Point Loma Sea Lions
2013 Team Stats (1 games)
49.0
PPG
76.0
Opp
-27.0
Margin
36.7%
FG%
50.0%
3P%
62.5%
FT%
25.0
RPG
10.0
APG
17.0
TO
69.5
Pace
Model Outputs
2012-2013
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 → | 952 (#674) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 965 (#646) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 996 (#305) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.3 (#353) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.8 (#371) | HCA +3.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.475 (#331) | AdjO 64.5 | AdjD 65.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.425 (#339) | 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 → | 0.429 (#332) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 958 (#245) | RD 350 | GP 1 |
2013 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2012-12-18 | @ | San Diego State Aztecs | L | 49 - 76 |
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Wetherell
|
G | 1 | 25.0 | 10.0 | 3.0 | 4.0 | 1.0 | 0.0 | 2.0 | 5.0 | 11.0 | -88 | -12.6 | -20.0 | 60.0 | 100.0 | 50.0 | -1.17 | 85.0 | 90.0 |
T. Campbell
|
F | 1 | 22.0 | 6.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 4.0 | 2.0 | -54 | -7.7 | -11.4 | 50.0 | 0 | 66.7 | -0.06 | 56.4 | 50.0 |
O. Lundestad
|
F | 1 | 21.0 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | 1.0 | -53 | -7.6 | -15.7 | 50.0 | 100.0 | 0 | -0.55 | 62.5 | 62.5 |
J. Welfringer
|
G | 1 | 21.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 1.0 | 7.0 | -5.0 | - | - | - | 0.0 | 0.0 | 0 | -0.13 | 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