Dainava vs Šilas: result 4-1 and analysis
1 LygaRegular Season - 28Kick-off on October 28, 2022 at 04:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Šilas?
Dainava won 4-1 on October 28, 2022.
Goalscorers
- 30′?Šilas
- 34′S. SorokinDainava (pen.)
- 34′?Dainava
- 40′?Dainava
- 75′?Dainava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 11 wins, 1 draws and 3 defeats; Šilas have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Panevėžys II(away) | 3-1 | 1 Lyga |
| Oct 17, 2022 | Žalgiris II(away) | 2-3 | 1 Lyga |
| Oct 8, 2022 | Banga II(away) | 4-0 | 1 Lyga |
| Sep 30, 2022 | Atmosfera(home) | 5-0 | 1 Lyga |
| Sep 17, 2022 | Babrungas(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2022 | Nevėžis(home) | 1-0 | 1 Lyga |
| Oct 14, 2022 | FA Šiauliai II(away) | 1-0 | 1 Lyga |
| Oct 8, 2022 | Panevėžys II(away) | 0-3 | 1 Lyga |
| Sep 30, 2022 | Žalgiris II(home) | 2-0 | 1 Lyga |
| Sep 16, 2022 | Banga II(away) | 3-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Dainava win(s), 0 draw(s), 2 Šilas win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2022 | Šilas 0-2 Dainava | 1 Lyga |
| Sep 10, 2016 | Šilas 6-0 Dainava | 1 Lyga |
| May 21, 2016 | Dainava 1-2 Šilas | 1 Lyga |
How many goals should we expect?
Dainava score 2.7 and concede 1.0 goals per match over their last 15; Šilas score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.7 | 1.0 | 5 | 10/15 | 12/15 |
| Šilas | 1.5 | 1.5 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
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