Hegelmann II vs BFA: result 2-0 and analysis
1 LygaRegular Season - 9Kick-off on May 13, 2024 at 04:30 PM (UTC)LFF Kauno treniruočių centras, Kaunas
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What was the result of Hegelmann II vs BFA?
Hegelmann II won 2-0 on May 13, 2024.
Goalscorers
- 45′?Hegelmann II
- 90′?Hegelmann II (pen.)
What is the recent form of both teams?
Over their last 8 matches in all competitions, Hegelmann II have 2 wins, 2 draws and 4 defeats; BFA have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2024 | FA Šiauliai II(away) | 1-4 | 1 Lyga |
| Apr 29, 2024 | Kauno Žalgiris II(home) | 0-3 | 1 Lyga |
| Apr 15, 2024 | Panevėžys II(away) | 2-2 | 1 Lyga |
| Apr 7, 2024 | Atmosfera(home) | 3-0 | 1 Lyga |
| Apr 1, 2024 | Banga II(away) | 3-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2024 | Atmosfera(away) | 0-6 | Cup |
| May 4, 2024 | FK Trakai(home) | 0-2 | 1 Lyga |
| Apr 26, 2024 | Be1 NFA(away) | 0-1 | 1 Lyga |
| Apr 19, 2024 | Venta(away) | 4-0 | Cup |
| Apr 13, 2024 | Nevėžis(home) | 2-1 | 1 Lyga |
How many goals should we expect?
Hegelmann II score 1.4 and concede 2.4 goals per match over their last 8; BFA score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hegelmann II | 1.4 | 2.4 | 1 | 5/8 | 7/8 |
| BFA | 1.3 | 1.7 | 4 | 6/15 | 8/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Hegelmann II sit 12th in 1 Lyga (25 points from 26 matches) and BFA sit 7th (43 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | BFA | 26 | 13 | 4 | 9 | 40 | 37 | 43 |
| 12 | Hegelmann II | 26 | 8 | 1 | 17 | 31 | 56 | 25 |
A question about Hegelmann II vs BFA?
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