Be1 NFA vs Šilas: result 1-2 and analysis
1 LygaRegular Season - 9Kick-off on May 13, 2023 at 02:00 PM (UTC)LFF Kauno treniruočių centras, Kaunas
Full time
What was the result of Be1 NFA vs Šilas?
Šilas won 1-2 on May 13, 2023.
Goalscorers
- 43′O. KobakhidzeŠilas (pen.)
- 57′?Šilas
- 72′D. VinckusBe1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Be1 NFA have 8 wins, 3 draws and 4 defeats; Šilas have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2023 | Garliava(away) | 2-1 | Cup |
| Apr 30, 2023 | Babrungas(away) | 2-0 | 1 Lyga |
| Apr 25, 2023 | Minija(away) | 2-0 | Cup |
| Apr 20, 2023 | BFA(home) | 2-1 | 1 Lyga |
| Apr 14, 2023 | Ekranas(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2023 | Vova Vilnius(away) | 3-0 | Cup |
| Apr 30, 2023 | Kauno Žalgiris II(home) | 2-0 | 1 Lyga |
| Apr 26, 2023 | Nadruvis(away) | 9-1 | Cup |
| Apr 23, 2023 | Babrungas(home) | 0-3 | 1 Lyga |
| Apr 15, 2023 | BFA(away) | 2-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Be1 NFA wins, 2 draws, 0 Šilas wins.
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2022 | Be1 NFA 1-1 Šilas | 1 Lyga |
| Jul 6, 2022 | Šilas 1-1 Be1 NFA | 1 Lyga |
How many goals should we expect?
Be1 NFA score 1.5 and concede 1.0 goals per match over their last 15; Šilas score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Be1 NFA | 1.5 | 1.0 | 6 | 7/15 | 7/15 |
| Šilas | 1.9 | 1.5 | 5 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Be1 NFA | 25 | 16 | 3 | 6 | 45 | 27 | 51 |
A question about Be1 NFA vs Šilas?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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