Šilutė vs Panevėžys: result 2-2 and analysis
1 LygaRegular Season - 16Kick-off on July 9, 2017 at 11:00 AM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Panevėžys?
Šilutė and Panevėžys drew 2-2 on July 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 6 wins, 2 draws and 7 defeats; Panevėžys have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | Tauras(home) | 2-0 | 1 Lyga |
| Jul 1, 2017 | Džiugas Telšiai(away) | 1-5 | 1 Lyga |
| Jun 22, 2017 | Vilniaus Vytis(away) | 1-5 | 1 Lyga |
| Jun 17, 2017 | Žalgiris II(home) | 2-1 | 1 Lyga |
| Jun 4, 2017 | Banga(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | Dainava(away) | 1-2 | 1 Lyga |
| Jul 1, 2017 | Palanga(away) | 0-1 | 1 Lyga |
| Jun 20, 2017 | Trakai II(away) | 2-1 | 1 Lyga |
| Jun 16, 2017 | Tauras(home) | 2-0 | 1 Lyga |
| Jun 9, 2017 | Džiugas Telšiai(home) | 0-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Šilutė wins, 1 draw, 2 Panevėžys wins.
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2017 | Panevėžys 2-1 Šilutė | 1 Lyga |
| Jul 6, 2016 | Šilutė 1-1 Panevėžys | 1 Lyga |
| Mar 26, 2016 | Panevėžys 1-0 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 1.6 and concede 1.7 goals per match over their last 15; Panevėžys score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.6 | 1.7 | 4 | 7/15 | 8/15 |
| Panevėžys | 1.3 | 1.1 | 3 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Šilutė vs Panevėžys?
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