Koralas vs Žalgiris II: result 5-3 and analysis
1 LygaRegular Season - 28Kick-off on October 7, 2017 at 12:00 PM (UTC)Klaipėdos centrinio stadiono atsarginė aikštė, Klaipėda
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What was the result of Koralas vs Žalgiris II?
Koralas won 5-3 on October 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Koralas have 10 wins, 3 draws and 2 defeats; Žalgiris II have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2017 | Banga(away) | 0-2 | 1 Lyga |
| Sep 16, 2017 | Utenis II(home) | 3-1 | 1 Lyga |
| Sep 9, 2017 | Pakruojis(home) | 3-1 | 1 Lyga |
| Aug 26, 2017 | Nevėžis(home) | 2-0 | 1 Lyga |
| Aug 19, 2017 | Trakai II(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Dainava(home) | 1-1 | 1 Lyga |
| Sep 19, 2017 | Tauras(away) | 1-5 | 1 Lyga |
| Sep 16, 2017 | Palanga(home) | 1-4 | 1 Lyga |
| Sep 13, 2017 | Palanga(away) | 1-3 | 1 Lyga |
| Sep 9, 2017 | Panevėžys(away) | 1-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Koralas win, 0 draws, 0 Žalgiris II wins.
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2017 | Žalgiris II 1-2 Koralas | 1 Lyga |
Last archived meeting: Žalgiris II vs Koralas on Jul 26, 2017
How many goals should we expect?
Koralas score 2.1 and concede 0.9 goals per match over their last 15; Žalgiris II score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koralas | 2.1 | 0.9 | 4 | 9/15 | 9/15 |
| Žalgiris II | 1.2 | 2.3 | 3 | 9/15 | 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 | Žalgiris II | 28 | 15 | 4 | 9 | 44 | 36 | 49 |
A question about Koralas vs Žalgiris II?
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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