Kazma vs Al Jahra: result 1-1 and analysis
Premier LeagueRegular Season - 7Kick-off on February 7, 2012 at 01:40 PM (UTC)Al-Sadaqua Walsalam Stadium, Kuwait City
Full time
What was the result of Kazma vs Al Jahra?
Kazma and Al Jahra drew 1-1 on February 7, 2012.
Goalscorers
- 54′Mashari Al AzmiKazma
- 79′Mohammed Al AjmiAl Jahra
What is the recent form of both teams?
Over their last 6 matches in all competitions, Kazma have 3 wins, 0 draws and 3 defeats; Al Jahra have 3, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2012 | Al Arabi(away) | 1-0 | Premier League |
| Jan 27, 2012 | Al Kuwait(away) | 1-2 | Premier League |
| Jan 21, 2012 | Al Salmiyah(home) | 3-0 | Premier League |
| Jan 14, 2012 | Al Shabab(away) | 3-2 | Premier League |
| Jan 7, 2012 | Al Nasar(home) | 2-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2012 | Al Nasar(home) | 2-1 | Premier League |
| Jan 28, 2012 | Al Shabab(away) | 1-1 | Premier League |
| Jan 20, 2012 | Al Qadsia(home) | 0-2 | Premier League |
| Jan 13, 2012 | Al Kuwait(away) | 1-3 | Premier League |
| Jan 7, 2012 | Al Arabi(away) | 1-0 | Premier League |
How many goals should we expect?
Kazma score 1.7 and concede 1.3 goals per match over their last 6; Al Jahra score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kazma | 1.7 | 1.3 | 2 | 3/6 | 4/6 |
| Al Jahra | 1.2 | 1.2 | 2 | 3/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Kazma sit 3rd in Premier League (14 points from 7 matches) and Al Jahra sit 9th (7 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Kazma | 7 | 4 | 2 | 1 | 12 | 8 | 14 |
| 9 | Al Jahra | 8 | 2 | 1 | 5 | 8 | 9 | 7 |
A question about Kazma vs Al Jahra?
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