Šilas vs Panevėžys II: result 6-0 and analysis
1 LygaRegular Season - 10Kick-off on June 3, 2022 at 03:00 PM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Panevėžys II?
Šilas won 6-0 on June 3, 2022.
Goalscorers
- 11′?Šilas
- 13′?Šilas
- 53′?Šilas
- 54′?Šilas
- 57′?Šilas
- 88′?Šilas (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 11 wins, 2 draws and 2 defeats; Panevėžys II have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2022 | Žalgiris II(away) | 0-1 | 1 Lyga |
| May 21, 2022 | Banga II(home) | 0-0 | 1 Lyga |
| May 17, 2022 | Tauras(away) | 4-1 | Cup |
| May 13, 2022 | Atmosfera(away) | 2-1 | 1 Lyga |
| May 9, 2022 | Saned Joniškis(away) | 7-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2022 | FA Šiauliai II(home) | 2-5 | 1 Lyga |
| May 23, 2022 | Žalgiris II(home) | 0-3 | 1 Lyga |
| May 16, 2022 | Banga II(away) | 2-3 | 1 Lyga |
| May 1, 2022 | Atmosfera(home) | 1-3 | 1 Lyga |
| Apr 18, 2022 | Babrungas(away) | 1-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Šilas win(s), 0 draw(s), 2 Panevėžys II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2021 | Šilas 1-3 Panevėžys II | 1 Lyga |
| Apr 5, 2021 | Panevėžys II 3-1 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.7 and concede 1.2 goals per match over their last 15; Panevėžys II score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.7 | 1.2 | 3 | 11/15 | 11/15 |
| Panevėžys II | 1.3 | 1.7 | 3 | 10/15 | 9/15 |
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 |
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