Nevėžis vs BFA: result 4-1 and analysis
1 LygaRegular Season - 3Kick-off on June 19, 2020 at 02:30 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs BFA?
Nevėžis won 4-1 on June 19, 2020.
Goalscorers
- 36′?Nevėžis
- 45′Aretas GėgžnaNevėžis
- 48′Aretas GėgžnaNevėžis
- 53′?Nevėžis
- 64′?BFA (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 5 wins, 3 draws and 7 defeats; BFA have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2020 | BFA(away) | 0-1 | Cup |
| Jun 12, 2020 | Trakai II(away) | 2-3 | 1 Lyga |
| Jun 5, 2020 | Žalgiris II(home) | 1-1 | 1 Lyga |
| Oct 27, 2019 | Jonava(home) | 3-2 | 1 Lyga |
| Oct 20, 2019 | Dainava(home) | 0-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2020 | Nevėžis(home) | 1-0 | Cup |
| Jun 13, 2020 | Šiauliai(home) | 0-6 | 1 Lyga |
| Jun 6, 2020 | Hegelmann Litauen(away) | 0-4 | 1 Lyga |
| Oct 27, 2019 | Pakruojis(home) | 9-0 | 1 Lyga |
| Oct 23, 2019 | Kupiškis(home) | 0-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Nevėžis win(s), 0 draw(s), 1 BFA win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 16, 2020 | BFA 1-0 Nevėžis | Cup |
| Aug 16, 2019 | Nevėžis 1-0 BFA | 1 Lyga |
| Apr 22, 2019 | BFA 0-1 Nevėžis | 1 Lyga |
How many goals should we expect?
Nevėžis score 1.5 and concede 1.8 goals per match over their last 15; BFA score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 1.5 | 1.8 | 2 | 9/15 | 9/15 |
| BFA | 1.6 | 2.1 | 4 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | BFA | 21 | 11 | 2 | 8 | 31 | 29 | 35 |
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