Šiauliai vs Panevėžys II: result 4-0 and analysis
1 LygaRegular Season - 6Kick-off on July 10, 2020 at 04:00 PM (UTC)Šiaulių Gytarių stadionas, Šiauliai
Full time
What was the result of Šiauliai vs Panevėžys II?
Šiauliai won 4-0 on July 10, 2020.
Goalscorers
- 17′Rokas GedminasŠiauliai
- 42′Rokas GedminasŠiauliai
- 50′Rokas GedminasŠiauliai
- 75′Rokas GedminasŠiauliai
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šiauliai have 7 wins, 3 draws and 5 defeats; Panevėžys II have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2020 | FK Zalgiris Vilnius(home) | 0-2 | Cup |
| Jul 3, 2020 | Hegelmann Litauen(home) | 0-4 | 1 Lyga |
| Jun 27, 2020 | Minija(away) | 2-2 | 1 Lyga |
| Jun 19, 2020 | Jonava(home) | 0-1 | 1 Lyga |
| Jun 13, 2020 | BFA(away) | 6-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2020 | Atmosfera(home) | 0-0 | 1 Lyga |
| Jun 27, 2020 | Hegelmann Litauen(away) | 0-4 | 1 Lyga |
| Jun 21, 2020 | Kauno Žalgiris II(home) | 3-2 | 1 Lyga |
| Jun 12, 2020 | Minija(away) | 2-2 | 1 Lyga |
| Jun 5, 2020 | Džiugas Telšiai(away) | 0-2 | 1 Lyga |
How many goals should we expect?
Šiauliai score 2.5 and concede 1.5 goals per match over their last 15; Panevėžys II score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šiauliai | 2.5 | 1.5 | 2 | 8/15 | 11/15 |
| Panevėžys II | 1.0 | 2.0 | 1 | 2/5 | 3/5 |
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 Šiauliai vs Panevėžys 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