Panevėžys vs Kražantė: result 2-3 and analysis
1 LygaRegular Season - 19Kick-off on August 9, 2016 at 04:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Kražantė?
Kražantė won 2-3 on August 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 8 wins, 5 draws and 2 defeats; Kražantė have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Minija(away) | 4-2 | 1 Lyga |
| Jul 6, 2016 | Šilutė(away) | 1-1 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2016 | Hegelmann Litauen(home) | 1-5 | 1 Lyga |
| Jul 29, 2016 | Banga(away) | 2-6 | 1 Lyga |
| Jul 2, 2016 | Šilutė(away) | 3-2 | 1 Lyga |
| Jun 25, 2016 | Žalgiris II(away) | 0-3 | 1 Lyga |
| Jun 19, 2016 | Trakai II(home) | 0-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Panevėžys win, 0 draws, 0 Kražantė wins.
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2016 | Kražantė 1-4 Panevėžys | 1 Lyga |
Last archived meeting: Kražantė vs Panevėžys on Apr 16, 2016
How many goals should we expect?
Panevėžys score 2.1 and concede 1.1 goals per match over their last 15; Kražantė score 1.7 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 2.1 | 1.1 | 5 | 8/15 | 8/15 |
| Kražantė | 1.7 | 2.7 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Panevėžys vs Kražantė?
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