Kalaâ Sport vs M'saken: result 0-1 and analysis
Ligue 2Regular Season - 3Kick-off on November 6, 2022 at 01:30 PM (UTC)Stade Municipal Kalâa Seghira, Kalâa Seghira
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What was the result of Kalaâ Sport vs M'saken?
M'saken won 0-1 on November 6, 2022.
Goalscorers
- 10′?M'saken
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalaâ Sport have 7 wins, 3 draws and 5 defeats; M'saken have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2022 | EM Mahdia(away) | 2-0 | Ligue 2 |
| Oct 23, 2022 | Moknine(home) | 1-0 | Ligue 2 |
| Apr 14, 2022 | EO Sidi Bouzid(away) | 0-3 | Ligue 2 |
| Apr 10, 2022 | AS Gabes(away) | 1-0 | Ligue 2 |
| Apr 7, 2022 | Djerba(home) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Moknine(away) | 1-0 | Ligue 2 |
| Oct 23, 2022 | Djerba(home) | 2-1 | Ligue 2 |
| Jun 15, 2022 | Kosovo U19(home) | 0-2 | Cup |
| Jun 8, 2022 | ES Tunis(home) | 1-1 | Cup |
| Jun 1, 2022 | Magel Bel Abbès(away) | 2-1 | Cup |
How many goals should we expect?
Kalaâ Sport score 0.9 and concede 0.7 goals per match over their last 15; M'saken score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalaâ Sport | 0.9 | 0.7 | 9 | 4/15 | 4/15 |
| M'saken | 1.4 | 0.9 | 5 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kalaâ Sport sit 13th in Ligue 2 (9 points from 6 matches) and M'saken sit 2nd (14 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | M'saken | 6 | 4 | 2 | 0 | 10 | 4 | 14 |
| 13 | Kalaâ Sport | 6 | 3 | 0 | 3 | 6 | 5 | 9 |
A question about Kalaâ Sport vs M'saken?
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