Maccabi Tel Aviv vs KR Reykjavik: result 3-1 and analysis
UEFA Europa League2nd Qualifying RoundKick-off on July 13, 2017 at 03:00 PM (UTC)Bloomfield Stadium, Tel-Aviv
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What was the result of Maccabi Tel Aviv vs KR Reykjavik?
Maccabi Tel Aviv won 3-1 on July 13, 2017.
Goalscorers
- 58′Pálmi Rafn PálmasonKR Reykjavik
- 65′A. SchoenfeldMaccabi Tel Aviv
- 78′V. KjartanssonMaccabi Tel Aviv
- 82′O. AtziliMaccabi Tel Aviv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maccabi Tel Aviv have 10 wins, 1 draws and 4 defeats; KR Reykjavik have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | Tirana(away) | 3-0 | UEFA Europa League |
| Jun 29, 2017 | Tirana(home) | 2-0 | UEFA Europa League |
| May 20, 2017 | Beitar Jerusalem(home) | 0-2 | Ligat Ha'al |
| May 14, 2017 | Maccabi Petah Tikva(away) | 1-2 | Ligat Ha'al |
| May 7, 2017 | Maccabi Haifa(away) | 2-0 | Ligat Ha'al |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | SJK(away) | 2-0 | UEFA Europa League |
| Jun 29, 2017 | SJK(home) | 0-0 | UEFA Europa League |
| Jun 24, 2017 | KA Akureyri(away) | 3-2 | Úrvalsdeild |
| Jun 19, 2017 | Breidablik(home) | 1-1 | Úrvalsdeild |
| Jun 15, 2017 | IBV Vestmannaeyjar(away) | 1-3 | Úrvalsdeild |
How many goals should we expect?
Maccabi Tel Aviv score 1.7 and concede 0.7 goals per match over their last 15; KR Reykjavik score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maccabi Tel Aviv | 1.7 | 0.7 | 8 | 5/15 | 7/15 |
| KR Reykjavik | 1.5 | 1.1 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 36 | Maccabi Tel Aviv | 8 | 0 | 1 | 7 | 2 | 22 | 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