Kruoja vs Granitas Klaipėda: result 2-2 and analysis
A LygaRegular Season - 13Kick-off on May 11, 2014 at 01:00 PM (UTC)Pakruojo miesto stadionas, Pakruojis
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What was the result of Kruoja vs Granitas Klaipėda?
Kruoja and Granitas Klaipėda drew 2-2 on May 11, 2014.
Goalscorers
- 26′Zigmantas JesipovasGranitas Klaipėda
- 28′E. VeliulisGranitas Klaipėda
- 54′Robertas PoskusKruoja (o.g.)
- 65′Nerijus MaciulisKruoja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kruoja have 7 wins, 5 draws and 3 defeats; Granitas Klaipėda have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2014 | Dainava(away) | 5-0 | A Lyga |
| May 2, 2014 | Šiauliai(home) | 1-0 | A Lyga |
| Apr 27, 2014 | Ekranas(home) | 2-0 | A Lyga |
| Apr 22, 2014 | Atlantas(home) | 1-1 | A Lyga |
| Apr 17, 2014 | FK Trakai(away) | 4-1 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2014 | Ekranas(home) | 1-3 | A Lyga |
| May 3, 2014 | Atlantas(away) | 0-2 | A Lyga |
| Apr 26, 2014 | FK Trakai(home) | 0-0 | A Lyga |
| Apr 19, 2014 | Suduva Marijampole(home) | 0-2 | A Lyga |
| Apr 15, 2014 | FK Zalgiris Vilnius(away) | 1-1 | A Lyga |
What does the head-to-head say?
In the last meeting: 0 Kruoja wins, 1 draw, 0 Granitas Klaipėda wins.
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2014 | Granitas Klaipėda 2-2 Kruoja | A Lyga |
Last archived meeting: Granitas Klaipėda vs Kruoja on Mar 26, 2014
How many goals should we expect?
Kruoja score 1.9 and concede 0.9 goals per match over their last 15; Granitas Klaipėda score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kruoja | 1.9 | 0.9 | 5 | 8/15 | 7/15 |
| Granitas Klaipėda | 1.4 | 1.7 | 3 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Kruoja vs Granitas Klaipėda?
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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