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Benedictine College Ravens

Season: 2026
Also known as: Benedictine College Ravens
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 โ†’ 961 (#228) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 853 (#308) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 1000 (#459) HCA +56 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 926 (#643) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -12.7 (#285) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -16.4 (#631) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -18.2 (#660) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.266 (#311) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -12.1 More โ†’ 0.200 (#251) AdjNet -12.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -12.2 More โ†’ 0.194 (#251) AdjNet -12.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.3 | AdjD 79.7 More โ†’ 0.299 (#258) AdjO 70.3 | AdjD 79.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.7 | AdjD 77.2 More โ†’ 0.443 (#522) AdjO 74.7 | AdjD 77.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.2 | AdjD 75.3 More โ†’ 0.304 (#664) AdjO 66.2 | AdjD 75.3
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 โ†’ 0.330 (#556) Blend of Elo, BT, Margin, PythLog, PtsOD
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 โ†’ 0.194 (#665) 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 โ†’ 0.333 (#563) 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 โ†’ 0.210 (#667) 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 โ†’ 826 (#534) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-02-11 vs Dominican (IL) W 78 - 70
2026-02-14 vs Edgewood W 77 - 64
2026-02-18 @ Aurora L 78 - 87
2026-02-21 @ Wis. Lutheran W 81 - 80
2026-02-24 @ Aurora L 82 - 94

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Noah Mason - 3 29.1 16.7 6.0 3.3 2.0 0.3 2.3 13.7 12.3 - - - - 51.2 0.0 47.1 - 51.6 51.2
Nathan LaPlant - 3 25.5 15.0 4.0 0.3 1.3 0.7 1.0 7.7 12.7 - - - - 52.2 45.5 72.7 - 68.8 63.0
Ryan Sammons - 3 35.2 13.7 2.7 4.7 1.0 0.3 1.0 13.0 8.3 - - - - 33.3 25.0 100.0 - 46.8 38.5
Brandon McCoy - 3 30.8 13.7 1.0 0.7 0.7 0.0 0.7 9.0 6.3 - - - - 55.6 52.9 66.7 - 72.4 72.2
Connor Glasgow - 3 22.8 6.7 7.0 0.7 0.7 0.3 0.7 7.0 7.7 - - - - 33.3 33.3 75.0 - 43.9 40.5
Ryan Tucker - 3 26.5 6.3 4.0 1.0 1.0 0.0 1.0 5.3 6.0 - - - - 43.8 42.9 50.0 - 53.5 53.1
Makai Mandley - 2 5.6 5.0 0.5 0.5 0.5 0.0 0.0 3.0 3.5 - - - - 66.7 100.0 0 - 83.3 83.3
Aidan Werth - 3 16.7 2.7 2.3 0.7 0.3 0.3 1.0 5.3 0.0 - - - - 25.0 0.0 0.0 - 23.7 25.0
Hudson Parker - 3 7.0 1.3 0.3 0.3 0.0 0.0 0.0 1.0 1.0 - - - - 33.3 0.0 100.0 - 51.5 33.3
Dominick Ciegotura - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Ben Peacock - 2 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Jordan Freeman - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Ibrahim Elagha - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Pavle Magazin - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Jakeem Cole - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Charles Tierney - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Evan Hackney - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Anthony Kosi - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Casey Rosenberg - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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