Šilas vs Panevėžys II: result 1-3 and analysis
1 LygaRegular Season - 16Kick-off on August 4, 2021 at 03:00 PM (UTC)Prienų stadionas, Prienai
Full time
What was the result of Šilas vs Panevėžys II?
Panevėžys II won 1-3 on August 4, 2021.
Goalscorers
- 3′E. JankauskasPanevėžys II
- 28′?Šilas
- 61′?Panevėžys II
- 90′?Panevėžys II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 9 wins, 2 draws and 4 defeats; Panevėžys II have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2021 | Minija(home) | 3-2 | 1 Lyga |
| Jul 3, 2021 | Kauno Žalgiris II(home) | 2-0 | 1 Lyga |
| Jun 27, 2021 | Atmosfera(away) | 1-0 | 1 Lyga |
| Jun 19, 2021 | BFA(home) | 4-0 | 1 Lyga |
| Jun 16, 2021 | Hegelmann Litauen(home) | 0-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2021 | Banga II(home) | 1-6 | 1 Lyga |
| Jul 6, 2021 | Neptūną Klaipėda(away) | 4-3 | 1 Lyga |
| Jul 3, 2021 | Sūduva II(away) | 3-1 | 1 Lyga |
| Jun 27, 2021 | Jonava(home) | 0-1 | 1 Lyga |
| Jun 19, 2021 | Šiauliai(home) | 2-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Šilas wins, 0 draws, 1 Panevėžys II win.
| Date | Score | Competition |
|---|---|---|
| Apr 5, 2021 | Panevėžys II 3-1 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 2.5 and concede 1.4 goals per match over their last 15; Panevėžys II score 1.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.5 | 1.4 | 5 | 9/15 | 12/15 |
| Panevėžys II | 1.9 | 2.3 | 1 | 9/15 | 12/15 |
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 Šilas 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