Stanford Cardinal
2016 Team Stats (7 games)
67.3
PPG
73.4
Opp
-6.1
Margin
40.6%
FG%
25.4%
3P%
63.6%
FT%
38.7
RPG
11.3
APG
12.9
TO
-
Est. poss./game
70.8
Adj PPG
65.3
Adj Opp PPG
#101
Scoring Rank
Model Outputs
2015-2016
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 | 1094 (#117) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1098 (#109) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 969 (#213) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +6.5 (#93) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +2.2 (#135) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.405 (#215) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.765 (#86) | AdjNet +10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.768 (#86) | AdjNet +10.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.622 (#101) | AdjO 70.8 | AdjD 65.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.467 (#194) | AdjO 67.2 | AdjD 68.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.603 (#122) | 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 | 0.572 (#128) | 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 | 1096 (#110) | RD 134 | GP 29 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Allen
|
F | 27 | 34.4 | 15.3 | 6.5 | 1.7 | 1.2 | 0.1 | 2.0 | 2.9 | 19.9 | 63 | 20 | 3.1 | 4.0 | 39.7 | 23.7 | 63.2 | 1.41 | 218.0 | 45.5 |
R. Travis
|
F | 7 | 33.6 | 13.1 | 7.3 | 0.7 | 0.9 | 0.7 | 2.0 | 2.0 | 18.7 | 14 | 5 | 2.8 | 3.9 | 42.9 | 0 | 44.4 | -1.36 | 209.9 | 42.9 |
D. Pickens
|
G | 27 | 29.5 | 12.1 | 3.8 | 1.7 | 1.0 | 0.1 | 1.1 | 2.7 | 15.0 | 90 | 20 | 4.5 | 6.7 | 39.7 | 23.3 | 66.7 | 4.34 | 187.4 | 44.5 |
M. Allen
|
G | 25 | 31.8 | 11.2 | 4.0 | 1.8 | 1.4 | 0.0 | 1.6 | 2.1 | 14.8 | 16 | 18 | 0.9 | 1.2 | 40.4 | 26.7 | 76.7 | 0.7 | 214.0 | 44.2 |
M. Humphrey
|
F | 27 | 24.1 | 10.2 | 6.3 | 0.8 | 1.0 | 1.3 | 1.5 | 1.8 | 16.2 | 74 | 20 | 3.7 | 6.1 | 44.9 | 0.0 | 65.2 | 1.86 | 232.6 | 44.9 |
M. Sheffield II
|
G | 25 | 17.2 | 6.2 | 2.2 | 1.0 | 0.5 | 0.1 | 1.1 | 1.7 | 7.3 | 50 | 19 | 2.6 | 7.2 | 50.0 | 50.0 | 60.0 | 3.2 | 153.5 | 57.1 |
C. Sanders
|
G | 25 | 21.7 | 4.5 | 2.2 | 2.8 | 0.6 | 0.0 | 1.6 | 0.9 | 7.6 | 17 | 19 | 0.9 | 1.7 | 27.3 | 25.0 | 100.0 | -0.97 | 246.9 | 29.5 |
G. Verhoeven
|
C | 24 | 15.1 | 3.5 | 2.1 | 0.2 | 0.5 | 0.4 | 0.5 | 0.9 | 5.3 | -17 | 18 | -0.9 | -3.0 | 45.5 | 33.3 | 80.0 | -1.93 | 161.0 | 47.7 |
M. Allen
|
C | 25 | 11.9 | 2.5 | 0.7 | 1.2 | 0.4 | 0.0 | 1.0 | 0.8 | 3.0 | -10 | 18 | -0.6 | -2.4 | 40.0 | 20.0 | 50.0 | -2.94 | 142.5 | 42.5 |
J. Sharma
|
C | 24 | 7.6 | 1.8 | 1.5 | 0.1 | 0.2 | 0.8 | 0.2 | 0.6 | 3.5 | 10 | 18 | 0.6 | 3.7 | 35.7 | 0.0 | 60.0 | -1.71 | 129.6 | 35.7 |
C. Walker
|
F | 22 | 9.7 | 1.2 | 1.1 | 0.8 | 0.2 | 0.0 | 0.6 | 0.3 | 2.5 | 22 | 16 | 1.4 | 6.1 | 0.0 | 0.0 | 41.7 | -0.04 | 119.7 | 0.0 |
J. Hanson
|
G | 3 | 1.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | - | 0 | 0 | 0 | -1.9 | 0 | 0 |
I. Proulx
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | -0.94 | 0 | 0 |
A. Seutin
|
F | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | -0.94 | 0 | 0 |
A. Adedeji
|
- | 2 | 1.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | - | 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