Maccabi Tel Aviv vs Zenit: result 3-4 and analysis
UEFA Europa LeagueGroup Stage - 1Kick-off on September 15, 2016 at 05:00 PM (UTC)Bloomfield Stadium, Tel-Aviv
Full time
What was the result of Maccabi Tel Aviv vs Zenit?
Zenit won 3-4 on September 15, 2016.
Goalscorers
- 26′H. MedunjaninMaccabi Tel Aviv
- 50′V. KjartanssonMaccabi Tel Aviv
- 70′H. MedunjaninMaccabi Tel Aviv
- 76′A. KokorinZenit
- 84′MaurícioZenit
- 86′GiulianoZenit
- 90′L. ĐorđevićZenit
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maccabi Tel Aviv have 8 wins, 2 draws and 5 defeats; Zenit 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 |
|---|---|---|---|
| Sep 11, 2016 | Beitar Jerusalem(home) | 2-2 | Ligat Ha'al |
| Aug 28, 2016 | Ashdod(away) | 2-1 | Ligat Ha'al |
| Aug 25, 2016 | HNK Hajduk Split(away) | 2-4 | UEFA Europa League |
| Aug 21, 2016 | Hapoel Kfar Saba(home) | 3-1 | Ligat Ha'al |
| Aug 18, 2016 | HNK Hajduk Split(home) | 2-1 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Arsenal Tula(away) | 5-0 | Premier League |
| Aug 27, 2016 | Amkar(home) | 3-0 | Premier League |
| Aug 20, 2016 | CSKA Moscow(home) | 1-1 | Premier League |
| Aug 12, 2016 | FC Rostov(home) | 3-2 | Premier League |
| Aug 6, 2016 | FC UFA(away) | 0-0 | Premier League |
How many goals should we expect?
Maccabi Tel Aviv score 1.6 and concede 1.5 goals per match over their last 15; Zenit score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maccabi Tel Aviv | 1.6 | 1.5 | 2 | 10/15 | 11/15 |
| Zenit | 1.9 | 0.9 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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