Wagner Seahawks
2014 Team Stats (1 games)
76.0
PPG
94.0
Opp
-18.0
Margin
40.3%
FG%
14.3%
3P%
85.7%
FT%
31.0
RPG
11.0
APG
4.0
TO
-
Est. poss./game
66.4
Adj PPG
67.9
Adj Opp PPG
#194
Scoring Rank
Model Outputs
2013-2014
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 | 1116 (#84) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1000 (#167) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1069 (#80) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.9 (#196) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +1.5 (#145) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.617 (#105) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.419 (#195) | AdjNet -2.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.418 (#195) | AdjNet -2.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.466 (#194) | AdjO 66.4 | AdjD 67.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.569 (#101) | AdjO 67.0 | AdjD 64.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.534 (#148) | 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 | 0.554 (#136) | 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 | 1044 (#139) | RD 147 | GP 30 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Latif Rivers
|
G | 23 | 28.1 | 13.5 | 2.8 | 1.9 | 0.8 | 0.3 | 1.5 | 1.7 | 16.1 | 15 | 19 | 0.8 | 1.2 | 50.0 | 41.7 | 61.5 | -3.8 | 340.1 | 56.2 |
Kenneth Ortiz
|
G | 24 | 31.3 | 13.2 | 4.4 | 4.2 | 1.6 | 0.2 | 2.5 | 1.7 | 19.3 | 102 | 20 | 5.1 | 7.0 | 31.7 | 0.0 | 73.9 | 1.3 | 309.1 | 31.7 |
Marcus Burton
|
G | 23 | 22.2 | 11.0 | 2.2 | 1.7 | 0.6 | 0.1 | 1.5 | 1.5 | 12.5 | 111 | 18 | 6.2 | 11.4 | 37.1 | 18.8 | 94.1 | 2.78 | 296.6 | 41.4 |
Mario Moody
|
F | 24 | 22.5 | 9.2 | 5.6 | 0.5 | 0.6 | 1.4 | 1.5 | 1.5 | 14.4 | 45 | 19 | 2.4 | 4.7 | 38.9 | 33.3 | 55.6 | -1.18 | 277.8 | 40.3 |
Orlando Parker
|
F | 21 | 24.7 | 7.6 | 6.3 | 0.4 | 0.8 | 0.8 | 1.0 | 0.7 | 14.3 | 78 | 19 | 4.1 | 6.8 | 28.6 | 0 | 0.0 | -0.43 | 554.0 | 28.6 |
Dwaun Anderson
|
G | 24 | 20.9 | 5.1 | 2.9 | 0.8 | 0.8 | 0.4 | 1.0 | 0.7 | 8.3 | 89 | 20 | 4.5 | 8.2 | 50.0 | 14.3 | 60.0 | -0.66 | 337.9 | 53.1 |
Naofall Folahan
|
C | 24 | 19.6 | 4.0 | 5.0 | 0.1 | 0.2 | 2.5 | 0.8 | 0.5 | 10.5 | 91 | 20 | 4.5 | 9.9 | 46.2 | 0 | 80.0 | 2.73 | 312.5 | 46.2 |
Greg Senat
|
F | 14 | 6.1 | 2.2 | 1.8 | 0.0 | 0.0 | 0.1 | 0.2 | 0.2 | 3.6 | 10 | 11 | 0.9 | 7.3 | 66.7 | 0 | 50.0 | -0.43 | 399.5 | 66.7 |
Nolan Long
|
F | 17 | 8.4 | 2.1 | 3.1 | 0.0 | 0.1 | 0.4 | 0.1 | 0.4 | 5.2 | 24 | 11 | 2.2 | 10.8 | 66.7 | 0 | 0 | 1.14 | 291.7 | 66.7 |
Hugo Naurais
|
F | 17 | 6.9 | 1.5 | 2.1 | 0.0 | 0.2 | 0.1 | 0.5 | 0.2 | 3.2 | -1 | 13 | -0.1 | -0.6 | 25.0 | 0.0 | 0 | -3.12 | 325.0 | 25.0 |
Langston Burnett
|
G | 12 | 6.7 | 1.2 | 1.0 | 0.4 | 0.2 | 0.0 | 0.5 | 0.3 | 2.0 | 23 | 12 | 1.9 | 13.4 | 25.0 | 0.0 | 0 | -0.38 | 175.0 | 25.0 |
Jay Harris
|
G | 1 | 20.0 | 1.0 | 2.0 | 4.0 | 0.0 | 0.0 | 1.0 | 2.0 | 4.0 | 63 | 13 | 4.8 | 7.3 | 0.0 | 0.0 | 50.0 | 0.35 | 17.4 | 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