Babrungas vs BFA: result 1-3 and analysis
1 LygaRegular Season - 26Kick-off on October 24, 2021 at 02:00 PM (UTC)Plungės dirbtinės dangos stadionas, Plungė
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What was the result of Babrungas vs BFA?
BFA won 1-3 on October 24, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Babrungas have 3 wins, 4 draws and 8 defeats; BFA have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2021 | Panevėžys II(away) | 2-1 | 1 Lyga |
| Oct 16, 2021 | Šiauliai(away) | 2-2 | 1 Lyga |
| Oct 2, 2021 | Trakai II(away) | 0-2 | 1 Lyga |
| Sep 28, 2021 | Panevėžys(home) | 1-3 | Cup |
| Sep 18, 2021 | Šilas(home) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Trakai II(home) | 0-1 | 1 Lyga |
| Oct 2, 2021 | Šilas(home) | 1-4 | 1 Lyga |
| Sep 25, 2021 | Banga II(away) | 0-1 | 1 Lyga |
| Sep 18, 2021 | Neptūną Klaipėda(home) | 2-2 | 1 Lyga |
| Sep 12, 2021 | Sūduva II(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Babrungas wins, 0 draws, 1 BFA win.
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2021 | BFA 4-2 Babrungas | 1 Lyga |
How many goals should we expect?
Babrungas score 1.5 and concede 2.0 goals per match over their last 15; BFA score 0.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Babrungas | 1.5 | 2.0 | 2 | 11/15 | 11/15 |
| BFA | 0.9 | 2.5 | 1 | 5/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Babrungas sit 2nd in 1 Lyga (64 points from 26 matches) and BFA sit 7th (43 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Babrungas | 26 | 20 | 4 | 2 | 45 | 11 | 64 |
| 7 | BFA | 26 | 13 | 4 | 9 | 40 | 37 | 43 |
A question about Babrungas vs BFA?
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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