Šilas vs Garliava: result 0-1 and analysis
1 LygaRegular Season - 29Kick-off on November 5, 2022 at 11:00 AM (UTC)Prienų stadionas, Prienai
Full time
What was the result of Šilas vs Garliava?
Garliava won 0-1 on November 5, 2022.
Goalscorers
- 90′?Garliava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 9 wins, 1 draw and 5 defeats; Garliava 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 |
|---|---|---|---|
| Oct 28, 2022 | Dainava(away) | 1-4 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2022 | Panevėžys II(home) | 0-2 | 1 Lyga |
| Oct 22, 2022 | Žalgiris II(away) | 0-1 | 1 Lyga |
| Oct 14, 2022 | Banga II(home) | 1-0 | 1 Lyga |
| Oct 7, 2022 | Atmosfera(away) | 3-2 | 1 Lyga |
| Oct 1, 2022 | Babrungas(home) | 2-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Šilas wins, 1 draw, 0 Garliava wins.
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2022 | Garliava 2-2 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 1.4 and concede 1.6 goals per match over their last 15; Garliava score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 1.4 | 1.6 | 5 | 8/15 | 8/15 |
| Garliava | 1.3 | 1.5 | 5 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Garliava | 26 | 7 | 5 | 14 | 29 | 31 | 26 |
A question about Šilas vs Garliava?
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