Panevėžys vs Hegelmann Litauen: result 4-0 and analysis
1 LygaMatchday 26Kick-off on September 24, 2016 at 10:00 AM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Hegelmann Litauen?
Panevėžys won 4-0 on September 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 9 wins, 3 draws and 3 defeats; Hegelmann Litauen have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Žalgiris II(away) | 2-2 | 1 Lyga |
| Sep 10, 2016 | Džiugas Telšiai(home) | 4-1 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Šilutė(home) | 3-2 | 1 Lyga |
| Sep 11, 2016 | Žalgiris II(home) | 0-3 | 1 Lyga |
| Sep 2, 2016 | Lokomotyvas Radviliškis(home) | 2-1 | 1 Lyga |
| Aug 28, 2016 | Trakai II(home) | 4-2 | 1 Lyga |
| Aug 19, 2016 | Banga(away) | 2-3 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Panevėžys win, 0 draws, 0 Hegelmann Litauen wins.
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2016 | Hegelmann Litauen 3-6 Panevėžys | 1 Lyga |
Last archived meeting: Hegelmann Litauen vs Panevėžys on Jun 4, 2016
How many goals should we expect?
Panevėžys score 2.5 and concede 1.5 goals per match over their last 15; Hegelmann Litauen score 2.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 2.5 | 1.5 | 2 | 12/15 | 11/15 |
| Hegelmann Litauen | 2.1 | 2.0 | 2 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Panevėžys vs Hegelmann Litauen?
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