EF Bosc de Tosca vs Can Gibert analysis
Possible results
Probability of each exact result
Probability of handicap
64.6%
Win probability

2.42
Expected goals
9-0
<0%
+9
<0%
8-0
0.1%
9-1
<0%
+8
0.1%
7-0
0.3%
8-1
0.1%
9-2
<0%
+7
0.4%
6-0
0.8%
7-1
0.3%
8-2
0.1%
+6
1.1%
5-0
1.9%
6-1
0.9%
7-2
0.2%
8-3
<0%
+5
3%
4-0
3.9%
5-1
2.2%
6-2
0.5%
7-3
0.1%
+4
6.7%
3-0
6.4%
4-1
4.6%
5-2
1.3%
6-3
0.2%
7-4
<0%
+3
12.6%
2-0
7.9%
3-1
7.6%
4-2
2.7%
5-3
0.5%
6-4
0.1%
+2
18.9%
1-0
6.5%
2-1
9.4%
3-2
4.5%
4-3
1.1%
5-4
0.2%
6-5
<0%
+1
21.7%
18.2%
Draw
0-0
2.7%
1-1
7.8%
2-2
5.6%
3-3
1.8%
4-4
0.3%
5-5
<0%
0
18.2%
17.2%
Win probability

1.19
Expected goals
0-1
3.2%
1-2
4.6%
2-3
2.2%
3-4
0.5%
4-5
0.1%
-1
10.7%
0-2
1.9%
1-3
1.8%
2-4
0.7%
3-5
0.1%
4-6
0%
-2
4.5%
0-3
0.8%
1-4
0.5%
2-5
0.2%
3-6
0%
-3
1.5%
0-4
0.2%
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 →

+71%
+16%

ELO progression


Next opponents in ELO points
Matches
EF Bosc de Tosca

1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
---|---|---|---|---|---|
08 Jan. 2017 |
BAN
![]() 0 - 0
![]() BOS
42%
23%
36%
|
18 | 16 | 2 | 0 |
17 Dec. 2016 |
BOS
![]() 3 - 1
![]() ABD
66%
18%
17%
|
17 | 15 | 2 | +1 |
10 Dec. 2016 |
BOS
![]() 4 - 3
![]() CAM
87%
9%
4%
|
17 | 9 | 8 | 0 |
26 Nov. 2016 |
PAL
![]() 2 - 1
![]() BOS
36%
24%
41%
|
18 | 16 | 2 | -1 |
19 Nov. 2016 |
BOS
![]() 1 - 0
![]() CAS
61%
19%
20%
|
18 | 16 | 2 | 0 |
Matches
Can Gibert

1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
---|---|---|---|---|---|
07 Jan. 2017 |
CGI
![]() 3 - 0
![]() PAL
53%
22%
25%
|
14 | 14 | 0 | 0 |
17 Dec. 2016 |
CAS
![]() 1 - 2
![]() CGI
47%
23%
30%
|
14 | 14 | 0 | 0 |
10 Dec. 2016 |
CGI
![]() 0 - 0
![]() BSC
30%
23%
47%
|
14 | 17 | 3 | 0 |
26 Nov. 2016 |
BLA
![]() 0 - 2
![]() CGI
65%
18%
18%
|
12 | 14 | 2 | +2 |
19 Nov. 2016 |
CGI
![]() 1 - 1
![]() COR
48%
22%
30%
|
13 | 13 | 0 | -1 |