Spartak Trnava vs Zemplín Michalovce: result 3-0 and analysis
Super LigaRegular Season - 4Kick-off on August 11, 2018 at 05:00 PM (UTC)CITY ARENA – Štadión Antona Malatinského, Trnava
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What was the result of Spartak Trnava vs Zemplín Michalovce?
Spartak Trnava won 3-0 on August 11, 2018.
Goalscorers
- 11′F. MiesenböckSpartak Trnava
- 67′I. HladíkSpartak Trnava
- 82′A. SlobodaSpartak Trnava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartak Trnava have 7 wins, 4 draws and 4 defeats; Zemplín Michalovce have 0, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2018 | FK Crvena Zvezda(away) | 1-1 | UEFA Champions League |
| Aug 4, 2018 | Podbrezová(away) | 0-1 | Super Liga |
| Jul 31, 2018 | Legia Warszawa(home) | 0-1 | UEFA Champions League |
| Jul 28, 2018 | Zlaté Moravce(home) | 1-0 | Super Liga |
| Jul 24, 2018 | Legia Warszawa(away) | 2-0 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2018 | Slovan Bratislava(home) | 1-2 | Super Liga |
| Jul 29, 2018 | Dunajska Streda(away) | 1-4 | Super Liga |
How many goals should we expect?
Spartak Trnava score 1.1 and concede 0.6 goals per match over their last 15; Zemplín Michalovce score 1.0 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Trnava | 1.1 | 0.6 | 7 | 4/15 | 2/15 |
| Zemplín Michalovce | 1.0 | 3.0 | 0 | 2/2 | 2/2 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Spartak Trnava sit 1st in Super Liga (13 points from 5 matches) and Zemplín Michalovce sit 8th (4 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Spartak Trnava | 5 | 4 | 1 | 0 | 12 | 2 | 13 |
| 8 | Zemplín Michalovce | 5 | 1 | 1 | 3 | 3 | 6 | 4 |
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