Can Gibert vs EF Bosc de Tosca analysis
Possible results
Probability of each exact result
Probability of handicap
65.4%
Win probability
2.1
Expected goals
9-0
<0%
+9
<0%
8-0
<0%
+8
<0%
7-0
0.2%
8-1
<0%
+7
0.2%
6-0
0.6%
7-1
0.2%
8-2
<0%
+6
0.8%
5-0
1.7%
6-1
0.5%
7-2
0.1%
+5
2.3%
4-0
4.1%
5-1
1.5%
6-2
0.2%
7-3
<0%
+4
5.9%
3-0
7.8%
4-1
3.6%
5-2
0.7%
6-3
0.1%
+3
12.2%
2-0
11.2%
3-1
6.9%
4-2
1.6%
5-3
0.2%
6-4
<0%
+2
19.9%
1-0
10.7%
2-1
9.9%
3-2
3%
4-3
0.5%
5-4
<0%
+1
24.1%
19.8%
Draw
0-0
5.1%
1-1
9.4%
2-2
4.3%
3-3
0.9%
4-4
0.1%
0
19.8%
14.8%
Win probability
0.88
Expected goals
0-1
4.5%
1-2
4.1%
2-3
1.3%
3-4
0.2%
4-5
0%
-1
10.1%
0-2
2%
1-3
1.2%
2-4
0.3%
3-5
0%
-2
3.5%
0-3
0.6%
1-4
0.3%
2-5
0%
-3
0.9%
0-4
0.1%
1-5
0%
-4
0.2%
0-5
0%
-5
<0%
ELO Graph/Inclination
← Defensive
Tilt
Attacking →
+22%
+82%
ELO progression
Next opponents in ELO points
Matches
Can Gibert
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 28 May. 2017 |
CGI
4 - 1
BOS
55%
23%
22%
|
17 | 16 | 1 | 0 |
| 20 May. 2017 |
PAL
2 - 7
CGI
19%
23%
58%
|
16 | 11 | 5 | +1 |
| 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 |
Matches
EF Bosc de Tosca
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 28 May. 2017 |
CGI
4 - 1
BOS
55%
23%
22%
|
16 | 17 | 1 | 0 |
| 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 |