Šiauliai vs Banga: result 0-3 and analysis
1 LygaRegular Season - 17Kick-off on July 27, 2019 at 11:00 AM (UTC)Šiaulių Gytarių stadionas, Šiauliai
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What was the result of Šiauliai vs Banga?
Banga won 0-3 on July 27, 2019.
Goalscorers
- 37′?Banga
- 45′Algimantas BačanskisBanga
- 74′Algimantas BačanskisBanga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šiauliai have 7 wins, 2 draws and 6 defeats; Banga have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2019 | Dainava(away) | 1-2 | 1 Lyga |
| Jul 3, 2019 | Vilniaus Vytis(home) | 1-0 | 1 Lyga |
| Jun 30, 2019 | BFA(away) | 2-1 | 1 Lyga |
| Jun 23, 2019 | Trakai II(away) | 2-3 | 1 Lyga |
| Jun 15, 2019 | Džiugas Telšiai(home) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Pakruojis(away) | 1-0 | 1 Lyga |
| Jul 3, 2019 | Dainava(home) | 0-1 | 1 Lyga |
| Jun 30, 2019 | Kupiškis(away) | 1-0 | 1 Lyga |
| Jun 22, 2019 | Jonava(home) | 6-0 | 1 Lyga |
| Jun 15, 2019 | Nevėžis(away) | 0-0 | 1 Lyga |
What does the head-to-head say?
Across the last 6 meetings: 3 Šiauliai win(s), 0 draw(s), 3 Banga win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2019 | Banga 1-0 Šiauliai | 1 Lyga |
| Nov 23, 2014 | Banga 1-3 Šiauliai | A Lyga |
| Sep 14, 2014 | Šiauliai 4-1 Banga | A Lyga |
| Jun 15, 2014 | Banga 1-2 Šiauliai | A Lyga |
| Apr 15, 2014 | Šiauliai 1-2 Banga | A Lyga |
| Sep 13, 2013 | Banga 3-0 Šiauliai | A Lyga |
How many goals should we expect?
Šiauliai score 1.8 and concede 1.2 goals per match over their last 15; Banga score 2.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šiauliai | 1.8 | 1.2 | 5 | 8/15 | 10/15 |
| Banga | 2.1 | 0.5 | 10 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy