2.9 1.4 1.4 2.2 9.7 11.2 110 6.9 54.9 45.4 36.4 69.6 3.35 53.9 49.7
Omari Ferguson - 21 21.1 11.3 3.1 2.1 2.2 0.2 2.6 8.1 8.2 81 4.5 30.1 52.6 18.2 65.9 0.82 57.5 53.8
Derek Sangster - 20 21.7 11.3 5.0 1.0 1.2 0.5 1.1 9.2 8.7 -1 -0.2 -0.4 48.1 39.7 62.5 -1.09 56.3 54.9
Chozen Amadi - 19 20.3 8.7 2.3 1.8 0.6 0.1 1.2 7.9 4.4 133 7.4 55.0 41.1 34.1 85.7 2.91 52.8 51.0
Cam Brown - 19 19.8 8.2 4.4 3.5 1.1 0.2 1.8 5.9 9.5 76 4.5 30.1 48.7 29.6 62.7 2.01 55.8 52.2
Donovan Ware - 21 17.8 5.1 2.1 1.0 0.8 0.1 0.3 4.3 4.5 37 2.1 18.1 41.1 37.1 88.9 -2.93 57.5 55.6
Nathan Mattera - 20 18.9 4.6 1.7 1.4 1.2 0.2 0.4 3.6 5.1 75 4.2 38.2 40.3 38.2 81.2 0.42 58.2 54.9
Logan Dorsey - 7 9.5 3.1 2.1 0.4 0.3 0.0 0.3 2.3 3.4 16 4.0 26.7 37.5 22.2 66.7 1.14 51.7 43.8
Jaiden Agbo - 10 4.5 3.0 1.1 0.1 0.5 0.0 0.7 2.1 1.9 7 0.9 126.3 38.1 16.7 68.4 0.02 51.1 40.5
Austin Unegbu - 18 6.9 2.9 1.7 0.4 0.6 0.0 0.2 3.2 2.1 67 4.5 156.1 31.0 25.0 100.0 4.05 42.0 37.1
Marcel Hayes - 2 8.7 2.0 0.0 0.0 0.0 0.0 0.5 2.0 -0.5 7 3.5 16.7 25.0 0 100.0 -2.31 41.0 25.0
Elijah Duncan - 9 3.6 1.7 0.8 0.0 0.1 0.1 0.1 1.4 1.1 5 0.6 90.2 46.2 28.6 100.0 -0.1 55.8 53.8
Yah Humphrey - 5 5.5 1.4 0.8 0.4 0.2 0.0 0.0 1.0 1.8 -5 -1.7 -113.2 60.0 50.0 0 - 70.0 70.0
Evan Lucas - 6 4.9 1.3 1.3 0.2 0.3 0.0 0.2 2.0 1.0 - - - 25.0 18.2 0 - 33.3 33.3
Christian Trusclair - 2 3.6 1.0 0.0 0.0 0.0 0.0 0.0 0.5 0.5 - - - 100.0 0 0 - 100.0 100.0

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