Kazma vs Al Sahel: result 2-0 and analysis
Premier LeagueRegular Season - 18Kick-off on February 22, 2014 at 12:45 PM (UTC)Al-Sadaqua Walsalam Stadium, Kuwait City
Full time
What was the result of Kazma vs Al Sahel?
Kazma won 2-0 on February 22, 2014.
Goalscorers
- 54′Yousef Al SulaimanKazma (pen.)
- 63′Talal Al FadhilKazma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kazma have 9 wins, 4 draws and 2 defeats; Al Sahel have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2014 | Al Nasar(away) | 2-1 | Premier League |
| Feb 8, 2014 | Al Salmiyah(home) | 3-2 | Premier League |
| Jan 29, 2014 | Al Kuwait(home) | 2-3 | Premier League |
| Jan 23, 2014 | Al Arabi(away) | 2-1 | Premier League |
| Dec 20, 2013 | Al Jahra(home) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2014 | Al Fahaheel(home) | 1-0 | Premier League |
| Feb 7, 2014 | Al Nasar(home) | 1-1 | Premier League |
| Jan 25, 2014 | Khaitan(away) | 0-1 | Premier League |
| Jan 14, 2014 | Al Qadsia(away) | 0-1 | Premier League |
| Dec 21, 2013 | Al Arabi(away) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 Kazma win(s), 0 draw(s), 0 Al Sahel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2013 | Al Sahel 1-2 Kazma | Premier League |
How many goals should we expect?
Kazma score 2.0 and concede 1.3 goals per match over their last 15; Al Sahel score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kazma | 2.0 | 1.3 | 3 | 12/15 | 10/15 |
| Al Sahel | 1.1 | 1.5 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kazma | 20 | 8 | 7 | 5 | 23 | 20 | 31 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy