Spartak Trnava vs Sereď: result 2-1 and analysis
Super LigaRegular Season - 11Kick-off on October 7, 2018 at 03:00 PM (UTC)CITY ARENA – Štadión Antona Malatinského, Trnava
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What was the result of Spartak Trnava vs Sereď?
Spartak Trnava won 2-1 on October 7, 2018.
Goalscorers
- 22′A. MorongSereď
- 28′Marek BakošSpartak Trnava
- 47′B. GodálSpartak Trnava (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartak Trnava have 3 wins, 4 draws and 8 defeats; Sereď have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2018 | Fenerbahçe(away) | 0-2 | UEFA Europa League |
| Sep 29, 2018 | Slovan Bratislava(home) | 1-2 | Super Liga |
| Sep 23, 2018 | Dunajska Streda(away) | 2-3 | Super Liga |
| Sep 20, 2018 | Anderlecht(home) | 1-0 | UEFA Europa League |
| Sep 15, 2018 | Žilina(home) | 1-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Nitra(home) | 2-1 | Super Liga |
| Sep 22, 2018 | Slovan Bratislava(away) | 1-2 | Super Liga |
| Sep 15, 2018 | Zemplín Michalovce(home) | 2-1 | Super Liga |
| Sep 1, 2018 | Dunajska Streda(away) | 0-5 | Super Liga |
| Aug 25, 2018 | Podbrezová(home) | 1-2 | Super Liga |
How many goals should we expect?
Spartak Trnava score 0.9 and concede 1.1 goals per match over their last 15; Sereď score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Trnava | 0.9 | 1.1 | 5 | 6/15 | 5/15 |
| Sereď | 1.8 | 1.5 | 4 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Spartak Trnava | 10 | 6 | 3 | 1 | 24 | 11 | 21 |
A question about Spartak Trnava vs Sereď?
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