Koralas vs Utenis II: result 3-1 and analysis
1 LygaMatchday 25Kick-off on September 16, 2017 at 12:00 PM (UTC)Klaipėdos centrinio stadiono atsarginė aikštė, Klaipėda
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What was the result of Koralas vs Utenis II?
Koralas won 3-1 on September 16, 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; Utenis 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 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 |
| Aug 15, 2017 | Stumbras II(away) | 3-3 | 1 Lyga |
| Aug 12, 2017 | Šilutė(home) | 4-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Šilutė(home) | 2-1 | 1 Lyga |
| Sep 3, 2017 | Dainava(away) | 0-5 | 1 Lyga |
| Aug 26, 2017 | Palanga(home) | 1-3 | 1 Lyga |
| Aug 18, 2017 | Panevėžys(away) | 0-1 | 1 Lyga |
| Aug 12, 2017 | Tauras(home) | 2-5 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Koralas win, 0 draws, 0 Utenis II wins.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2017 | Utenis II 0-3 Koralas | 1 Lyga |
How many goals should we expect?
Koralas score 2.1 and concede 1.0 goals per match over their last 15; Utenis II score 0.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koralas | 2.1 | 1.0 | 5 | 9/15 | 10/15 |
| Utenis II | 0.9 | 2.9 | 1 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Koralas vs Utenis II?
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