Panevėžys vs Džiugas Telšiai: result 4-1 and analysis
1 LygaMatchday 24Kick-off on September 10, 2016 at 03:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Džiugas Telšiai?
Panevėžys won 4-1 on September 10, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 8 wins, 4 draws and 3 defeats; Džiugas Telšiai have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Šilas(away) | 1-3 | 1 Lyga |
| Aug 27, 2016 | Vilniaus Vytis(home) | 1-0 | 1 Lyga |
| Aug 21, 2016 | Lokomotyvas Radviliškis(home) | 3-1 | 1 Lyga |
| Aug 13, 2016 | Banga(away) | 1-1 | 1 Lyga |
| Aug 9, 2016 | Kražantė(home) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Kražantė(home) | 2-1 | 1 Lyga |
| Aug 14, 2016 | Hegelmann Litauen(home) | 0-1 | 1 Lyga |
| Aug 10, 2016 | Lokomotyvas Radviliškis(away) | 3-1 | 1 Lyga |
| Aug 5, 2016 | Šilas(away) | 0-2 | 1 Lyga |
| Jul 31, 2016 | Nevėžis(home) | 1-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Panevėžys wins, 1 draw, 0 Džiugas Telšiai wins.
| Date | Score | Competition |
|---|---|---|
| May 21, 2016 | Džiugas Telšiai 0-0 Panevėžys | 1 Lyga |
Last archived meeting: Džiugas Telšiai vs Panevėžys on May 21, 2016
How many goals should we expect?
Panevėžys score 2.1 and concede 1.3 goals per match over their last 15; Džiugas Telšiai score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 2.1 | 1.3 | 4 | 10/15 | 9/15 |
| Džiugas Telšiai | 1.6 | 1.2 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Panevėžys vs Džiugas Telšiai?
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