Ekranas vs Be1 NFA: result 1-1 and analysis
1 LygaRegular Season - 5Kick-off on April 16, 2022 at 12:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Ekranas vs Be1 NFA?
Ekranas and Be1 NFA drew 1-1 on April 16, 2022.
Goalscorers
- 2′?Ekranas (pen.)
- 53′?Be1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ekranas have 4 wins, 1 draw and 10 defeats; Be1 NFA have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | Garliava(away) | 0-1 | 1 Lyga |
| Apr 1, 2022 | Dainava(home) | 2-0 | 1 Lyga |
| Mar 26, 2022 | Šilas(home) | 0-5 | 1 Lyga |
| Mar 18, 2022 | Nevėžis(away) | 1-4 | 1 Lyga |
| May 23, 2021 | Neptūną Klaipėda(home) | 2-5 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | FA Šiauliai II(away) | 2-0 | 1 Lyga |
| Apr 5, 2022 | Nevėžis(home) | 0-0 | 1 Lyga |
| Apr 2, 2022 | Garliava(home) | 1-0 | 1 Lyga |
| Mar 20, 2022 | Dainava(home) | 1-1 | 1 Lyga |
| Jun 15, 2021 | Džiugas Telšiai(home) | 0-6 | Cup |
How many goals should we expect?
Ekranas score 1.3 and concede 2.5 goals per match over their last 15; Be1 NFA score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ekranas | 1.3 | 2.5 | 2 | 9/15 | 11/15 |
| Be1 NFA | 0.8 | 1.4 | 3 | 1/5 | 1/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ekranas sit 16th in 1 Lyga (14 points from 25 matches) and Be1 NFA sit 3rd (51 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Be1 NFA | 25 | 16 | 3 | 6 | 45 | 27 | 51 |
| 16 | Ekranas | 25 | 4 | 2 | 19 | 25 | 58 | 14 |
A question about Ekranas vs Be1 NFA?
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