Albany
2014 Team Stats (3 games)
65.0
PPG
63.7
Opp
+1.3
Margin
46.7%
FG%
33.3%
3P%
84.6%
FT%
33.7
RPG
10.3
APG
11.3
TO
-
Est. poss./game
63.9
Adj PPG
64.7
Adj Opp PPG
#185
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 | 1090 (#106) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1000 (#168) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1081 (#61) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.2 (#188) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +3.4 (#123) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.584 (#122) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.404 (#199) | AdjNet -3.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.402 (#199) | AdjNet -3.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.481 (#185) | AdjO 63.9 | AdjD 64.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.592 (#78) | AdjO 66.5 | AdjD 62.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.534 (#150) | 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 | 0.556 (#134) | 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 | 1019 (#155) | RD 113 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Peter Hooley
|
G | 26 | 35.3 | 15.2 | 2.6 | 2.4 | 0.9 | 0.0 | 1.9 | 3.3 | 15.8 | 152 | 33 | 4.6 | 5.8 | 28.2 | 27.0 | 88.6 | 4.26 | 188.8 | 34.1 |
DJ Evans
|
G | 26 | 32.8 | 11.7 | 3.7 | 2.5 | 1.3 | 0.0 | 1.8 | 3.3 | 14.3 | 133 | 33 | 4.0 | 5.3 | 43.5 | 40.6 | 87.5 | 1.58 | 159.1 | 51.2 |
Sam Rowley
|
F | 26 | 29.6 | 11.6 | 6.9 | 2.0 | 1.2 | 0.7 | 3.0 | 2.8 | 16.7 | 156 | 33 | 4.7 | 7.3 | 54.8 | 0 | 66.7 | 2.07 | 192.9 | 54.8 |
Gary Johnson
|
F | 25 | 29.9 | 10.3 | 5.2 | 1.3 | 0.6 | 0.3 | 1.7 | 1.9 | 14.2 | 94 | 31 | 3.0 | 4.5 | 51.1 | 100.0 | 78.6 | -2.61 | 241.7 | 52.1 |
John Puk
|
C | 26 | 28.8 | 6.8 | 4.2 | 0.6 | 0.4 | 1.4 | 1.3 | 1.8 | 10.2 | 77 | 33 | 2.3 | 3.6 | 58.3 | 0 | 100.0 | -1.88 | 170.8 | 58.3 |
Dallas Ennema
|
F | 18 | 11.7 | 3.2 | 2.0 | 0.6 | 0.3 | 0.1 | 0.7 | 0.3 | 5.2 | 56 | 23 | 2.4 | 8.8 | 0.0 | 0.0 | 100.0 | 0.3 | 484.7 | 0.0 |
Anders Haas
|
G | 16 | 6.4 | 2.7 | 0.4 | 0.3 | 0.0 | 0.0 | 0.3 | 0.5 | 2.6 | 13 | 20 | 0.7 | 4.5 | 12.5 | 14.3 | 100.0 | 0.13 | 220.3 | 18.8 |
Luke Devlin
|
F | 24 | 12.7 | 2.2 | 2.4 | 0.7 | 0.4 | 0.2 | 0.5 | 0.6 | 4.6 | -8 | 30 | -0.3 | -0.9 | 46.7 | 0 | 33.3 | -4.3 | 162.4 | 46.7 |
Dave Wiegmann
|
F | 20 | 11.9 | 1.9 | 2.3 | 0.3 | 0.1 | 0.5 | 0.7 | 0.8 | 3.7 | -47 | 26 | -1.8 | -7.0 | 40.0 | 0.0 | 71.4 | -4.73 | 102.3 | 40.0 |
Mike Rowley
|
F | 18 | 11.1 | 1.9 | 2.1 | 0.2 | 0.3 | 0.0 | 0.7 | 0.6 | 3.3 | -6 | 26 | -0.2 | -1.0 | 20.0 | 20.0 | 0 | -3.07 | 175.0 | 25.0 |
Levan Shengelia
|
F | 14 | 7.4 | 1.5 | 1.7 | 0.1 | 0.3 | 0.4 | 0.4 | 0.4 | 3.2 | - | - | - | - | 33.3 | 0 | 33.3 | - | 143.4 | 33.3 |
Anthony Odunsi
|
G | 5 | 5.0 | 1.2 | 0.4 | 0.2 | 0.2 | 0.0 | 0.4 | 0.4 | 1.2 | - | - | - | - | 50.0 | 0 | 0 | - | 150.0 | 50.0 |
Ede Egharevba
|
F | 6 | 4.2 | 1.2 | 0.7 | 0.2 | 0.0 | 0.0 | 0.7 | 0.5 | 0.8 | -22 | 12 | -1.8 | -20.4 | 66.7 | 0 | 100.0 | -4.3 | 101.7 | 66.7 |
Reece Williams
|
G | 2 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -0.5 | 0 | 5 | 0.0 | 0.0 | 0 | 0 | 0 | -0.72 | 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