EF Bosc de Tosca vs Can Gibert analysis
Possible results
Probability of each exact result
Probability of handicap
47.7%
Win probability
1.79
Expected goals
8-0
<0%
+8
<0%
7-0
0.1%
8-1
<0%
+7
0.1%
6-0
0.2%
7-1
0.1%
8-2
<0%
+6
0.3%
5-0
0.7%
6-1
0.3%
7-2
<0%
+5
1%
4-0
1.8%
5-1
0.9%
6-2
0.2%
7-3
<0%
+4
2.9%
3-0
4.1%
4-1
2.5%
5-2
0.6%
6-3
0.1%
+3
7.3%
2-0
6.9%
3-1
5.6%
4-2
1.7%
5-3
0.3%
6-4
<0%
+2
14.5%
1-0
7.7%
2-1
9.3%
3-2
3.8%
4-3
0.8%
5-4
0.1%
+1
21.7%
23.1%
Draw
0-0
4.3%
1-1
10.4%
2-2
6.3%
3-3
1.7%
4-4
0.3%
5-5
<0%
0
23.1%
29.2%
Win probability
1.36
Expected goals
0-1
5.8%
1-2
7.1%
2-3
2.9%
3-4
0.6%
4-5
0.1%
-1
16.4%
0-2
4%
1-3
3.2%
2-4
1%
3-5
0.2%
4-6
0%
-2
8.3%
0-3
1.8%
1-4
1.1%
2-5
0.3%
3-6
0%
-3
3.2%
0-4
0.6%
1-5
0.3%
2-6
0.1%
-4
1%
0-5
0.2%
1-6
0.1%
2-7
0%
-5
0.2%
0-6
0%
1-7
0%
-6
0.1%
ELO Graph/Inclination
← Defensive
Tilt
Attacking →
+123%
+34%
ELO progression
Next opponents in ELO points
Matches
EF Bosc de Tosca
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 12 Feb. 2023 |
FIG
1 - 2
BOS
76%
16%
8%
|
15 | 24 | 9 | 0 |
| 04 Feb. 2023 |
BOS
1 - 1
CMB
47%
22%
31%
|
15 | 15 | 0 | 0 |
| 28 Jan. 2023 |
BOS
1 - 1
BSC
53%
22%
25%
|
15 | 15 | 0 | 0 |
| 22 Jan. 2023 |
PAR
1 - 1
BOS
41%
24%
35%
|
15 | 14 | 1 | 0 |
| 14 Jan. 2023 |
TOR
0 - 0
BOS
53%
22%
25%
|
15 | 16 | 1 | 0 |
Matches
Can Gibert
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 11 Feb. 2023 |
CGI
3 - 0
TOR
69%
17%
14%
|
16 | 13 | 3 | 0 |
| 05 Feb. 2023 |
CFM
0 - 1
CGI
42%
25%
33%
|
15 | 15 | 0 | +1 |
| 29 Jan. 2023 |
LES
0 - 0
CGI
74%
16%
10%
|
15 | 21 | 6 | 0 |
| 21 Jan. 2023 |
CGI
2 - 4
ECG
15%
20%
65%
|
16 | 27 | 11 | -1 |
| 15 Jan. 2023 |
2 - 0
CGI
42%
25%
34%
|
17 | 16 | 1 | -1 |