Can Gibert vs EF Bosc de Tosca analysis
Possible results
Probability of each exact result
Probability of handicap
55%
Win probability
1.79
Expected goals
8-0
<0%
+8
<0%
7-0
0.1%
8-1
<0%
+7
0.1%
6-0
0.3%
7-1
0.1%
+6
0.3%
5-0
0.9%
6-1
0.3%
7-2
<0%
+5
1.2%
4-0
2.5%
5-1
0.9%
6-2
0.1%
7-3
<0%
+4
3.6%
3-0
5.7%
4-1
2.6%
5-2
0.5%
6-3
<0%
+3
8.8%
2-0
9.5%
3-1
5.9%
4-2
1.4%
5-3
0.2%
6-4
<0%
+2
16.9%
1-0
10.6%
2-1
9.8%
3-2
3%
4-3
0.5%
5-4
<0%
+1
24%
23.2%
Draw
0-0
5.9%
1-1
11%
2-2
5.1%
3-3
1%
4-4
0.1%
0
23.2%
21.8%
Win probability
1.04
Expected goals
0-1
6.2%
1-2
5.7%
2-3
1.8%
3-4
0.3%
4-5
0%
-1
13.9%
0-2
3.2%
1-3
2%
2-4
0.5%
3-5
0.1%
-2
5.7%
0-3
1.1%
1-4
0.5%
2-5
0.1%
-3
1.7%
0-4
0.3%
1-5
0.1%
2-6
0%
-4
0.4%
0-5
0.1%
1-6
0%
-5
0.1%
0-6
0%
-6
<0%
ELO Graph/Inclination
← Defensive
Tilt
Attacking →
+16%
+71%
ELO progression
Next opponents in ELO points
Matches
Can Gibert
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 20 May. 2017 |
PAL
2 - 7
CGI
19%
23%
58%
|
16 | 11 | 5 | 0 |
| 13 May. 2017 |
CGI
0 - 1
CAS
50%
22%
28%
|
17 | 17 | 0 | -1 |
| 06 May. 2017 |
BSC
2 - 4
CGI
30%
23%
46%
|
16 | 13 | 3 | +1 |
| 29 Apr. 2017 |
CGI
3 - 0
BLA
74%
15%
11%
|
16 | 11 | 5 | 0 |
| 23 Apr. 2017 |
COR
3 - 3
CGI
32%
23%
46%
|
16 | 12 | 4 | 0 |
Matches
EF Bosc de Tosca
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 20 May. 2017 |
BOS
2 - 3
BAN
38%
24%
38%
|
16 | 18 | 2 | 0 |
| 13 May. 2017 |
ABD
0 - 3
BOS
24%
22%
54%
|
16 | 11 | 5 | 0 |
| 06 May. 2017 |
CAM
2 - 0
BOS
16%
20%
64%
|
17 | 10 | 7 | -1 |
| 29 Apr. 2017 |
BOS
5 - 0
PAL
78%
14%
8%
|
16 | 12 | 4 | +1 |
| 22 Apr. 2017 |
CAS
2 - 1
BOS
45%
23%
32%
|
17 | 16 | 1 | -1 |