🐻⬇️🏀

Stanton

Season: 2026 2025 2024
Also known as: Stanton
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 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
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 956 (#592) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -18.4 (#663) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.033 (#772) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -24.0 More → 0.059 (#685) AdjNet -24.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -23.9 More → 0.057 (#683) AdjNet -23.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.7 | AdjD 82.4 More → 0.167 (#683) AdjO 64.7 | AdjD 82.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.9 | AdjD 78.0 More → 0.409 (#568) AdjO 73.9 | AdjD 78.0
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 → 0.298 (#573) 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 → 0.306 (#582) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 225 | GP 1 More → 906 (#473) RD 225 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-11 @ Occidental L 67 - 83
2023-11-16 @ Pomona-Pitzer L 55 - 82
2023-12-07 @ Chapman L 59 - 88

2024 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%
Joe Cookson - 1 31.0 21.0 10.0 6.0 5.0 0.0 4.0 12.0 26.0 -42 -8.4 -56.4 58.3 50.0 85.7 0.05 69.6 62.5
McKelary Robertson - 1 20.0 20.0 3.0 1.0 1.0 0.0 0.0 12.0 13.0 -4 -0.7 -6.5 50.0 60.0 83.3 -0.48 68.3 62.5
Pete Boyle - 1 22.0 18.0 5.0 0.0 0.0 0.0 1.0 12.0 10.0 -9 -1.8 -16.5 58.3 57.1 0 -0.01 75.0 75.0
Blakeley Stoughton - 1 20.0 17.0 2.0 1.0 0.0 0.0 0.0 9.0 11.0 11 1.6 14.0 77.8 60.0 0.0 0.22 86.0 94.4
Ty Bergman - 1 30.0 16.0 8.0 2.0 1.0 1.0 0.0 11.0 17.0 -28 -5.6 -33.1 63.6 0.0 40.0 0.14 60.6 63.6
Jake Heberle - 1 19.0 15.0 1.0 3.0 0.0 0.0 0.0 6.0 13.0 34 2.0 37.3 66.7 75.0 100.0 0.29 96.6 91.7
Jasper Hedin - 1 24.0 13.0 5.0 2.0 1.0 0.0 0.0 8.0 13.0 -17 -17.0 -24.0 62.5 50.0 66.7 0.05 69.7 68.8
Murphy Caffo - 1 14.0 8.0 6.0 2.0 0.0 0.0 2.0 3.0 11.0 39 4.3 299.0 100.0 0 50.0 -0.71 84.0 100.0
Owen Avdalovic - 1 23.0 6.0 4.0 0.0 0.0 0.0 1.0 5.0 4.0 -13 -3.2 -34.6 60.0 0 0.0 -0.14 51.0 60.0
Adam Damian - 1 20.0 6.0 5.0 3.0 0.0 2.0 2.0 4.0 10.0 - - - 25.0 25.0 75.0 - 52.1 37.5
Kyle Lewis - 1 15.0 6.0 6.0 1.0 0.0 0.0 0.0 4.0 9.0 -16 -2.7 -7.2 50.0 100.0 50.0 0.95 61.5 62.5
Charlie Treene - 1 23.0 4.0 3.0 2.0 0.0 0.0 0.0 3.0 6.0 -101 -7.2 -207.7 33.3 0.0 100.0 -0.03 51.5 33.3
Cruz Billings - 1 18.0 4.0 0.0 6.0 1.0 0.0 1.0 3.0 7.0 15 0.8 25.1 33.3 0.0 100.0 -0.48 51.5 33.3
Peyton Mullarkey - 1 31.0 3.0 1.0 6.0 3.0 0.0 3.0 10.0 0.0 -11 -2.2 -14.9 10.0 16.7 0 0.23 15.0 15.0
Tyler Dutto - 1 17.0 3.0 4.0 3.0 4.0 0.0 0.0 3.0 11.0 -21 -2.6 -50.0 33.3 0 33.3 -0.14 34.7 33.3
Selden Pickens - 1 6.0 3.0 2.0 0.0 0.0 0.0 0.0 3.0 2.0 - - - 33.3 0.0 50.0 - 38.7 33.3
Connor Stechschulte - 1 13.0 3.0 2.0 0.0 0.0 0.0 0.0 3.0 2.0 - - - 33.3 50.0 0.0 - 43.6 50.0
Alex Kim - 1 8.0 2.0 0.0 0.0 0.0 0.0 1.0 2.0 -1.0 94 6.7 38.7 50.0 0 0 0.23 50.0 50.0
Connor Fitzgerald - 1 2.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 - - - 0 0 50.0 - 56.8 0
Scott Schulz - 1 8.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 -1.0 - - - 0.0 0 50.0 - 26.6 0.0
Cooper Bladow - 1 5.0 0.0 1.0 0.0 0.0 0.0 1.0 2.0 -2.0 38 3.2 321.1 0.0 0.0 0 -0.73 0.0 0.0
Achilles Daniels-Condon - 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Kyle Jasper - 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 Moser - 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0.0 0.0 0 0 0 -0.08 0 0
Abhi Namala - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Carlo Billings - 1 5.0 0.0 1.0 0.0 1.0 0.0 0.0 0.0 2.0 15 0.8 25.1 0 0 0.0 -0.48 0.0 0
Christian Bood - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Landon Gregg - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Andrew Ingalls - 1 7.0 0.0 1.0 0.0 1.0 0.0 1.0 0.0 1.0 -15 -2.1 -23.3 0 0 0 0.08 0 0
Sean McCarthy - 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Max Morelli - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Nick Saccacio - 1 2.0 0.0 2.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - 0.0 0 0.0 - 0.0 0.0
Nygle Williams - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5 2.5 70.6 0 0 0 -1.01 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