Wagner Seahawks
2013 Team Stats (2 games)
47.5
PPG
62.0
Opp
-14.5
Margin
31.3%
FG%
26.9%
3P%
59.1%
FT%
38.0
RPG
7.5
APG
24.0
TO
-
Est. poss./game
63.6
Adj PPG
65.0
Adj Opp PPG
#192
Scoring Rank
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 โ | 1036 (#145) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1055 (#132) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1054 (#94) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.7 (#197) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -1.0 (#181) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.577 (#126) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.419 (#195) | AdjNet -2.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.416 (#195) | AdjNet -2.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.469 (#192) | AdjO 63.6 | AdjD 65.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.529 (#139) | AdjO 68.0 | AdjD 66.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.511 (#164) | 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 โ | 0.523 (#158) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1056 (#124) | RD 146 | GP 31 |
2013 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonathon Williams
|
F | 27 | 30.4 | 15.6 | 6.4 | 1.0 | 1.1 | 0.4 | 2.5 | 1.1 | 20.9 | -33 | 19 | -1.7 | -2.5 | 48.4 | 33.3 | 82.4 | -0.91 | 548.3 | 50.0 |
Latif Rivers
|
G | 20 | 29.2 | 13.0 | 2.6 | 1.6 | 0.8 | 0.1 | 2.0 | 0.2 | 15.9 | 2 | 14 | 0.1 | 0.2 | 20.0 | 33.3 | 0 | -0.51 | 2600.0 | 30.0 |
Kenneth Ortiz
|
G | 31 | 33.9 | 11.8 | 4.3 | 5.4 | 2.0 | 0.1 | 3.9 | 0.8 | 19.0 | -14 | 23 | -0.6 | -0.8 | 36.0 | 0.0 | 50.0 | -0.38 | 606.0 | 36.0 |
Marcus Burton
|
G | 25 | 23.9 | 8.6 | 1.9 | 2.2 | 1.2 | 0.2 | 1.1 | 1.0 | 12.0 | -7 | 19 | -0.4 | -0.6 | 32.0 | 36.4 | 60.0 | 1.14 | 397.1 | 40.0 |
Mario Moody
|
F | 30 | 16.8 | 6.9 | 5.3 | 0.4 | 1.0 | 1.3 | 1.0 | 0.3 | 13.6 | 0 | 23 | 0.0 | 0.0 | 50.0 | 0 | 57.1 | -0.81 | 934.1 | 50.0 |
Eric Fanning
|
G | 22 | 16.7 | 6.4 | 2.9 | 0.4 | 0.5 | 0.1 | 1.5 | 0.3 | 8.5 | 43 | 17 | 2.5 | 6.7 | 28.6 | 25.0 | 57.1 | 2.88 | 699.4 | 35.7 |
Orlando Parker
|
F | 31 | 20.9 | 5.5 | 4.3 | 0.5 | 0.8 | 0.7 | 0.8 | 0.4 | 10.7 | 3 | 23 | 0.1 | 0.3 | 33.3 | 0 | 69.2 | 0.11 | 485.3 | 33.3 |
Dwaun Anderson
|
G | 31 | 15.5 | 4.2 | 2.5 | 0.5 | 0.6 | 0.5 | 1.7 | 0.5 | 6.1 | -71 | 23 | -3.1 | -9.0 | 11.8 | 10.0 | 0.0 | -4.54 | 366.3 | 14.7 |
Josh Thompson
|
F | 30 | 24.1 | 3.7 | 2.9 | 1.3 | 0.9 | 0.5 | 1.4 | 0.1 | 7.8 | 8 | 22 | 0.4 | 0.7 | 0.0 | 0.0 | 0 | -1.2 | 1375.0 | 0.0 |
Naofall Folahan
|
C | 29 | 14.6 | 3.0 | 3.3 | 0.0 | 0.0 | 1.5 | 0.8 | 0.2 | 6.9 | -23 | 22 | -1.0 | -2.9 | 33.3 | 0 | 50.0 | -1.89 | 625.0 | 33.3 |
Hugo Naurais
|
F | 14 | 4.8 | 0.9 | 1.0 | 0.2 | 0.3 | 0.2 | 0.4 | 0.1 | 2.1 | -4 | 11 | -0.4 | -3.5 | 0.0 | 0 | 0 | -0.71 | 300.0 | 0.0 |
Langston Burnett
|
G | 18 | 4.6 | 0.7 | 0.6 | 0.2 | 0.1 | 0.0 | 0.2 | 0.1 | 1.3 | -24 | 14 | -1.7 | -14.0 | 0.0 | 0 | 0 | -3.05 | 600.0 | 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