Šilas vs Babrungas: result 3-1 and analysis
1 LygaRegular Season - 6Kick-off on April 30, 2022 at 12:00 PM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Babrungas?
Šilas won 3-1 on April 30, 2022.
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; Babrungas have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2022 | Nevėžis(away) | 2-1 | Cup |
| Apr 18, 2022 | Trakai II(away) | 1-5 | 1 Lyga |
| Apr 8, 2022 | Neptūną Klaipėda(away) | 1-1 | 1 Lyga |
| Apr 2, 2022 | Minija(away) | 1-0 | 1 Lyga |
| Mar 26, 2022 | Ekranas(away) | 5-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Kazlų Rūda Kaunas(away) | 7-1 | Cup |
| Apr 18, 2022 | Panevėžys II(home) | 1-1 | 1 Lyga |
| Apr 8, 2022 | Žalgiris II(away) | 0-0 | 1 Lyga |
| Apr 1, 2022 | Banga II(home) | 3-0 | 1 Lyga |
| Mar 25, 2022 | FA Šiauliai II(home) | 2-3 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 2 Šilas wins, 0 draws, 0 Babrungas wins.
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2021 | Babrungas 1-2 Šilas | 1 Lyga |
| May 29, 2021 | Šilas 5-1 Babrungas | 1 Lyga |
How many goals should we expect?
Šilas score 2.3 and concede 1.3 goals per match over their last 15; Babrungas score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.3 | 1.3 | 3 | 11/15 | 11/15 |
| Babrungas | 1.7 | 1.5 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Babrungas | 26 | 20 | 4 | 2 | 45 | 11 | 64 |
A question about Šilas vs Babrungas?
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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