Bucknell
2013 Team Stats (2 games)
60.0
PPG
67.0
Opp
-7.0
Margin
39.5%
FG%
37.5%
3P%
52.6%
FT%
38.0
RPG
13.5
APG
10.5
TO
-
Est. poss./game
65.4
Adj PPG
57.3
Adj Opp PPG
#63
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 | 1255 (#52) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1245 (#31) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1134 (#22) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +8.3 (#65) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.4 (#86) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.838 (#26) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.798 (#71) | AdjNet +12.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.800 (#71) | AdjNet +12.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.678 (#63) | AdjO 65.4 | AdjD 57.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.636 (#53) | AdjO 64.1 | AdjD 58.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.738 (#60) | 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 | 0.731 (#60) | 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 | 1205 (#51) | RD 122 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mike Muscala
|
C | 34 | 31.7 | 18.7 | 11.1 | 2.3 | 0.5 | 2.4 | 1.7 | 3.7 | 29.6 | 350 | 29 | 12.1 | 16.3 | 46.5 | 0.0 | 76.4 | 7.71 | 210.6 | 46.5 |
Cameron Ayers
|
G | 34 | 31.9 | 12.4 | 4.0 | 2.0 | 0.6 | 0.1 | 1.0 | 2.6 | 15.4 | 261 | 29 | 9.0 | 12.2 | 43.3 | 39.0 | 66.7 | 1.57 | 217.4 | 52.2 |
Bryson Johnson
|
G | 34 | 32.5 | 11.1 | 2.7 | 2.3 | 0.4 | 0.1 | 1.1 | 2.3 | 13.1 | 275 | 29 | 9.5 | 12.5 | 40.3 | 39.6 | 84.2 | 1.57 | 220.2 | 52.6 |
Joe Willman
|
F | 34 | 28.9 | 10.6 | 5.9 | 1.5 | 0.6 | 0.8 | 1.3 | 2.6 | 15.4 | 201 | 29 | 6.9 | 10.2 | 52.2 | 0.0 | 73.3 | -1.43 | 185.8 | 52.2 |
Ryan Hill
|
G | 34 | 18.7 | 2.8 | 2.2 | 1.4 | 0.4 | 0.1 | 1.3 | 0.6 | 5.1 | 160 | 29 | 5.5 | 12.8 | 57.9 | 16.7 | 27.3 | 0.25 | 201.3 | 60.5 |
Ryan Frazier
|
G | 33 | 16.0 | 2.7 | 1.2 | 0.9 | 0.4 | 0.0 | 0.7 | 0.7 | 3.8 | 21 | 28 | 0.8 | 2.0 | 18.2 | 11.8 | 50.0 | -1.92 | 194.5 | 22.7 |
Steven Kaspar
|
G | 34 | 16.0 | 2.4 | 2.1 | 2.1 | 0.4 | 0.2 | 1.1 | 0.6 | 5.5 | 79 | 29 | 2.7 | 7.5 | 45.0 | 66.7 | 0.0 | -0.73 | 183.3 | 50.0 |
Brian Fitzpatrick
|
F | 33 | 8.6 | 2.2 | 1.6 | 0.2 | 0.0 | 0.2 | 0.3 | 0.8 | 3.0 | -49 | 29 | -1.7 | -9.0 | 40.7 | 0 | 66.7 | -5.6 | 123.1 | 40.7 |
Dom Hoffman
|
F | 29 | 8.4 | 2.1 | 1.6 | 0.2 | 0.1 | 0.2 | 0.3 | 0.4 | 3.6 | -6 | 26 | -0.2 | -1.2 | 58.3 | 0 | 40.0 | -3.41 | 211.3 | 58.3 |
Chris Hass
|
G | 11 | 4.3 | 1.8 | 0.8 | 0.1 | 0.1 | 0.2 | 0.2 | 0.3 | 2.5 | -15 | 9 | -1.7 | -17.1 | 33.3 | 0.0 | 0 | -1.03 | 333.3 | 33.3 |
Ben Brackney
|
G | 22 | 7.5 | 1.7 | 1.0 | 0.5 | 0.0 | 0.0 | 0.3 | 0.2 | 2.6 | 25 | 19 | 1.3 | 7.6 | 60.0 | 100.0 | 0 | -0.01 | 370.0 | 80.0 |
Cory Starkey
|
F | 7 | 4.1 | 1.6 | 1.6 | 0.0 | 0.0 | 0.3 | 0.3 | 0.1 | 3.0 | -5 | 6 | -0.8 | -10.0 | 100.0 | 0 | 0 | -0.64 | 550.0 | 100.0 |
Colin Klebon
|
F | 4 | 1.8 | 1.0 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 2.2 | - | - | - | - | 0 | 0 | 0 | -0.51 | 0 | 0 |
Joshea Singleton
|
F | 12 | 4.8 | 1.0 | 0.6 | 0.2 | 0.1 | 0.2 | 0.6 | 0.2 | 1.2 | 1 | 11 | 0.1 | 1.1 | 50.0 | 0.0 | 75.0 | -0.52 | 159.6 | 50.0 |
Matt Banas
|
- | 3 | 2.3 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | - | - | - | - | 0 | 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