Panevėžys vs Žalgiris II: result 0-1 and analysis
1 LygaRegular Season - 10Kick-off on May 27, 2016 at 03:00 PM (UTC)Panevėžio futbolo akademijos stadionas, Panevėžys
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What was the result of Panevėžys vs Žalgiris II?
Žalgiris II won 0-1 on May 27, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Panevėžys have 4 wins, 4 draws and 1 defeat; Žalgiris II have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Džiugas Telšiai(away) | 0-0 | 1 Lyga |
| May 13, 2016 | Šilas(home) | 0-0 | 1 Lyga |
| May 6, 2016 | Vilniaus Vytis(away) | 0-2 | 1 Lyga |
| Apr 30, 2016 | Lokomotyvas Radviliškis(away) | 0-0 | 1 Lyga |
| Apr 23, 2016 | Banga(home) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2016 | Hegelmann Litauen(home) | 3-1 | 1 Lyga |
| May 14, 2016 | Džiugas Telšiai(home) | 2-1 | 1 Lyga |
| May 7, 2016 | Nevėžis(home) | 4-5 | 1 Lyga |
| May 1, 2016 | Minija(away) | 3-0 | 1 Lyga |
| Apr 23, 2016 | Šilutė(away) | 2-0 | 1 Lyga |
How many goals should we expect?
Panevėžys score 1.2 and concede 0.6 goals per match over their last 9; Žalgiris II score 3.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 1.2 | 0.6 | 6 | 2/9 | 2/9 |
| Žalgiris II | 3.3 | 1.3 | 6 | 9/15 | 11/15 |
Over the last 9 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 Panevėžys vs Žalgiris 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