FK Zalgiris Vilnius vs VPS: result 1-0 and analysis
UEFA Europa Conference League1st Qualifying RoundKick-off on July 18, 2024 at 04:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of FK Zalgiris Vilnius vs VPS?
FK Zalgiris Vilnius won 1-0 on July 18, 2024.
Goalscorers
- 45′A. FofanaFK Zalgiris Vilnius
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Zalgiris Vilnius have 9 wins, 3 draws and 3 defeats; VPS have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2024 | VPS(away) | 2-1 | UEFA Europa Conference League |
| Jul 5, 2024 | Kauno Žalgiris(away) | 0-1 | A Lyga |
| Jun 30, 2024 | Hegelmann Litauen(away) | 1-3 | A Lyga |
| Jun 26, 2024 | Banga(away) | 2-0 | A Lyga |
| Jun 23, 2024 | Suduva Marijampole(home) | 4-0 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2024 | FK Zalgiris Vilnius(home) | 1-2 | UEFA Europa Conference League |
| Jul 6, 2024 | EIF(home) | 2-3 | Veikkausliiga |
| Jun 28, 2024 | Inter Turku(away) | 1-3 | Veikkausliiga |
| Jun 25, 2024 | SJK(away) | 1-5 | Suomen Cup |
| Jun 19, 2024 | AC Oulu(home) | 1-1 | Veikkausliiga |
What does the head-to-head say?
Across the last 1 meetings: 1 FK Zalgiris Vilnius win(s), 0 draw(s), 0 VPS win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2024 | VPS 1-2 FK Zalgiris Vilnius | UEFA Europa Conference League |
Last archived meeting: VPS vs FK Zalgiris Vilnius on Jul 11, 2024
How many goals should we expect?
FK Zalgiris Vilnius score 1.8 and concede 0.9 goals per match over their last 15; VPS score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Zalgiris Vilnius | 1.8 | 0.9 | 5 | 9/15 | 10/15 |
| VPS | 1.7 | 1.7 | 2 | 13/15 | 12/15 |
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