Panevėžys II vs Šilas: result 3-1 and analysis
1 LygaRegular Season - 3Kick-off on April 5, 2021 at 12:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys II vs Šilas?
Panevėžys II won 3-1 on April 5, 2021.
Goalscorers
- 16′?Panevėžys II
- 50′?Šilas
- 64′?Panevėžys II
- 67′?Panevėžys II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys II have 5 wins, 1 draw and 9 defeats; Šilas have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2021 | Neptūną Klaipėda(home) | 0-5 | 1 Lyga |
| Oct 31, 2020 | Vilniaus Vytis(home) | 3-1 | 1 Lyga |
| Oct 25, 2020 | Nevėžis(home) | 1-1 | 1 Lyga |
| Oct 18, 2020 | Šiauliai(home) | 0-4 | 1 Lyga |
| Oct 4, 2020 | Džiugas Telšiai(home) | 2-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2021 | Minija(away) | 2-1 | 1 Lyga |
| Jun 30, 2020 | BFA(home) | 2-3 | Cup |
| Jun 18, 2020 | Neptūną Klaipėda(home) | 5-1 | Cup |
| Oct 23, 2016 | Banga(home) | 2-1 | 1 Lyga |
| Oct 16, 2016 | Lokomotyvas Radviliškis(home) | 7-0 | 1 Lyga |
How many goals should we expect?
Panevėžys II score 1.9 and concede 2.3 goals per match over their last 15; Šilas score 3.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys II | 1.9 | 2.3 | 3 | 9/15 | 13/15 |
| Šilas | 3.3 | 0.9 | 6 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Panevėžys II | 30 | 6 | 3 | 21 | 30 | 81 | 21 |
A question about Panevėžys II vs Šilas?
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