Maccabi Shaarayim vs Ironi Kuseife: result 0-1 and analysis
Liga AlefSouth B - 4Kick-off on December 11, 2020 at 10:45 AM (UTC)Etstony Stadium, Rehovot
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What was the result of Maccabi Shaarayim vs Ironi Kuseife?
Ironi Kuseife won 0-1 on December 11, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maccabi Shaarayim have 4 wins, 5 draws and 6 defeats; Ironi Kuseife have 1, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2020 | Hapoel Ashkelon(away) | 1-1 | Liga Alef |
| Nov 27, 2020 | Nordia Jerusalem(away) | 1-0 | Liga Alef |
| Mar 6, 2020 | Maccabi Yavne(home) | 0-2 | Liga Alef |
| Feb 28, 2020 | Maccabi Kabilio Jaffa(away) | 0-1 | Liga Alef |
| Feb 21, 2020 | Hapoel Bik'at HaYarden(home) | 1-1 | Liga Alef |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2020 | Hapoel Marmorek(home) | 0-1 | Liga Alef |
| Nov 27, 2020 | Hapoel Bik'at HaYarden(away) | 1-4 | Liga Alef |
| Nov 23, 2020 | Nordia Jerusalem(home) | 0-2 | State Cup |
| Sep 16, 2019 | Maccabi Ironi Sderot(away) | 4-5 | State Cup |
| Aug 30, 2019 | Tzeirey Rahat(away) | 4-1 | State Cup |
How many goals should we expect?
Maccabi Shaarayim score 0.6 and concede 1.1 goals per match over their last 15; Ironi Kuseife score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maccabi Shaarayim | 0.6 | 1.1 | 6 | 4/15 | 3/15 |
| Ironi Kuseife | 1.5 | 2.3 | 0 | 3/6 | 3/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Maccabi Shaarayim | 30 | 3 | 9 | 18 | 24 | 46 | 18 |
A question about Maccabi Shaarayim vs Ironi Kuseife?
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