Trakai II vs Be1 NFA: result 0-1 and analysis
1 LygaRegular Season - 15Kick-off on October 31, 2023 at 03:30 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Trakai II vs Be1 NFA?
Be1 NFA won 0-1 on October 31, 2023.
Goalscorers
- 16′?Be1 NFA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trakai II have 8 wins, 5 draws and 2 defeats; Be1 NFA have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2023 | Babrungas(away) | 3-2 | 1 Lyga |
| Oct 22, 2023 | BFA(home) | 1-3 | 1 Lyga |
| Oct 14, 2023 | Ekranas(away) | 2-1 | 1 Lyga |
| Oct 9, 2023 | Žalgiris II(home) | 1-1 | 1 Lyga |
| Oct 2, 2023 | Panevėžys II(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2023 | Jonava(home) | 4-1 | 1 Lyga |
| Oct 21, 2023 | Neptūną Klaipėda(away) | 1-1 | 1 Lyga |
| Oct 8, 2023 | Kauno Žalgiris II(away) | 1-0 | 1 Lyga |
| Oct 4, 2023 | Nevėžis(home) | 1-1 | 1 Lyga |
| Sep 23, 2023 | Babrungas(home) | 2-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Trakai II wins, 2 draws, 0 Be1 NFA wins.
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2022 | Be1 NFA 1-1 Trakai II | 1 Lyga |
| May 28, 2022 | Trakai II 1-1 Be1 NFA | 1 Lyga |
How many goals should we expect?
Trakai II score 1.9 and concede 1.0 goals per match over their last 15; Be1 NFA score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trakai II | 1.9 | 1.0 | 5 | 10/15 | 9/15 |
| Be1 NFA | 1.8 | 0.9 | 6 | 8/15 | 7/15 |
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 Trakai II 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