NC State Wolfpack
2014 Team Stats (9 games)
69.6
PPG
69.8
Opp
-0.6
Margin
46.7%
FG%
28.1%
3P%
62.2%
FT%
34.4
RPG
13.0
APG
10.2
TO
75.9
Pace
Model Outputs
2013-2014
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 → | 1531 (#55) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1559 (#28) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.6 (#43) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.387 (#48) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.361 (#48) | NetEff -5.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.744 (#32) | AdjNet +9.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.745 (#33) | AdjNet +9.3 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-30 | vs | Eastern Kentucky Colonels | W | 75 - 56 |
| 2013-12-28 | vs | Missouri Tigers | L | 64 - 68 |
| 2014-01-18 | @ | Duke Blue Devils | L | 60 - 95 |
| 2014-02-15 | @ | Syracuse Orange | L | 55 - 56 |
| 2014-02-26 | vs | North Carolina Tar Heels | L | 84 - 85 |
| 2014-03-13 | vs | Miami Hurricanes | W | 67 - 58 |
| 2014-03-14 | @ | Syracuse Orange | W | 66 - 63 |
| 2014-03-15 | @ | Duke Blue Devils | L | 67 - 75 |
| 2014-03-18 | @ | Xavier Musketeers | W | 74 - 59 |
| 2014-03-20 | @ | Saint Louis Billikens | L | 80 - 83 |
2014 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.J. Warren
|
F | 10 | 37.1 | 26.2 | 7.6 | 1.5 | 1.6 | 0.6 | 2.4 | 21.3 | 13.8 | - | - | - | 48.4 | 11.8 | 64.2 | - | 52.7 | 49.3 |
R. Turner
|
G | 10 | 28.9 | 11.6 | 2.1 | 1.2 | 0.5 | 0.2 | 1.0 | 9.1 | 5.5 | - | - | - | 41.8 | 39.1 | 78.9 | - | 58.4 | 55.5 |
C. Barber
|
G | 10 | 21.0 | 6.2 | 1.3 | 3.1 | 0.7 | 0.0 | 1.8 | 5.3 | 4.2 | - | - | - | 41.5 | 20.0 | 60.7 | - | 47.5 | 42.5 |
J. Vandenberg
|
C | 10 | 26.7 | 5.6 | 5.5 | 1.2 | 0.4 | 1.5 | 0.9 | 3.5 | 9.8 | - | - | - | 71.4 | 0 | 54.5 | - | 70.3 | 71.4 |
D. Lee
|
G | 10 | 18.1 | 5.5 | 1.8 | 1.5 | 0.2 | 0.1 | 1.1 | 4.1 | 3.9 | - | - | - | 34.1 | 36.8 | 83.3 | - | 53.3 | 42.7 |
K. Washington
|
F | 10 | 20.7 | 5.5 | 4.5 | 0.1 | 0.3 | 0.7 | 0.8 | 5.1 | 5.2 | -5 | -0.6 | -1.0 | 51.0 | 0.0 | 37.5 | 0.54 | 50.4 | 51.0 |
T. Lewis
|
G | 10 | 21.6 | 3.9 | 1.1 | 4.0 | 0.1 | 0.0 | 1.5 | 4.5 | 3.1 | 30 | 3.3 | 29.1 | 33.3 | 22.2 | 50.0 | 0.41 | 39.5 | 37.8 |
L. Freeman
|
F | 9 | 23.4 | 3.3 | 5.7 | 0.6 | 0.3 | 0.1 | 0.3 | 2.8 | 6.9 | - | - | - | 48.0 | 0 | 46.2 | - | 48.8 | 48.0 |
B. Anya
|
F | 9 | 11.0 | 1.9 | 2.2 | 0.0 | 0.1 | 1.1 | 0.3 | 0.9 | 4.1 | - | - | - | 87.5 | 0 | 42.9 | - | 76.7 | 87.5 |
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