China2014 Team Stats (2 games)
59.5
PPG
102.5
Opp
-43.0
Margin
35.1%
FG%
21.9%
3P%
86.5%
FT%
28.5
RPG
11.0
APG
29.0
TO
94.1
Pace
Model Outputs
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 → | 952 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 896 (#16) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -36.4 (#16) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.000 (#16) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-05-10 | @ | Los Angeles Sparks | L | 58 - 98 |
| 2014-05-12 | @ | Tulsa Shock | L | 61 - 107 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Xiufeng
|
G | 2 | 30.5 | 19.0 | 3.5 | 1.5 | 1.5 | 0.0 | 6.5 | 14.0 | 5.0 | - | - | - | 50.0 | 33.3 | 80.0 | - | 58.6 | 53.6 |
Z. Fan
|
F | 1 | 28.0 | 11.0 | 4.0 | 1.0 | 1.0 | 1.0 | 3.0 | 8.0 | 7.0 | - | - | - | 62.5 | 0.0 | 50.0 | - | 61.9 | 62.5 |
Y. Dong
|
C | 2 | 32.0 | 8.5 | 5.0 | 0.5 | 0.0 | 1.0 | 3.0 | 7.5 | 4.5 | - | - | - | 40.0 | 50.0 | 100.0 | - | 53.5 | 50.0 |
Y. Hengyu
|
F | 2 | 19.5 | 7.0 | 5.5 | 0.0 | 0.0 | 0.0 | 5.0 | 8.0 | -0.5 | - | - | - | 25.0 | 0 | 85.7 | - | 36.7 | 25.0 |
D. Yuan
|
F | 2 | 27.0 | 5.0 | 2.5 | 3.5 | 1.0 | 0.5 | 2.0 | 4.5 | 6.0 | - | - | - | 22.2 | 20.0 | 100.0 | - | 44.6 | 27.8 |
L. Dan
|
C | 2 | 22.0 | 4.0 | 2.5 | 1.0 | 0.0 | 0.5 | 3.0 | 5.0 | 0.0 | - | - | - | 30.0 | 0.0 | 100.0 | - | 36.8 | 30.0 |
S. Xiaoyu
|
F | 2 | 5.0 | 4.0 | 3.0 | 0.5 | 0.0 | 0.0 | 1.5 | 1.5 | 4.5 | - | - | - | 100.0 | 0 | 100.0 | - | 103.1 | 100.0 |
J. Weina
|
G | 2 | 13.5 | 3.5 | 0.5 | 0.5 | 0.5 | 0.5 | 4.0 | 4.5 | -3.0 | - | - | - | 22.2 | 25.0 | 100.0 | - | 35.4 | 27.8 |
J. Jiabao
|
F | 2 | 9.5 | 2.5 | 2.0 | 0.5 | 0.0 | 0.5 | 0.5 | 3.0 | 2.0 | - | - | - | 16.7 | 0.0 | 75.0 | - | 32.2 | 16.7 |
S. Mengxin
|
F | 2 | 9.0 | 0.5 | 0.5 | 1.0 | 0.5 | 0.0 | 0.0 | 2.5 | 0.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 9.2 | 0.0 |
Y. Banban
|
G | 2 | 12.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.5 | 0.5 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. Binbin
|
G | 2 | 6.5 | 0.0 | 1.5 | 0.5 | 1.0 | 0.0 | 0.5 | 2.0 | 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