Valparaiso Beacons
2013 Team Stats (5 games)
60.0
PPG
62.3
Opp
+8.9
Margin
43.6%
FG%
36.9%
3P%
62.0%
FT%
28.8
RPG
12.4
APG
15.2
TO
70.4
Pace
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 → | 1253 (#195) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1260 (#172) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1136 (#30) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.6 (#173) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.2 (#74) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.671 (#59) | NetEff +5.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.681 (#39) | AdjO 70.6 | AdjD 62.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.855 (#59) | 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 → | 0.839 (#51) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1268 (#33) | RD 116 | GP 34 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Broekhoff
|
F | 33 | 32.2 | 15.7 | 7.3 | 2.3 | 1.0 | 0.8 | 1.9 | 2.4 | 22.7 | - | - | - | 34.2 | 24.5 | 93.9 | 1.79 | 276.4 | 41.8 |
K. Van Wijk
|
F | 34 | 23.0 | 12.4 | 5.5 | 0.6 | 0.6 | 0.6 | 2.1 | 1.4 | 16.3 | 141 | 4.1 | 8.3 | 47.8 | 0.0 | 68.3 | 0.79 | 327.9 | 47.8 |
L. Dority
|
G | 25 | 21.3 | 8.6 | 1.2 | 1.9 | 0.7 | 0.1 | 2.1 | 0.9 | 9.5 | 81 | 3.2 | 5.5 | 34.8 | 27.3 | 54.5 | 0.13 | 386.1 | 41.3 |
M. Kenney
|
G | 33 | 25.2 | 8.3 | 3.1 | 3.0 | 0.6 | 0.5 | 1.8 | 1.5 | 12.2 | 185 | 5.6 | 8.9 | 34.0 | 35.7 | 64.3 | 0.65 | 243.1 | 44.0 |
E. Buggs
|
G | 34 | 28.2 | 7.0 | 2.6 | 3.7 | 1.6 | 0.3 | 2.5 | 1.5 | 11.1 | 237 | 7.0 | 10.7 | 56.9 | 20.0 | 37.5 | 1.2 | 194.1 | 58.8 |
W. Bogan
|
G | 34 | 26.6 | 6.4 | 1.1 | 1.4 | 0.9 | 0.1 | 1.2 | 1.1 | 7.5 | 235 | 6.9 | 11.2 | 46.2 | 45.2 | 100.0 | 1.45 | 254.0 | 64.1 |
B. Capobianco
|
F | 30 | 16.2 | 5.9 | 4.5 | 0.7 | 0.5 | 0.4 | 1.0 | 0.9 | 10.0 | 120 | 3.9 | 8.6 | 46.4 | 50.0 | 40.0 | 0.58 | 294.7 | 53.6 |
B. Boggs
|
G | 33 | 17.9 | 5.6 | 2.3 | 0.5 | 0.5 | 0.0 | 0.8 | 0.8 | 7.3 | 61 | 1.8 | 4.0 | 52.0 | 46.2 | 87.5 | -0.57 | 324.3 | 64.0 |
J. Coleman
|
G | 28 | 15.4 | 4.6 | 2.6 | 0.4 | 0.6 | 0.3 | 0.9 | 0.9 | 6.8 | 147 | 4.3 | 7.0 | 40.0 | 22.2 | 75.0 | 0.88 | 224.4 | 44.0 |
A. Rossi
|
G | 9 | 5.1 | 2.1 | 0.4 | 0.1 | 0.1 | 0.0 | 0.4 | 0.1 | 2.2 | -5 | -0.6 | -3.5 | 0.0 | 0.0 | 0 | -0.15 | 950.0 | 0.0 |
V. Fernandez
|
C | 23 | 8.6 | 1.3 | 1.7 | 0.2 | 0.1 | 0.6 | 0.8 | 0.4 | 2.7 | 88 | 3.3 | 11.9 | 55.6 | 0 | 0.0 | 0.54 | 151.8 | 55.6 |
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