Sereď vs Senica: result 2-1 and analysis
Super LigaRegular Season - 2Kick-off on July 28, 2018 at 05:00 PM (UTC)Športový futbalový štadión Sereď, Sereď
Full time
What was the result of Sereď vs Senica?
Sereď won 2-1 on July 28, 2018.
Goalscorers
- 43′D. Segbé-AzankpoSenica
- 75′A. BáezSereď
- 79′N. GatarićSereď
Official lineup for Sereď vs Senica
The starting elevens fielded at kick-off.
Sereď
- 9Vahagn Militosyan
- 10N. Gatarić
- 11Lubomir Ulrich
- 14A. Morong
- 7A. Báez
- 19D. Ventúra
- 5M. Mečiar
- 6Ľ. Michalík
- 17J. Menich
- 21Tidiane Djibi Ba
- 1Pavol Penksa
Senica
- 19D. Segbé-Azankpo
- 30N. Solano
- 5Jakub Krč
- 7José Luis Mendes Lopes
- 10F. Castañeda
- 13M. Tešija
- 2E. Otrísal
- 14J. Jaramillo
- 23Roberto Dias Correia Filho
- 28J. Kotula
- 18Federico Taborda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sereď have 11 wins, 4 draws and 0 defeats; Senica have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Ružomberok(away) | 0-0 | Super Liga |
| May 20, 2018 | Lokomotíva Zvolen(home) | 4-1 | 2. liga |
| May 13, 2018 | Spišská Nová Ves(away) | 3-1 | 2. liga |
| May 6, 2018 | Pohronie(home) | 2-1 | 2. liga |
| Apr 28, 2018 | Liptovský Mikuláš(away) | 0-0 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Spartak Trnava(home) | 1-0 | Super Liga |
How many goals should we expect?
Sereď score 2.4 and concede 0.3 goals per match over their last 15; Senica score 1.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sereď | 2.4 | 0.3 | 11 | 4/15 | 9/15 |
| Senica | 1.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Sereď vs Senica?
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