Life Pacific Warriors
Model Outputs
2021-2022
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 → | 997 (#274) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -14.5 (#705) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -8.3 (#453) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.468 (#389) | AdjO 68.5 | AdjD 69.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.349 (#428) | 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 → | 0.372 (#422) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 915 (#420) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-12-11 | @ | Cal State Fullerton Titans | L | 59 - 87 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Galang
|
F | 1 | 35.0 | 19.0 | 4.0 | 4.0 | 2.0 | 0.0 | 3.0 | 0.0 | 26.0 | - | - | - | 0 | 0 | 0 | -0.6 | 0 | 0 |
P. Leal-Cruz
|
- | 1 | 39.0 | 12.0 | 6.0 | 2.0 | 6.0 | 0.0 | 5.0 | 0.0 | 21.0 | - | - | - | 0 | 0 | 0 | -0.55 | 0 | 0 |
K. Villarreal
|
F | 1 | 24.0 | 9.0 | 3.0 | 0.0 | 1.0 | 0.0 | 4.0 | 0.0 | 9.0 | - | - | - | 0 | 0 | 0 | -0.7 | 0 | 0 |
A. Vasquez
|
- | 1 | 21.0 | 7.0 | 3.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 14.0 | - | - | - | 0 | 0 | 0 | -0.48 | 0 | 0 |
M. Jensen
|
- | 1 | 21.0 | 5.0 | 3.0 | 0.0 | 2.0 | 0.0 | 2.0 | 0.0 | 8.0 | - | - | - | 0 | 0 | 0 | -0.92 | 0 | 0 |
A. Cook
|
- | 1 | 31.0 | 5.0 | 1.0 | 2.0 | 1.0 | 0.0 | 5.0 | 0.0 | 4.0 | -192 | -6.2 | -8.0 | 0 | 0 | 0 | -0.07 | 0 | 0 |
D. Anthony
|
- | 1 | 20.0 | 2.0 | 2.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 7.0 | - | - | - | 0 | 0 | 0 | -0.14 | 0 | 0 |
N. Brummett
|
- | 1 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
I. Sylvester
|
C | 1 | 3.0 | 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
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