Sereď vs Zemplín Michalovce: result 2-1 and analysis
Super LigaMatchday 8Kick-off on September 15, 2018 at 05:00 PM (UTC)Športový futbalový štadión Sereď, Sereď
Full time
What was the result of Sereď vs Zemplín Michalovce?
Sereď won 2-1 on September 15, 2018.
Goalscorers
- 13′I. ŽofčákZemplín Michalovce
- 48′N. GatarićSereď
- 89′N. GatarićSereď
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sereď have 8 wins, 3 draws and 4 defeats; Zemplín Michalovce have 1, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Dunajska Streda(away) | 0-5 | Super Liga |
| Aug 25, 2018 | Podbrezová(home) | 1-2 | Super Liga |
| Aug 18, 2018 | Žilina(away) | 1-2 | Super Liga |
| Aug 11, 2018 | Zlaté Moravce(home) | 2-0 | Super Liga |
| Aug 5, 2018 | AS Trencin(away) | 1-5 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Podbrezová(home) | 2-0 | Super Liga |
| Aug 25, 2018 | Zlaté Moravce(away) | 0-2 | Super Liga |
| Aug 21, 2018 | Žilina(home) | 0-1 | Super Liga |
| Aug 18, 2018 | Senica(home) | 1-1 | Super Liga |
| Aug 11, 2018 | Spartak Trnava(away) | 0-3 | Super Liga |
How many goals should we expect?
Sereď score 1.7 and concede 1.2 goals per match over their last 15; Zemplín Michalovce score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sereď | 1.7 | 1.2 | 7 | 7/15 | 10/15 |
| Zemplín Michalovce | 0.7 | 1.9 | 1 | 3/7 | 3/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Zemplín Michalovce | 14 | 4 | 2 | 8 | 12 | 25 | 14 |
A question about Sereď vs Zemplín Michalovce?
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