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Redlands Bulldogs

Also known as: Redlands Bulldogs
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.

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 → 1164 (#50) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1237 (#27) -
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 +2.3 More → +14.8 (#8) HCA +2.3
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 104 | GP 21 More → 1296 (#19) RD 104 | GP 21

2025 Schedule & Results

Date Vs/At Opponent Result Score
2024-11-15 vs Schreiner W 116 - 100
2024-11-22 vs George Fox W 105 - 97
2024-11-23 @ Pacific (OR) L 83 - 89
2024-11-26 @ Linfield W 90 - 73
2024-11-29 @ Lewis & Clark W 72 - 66
2024-12-04 vs Caltech W 118 - 37
2024-12-07 @ Cal Lutheran L 71 - 73
2024-12-16 @ Pomona-Pitzer W 73 - 71
2024-12-18 vs UC Santa Cruz W 91 - 85
2024-12-27 vs Hardin-Simmons W 97 - 89
2024-12-29 vs Mount Union W 91 - 69
2024-12-30 @ SUNY New Paltz W 78 - 66
2025-01-08 vs La Verne W 88 - 84
2025-01-15 @ Claremont-M-S L 97 - 99
2025-01-18 vs Whittier W 87 - 74
2025-01-20 vs Pomona-Pitzer W 94 - 67
2025-01-22 @ Chapman W 80 - 62
2025-01-25 @ Occidental W 87 - 75
2025-01-29 @ Caltech W 104 - 52
2025-02-05 vs Claremont-M-S W 70 - 65
2025-02-08 vs Cal Lutheran W 77 - 65
2025-02-12 @ La Verne W 86 - 78
2025-02-15 vs Occidental W 69 - 67
2025-02-19 vs Chapman W 97 - 73
2025-02-22 @ Whittier W 83 - 79
2025-02-28 vs Claremont-M-S L 87 - 89
2025-03-07 @ St. Joseph's (ME) W 89 - 79
2025-03-08 @ Tufts W 95 - 93
2025-03-14 @ Hampden-Sydney W 83 - 72
2025-03-15 @ NYU L 65 - 75

2025 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%
Omari Ferguson - 30 21.3 13.4 4.0 2.5 2.3 0.1 2.6 9.2 10.6 116 3.6 17.5 52.5 44.4 72.9 1.42 60.2 55.4
Chozen Amadi - 25 25.3 12.4 3.0 1.7 1.6 0.0 1.8 11.8 5.2 201 6.1 27.0 36.5 30.5 72.4 1.44 48.4 45.4
Lucas Gordon - 29 22.8 12.0 9.1 0.7 1.1 1.2 1.1 8.1 14.8 204 6.8 29.2 58.5 24.4 70.9 2.19 63.5 60.8
Kendrick Currey - 23 25.8 11.1 3.6 4.8 1.3 0.4 2.4 10.0 8.9 181 9.1 23.7 43.2 0.0 74.4 0.77 48.6 43.2
Jake Hlywiak - 30 25.1 9.4 3.1 1.3 1.1 0.2 0.7 7.6 6.8 214 7.1 27.2 44.1 38.7 88.9 0.46 59.7 58.3
Jhace Boston - 30 17.9 7.5 4.5 1.5 1.5 1.2 2.0 5.7 8.6 150 7.1 19.6 46.8 23.1 70.6 1.39 54.2 48.5
Dayvon Gates - 30 18.8 7.4 3.5 1.7 1.0 0.0 1.5 5.4 6.9 38 1.9 7.0 44.1 25.0 68.1 0.77 52.9 45.3
Donovan Ware - 28 16.8 6.7 2.3 0.7 0.7 0.2 0.5 5.8 4.2 85 3.5 20.2 39.9 37.1 80.0 1.33 55.9 54.9
Nathan Mattera - 30 10.4 3.8 1.2 0.3 0.8 0.2 0.3 3.6 2.3 41 3.2 26.5 40.2 33.8 0 0.27 52.8 52.8
Thomas Hastings - 14 13.0 3.6 2.0 0.9 1.1 0.3 0.5 3.5 3.9 80 20.0 63.1 32.7 25.0 55.6 0.04 41.1 35.7
Nathaniel Johnson - 20 6.3 1.4 2.0 0.1 0.3 0.1 0.6 0.9 2.5 -25 -3.1 -34.4 52.6 0 66.7 -0.26 57.7 52.6
Logan Dorsey - 20 4.0 1.1 0.7 0.2 0.5 0.0 0.1 1.1 1.2 -26 -2.9 -118.0 45.5 0.0 66.7 -0.69 47.2 45.5
Evan Lucas - 23 2.5 1.1 0.1 0.2 0.2 0.0 0.1 1.3 0.3 -26 -3.2 -167.3 34.5 26.1 0 -0.82 44.8 44.8
Christopher Carter - 12 2.1 0.8 0.4 0.2 0.1 0.0 0.2 0.3 0.8 -6 -3.0 -276.9 75.0 0 50.0 -1.49 67.8 75.0
BJ Taylor - 14 2.6 0.6 0.3 0.1 0.1 0.0 0.4 0.5 0.1 -9 -1.8 -8.7 14.3 25.0 71.4 -0.11 39.7 21.4
Yah Humphrey - 19 1.5 0.4 0.1 0.1 0.2 0.0 0.1 0.5 0.1 -30 -5.0 -276.9 40.0 0.0 0 -0.96 40.0 40.0
Cam Brown - 4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -3 -0.8 -27.7 0 0 0 -1.36 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