Rice
2013 Team Stats (1 games)
63.0
PPG
70.9
Opp
-10.4
Margin
41.5%
FG%
34.8%
3P%
78.6%
FT%
30.0
RPG
6.0
APG
13.0
TO
72.2
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 → | 1292 (#173) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1225 (#204) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 800 (#591) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.9 (#253) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.4 (#351) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.090 (#222) | NetEff -20.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.318 (#577) | AdjO 59.3 | AdjD 67.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.320 (#421) | 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 → | 0.299 (#463) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 766 (#570) | RD 141 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Jackson
|
G | 31 | 35.2 | 17.7 | 6.0 | 2.5 | 1.4 | 0.1 | 2.9 | 4.5 | 20.3 | 143 | 4.1 | 6.2 | 36.0 | 28.8 | 69.2 | 0.93 | 175.8 | 41.4 |
J. DeBose
|
G | 31 | 32.4 | 10.4 | 4.3 | 1.3 | 1.2 | 0.3 | 1.7 | 2.4 | 13.4 | -153 | -4.9 | -7.1 | 44.6 | 38.1 | 85.0 | -0.21 | 193.8 | 50.0 |
M. Guercy
|
G | 31 | 31.4 | 9.5 | 2.6 | 2.5 | 1.5 | 0.0 | 1.8 | 2.1 | 12.3 | -160 | -5.2 | -7.6 | 33.8 | 28.6 | 87.0 | -0.34 | 196.4 | 41.5 |
A. Ramljak
|
G | 31 | 27.7 | 9.0 | 2.0 | 0.8 | 0.5 | 0.2 | 0.7 | 1.9 | 10.0 | -226 | -7.3 | -9.9 | 33.3 | 36.5 | 80.0 | -0.51 | 225.1 | 49.2 |
S. Gearhart
|
F | 20 | 29.1 | 7.0 | 3.0 | 1.6 | 1.1 | 0.5 | 0.7 | 1.4 | 10.9 | -83 | -4.2 | -6.2 | 42.9 | 40.0 | 88.9 | 0.02 | 217.5 | 57.1 |
N. Kapic
|
G | 1 | 16.0 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 6.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Washington
|
G | 29 | 20.7 | 4.3 | 1.9 | 2.1 | 0.8 | 0.0 | 1.9 | 1.1 | 6.1 | 7 | 0.8 | 1.0 | 18.8 | 22.2 | 87.5 | 0.28 | 176.0 | 21.9 |
R. Wilson
|
F | 31 | 18.0 | 3.1 | 2.3 | 0.7 | 0.3 | 0.1 | 1.3 | 0.4 | 4.8 | -139 | -4.5 | -11.1 | 50.0 | 0 | 66.7 | 0.13 | 364.1 | 50.0 |
B. Firozgary
|
F | 31 | 8.6 | 1.5 | 1.2 | 0.1 | 0.1 | 0.1 | 0.4 | 0.2 | 2.4 | -170 | -5.5 | -17.8 | 60.0 | 0 | 50.0 | -1.7 | 382.7 | 60.0 |
E. Franshaw
|
- | 15 | 5.1 | 0.5 | 0.5 | 0.0 | 0.3 | 0.1 | 0.2 | 0.2 | 1.0 | -59 | -3.9 | -29.1 | 33.3 | 0 | 50.0 | -0.78 | 103.1 | 33.3 |
D. Peera
|
G | 30 | 6.6 | 0.4 | 0.4 | 0.2 | 0.2 | 0.0 | 0.1 | 0.1 | 1.0 | -128 | -4.3 | -20.5 | 25.0 | 33.3 | 0 | -1.08 | 137.5 | 37.5 |
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