Arizona State
2014 Team Stats (6 games)
68.3
PPG
78.2
Opp
-9.9
Margin
41.3%
FG%
37.3%
3P%
67.6%
FT%
31.5
RPG
12.8
APG
12.3
TO
77.4
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 → | 1498 (#69) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1531 (#37) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.6 (#93) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.176 (#83) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.385 (#77) | AdjNet -4.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.387 (#77) | AdjNet -4.0 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-22 | vs | Bradley Braves | W | 70 - 58 |
| 2013-11-28 | vs | Creighton Bluejays | L | 60 - 88 |
| 2014-01-16 | @ | Arizona Wildcats | L | 68 - 91 |
| 2014-02-14 | vs | Arizona Wildcats | W | 69 - 66 |
| 2014-03-13 | vs | Stanford Cardinal | L | 58 - 79 |
| 2014-03-20 | @ | Texas Longhorns | L | 85 - 87 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Carson
|
G | 6 | 38.7 | 16.7 | 4.0 | 5.5 | 1.2 | 0.0 | 4.2 | 15.3 | 7.8 | - | - | - | 39.1 | 30.8 | 75.0 | - | 47.1 | 41.3 |
J. Marshall
|
G | 5 | 31.8 | 13.4 | 3.8 | 1.2 | 0.4 | 0.2 | 1.2 | 11.0 | 6.8 | 11 | 1.1 | 1.6 | 43.6 | 41.4 | 50.0 | 0.87 | 54.8 | 54.5 |
J. Bachynski
|
C | 6 | 29.5 | 11.2 | 6.2 | 0.3 | 0.7 | 3.5 | 1.5 | 7.0 | 13.3 | - | - | - | 47.6 | 0 | 71.1 | - | 57.1 | 47.6 |
J. Gilling
|
F | 6 | 30.8 | 8.3 | 4.0 | 1.3 | 0.5 | 0.2 | 1.7 | 6.5 | 6.2 | - | - | - | 38.5 | 45.2 | 60.0 | - | 57.6 | 56.4 |
S. McKissic
|
F | 6 | 29.2 | 7.3 | 4.8 | 3.0 | 0.8 | 0.2 | 0.7 | 6.2 | 9.3 | - | - | - | 40.5 | 18.2 | 63.2 | - | 48.5 | 43.2 |
R. Edwards
|
F | 3 | 11.3 | 6.0 | 1.3 | 1.0 | 0.3 | 0.3 | 0.3 | 4.0 | 4.7 | - | - | - | 50.0 | 44.4 | 66.7 | - | 67.6 | 66.7 |
B. Barnes
|
G | 6 | 13.5 | 5.0 | 1.5 | 0.2 | 0.2 | 0.0 | 0.5 | 2.8 | 3.5 | - | - | - | 52.9 | 50.0 | 66.7 | - | 71.6 | 70.6 |
C. Murray
|
G | 3 | 11.0 | 4.3 | 1.3 | 0.7 | 0.0 | 0.0 | 1.3 | 2.7 | 2.3 | - | - | - | 50.0 | 33.3 | 80.0 | - | 63.7 | 56.2 |
E. Koulechov
|
G | 3 | 19.0 | 2.7 | 2.7 | 1.0 | 0.0 | 0.0 | 1.3 | 3.7 | 1.3 | - | - | - | 18.2 | 0.0 | 66.7 | - | 29.3 | 18.2 |
E. Jacobsen
|
F | 6 | 10.5 | 1.3 | 1.0 | 0.2 | 0.0 | 0.2 | 0.3 | 0.7 | 1.7 | - | - | - | 75.0 | 0 | 66.7 | - | 75.2 | 75.0 |
S. Tummala
|
G | 2 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.5 | -0.5 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
B. Kearney
|
G | 4 | 7.8 | 0.8 | 0.8 | 0.0 | 0.2 | 0.0 | 0.5 | 1.5 | -0.2 | - | - | - | 16.7 | 100.0 | 0 | - | 25.0 | 25.0 |
C. Robinson
|
G | 3 | 3.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | -0.7 | - | - | - | 0.0 | 0.0 | 0 | -0.66 | 0.0 | 0.0 |
J. Upchurch
|
G | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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