Correct Score Predictions
Statistical analysis using Poisson distribution & team performance data
Melbourne City
VS
Buriram United
1.03
Expected Goals (Home)
0.79
Expected Goals (Away)
How it works: We use Poisson distribution based on team statistics (goals scored/conceded per game) to calculate the probability of each possible score. Higher percentages indicate more likely outcomes.
Most Likely Scores
TOP PICK
1-0
16.7%
Home Win
0-0
16.2%
Draw
1-1
13.2%
Draw
0-1
12.7%
Away Win
2-0
8.7%
Home Win
2-1
6.8%
Home Win
1-2
5.2%
Away Win
0-2
5.0%
Away Win
3-0
3.0%
Home Win
2-2
2.7%
Draw
3-1
2.3%
Home Win
1-3
1.4%
Away Win
Home Win Scores
1-0
16.7%
2-0
8.7%
2-1
6.8%
3-0
3.0%
3-1
2.3%
3-2
0.9%
4-0
0.8%
4-1
0.6%
4-2
0.2%
5-0
0.2%
5-1
0.1%
4-3
0.1%
Draw Scores
0-0
16.2%
1-1
13.2%
2-2
2.7%
3-3
0.2%
4-4
0.0%
5-5
0.0%
Away Win Scores
0-1
12.7%
1-2
5.2%
0-2
5.0%
1-3
1.4%
0-3
1.3%
2-3
0.7%
1-4
0.3%
0-4
0.3%
2-4
0.1%
3-4
0.0%
1-5
0.0%
0-5
0.0%
Most Common Scores in H2H (Last 5 Matches)
0-2 1x
0-0 1x
0-1 1x
2-1 1x
1-1 1x
Team Statistics (Based on All-Time H2H: 5 matches)
Melbourne City
H2H Matches
5
Goals Scored
5
Goals Conceded
3
Avg Goals/Game
1.00
Avg Conceded/Game
0.60
Buriram United
H2H Matches
5
Goals Scored
3
Goals Conceded
5
Avg Goals/Game
0.60
Avg Conceded/Game
1.00