Koralas vs Tauras: result 4-0 and analysis
1 LygaRegular Season - 16Kick-off on July 9, 2017 at 02:00 PM (UTC)Klaipėdos centrinio stadiono atsarginė aikštė, Klaipėda
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What was the result of Koralas vs Tauras?
Koralas won 4-0 on July 9, 2017.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Koralas have 4 wins, 2 draws and 7 defeats; Tauras 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 |
|---|---|---|---|
| Jul 6, 2017 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Jun 30, 2017 | Vilniaus Vytis(away) | 1-1 | 1 Lyga |
| Jun 9, 2017 | Banga(home) | 3-1 | 1 Lyga |
| Jun 3, 2017 | Utenis II(away) | 3-0 | 1 Lyga |
| May 30, 2017 | Pakruojis(away) | 1-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | Šilutė(away) | 0-2 | 1 Lyga |
| Jul 1, 2017 | Dainava(home) | 2-2 | 1 Lyga |
| Jun 20, 2017 | Palanga(home) | 2-3 | 1 Lyga |
| Jun 16, 2017 | Panevėžys(away) | 0-2 | 1 Lyga |
| Jun 9, 2017 | Trakai II(home) | 3-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Koralas win, 0 draws, 0 Tauras wins.
| Date | Score | Competition |
|---|---|---|
| Mar 25, 2017 | Tauras 0-3 Koralas | 1 Lyga |
How many goals should we expect?
Koralas score 1.2 and concede 1.5 goals per match over their last 13; Tauras score 1.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koralas | 1.2 | 1.5 | 3 | 5/13 | 7/13 |
| Tauras | 1.2 | 2.2 | 2 | 6/15 | 11/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tauras | 26 | 13 | 5 | 8 | 47 | 35 | 44 |
A question about Koralas vs Tauras?
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