Be1 NFA vs Tauras: result 2-1 and analysis
1 LygaRegular Season - 14Kick-off on June 14, 2024 at 03:30 PM (UTC)Jonavos dirbtinės dangos stadionas, Jonava
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What was the result of Be1 NFA vs Tauras?
Be1 NFA won 2-1 on June 14, 2024.
Goalscorers
- 17′D. VinckusBe1 NFA
- 59′?Tauras
- 62′?Be1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Be1 NFA have 10 wins, 2 draws and 3 defeats; Tauras have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2024 | Neptūną Klaipėda(home) | 1-1 | 1 Lyga |
| May 24, 2024 | Babrungas(home) | 2-0 | 1 Lyga |
| May 18, 2024 | Minija(away) | 1-1 | 1 Lyga |
| May 11, 2024 | Garliava(home) | 2-1 | 1 Lyga |
| May 7, 2024 | Ekranas(home) | 0-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2024 | FA Šiauliai II(home) | 5-0 | 1 Lyga |
| Jun 1, 2024 | Nevėžis(away) | 0-1 | 1 Lyga |
| May 26, 2024 | Kauno Žalgiris II(home) | 5-0 | 1 Lyga |
| May 17, 2024 | Neptūną Klaipėda(away) | 1-2 | 1 Lyga |
| May 12, 2024 | Panevėžys II(home) | 1-3 | 1 Lyga |
How many goals should we expect?
Be1 NFA score 1.9 and concede 0.7 goals per match over their last 15; Tauras score 2.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Be1 NFA | 1.9 | 0.7 | 7 | 6/15 | 5/15 |
| Tauras | 2.0 | 1.2 | 6 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Be1 NFA sit 3rd in 1 Lyga (51 points from 25 matches) and Tauras sit 6th (43 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Be1 NFA | 25 | 16 | 3 | 6 | 45 | 27 | 51 |
| 6 | Tauras | 25 | 13 | 4 | 8 | 43 | 31 | 43 |
A question about Be1 NFA vs Tauras?
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