China2015 Team Stats (2 games)
62.0
PPG
89.0
Opp
-27.0
Margin
45.5%
FG%
38.2%
3P%
70.0%
FT%
22.0
RPG
16.5
APG
19.0
TO
75.1
Pace
Model Outputs
2015
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 → | 950 (#12) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 917 (#13) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -20.0 (#15) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.006 (#15) | - |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-05-27 | @ | Connecticut Sun | L | 65 - 86 |
| 2015-05-28 | @ | Chicago Sky | L | 59 - 92 |
2015 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. Jiabao
|
F | 2 | 27.0 | 12.5 | 2.5 | 2.5 | 0.5 | 0.0 | 3.5 | 8.5 | 6.0 | - | - | - | 47.1 | 50.0 | 66.7 | - | 63.6 | 61.8 |
S. Mengxin
|
F | 2 | 31.5 | 12.5 | 2.5 | 1.5 | 0.5 | 0.0 | 2.0 | 12.5 | 2.5 | - | - | - | 40.0 | 28.6 | 50.0 | - | 48.3 | 48.0 |
L. Dan
|
C | 1 | 25.0 | 12.0 | 4.0 | 3.0 | 0.0 | 1.0 | 4.0 | 8.0 | 8.0 | - | - | - | 50.0 | 100.0 | 75.0 | - | 61.5 | 56.2 |
X. Ma
|
F | 2 | 29.0 | 11.5 | 5.5 | 4.0 | 1.5 | 0.0 | 2.0 | 6.5 | 14.0 | - | - | - | 69.2 | 50.0 | 100.0 | - | 77.9 | 73.1 |
Z. Zhang
|
F | 2 | 16.5 | 5.0 | 2.5 | 0.0 | 0.5 | 0.0 | 0.5 | 4.5 | 3.0 | - | - | - | 55.6 | 0 | 0 | - | 55.6 | 55.6 |
Y. Banban
|
F | 2 | 21.0 | 4.5 | 0.5 | 4.0 | 0.0 | 0.0 | 3.5 | 3.5 | 2.0 | - | - | - | 42.9 | 25.0 | 66.7 | - | 54.1 | 50.0 |
Dennis Trammell
|
- | 2 | 15.5 | 4.0 | 1.5 | 0.0 | 0.0 | 0.0 | 1.0 | 4.5 | 0.0 | - | - | - | 33.3 | 0 | 66.7 | - | 38.8 | 33.3 |
C. Wang
|
F | 2 | 16.5 | 4.0 | 2.0 | 0.5 | 0.0 | 0.0 | 1.5 | 3.0 | 2.0 | - | - | - | 50.0 | 100.0 | 50.0 | - | 58.1 | 58.3 |
S. Xiaoyu
|
F | 2 | 14.0 | 1.5 | 1.0 | 2.5 | 0.5 | 0.0 | 1.0 | 1.5 | 3.0 | - | - | - | 0.0 | 0.0 | 75.0 | - | 31.5 | 0.0 |
W. Di
|
G | 2 | 7.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
Z. Zhifang
|
F | 2 | 3.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Qi
|
F | 2 | 6.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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