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Menlo College Oaks

Season: 2026 2025 2024 2022 2016 2013 2012 2010 2008
Also known as: Menlo Oaks
Program History

2025 Team Stats (2 games)

68.0
PPG
89.5
Opp
-21.5
Margin
38.5%
FG%
26.4%
3P%
54.5%
FT%
31.5
RPG
13.5
APG
11.5
TO
87.8
Pace

Model Outputs

2021-2022 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
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 994 (#390) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -0.6 (#503) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → -6.2 (#428) HCA +2.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.8 | AdjD 68.9 More → 0.476 (#348) AdjO 67.8 | AdjD 68.9
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 → 0.371 (#409) 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 → 0.385 (#407) 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 → 913 (#423) RD 350 | GP 1

2025 Schedule & Results

Date Vs/At Opponent Result Score
2024-11-10 @ Cal Poly Mustangs L 66 - 99
2024-11-12 @ UC Davis Aggies L 70 - 80

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%
Landon Seaman Landon Seaman - 2 31.0 16.5 4.0 2.5 1.0 0.0 3.0 18.5 2.5 - - - 43.2 0.0 14.3 - 41.2 43.2
P. Le Gassick P. Le Gassick - 2 33.0 14.0 3.0 3.5 2.0 0.0 1.5 15.0 6.0 - - - 33.3 18.8 62.5 - 41.8 38.3
N. Davidson N. Davidson - 2 31.0 10.0 2.5 2.0 2.0 0.0 2.0 10.0 4.5 128 3.9 4.8 35.0 30.0 75.0 1.54 46.0 42.5
N. High N. High - 2 25.0 8.0 3.5 1.5 2.5 0.5 1.5 6.5 8.0 - - - 46.2 57.1 0 - 61.5 61.5
Q. Thompson Q. Thompson - 2 16.0 5.5 3.5 1.0 0.5 0.5 0.5 7.0 3.5 - - - 35.7 0.0 100.0 - 38.1 35.7
J. Alcantara J. Alcantara - 2 21.0 5.0 3.5 1.0 0.5 0.5 0.5 2.5 7.5 - - - 80.0 0 100.0 - 85.0 80.0
K. Rowe K. Rowe - 2 19.5 4.5 1.5 0.5 0.5 0.0 0.5 4.5 2.0 - - - 44.4 20.0 0 - 50.0 50.0
A. Ito A. Ito - 2 11.0 3.0 1.0 0.5 0.0 0.0 0.0 4.0 0.5 - - - 25.0 28.6 0 - 37.5 37.5
S. Arikat S. Arikat - 2 8.0 1.5 0.5 1.0 0.0 0.5 0.5 2.5 0.5 - - - 20.0 33.3 0 - 30.0 30.0
E. Blackwell III E. Blackwell III - 1 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 -2.0 -39 -1.4 -2.0 0.0 0.0 0 -0.25 0.0 0.0
G. Cox G. Cox - 2 3.0 0.0 2.5 0.0 0.0 0.0 0.0 0.5 2.0 - - - 0.0 0 0 - 0.0 0.0
I. Johnson I. Johnson - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 131 5.7 11.8 0 0 0 1.33 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