🐻⬇️🏀

Carthage

Also known as: Carthage
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 → 1136 (#63) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1151 (#72) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1179 (#28) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +10.4 (#18) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +5.8 (#276) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.741 (#325) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.7 More → 0.731 (#264) AdjNet +8.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.3 More → 0.725 (#265) AdjNet +8.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.1 | AdjD 72.8 More → 0.641 (#260) AdjO 79.1 | AdjD 72.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.6 | AdjD 65.5 More → 0.696 (#110) AdjO 74.6 | AdjD 65.5
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 → 0.732 (#170) 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 → 0.735 (#158) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 22 More → 1238 (#37) RD 95 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Saint Mary's (MN) W 98 - 75
2025-11-15 @ Alma W 79 - 60
2025-11-21 @ Maryville (TN) L 66 - 78
2025-11-22 vs Mary Washington L 57 - 68
2025-11-26 @ Ripon W 84 - 56
2025-12-03 vs Ill. Wesleyan L 81 - 85
2025-12-06 vs Carroll (WI) W 81 - 76
2025-12-09 vs Wis.-Platteville L 59 - 62
2025-12-13 vs Wheaton (IL) W 77 - 59
2025-12-19 vs Olivet W 92 - 82
2025-12-21 @ Edgewood W 78 - 58
2025-12-30 vs Benedictine (IL) W 100 - 60
2026-01-03 vs Elmhurst W 80 - 65
2026-01-07 @ North Central (IL) W 69 - 61
2026-01-14 vs North Park W 103 - 66
2026-01-17 @ Millikin L 74 - 77
2026-01-21 @ Elmhurst L 60 - 72
2026-01-24 vs Augustana (IL) W 75 - 61
2026-01-28 @ Ill. Wesleyan W 80 - 65
2026-01-31 @ North Park W 85 - 70
2026-02-04 vs North Central (IL) W 67 - 65
2026-02-07 vs Millikin W 62 - 59

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%
Riley Brooks - 22 28.4 17.2 4.9 1.1 0.6 0.1 1.4 12.8 9.8 69 3.5 18.8 44.7 36.8 86.4 -0.02 59.7 54.8
Ryan Johnson - 21 32.4 14.4 9.9 2.7 1.0 0.8 1.6 9.9 17.3 148 7.0 37.4 46.9 33.3 68.9 4.02 57.2 51.2
AJ Johnson - 22 30.6 13.1 4.5 2.0 1.0 0.2 1.0 11.0 8.7 173 7.9 44.4 41.3 40.3 71.7 1.97 55.1 52.9
Antuan Nesbitt - 20 27.9 9.1 3.0 2.2 0.8 0.3 1.6 7.7 6.1 98 4.9 28.2 47.4 31.9 72.4 -1.74 54.6 52.3
Chris Schlesinger - 22 21.0 7.5 3.9 2.5 0.5 0.6 0.8 5.9 8.3 101 4.6 41.4 45.0 36.2 55.4 1.02 53.4 51.6
Griffin Daun - 22 24.4 6.8 5.0 2.2 1.1 0.3 0.9 5.1 9.4 122 5.5 31.7 56.2 18.8 74.1 2.69 60.1 57.6
AJ Williams - 22 19.3 5.0 2.0 0.7 0.4 0.1 0.5 4.1 3.6 24 1.1 8.0 40.7 33.9 100.0 -1.56 56.4 52.2
Jabe Haith - 21 10.7 3.7 2.0 0.8 0.4 0.1 0.5 3.4 3.2 28 1.3 15.2 48.6 20.0 38.5 -1.0 50.2 50.7
Lazar Lazarevic - 2 1.1 1.5 1.0 0.5 0.0 0.0 0.0 0.5 2.5 - - - 100.0 100.0 0 - 150.0 150.0
Nate Montgomery - 14 5.2 1.2 0.7 0.4 0.0 0.0 0.3 0.9 1.1 14 1.1 23.2 53.8 0.0 75.0 -1.82 57.6 53.8
Mason Miller - 10 3.4 1.2 0.7 0.3 0.1 0.0 0.3 0.7 1.3 -7 -0.8 -37.8 42.9 100.0 83.3 -1.31 62.2 50.0
DJ Hampton - 4 2.3 0.8 1.0 0.0 0.2 0.0 0.2 0.2 1.5 - - - 100.0 0 50.0 - 79.8 100.0
Quentin Villa - 8 2.5 0.8 0.1 0.1 0.0 0.0 0.1 0.9 0.0 -1 -0.1 -11.7 28.6 28.6 0 -0.31 42.9 42.9
Brandale Steward - 9 5.7 0.6 0.4 0.4 0.1 0.0 0.7 1.8 -0.9 - - - 12.5 9.1 0 - 15.6 15.6
Patrick Laurich - 8 2.1 0.6 0.1 0.1 0.0 0.0 0.0 0.5 0.4 -3 -0.4 -35.0 50.0 0 50.0 -0.31 51.2 50.0
Kaden Dawson - 4 2.1 0.5 1.0 0.2 0.2 0.0 0.2 0.2 1.5 -1 -0.3 -13.5 100.0 0 0 0.01 100.0 100.0
Ethan Dabu - 4 2.0 0.0 0.0 0.2 0.0 0.0 0.2 0.5 -0.5 - - - 0.0 0.0 0 - 0.0 0.0
Jack Schager - 2 1.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Jake Harvey - 3 1.3 0.0 0.7 0.0 0.0 0.0 0.0 0.0 0.7 -3 -1.5 -57.1 0 0 0 -0.02 0 0
Jalen Brown - 2 1.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -13 -1.9 -54.6 0 0 0 -1.34 0 0
Jackson Goebel - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Hayden Hodgson - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Noah Margolis - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Dimitris Georgakopoulos - 2 1.2 0.0 0.5 0.0 0.0 0.0 0.5 0.5 -0.5 - - - 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