Šilutė vs Panevėžys: result 1-1 and analysis
1 LygaRegular Season - 16Kick-off on July 6, 2016 at 04:00 PM (UTC)Šilutės miesto stadionas, Šilutė
Full time
What was the result of Šilutė vs Panevėžys?
Šilutė and Panevėžys drew 1-1 on July 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 4 wins, 1 draw and 10 defeats; Panevėžys have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Kražantė(home) | 2-3 | 1 Lyga |
| Jun 23, 2016 | Nevėžis(home) | 0-8 | 1 Lyga |
| Jun 19, 2016 | Lokomotyvas Radviliškis(away) | 3-2 | 1 Lyga |
| Jun 8, 2016 | Šilas(home) | 1-4 | 1 Lyga |
| Jun 4, 2016 | Vilniaus Vytis(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Dainava(away) | 4-0 | 1 Lyga |
| Jun 23, 2016 | Trakai II(home) | 2-1 | 1 Lyga |
| Jun 18, 2016 | Kaunas(away) | 3-1 | 1 Lyga |
| Jun 7, 2016 | Palanga(home) | 3-2 | 1 Lyga |
| Jun 4, 2016 | Hegelmann Litauen(away) | 6-3 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Šilutė wins, 0 draws, 1 Panevėžys win.
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2016 | Panevėžys 1-0 Šilutė | 1 Lyga |
How many goals should we expect?
Šilutė score 1.0 and concede 2.4 goals per match over their last 15; Panevėžys score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 1.0 | 2.4 | 3 | 5/15 | 8/15 |
| Panevėžys | 1.9 | 0.9 | 7 | 6/15 | 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.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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