Kazma vs Khaitan: result 1-0 and analysis
Premier LeagueRegular Season - 24Kick-off on April 11, 2014 at 02:25 PM (UTC)Al-Sadaqua Walsalam Stadium, Kuwait City
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What was the result of Kazma vs Khaitan?
Kazma won 1-0 on April 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kazma have 12 wins, 2 draws and 1 defeat; Khaitan have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2014 | Al Fahaheel(away) | 1-0 | Premier League |
| Mar 29, 2014 | Al Shabab(away) | 2-1 | Premier League |
| Mar 22, 2014 | Yarmouk(home) | 1-0 | Premier League |
| Mar 14, 2014 | Al Sulaibikhat(away) | 1-1 | Premier League |
| Mar 7, 2014 | Al Tadhamon(away) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2014 | Al Salmiyah(home) | 1-4 | Premier League |
| Mar 28, 2014 | Yarmouk(away) | 5-0 | Premier League |
| Mar 20, 2014 | Al Arabi(home) | 0-8 | Premier League |
| Mar 15, 2014 | Al Qadsia(away) | 1-2 | Premier League |
| Mar 7, 2014 | Al Fahaheel(home) | 3-0 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Kazma win, 0 draws, 0 Khaitan wins.
| Date | Score | Competition |
|---|---|---|
| Dec 7, 2013 | Khaitan 0-1 Kazma | Premier League |
How many goals should we expect?
Kazma score 2.0 and concede 0.9 goals per match over their last 15; Khaitan score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kazma | 2.0 | 0.9 | 5 | 10/15 | 8/15 |
| Khaitan | 1.1 | 1.9 | 5 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kazma | 4 | 2 | 2 | 0 | 7 | 4 | 8 |
A question about Kazma vs Khaitan?
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