Klaipėdos FM vs BFA: result 1-2 and analysis
CupRound of 16Kick-off on May 31, 2023 at 04:00 PM (UTC)
Full time
What was the result of Klaipėdos FM vs BFA?
BFA won 1-2 on May 31, 2023.
Goalscorers
- 105′K. UrbanavičiusBFA
- 107′422129Klaipėdos FM
- 116′K. UrbanavičiusBFA
Official lineup for Klaipėdos FM vs BFA
The starting elevens fielded at kick-off.
Klaipėdos FM
- LLaurynas Barsteika
- AArnas Kurakinas
- EEmilijus Jermolajev
- SS. Osman
- HH. Vaitkus
- TT. Vasiulis
- MM. Dimša
- AA. Gečas
- AA. Norvaišis
- GG. Galbuogis
- EE. Labžentis
BFA
- PP. Pranckus
- AA. Osipovič
- DD. Puzas
- AA. Gackas
- AA. Šidlauskas
- JJ. Tovar
- SS. Tello
- AA. Kežūnas
- II. Paulikas
- AA. Karpovs
- DD. Bukel
What is the recent form of both teams?
Over their last 5 matches in all competitions, Klaipėdos FM have 3 wins, 0 draws and 2 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 6, 2023 | Jonava(home) | 3-0 | Cup |
| Apr 23, 2023 | Pabradė(away) | 4-0 | Cup |
| May 7, 2022 | Kauno Žalgiris(home) | 1-4 | Cup |
| Apr 21, 2022 | VGTU Vilkai(away) | 2-0 | Cup |
| May 23, 2021 | Džiugas Telšiai(home) | 0-6 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2023 | TransINVEST Vilnius(away) | 0-2 | 1 Lyga |
| May 21, 2023 | Jonava(home) | 2-1 | 1 Lyga |
| May 13, 2023 | Neptūną Klaipėda(away) | 0-1 | 1 Lyga |
| May 10, 2023 | Fortūna Kaunas(away) | 6-0 | Cup |
| Apr 30, 2023 | Nevėžis(home) | 0-2 | 1 Lyga |
How many goals should we expect?
Klaipėdos FM score 2.0 and concede 2.0 goals per match over their last 5; BFA score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Klaipėdos FM | 2.0 | 2.0 | 3 | 1/5 | 4/5 |
| BFA | 1.3 | 1.3 | 4 | 7/15 | 7/15 |
Over the last 5 matches in all competitions.
A question about Klaipėdos FM 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