Akron
2013 Team Stats (6 games)
66.3
PPG
62.8
Opp
+9.0
Margin
45.0%
FG%
25.4%
3P%
64.3%
FT%
32.3
RPG
13.3
APG
13.8
TO
77.7
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 → | 1471 (#81) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1388 (#97) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1083 (#65) | HCA +147 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 994 (#352) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.3 (#112) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.5 (#132) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.3 (#332) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.320 (#137) | NetEff -6.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.630 (#82) | AdjO 65.7 | AdjD 59.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.473 (#342) | AdjO 64.8 | AdjD 66.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.839 (#71) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.460 (#309) | 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 → | 0.808 (#72) | 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 → | 0.459 (#306) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1233 (#49) | RD 115 | GP 33 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 890 (#427) | RD 350 | GP 2 |
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. Tecca
|
- | 1 | 0.0 | 13.0 | 6.0 | 0.0 | 0.0 | 0.0 | 3.0 | 12.0 | 4.0 | - | - | - | 33.3 | 0 | 83.3 | - | 44.4 | 33.3 |
Z. Marshall
|
C | 33 | 28.2 | 13.0 | 7.0 | 0.8 | 0.6 | 3.7 | 1.4 | 5.3 | 18.4 | 225 | 6.8 | 11.1 | 63.4 | 100.0 | 66.4 | 1.76 | 93.6 | 64.0 |
H. Luburgh
|
- | 1 | 0.0 | 12.0 | 4.0 | 0.0 | 1.0 | 0.0 | 3.0 | 12.0 | 2.0 | - | - | - | 33.3 | 25.0 | 100.0 | - | 46.6 | 41.7 |
D. Treadwell
|
F | 30 | 28.9 | 11.5 | 7.9 | 1.6 | 0.9 | 0.4 | 2.2 | 6.3 | 13.8 | 162 | 5.4 | 8.2 | 48.4 | 0 | 47.4 | 1.05 | 77.9 | 48.4 |
S. King
|
- | 1 | 0.0 | 11.0 | 3.0 | 0.0 | 0.0 | 0.0 | 3.0 | 10.0 | 1.0 | 84 | 2.6 | 10.7 | 30.0 | 33.3 | 100.0 | 0.65 | 46.8 | 35.0 |
A. Abreu
|
G | 29 | 30.2 | 10.3 | 2.5 | 6.0 | 1.2 | 0.1 | 2.9 | 5.4 | 11.7 | 246 | 8.5 | 12.7 | 43.9 | 39.8 | 85.7 | 1.76 | 82.0 | 55.1 |
N. Harney
|
F | 30 | 20.4 | 9.5 | 3.8 | 1.2 | 0.8 | 0.3 | 1.9 | 5.7 | 8.0 | 191 | 6.4 | 13.8 | 47.1 | 25.0 | 66.2 | 1.47 | 71.3 | 50.0 |
B. Walsh
|
G | 32 | 23.7 | 7.2 | 3.5 | 1.6 | 1.2 | 0.1 | 0.7 | 4.2 | 8.8 | 222 | 6.9 | 13.0 | 38.5 | 34.6 | 80.0 | 1.57 | 79.1 | 48.5 |
J. Kretzer
|
F | 33 | 21.0 | 5.7 | 3.2 | 1.0 | 0.9 | 0.1 | 0.9 | 3.5 | 6.5 | 100 | 3.0 | 5.4 | 40.4 | 34.9 | 90.0 | 0.37 | 79.8 | 53.5 |
C. Gilliam
|
F | 29 | 15.7 | 5.6 | 1.7 | 0.7 | 0.6 | 0.0 | 0.6 | 3.9 | 4.1 | 86 | 3.0 | 7.5 | 31.2 | 15.6 | 76.5 | 0.51 | 67.8 | 35.7 |
R. McAdams
|
F | 32 | 12.3 | 4.6 | 1.3 | 0.4 | 0.4 | 0.2 | 0.2 | 3.0 | 3.7 | 52 | 1.7 | 4.9 | 34.4 | 31.6 | 38.5 | 0.07 | 72.3 | 47.4 |
P. Forsythe
|
C | 33 | 11.2 | 3.4 | 2.7 | 0.3 | 0.2 | 0.8 | 1.1 | 1.8 | 4.5 | 46 | 1.4 | 4.1 | 51.7 | 0 | 54.8 | 0.08 | 76.7 | 51.7 |
T. Ruper
|
- | 1 | 0.0 | 3.0 | 3.0 | 1.0 | 2.0 | 0.0 | 0.0 | 7.0 | 2.0 | - | - | - | 14.3 | 14.3 | 0.0 | - | 20.2 | 21.4 |
D. Ibitayo
|
G | 29 | 11.0 | 3.0 | 1.8 | 0.7 | 0.3 | 0.1 | 0.6 | 2.0 | 3.1 | 72 | 2.5 | 7.3 | 37.9 | 24.1 | 59.1 | 0.13 | 63.5 | 44.0 |
J. Stalyga
|
F | 5 | 1.4 | 2.8 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.2 | - | - | - | 50.0 | 50.0 | 20.0 | - | 57.4 | 65.0 |
C. Betancourt
|
G | 33 | 11.5 | 2.0 | 0.9 | 1.6 | 0.4 | 0.0 | 1.8 | 1.5 | 1.7 | 0 | 0.0 | 0.0 | 39.6 | 15.4 | 66.7 | -0.29 | 61.9 | 41.7 |
D. Curtis
|
- | 1 | 0.0 | 1.0 | 3.0 | 6.0 | 0.0 | 0.0 | 3.0 | 5.0 | 2.0 | - | - | - | 0.0 | 0.0 | 50.0 | -0.05 | 8.5 | 0.0 |
D. Hoisten
|
G | 5 | 1.4 | 0.4 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.8 | - | - | - | 0.0 | 0.0 | 100.0 | - | 34.7 | 0.0 |
B. Justice
|
- | 6 | 4.0 | 0.3 | 0.3 | 0.3 | 0.0 | 0.0 | 0.2 | 0.8 | 0.0 | 11 | 1.4 | 17.3 | 0.0 | 0.0 | 100.0 | 0.17 | 17.0 | 0.0 |
L. Avsec
|
G | 7 | 1.9 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.4 | 0.1 | 0.0 | - | - | - | 0.0 | 0.0 | 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