EF Bosc de Tosca vs Can Gibert analysis
Possible results
Probability of each exact result
Probability of handicap
42.2%
Win probability
1.77
Expected goals
7-0
<0%
8-1
<0%
+7
<0%
6-0
0.1%
7-1
0.1%
8-2
<0%
+6
0.2%
5-0
0.5%
6-1
0.2%
7-2
<0%
+5
0.8%
4-0
1.4%
5-1
0.8%
6-2
0.2%
7-3
<0%
+4
2.4%
3-0
3.2%
4-1
2.2%
5-2
0.6%
6-3
0.1%
+3
6.2%
2-0
5.4%
3-1
5.1%
4-2
1.8%
5-3
0.3%
6-4
<0%
+2
12.6%
1-0
6.1%
2-1
8.6%
3-2
4%
4-3
0.9%
5-4
0.1%
6-5
<0%
+1
19.9%
22.7%
Draw
0-0
3.5%
1-1
9.8%
2-2
6.9%
3-3
2.2%
4-4
0.4%
5-5
<0%
0
22.7%
35.1%
Win probability
1.6
Expected goals
0-1
5.5%
1-2
7.8%
2-3
3.7%
3-4
0.9%
4-5
0.1%
5-6
0%
-1
18%
0-2
4.4%
1-3
4.1%
2-4
1.5%
3-5
0.3%
4-6
0%
-2
10.3%
0-3
2.3%
1-4
1.7%
2-5
0.5%
3-6
0.1%
-3
4.5%
0-4
0.9%
1-5
0.5%
2-6
0.1%
3-7
0%
-4
1.6%
0-5
0.3%
1-6
0.1%
2-7
0%
-5
0.5%
0-6
0.1%
1-7
0%
-6
0.1%
0-7
0%
-7
<0%
ELO Graph/Inclination
← Defensive
Tilt
Attacking →
+82%
+15%
ELO progression
Next opponents in ELO points
Matches
EF Bosc de Tosca
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 14 May. 2016 |
SGR
0 - 3
BOS
29%
23%
48%
|
13 | 10 | 3 | 0 |
| 08 May. 2016 |
BOS
3 - 0
BRS
55%
21%
24%
|
12 | 12 | 0 | +1 |
| 01 May. 2016 |
BES
1 - 0
BOS
39%
24%
37%
|
13 | 12 | 1 | -1 |
| 23 Apr. 2016 |
BOS
1 - 2
BLA
57%
19%
23%
|
14 | 12 | 2 | -1 |
| 17 Apr. 2016 |
COR
2 - 1
BOS
44%
23%
34%
|
15 | 13 | 2 | -1 |
Matches
Can Gibert
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 14 May. 2016 |
CGI
5 - 2
TOR
70%
17%
13%
|
16 | 11 | 5 | 0 |
| 08 May. 2016 |
CMP
1 - 2
CGI
59%
20%
21%
|
15 | 17 | 2 | +1 |
| 30 Apr. 2016 |
CGI
1 - 0
BRD
76%
14%
10%
|
15 | 8 | 7 | 0 |
| 23 Apr. 2016 |
CGI
0 - 1
SGR
81%
12%
7%
|
16 | 9 | 7 | -1 |
| 16 Apr. 2016 |
BRS
0 - 1
CGI
32%
23%
45%
|
16 | 12 | 4 | 0 |