Bayside Argonauts vs RMIT analysis
Possible results
Probability of each exact result
Probability of handicap
49.6%
Win probability
2.03
Expected goals
8-0
<0%
+8
<0%
7-0
0.1%
8-1
<0%
+7
0.1%
6-0
0.3%
7-1
0.1%
8-2
<0%
+6
0.4%
5-0
0.8%
6-1
0.4%
7-2
0.1%
8-3
<0%
+5
1.4%
4-0
2%
5-1
1.3%
6-2
0.3%
7-3
<0%
+4
3.7%
3-0
4%
4-1
3.1%
5-2
1%
6-3
0.2%
7-4
<0%
+3
8.2%
2-0
5.9%
3-1
6.1%
4-2
2.3%
5-3
0.5%
6-4
0.1%
+2
14.9%
1-0
5.8%
2-1
9%
3-2
4.6%
4-3
1.2%
5-4
0.2%
6-5
<0%
+1
20.9%
21.4%
Draw
0-0
2.9%
1-1
8.9%
2-2
6.8%
3-3
2.3%
4-4
0.5%
5-5
0.1%
0
21.4%
28.9%
Win probability
1.52
Expected goals
0-1
4.4%
1-2
6.7%
2-3
3.5%
3-4
0.9%
4-5
0.1%
5-6
0%
-1
15.6%
0-2
3.3%
1-3
3.4%
2-4
1.3%
3-5
0.3%
4-6
0%
-2
8.3%
0-3
1.7%
1-4
1.3%
2-5
0.4%
3-6
0.1%
-3
3.4%
0-4
0.6%
1-5
0.4%
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%
0-7
0%
-7
<0%
ELO progression
Next opponents in ELO points
Matches
Bayside Argonauts
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 04 Mar. 2017 |
BAF
4 - 1
SVF
58%
20%
22%
|
12 | 9 | 3 | 0 |
Matches
RMIT
|
1%
X%
2%
|
ELO | ELO Cont. | ▵ELO | ±ELO | |
|---|---|---|---|---|---|
| 04 Mar. 2017 |
DSF
1 - 3
RMI
37%
22%
41%
|
11 | 9 | 2 | 0 |