Žalgiris II vs Panevėžys: result 2-2 and analysis
1 LygaRegular Season - 25Kick-off on September 17, 2016 at 11:00 AM (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 September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 10 wins, 1 draw and 4 defeats; Panevėžys have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Hegelmann Litauen(away) | 3-0 | 1 Lyga |
| Aug 27, 2016 | Nevėžis(away) | 1-2 | 1 Lyga |
| Aug 21, 2016 | Minija(home) | 2-1 | 1 Lyga |
| Aug 14, 2016 | Šilutė(home) | 3-1 | 1 Lyga |
| Aug 9, 2016 | Šilas(away) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Džiugas Telšiai(home) | 4-1 | 1 Lyga |
| Sep 3, 2016 | Šilas(away) | 1-3 | 1 Lyga |
| Aug 27, 2016 | Vilniaus Vytis(home) | 1-0 | 1 Lyga |
| Aug 21, 2016 | Lokomotyvas Radviliškis(home) | 3-1 | 1 Lyga |
| Aug 13, 2016 | Banga(away) | 1-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Žalgiris II win, 0 draws, 0 Panevėžys wins.
| Date | Score | Competition |
|---|---|---|
| May 27, 2016 | Panevėžys 0-1 Žalgiris II | 1 Lyga |
Last archived meeting: Panevėžys vs Žalgiris II on May 27, 2016
How many goals should we expect?
Žalgiris II score 2.3 and concede 1.5 goals per match over their last 15; Panevėžys score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 2.3 | 1.5 | 5 | 9/15 | 13/15 |
| Panevėžys | 2.3 | 1.3 | 3 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Žalgiris II vs Panevėžys?
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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