Ironi Kiryat Shmona vs Hapoel Beer Sheva: result 0-2 and analysis
Ligat Ha'alRegular Season - 7Kick-off on October 24, 2016 at 04:30 PM (UTC)Kiryat-Shmona Municipal Stadium, Kiryat-Shmona
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What was the result of Ironi Kiryat Shmona vs Hapoel Beer Sheva?
Hapoel Beer Sheva won 0-2 on October 24, 2016.
Goalscorers
- 59′B. SaharHapoel Beer Sheva
- 78′B. SaharHapoel Beer Sheva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ironi Kiryat Shmona have 3 wins, 8 draws and 4 defeats; Hapoel Beer Sheva 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 1, 2016 | Maccabi Haifa(away) | 0-0 | Ligat Ha'al |
| Sep 24, 2016 | Bnei Sakhnin(home) | 2-2 | Ligat Ha'al |
| Sep 17, 2016 | Hapoel Tel Aviv(away) | 3-3 | Ligat Ha'al |
| Sep 10, 2016 | Hapoel Ra'anana(home) | 0-0 | Ligat Ha'al |
| Aug 28, 2016 | Beitar Jerusalem(away) | 2-2 | Ligat Ha'al |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2016 | Sparta Praha(home) | 0-1 | UEFA Europa League |
| Oct 15, 2016 | Maccabi Petah Tikva(home) | 5-0 | Ligat Ha'al |
| Sep 29, 2016 | Southampton(home) | 0-0 | UEFA Europa League |
| Sep 25, 2016 | Bnei Yehuda(away) | 3-0 | Ligat Ha'al |
| Sep 19, 2016 | Maccabi Haifa(away) | 1-2 | Ligat Ha'al |
How many goals should we expect?
Ironi Kiryat Shmona score 1.3 and concede 1.3 goals per match over their last 15; Hapoel Beer Sheva score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ironi Kiryat Shmona | 1.3 | 1.3 | 5 | 8/15 | 8/15 |
| Hapoel Beer Sheva | 1.6 | 0.7 | 10 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Ironi Kiryat Shmona | 1 | 0 | 0 | 1 | 1 | 2 | 0 |
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