Senica vs Dunajska Streda: result 1-2 and analysis
Super LigaRegular Season - 10Kick-off on September 29, 2018 at 05:00 PM (UTC)OMS Arena, Senica
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What was the result of Senica vs Dunajska Streda?
Dunajska Streda won 1-2 on September 29, 2018.
Goalscorers
- 56′Z. KalmárDunajska Streda (pen.)
- 61′Jean DerettiSenica
- 85′K. VidaDunajska Streda
What is the recent form of both teams?
Over their last 9 matches in all competitions, Senica have 1 win, 3 draws and 5 defeats; Dunajska Streda have 6, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Žilina(away) | 0-5 | Super Liga |
| Sep 15, 2018 | AS Trencin(home) | 0-2 | Super Liga |
| Sep 1, 2018 | Ružomberok(away) | 0-4 | Super Liga |
| Aug 25, 2018 | Nitra(home) | 1-1 | Super Liga |
| Aug 18, 2018 | Zemplín Michalovce(away) | 1-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2018 | Spartak Trnava(home) | 3-2 | Super Liga |
| Sep 15, 2018 | Slovan Bratislava(away) | 2-3 | Super Liga |
| Sep 1, 2018 | Sereď(home) | 5-0 | Super Liga |
| Aug 25, 2018 | Žilina(home) | 0-0 | Super Liga |
| Aug 19, 2018 | AS Trencin(away) | 3-3 | Super Liga |
How many goals should we expect?
Senica score 0.6 and concede 2.2 goals per match over their last 9; Dunajska Streda score 2.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Senica | 0.6 | 2.2 | 1 | 4/9 | 4/9 |
| Dunajska Streda | 2.2 | 1.8 | 2 | 11/13 | 11/13 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Dunajska Streda | 9 | 7 | 2 | 0 | 28 | 5 | 23 |
A question about Senica vs Dunajska Streda?
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