Tauras vs Banga: result 1-2 and analysis
A LygaRegular Season - 29Kick-off on September 17, 2013 at 02:00 PM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
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What was the result of Tauras vs Banga?
Banga won 1-2 on September 17, 2013.
Goalscorers
- 42′Aurelijus StaponkaBanga
- 49′Evaldas GrigaitisBanga
- 64′230126Tauras
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tauras have 0 wins, 1 draws and 14 defeats; Banga have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2013 | Kruoja(away) | 1-2 | A Lyga |
| Sep 7, 2013 | Suduva Marijampole(home) | 3-3 | A Lyga |
| Sep 1, 2013 | Ekranas(away) | 0-5 | A Lyga |
| Aug 26, 2013 | Dainava(home) | 0-4 | A Lyga |
| Aug 16, 2013 | Šiauliai(away) | 1-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2013 | Šiauliai(home) | 3-0 | A Lyga |
| Aug 31, 2013 | Atlantas(home) | 0-0 | A Lyga |
| Aug 25, 2013 | FK Zalgiris Vilnius(away) | 0-5 | A Lyga |
| Aug 20, 2013 | Suduva Marijampole(home) | 0-3 | A Lyga |
| Aug 10, 2013 | Kruoja(away) | 0-1 | A Lyga |
What does the head-to-head say?
Across the last 6 meetings: 1 Tauras win(s), 0 draw(s), 5 Banga win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2013 | Banga 5-0 Tauras | A Lyga |
| May 8, 2013 | Tauras 1-4 Banga | A Lyga |
| Mar 13, 2013 | Banga 2-0 Tauras | A Lyga |
| Nov 3, 2012 | Tauras 1-3 Banga | A Lyga |
| Aug 26, 2012 | Banga 4-0 Tauras | A Lyga |
| Jun 16, 2012 | Tauras 3-2 Banga | A Lyga |
How many goals should we expect?
Tauras score 0.5 and concede 3.6 goals per match over their last 15; Banga score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 0.5 | 3.6 | 0 | 5/15 | 14/15 |
| Banga | 1.3 | 1.8 | 5 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Banga | 24 | 10 | 7 | 7 | 29 | 22 | 37 |
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