Kazma vs Burgan: result 3-0 and analysis
Premier LeagueRegular Season - 15Kick-off on March 10, 2017 at 01:05 PM (UTC)Al-Sadaqua Walsalam Stadium, Kuwait City
Full time
What was the result of Kazma vs Burgan?
Kazma won 3-0 on March 10, 2017.
Goalscorers
- 23′Garlesaon SantanaKazma
- 49′Garlesaon SantanaKazma
- 62′Garlesaon SantanaKazma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kazma have 8 wins, 4 draws and 3 defeats; Burgan have 2, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2017 | Al Tadhamon(home) | 1-1 | Premier League |
| Mar 2, 2017 | Al Arabi(away) | 0-0 | Premier League |
| Feb 26, 2017 | Al Sahel(home) | 1-1 | Premier League |
| Jan 7, 2017 | Khaitan(away) | 4-1 | Premier League |
| Jan 3, 2017 | Al Kuwait(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2017 | Al Jahra(home) | 0-2 | Premier League |
| Feb 23, 2017 | Al Tadhamon(away) | 0-2 | Premier League |
| Jan 7, 2017 | Al Arabi(away) | 1-2 | Premier League |
| Jan 3, 2017 | Al Sahel(home) | 3-2 | Premier League |
| Dec 29, 2016 | Khaitan(away) | 3-5 | Premier League |
How many goals should we expect?
Kazma score 1.7 and concede 0.7 goals per match over their last 15; Burgan score 0.8 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kazma | 1.7 | 0.7 | 5 | 7/15 | 6/15 |
| Burgan | 0.8 | 3.4 | 1 | 6/13 | 9/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Kazma | 4 | 2 | 2 | 0 | 7 | 4 | 8 |
A question about Kazma vs Burgan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy