Šilas vs Dainava: result 0-2 and analysis
1 LygaRegular Season - 13Kick-off on June 23, 2022 at 04:00 PM (UTC)Prienų stadionas, Prienai
Full time
What was the result of Šilas vs Dainava?
Dainava won 0-2 on June 23, 2022.
Goalscorers
- 18′K. SilichDainava
- 89′?Dainava (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 10 wins, 2 draws and 3 defeats; Dainava have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2022 | Nevėžis(away) | 1-3 | 1 Lyga |
| Jun 10, 2022 | FA Šiauliai II(home) | 5-0 | 1 Lyga |
| Jun 3, 2022 | Panevėžys II(home) | 6-0 | 1 Lyga |
| May 28, 2022 | Žalgiris II(away) | 0-1 | 1 Lyga |
| May 21, 2022 | Banga II(home) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2022 | Panevėžys II(home) | 2-2 | 1 Lyga |
| Jun 10, 2022 | Žalgiris II(home) | 2-2 | 1 Lyga |
| Jun 3, 2022 | Banga II(home) | 3-0 | 1 Lyga |
| May 28, 2022 | Atmosfera(away) | 3-0 | 1 Lyga |
| May 22, 2022 | Babrungas(home) | 3-2 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 2 Šilas wins, 0 draws, 0 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Šilas 6-0 Dainava | 1 Lyga |
| May 21, 2016 | Dainava 1-2 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.7 and concede 1.2 goals per match over their last 15; Dainava score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.7 | 1.2 | 5 | 9/15 | 11/15 |
| Dainava | 2.1 | 1.2 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
A question about Šilas vs Dainava?
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