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Embry-Riddle (AZ) Eagles

Season: 2026 2022
Also known as: Embry-Riddle (AZ) Eagles
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 → 1032 (#240) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1067 (#215) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1009 (#369) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +4.3 (#284) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.752 (#316) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.4 More → 0.541 (#338) AdjNet +1.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.2 More → 0.536 (#337) AdjNet +1.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.5 | AdjD 79.3 More → 0.527 (#333) AdjO 80.5 | AdjD 79.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.8 | AdjD 74.6 More → 0.528 (#342) AdjO 75.8 | AdjD 74.6
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 → 0.576 (#336) 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 → 0.559 (#351) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1089 (#196) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Lewis & Clark W 87 - 79

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%
Noah Gifft - 1 30.8 35.0 5.0 3.0 2.0 0.0 4.0 16.0 25.0 - - - 68.8 75.0 100.0 - 98.5 96.9
Jacey Canalin - 1 29.5 15.0 2.0 7.0 0.0 0.0 1.0 12.0 11.0 - - - 41.7 33.3 100.0 - 54.5 45.8
Isaiah Wong - 1 30.0 8.0 1.0 5.0 1.0 0.0 2.0 6.0 7.0 - - - 50.0 25.0 50.0 - 58.1 58.3
Ethan Macken - 1 12.0 7.0 2.0 0.0 1.0 2.0 0.0 3.0 9.0 - - - 66.7 0 50.0 - 62.1 66.7
Christian Wells - 1 10.7 6.0 1.0 1.0 0.0 0.0 0.0 3.0 5.0 24 1.1 8.9 66.7 100.0 0 0.49 100.0 100.0
Peter Dress - 1 23.0 5.0 4.0 1.0 0.0 0.0 2.0 6.0 2.0 - - - 33.3 25.0 0 - 41.7 41.7
Jake Klinger - 1 15.5 5.0 2.0 0.0 0.0 0.0 0.0 7.0 0.0 - - - 28.6 20.0 0 - 35.7 35.7
Matur Dhal - 1 13.9 4.0 2.0 0.0 0.0 0.0 1.0 2.0 3.0 - - - 100.0 0 0 - 100.0 100.0
David Teibo - 1 13.5 2.0 3.0 1.0 0.0 1.0 0.0 1.0 6.0 - - - 100.0 0 0 - 100.0 100.0
Brett Bush - 1 3.5 0.0 0.0 0.0 2.0 0.0 0.0 0.0 2.0 - - - 0 0 0 - 0 0
Conner Ivy - 1 17.6 0.0 3.0 2.0 0.0 0.0 2.0 1.0 2.0 - - - 0.0 0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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