Žalgiris II vs Kupiškis: result 3-2 and analysis
1 LygaRegular Season - 8Kick-off on May 18, 2018 at 03:30 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgiris II vs Kupiškis?
Žalgiris II won 3-2 on May 18, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 3 wins, 2 draws and 10 defeats; Kupiškis have 1, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Utenis Utena(home) | 0-1 | 1 Lyga |
| May 5, 2018 | Banga(home) | 3-2 | 1 Lyga |
| Apr 23, 2018 | Stumbras II(home) | 1-1 | 1 Lyga |
| Apr 17, 2018 | Koralas(away) | 3-1 | 1 Lyga |
| Apr 13, 2018 | Dainava(home) | 0-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2018 | Pakruojis(away) | 1-2 | 1 Lyga |
| May 5, 2018 | Trakai II(away) | 3-2 | 1 Lyga |
| Apr 22, 2018 | Utenis Utena(away) | 1-6 | 1 Lyga |
| Apr 14, 2018 | NFA Kaunas(away) | 1-5 | 1 Lyga |
| Apr 7, 2018 | Banga(away) | 2-3 | 1 Lyga |
How many goals should we expect?
Žalgiris II score 1.5 and concede 2.4 goals per match over their last 15; Kupiškis score 1.1 and concede 3.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 1.5 | 2.4 | 1 | 9/15 | 10/15 |
| Kupiškis | 1.1 | 3.6 | 0 | 5/7 | 7/7 |
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 | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Žalgiris II vs Kupiškis?
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