Banga vs Kupiškis: result 5-1 and analysis
1 LygaRegular Season - 29Kick-off on October 19, 2019 at 12:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Kupiškis?
Banga won 5-1 on October 19, 2019.
Goalscorers
- 6′?Banga
- 21′?Kupiškis
- 35′D. ZubauskasBanga
- 68′?Banga
- 74′?Banga
- 79′Algimantas BačanskisBanga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 8 wins, 2 draws and 5 defeats; Kupiškis 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 |
|---|---|---|---|
| Oct 16, 2019 | Atmosfera(home) | 4-0 | 1 Lyga |
| Oct 12, 2019 | Jonava(away) | 0-1 | 1 Lyga |
| Oct 4, 2019 | Nevėžis(home) | 2-2 | 1 Lyga |
| Sep 22, 2019 | BFA(away) | 2-2 | 1 Lyga |
| Sep 8, 2019 | Minija(home) | 1-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Dainava(away) | 1-3 | 1 Lyga |
| Oct 5, 2019 | Minija(home) | 1-4 | 1 Lyga |
| Sep 28, 2019 | Hegelmann Litauen(home) | 0-0 | 1 Lyga |
| Sep 22, 2019 | Trakai II(home) | 1-7 | 1 Lyga |
| Sep 14, 2019 | Šiauliai(home) | 2-3 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 3 Banga wins, 0 draws, 0 Kupiškis wins.
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2019 | Kupiškis 0-1 Banga | 1 Lyga |
| Aug 11, 2018 | Kupiškis 0-3 Banga | 1 Lyga |
| Apr 7, 2018 | Banga 3-2 Kupiškis | 1 Lyga |
How many goals should we expect?
Banga score 1.9 and concede 1.1 goals per match over their last 15; Kupiškis score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 1.9 | 1.1 | 6 | 5/15 | 10/15 |
| Kupiškis | 1.9 | 2.0 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Banga vs Kupiškis?
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