Be1 NFA vs Šilas: result 1-1 and analysis
1 LygaRegular Season - 30Kick-off on November 12, 2022 at 01:00 PM (UTC)LFF Kauno treniruočių centras, Kaunas
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What was the result of Be1 NFA vs Šilas?
Be1 NFA and Šilas drew 1-1 on November 12, 2022.
Goalscorers
- 19′?Be1 NFA
- 50′?Šilas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Be1 NFA have 7 wins, 5 draws and 3 defeats; Šilas have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2022 | Panevėžys II(away) | 2-0 | 1 Lyga |
| Oct 29, 2022 | Žalgiris II(home) | 1-0 | 1 Lyga |
| Oct 23, 2022 | Banga II(away) | 0-0 | 1 Lyga |
| Oct 15, 2022 | Atmosfera(home) | 2-0 | 1 Lyga |
| Oct 12, 2022 | Neptūną Klaipėda(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2022 | Garliava(home) | 0-1 | 1 Lyga |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Be1 NFA wins, 1 draw, 0 Šilas wins.
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2022 | Šilas 1-1 Be1 NFA | 1 Lyga |
How many goals should we expect?
Be1 NFA score 1.2 and concede 0.7 goals per match over their last 15; Šilas score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Be1 NFA | 1.2 | 0.7 | 7 | 7/15 | 3/15 |
| Šilas | 1.3 | 1.6 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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.
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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