Menlo College Oaks
2024 Team Stats (1 games)
69.0
PPG
106.0
Opp
-37.0
Margin
40.7%
FG%
20.0%
3P%
81.0%
FT%
25.0
RPG
12.0
APG
14.0
TO
82.2
Pace
Model Outputs
2021-2022 latest available
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. More → | 994 (#390) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.6 (#503) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.2 (#428) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. 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. 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. 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. More → | 913 (#423) | RD 350 | GP 1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-29 | @ | Santa Clara Broncos | L | 69 - 106 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Williams
|
- | 1 | 25.0 | 13.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 13.0 | 1.0 | 4 | 0.2 | 6.1 | 38.5 | 16.7 | 100.0 | -0.24 | 46.8 | 42.3 |
B. Iuli
|
- | 1 | 29.0 | 11.0 | 5.0 | 5.0 | 1.0 | 0.0 | 4.0 | 7.0 | 11.0 | - | - | - | 42.9 | 0 | 71.4 | - | 54.6 | 42.9 |
Landon Seaman
|
- | 1 | 27.0 | 10.0 | 6.0 | 1.0 | 3.0 | 1.0 | 2.0 | 10.0 | 9.0 | - | - | - | 40.0 | 0 | 50.0 | - | 42.5 | 40.0 |
J. Alcantara
|
- | 1 | 34.0 | 8.0 | 3.0 | 2.0 | 1.0 | 0.0 | 2.0 | 5.0 | 7.0 | - | - | - | 80.0 | 0 | 0 | - | 80.0 | 80.0 |
E. Blackwell III
|
- | 1 | 12.0 | 7.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 5.0 | 3.0 | 70 | 3.0 | 17.3 | 40.0 | 33.3 | 100.0 | 0.2 | 59.5 | 50.0 |
N. High
|
- | 1 | 35.0 | 6.0 | 6.0 | 2.0 | 3.0 | 1.0 | 2.0 | 5.0 | 11.0 | - | - | - | 20.0 | 0.0 | 100.0 | - | 44.4 | 20.0 |
R. Robinson
|
- | 1 | 8.0 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | 2.0 | 14 | 1.4 | 3.4 | 50.0 | 0.0 | 100.0 | 0.25 | 61.5 | 50.0 |
S. Arikat
|
- | 1 | 16.0 | 6.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 6.0 | 1.0 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
G. Cox
|
- | 1 | 3.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
C. Baeza
|
- | 1 | 11.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 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