Colgate
2012-2013 Team Stats (27 games)
62.6
PPG
68.0
Opp
-5.3
Margin
41.3%
FG%
33.2%
3P%
70.5%
FT%
35.1
RPG
12.4
APG
12.6
TO
-
Est. poss./game
61.6
Adj PPG
68.0
Adj Opp PPG
#267
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 → | 749 (#295) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 861 (#272) | HCA +101 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 857 (#281) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.8 (#265) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.9 (#268) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.256 (#285) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.216 (#276) | AdjNet -11.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.211 (#278) | AdjNet -11.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.358 (#267) | AdjO 61.6 | AdjD 68.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.357 (#270) | AdjO 61.5 | AdjD 67.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.286 (#275) | 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 → | 0.286 (#276) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 848 (#277) | RD 157 | GP 32 |
| Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. More → | Legacy estimate | Earlier model estimate; no qualified current forecast. |
Rank through the season
League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.
Recency Ensemble
Log Adjusted
Elo
Points Off/Def Recency
2012-2013 Schedule & Results
2012-2013 Roster
Estimated Minutes by Position
Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.
| 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Murphy Burnatowski
|
F | 32 | 30.4 | 17.4 | 5.1 | 1.3 | 1.2 | 0.8 | 2.0 | 13.3 | 10.5 | -136 | 22 | -6.2 | -8.9 | 42.6 | 33.9 | 73.4 | -0.09 | 59.5 | 49.5 |
Pat Moore
|
G | 31 | 27.5 | 9.8 | 2.5 | 1.5 | 0.3 | 0.0 | 1.3 | 7.3 | 5.5 | -129 | 21 | -6.1 | -9.6 | 41.0 | 40.8 | 77.8 | -0.15 | 61.8 | 52.2 |
Brandon James
|
F | 26 | 18.6 | 8.1 | 5.0 | 1.0 | 0.5 | 0.2 | 1.9 | 5.9 | 7.0 | -113 | 19 | -5.9 | -14.8 | 44.4 | 30.2 | 72.1 | -2.74 | 58.4 | 50.7 |
Mitch Rolls
|
G | 32 | 28.1 | 7.2 | 1.8 | 2.8 | 0.5 | 0.1 | 1.9 | 6.2 | 4.1 | -139 | 22 | -6.3 | -9.4 | 36.0 | 32.7 | 74.3 | -0.78 | 53.4 | 45.0 |
Damon Sherman-Newsome
|
G | 32 | 21.2 | 6.1 | 2.6 | 1.2 | 0.5 | 0.2 | 1.5 | 4.8 | 4.1 | -79 | 22 | -3.6 | -7.8 | 38.7 | 29.0 | 82.5 | 0.26 | 56.2 | 44.5 |
John Brandenburg
|
C | 32 | 19.6 | 5.1 | 3.3 | 0.6 | 0.4 | 0.8 | 1.1 | 4.3 | 4.8 | -104 | 22 | -4.7 | -10.3 | 46.0 | 0 | 70.2 | -2.27 | 51.7 | 46.0 |
Luke Roh
|
G | 32 | 29.1 | 4.7 | 6.6 | 3.5 | 0.8 | 0.4 | 2.1 | 3.9 | 10.0 | -118 | 22 | -5.4 | -8.1 | 44.4 | 50.0 | 53.7 | -1.86 | 51.1 | 44.8 |
Clayton Graham
|
F | 31 | 10.2 | 2.6 | 2.4 | 0.5 | 0.1 | 0.3 | 0.5 | 1.5 | 3.7 | -50 | 22 | -2.3 | -9.6 | 56.2 | 0 | 75.0 | -1.4 | 66.3 | 56.2 |
Matt McMullen
|
F | 31 | 11.3 | 2.5 | 2.9 | 0.6 | 0.1 | 0.1 | 0.5 | 1.9 | 3.7 | -65 | 22 | -3.0 | -11.9 | 40.7 | 31.8 | 60.9 | -2.46 | 55.7 | 46.6 |
Chad Johnson
|
G | 31 | 8.3 | 1.8 | 1.1 | 0.3 | 0.3 | 0.1 | 0.6 | 1.8 | 1.2 | -69 | 22 | -3.1 | -15.9 | 42.9 | 27.3 | 0.0 | -2.21 | 48.2 | 45.5 |
Lazar Bogdanovic
|
F-C | 10 | 3.3 | 0.4 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | -3 | 5 | -0.6 | -10.3 | 66.7 | 0 | 0 | -1.34 | 66.7 | 66.7 |
Alex Ramon
|
G | 8 | 2.8 | 0.4 | 0.5 | 0.2 | 0.1 | 0.0 | 0.2 | 0.5 | 0.5 | -2 | 5 | -0.4 | -6.0 | 25.0 | 25.0 | 0 | -0.65 | 37.5 | 37.5 |
Jared Accettura
|
G | 8 | 1.2 | 0.2 | 0.4 | 0.0 | 0.1 | 0.0 | 0.1 | 0.5 | 0.1 | 2 | 4 | 0.5 | 19.5 | 25.0 | 0.0 | 0 | -0.94 | 25.0 | 25.0 |
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