Apoel Nicosia vs Suduva Marijampole: result 1-0 and analysis
UEFA Champions League1st Qualifying RoundKick-off on July 17, 2018 at 05:00 PM (UTC)Neo GSP, Levkosía
Full time
What was the result of Apoel Nicosia vs Suduva Marijampole?
Apoel Nicosia won 1-0 on July 17, 2018.
Goalscorers
- 20′Mickaël Franck PotéApoel Nicosia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Apoel Nicosia have 4 wins, 3 draws and 8 defeats; Suduva Marijampole have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2018 | Suduva Marijampole(away) | 1-3 | UEFA Champions League |
| Dec 6, 2017 | Tottenham(away) | 0-3 | UEFA Champions League |
| Nov 21, 2017 | Real Madrid(home) | 0-6 | UEFA Champions League |
| Nov 1, 2017 | Borussia Dortmund(away) | 1-1 | UEFA Champions League |
| Oct 17, 2017 | Borussia Dortmund(home) | 1-1 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2018 | Apoel Nicosia(home) | 3-1 | UEFA Champions League |
| Jul 4, 2018 | Kauno Žalgiris(away) | 0-1 | A Lyga |
| Jul 1, 2018 | Kauno Žalgiris(away) | 3-0 | A Lyga |
| Jun 27, 2018 | FK Zalgiris Vilnius(home) | 0-1 | A Lyga |
| Jun 20, 2018 | Jonava(home) | 2-0 | A Lyga |
What does the head-to-head say?
Across the last 1 meetings: 0 Apoel Nicosia win(s), 0 draw(s), 1 Suduva Marijampole win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2018 | Suduva Marijampole 3-1 Apoel Nicosia | UEFA Champions League |
Last archived meeting: Suduva Marijampole vs Apoel Nicosia on Jul 11, 2018
How many goals should we expect?
Apoel Nicosia score 0.7 and concede 1.5 goals per match over their last 15; Suduva Marijampole score 2.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Apoel Nicosia | 0.7 | 1.5 | 5 | 3/15 | 6/15 |
| Suduva Marijampole | 2.0 | 0.5 | 8 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
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
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