Beitar Jerusalem vs Maccabi Netanya: result 4-1 and analysis
Ligat Ha'alRegular Season - 7Kick-off on October 16, 2017 at 06:00 PM (UTC)Teddi Malcha Stadium, Jerusalem
Full time
What was the result of Beitar Jerusalem vs Maccabi Netanya?
Beitar Jerusalem won 4-1 on October 16, 2017.
Goalscorers
- 17′I. ShechterBeitar Jerusalem
- 57′A. KeitaMaccabi Netanya
- 74′Claudemir Ferreira da SilvaBeitar Jerusalem (pen.)
- 75′I. VeredBeitar Jerusalem
- 90′Y. BenayounBeitar Jerusalem
What is the recent form of both teams?
Over their last 15 matches in all competitions, Beitar Jerusalem have 9 wins, 4 draws and 2 defeats; Maccabi Netanya have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2017 | Bnei Sakhnin(away) | 2-3 | Ligat Ha'al |
| Sep 25, 2017 | Ironi Kiryat Shmona(home) | 1-1 | Ligat Ha'al |
| Sep 16, 2017 | Hapoel Haifa(home) | 3-3 | Ligat Ha'al |
| Sep 11, 2017 | Maccabi Petah Tikva(away) | 2-1 | Ligat Ha'al |
| Aug 28, 2017 | Ashdod(home) | 4-1 | Ligat Ha'al |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2017 | Maccabi Petah Tikva(home) | 4-0 | Ligat Ha'al |
| Sep 23, 2017 | Ashdod(away) | 3-0 | Ligat Ha'al |
| Sep 18, 2017 | Maccabi Tel Aviv(home) | 2-3 | Ligat Ha'al |
| Sep 10, 2017 | Hapoel Ra'anana(away) | 3-0 | Ligat Ha'al |
| Aug 26, 2017 | Hapoel Acre(home) | 2-2 | Ligat Ha'al |
How many goals should we expect?
Beitar Jerusalem score 2.3 and concede 1.3 goals per match over their last 15; Maccabi Netanya score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Beitar Jerusalem | 2.3 | 1.3 | 4 | 10/15 | 10/15 |
| Maccabi Netanya | 2.3 | 1.1 | 6 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Maccabi Netanya | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
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