Statistics

Total rates 454
Average score 3.3
Predictions 3423
Premium Tips 5
Win rate 75%

Popular Leagues

Other Leagues

Shijiazhuang Ever Bright vs Shaanxi Athletic Predictions & Stats 21 Apr 2019

  • Predictions 1X2
  • Under/Over 2.5
  • Both To Score
  • Handicap
Home team - Away team
1
×
2
Betimate
Betimate
Correct score
Avg. goals
B.O
Score
14
22
64
2
0 - 1
2.3
1.56
5 - 0
Home team - Away team
Under
Over
Betimate
Betimate
Avg. goals
B.O
Score
Home team - Away team
No
Yes
Betimate
Betimate
Correct score
Avg. goals
B.O
Score
Home team - Away team
Probability in%
Betimate
Betimate
Correct score
Avg. goals
B.O
Score

General Probability & odds

Market
Probability
Odd
Home win
13.89%
7.2
Draw
23.67%
4.22
Away win
63.51%
1.57
Under 2.5 Goals
59.76%
1.67
Over 2.5 Goals
41.31%
2.42
BTTS Yes
38.45%
2.6
BTTS No
62.62%
1.6

Probality by diff Goals for Home team

Diff Goals (Home/Away)
-3
-2
-1
0
1
2
3
Probability
10.25%
19.8%
27.38%
23.67%
10.18%
2.77%
0.59%

Probality by total goals

Total goals
0
1
2
3
4
5
6
Probability
10.07%
23.13%
26.56%
20.35%
11.7%
5.39%
2.1%

Standings of both teams

PTS GP W D L GF GA +/-
1. Qingdao Huanghai 57 30 17 6 7 59 36 23
2. Shijiazhuang Ever Bright 56 30 18 2 10 59 42 17
3. Guizhou Zhicheng 54 30 17 3 10 46 28 18
4. Heilongjiang Lava Spring 54 30 15 9 6 46 34 12
5. Changchun Yatai 53 30 15 8 7 52 42 10
6. Hangzhou Greentown 51 30 14 9 7 49 40 9
7. Nei Mongol FC 51 30 15 6 9 35 30 5
8. Beijing Sport University FC 46 30 13 7 10 51 30 21
9. Shaanxi Athletic 44 30 13 5 12 39 37 2
10. Meizhou Hakka 39 30 11 6 13 44 41 3
11. Guangdong Southern Tigers F.C. 36 30 10 6 14 41 50 -9
12. Nantong Zhiyun 33 30 8 9 13 35 38 -3
13. Xinjiang Tianshan 33 30 9 6 15 39 55 -16
14. Sichuan Annapurna 31 30 8 7 15 36 52 -16
15. Liaoning Hongyun 21 30 5 6 19 33 57 -24
16. Shanghai Shenxin 12 30 3 3 24 30 82 -52
More [+]
  • Statistics
  • Lineups
  • LIVE Commentary
5
Goals
0
17
Shots
2
9
On target
0
8
Off target
2
5
Corners
0
1
Penalties
0
1
Yellow cards
2
0
Yellow/red cards
0
0
Reds cards
1
No data
No data
[]