Žalgiris II vs Panevėžys: result 2-2 and analysis
1 LygaRegular Season - 9Kick-off on May 30, 2017 at 06:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgiris II vs Panevėžys?
Žalgiris II and Panevėžys drew 2-2 on May 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 2 wins, 3 draws and 10 defeats; Panevėžys have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2017 | Tauras(home) | 1-2 | 1 Lyga |
| May 14, 2017 | Džiugas Telšiai(away) | 3-3 | 1 Lyga |
| May 4, 2017 | Vilniaus Vytis(away) | 0-3 | 1 Lyga |
| Apr 22, 2017 | Trakai II(home) | 1-2 | 1 Lyga |
| Apr 9, 2017 | Banga(home) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Banga(home) | 0-1 | 1 Lyga |
| May 7, 2017 | Utenis II(away) | 4-0 | 1 Lyga |
| Apr 23, 2017 | Pakruojis(away) | 1-2 | 1 Lyga |
| Apr 14, 2017 | Stumbras II(away) | 1-1 | 1 Lyga |
| Apr 7, 2017 | Nevėžis(away) | 0-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Žalgiris II win(s), 1 draw(s), 0 Panevėžys win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Žalgiris II 2-2 Panevėžys | 1 Lyga |
| May 27, 2016 | Panevėžys 0-1 Žalgiris II | 1 Lyga |
Last archived meeting: Žalgiris II vs Panevėžys on Sep 17, 2016
How many goals should we expect?
Žalgiris II score 1.1 and concede 2.2 goals per match over their last 15; Panevėžys score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 1.1 | 2.2 | 0 | 10/15 | 10/15 |
| Panevėžys | 2.3 | 1.1 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Žalgiris II | 20 | 9 | 4 | 7 | 31 | 28 | 31 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy