Can Gibert vs Banyoles analysis
Possible results
Probability of each exact result
Probability of handicap
48.6%
Win probability
1.91
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
0.1%
+5
1.1%
4-0
1.9%
5-1
1.1%
6-2
0.2%
7-3
<0%
+4
3.3%
3-0
4.1%
4-1
2.8%
5-2
0.8%
6-3
0.1%
7-4
<0%
+3
7.7%
2-0
6.4%
3-1
5.9%
4-2
2%
5-3
0.4%
6-4
<0%
+2
14.7%
1-0
6.7%
2-1
9.2%
3-2
4.2%
4-3
1%
5-4
0.1%
6-5
<0%
+1
21.3%
22.2%
Draw
0-0
3.5%
1-1
9.7%
2-2
6.6%
3-3
2%
4-4
0.3%
5-5
<0%
0
22.2%
29.2%
Win probability
1.44
Expected goals
0-1
5.1%
1-2
7%
2-3
3.2%
3-4
0.7%
4-5
0.1%
-1
16%
0-2
3.7%
1-3
3.3%
2-4
1.1%
3-5
0.2%
4-6
0%
-2
8.4%
0-3
1.8%
1-4
1.2%
2-5
0.3%
3-6
0.1%
-3
3.3%
0-4
0.6%
1-5
0.3%
2-6
0.1%
3-7
0%
-4
1.1%
0-5
0.2%
1-6
0.1%
2-7
0%
-5
0.3%
0-6
0%
1-7
0%
-6
0.1%
ELO Graph/Inclination
← Defensive
Tilt
Attacking →
+16%
+12%
ELO progression
Next opponents in ELO points
Matches
Can Gibert
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 21 Jan. 2017 |
ABD
0 - 1
CGI
52%
22%
27%
|
15 | 15 | 0 | 0 |
| 14 Jan. 2017 |
BOS
2 - 0
CGI
65%
18%
17%
|
16 | 18 | 2 | -1 |
| 07 Jan. 2017 |
CGI
3 - 0
PAL
53%
22%
25%
|
14 | 14 | 0 | +2 |
| 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 |
Matches
Banyoles
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 22 Jan. 2017 |
BAN
3 - 1
CAM
76%
14%
10%
|
15 | 10 | 5 | 0 |
| 14 Jan. 2017 |
ABD
5 - 3
BAN
36%
23%
41%
|
16 | 14 | 2 | -1 |
| 08 Jan. 2017 |
BAN
0 - 0
BOS
42%
23%
36%
|
16 | 18 | 2 | 0 |
| 17 Dec. 2016 |
PAL
1 - 4
BAN
53%
22%
25%
|
14 | 16 | 2 | +2 |
| 11 Dec. 2016 |
BAN
1 - 0
CAS
48%
24%
29%
|
14 | 14 | 0 | 0 |