Sereď vs Šamorín: result 2-1 and analysis
2. ligaRegular Season - 7Kick-off on September 10, 2017 at 02:30 PM (UTC)Športový futbalový štadión Sereď, Sereď
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What was the result of Sereď vs Šamorín?
Sereď won 2-1 on September 10, 2017.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Sereď have 3 wins, 0 draws and 3 defeats; Šamorín have 1, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2017 | Skalica(away) | 1-2 | 2. liga |
| Aug 27, 2017 | Nové Mesto nad Váhom(home) | 7-0 | 2. liga |
| Aug 19, 2017 | Komárno(away) | 6-1 | 2. liga |
| Aug 13, 2017 | Slavoj Trebišov(home) | 1-0 | 2. liga |
| Aug 5, 2017 | Inter Bratislava(away) | 1-2 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2017 | Žilina II(home) | 2-3 | 2. liga |
| Aug 26, 2017 | Podbrezová II(home) | 0-1 | 2. liga |
| Aug 19, 2017 | Skalica(away) | 0-2 | 2. liga |
| Aug 12, 2017 | Nové Mesto nad Váhom(home) | 1-3 | 2. liga |
| Aug 5, 2017 | Komárno(away) | 1-2 | 2. liga |
How many goals should we expect?
Sereď score 2.7 and concede 1.2 goals per match over their last 6; Šamorín score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sereď | 2.7 | 1.2 | 2 | 3/6 | 4/6 |
| Šamorín | 1.0 | 1.8 | 1 | 3/6 | 3/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Šamorín | 12 | 9 | 1 | 2 | 23 | 13 | 28 |
A question about Sereď vs Šamorín?
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