Panevėžys vs Utenis II: result 1-0 and analysis
1 LygaRegular Season - 21Kick-off on August 18, 2017 at 04:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Utenis II?
Panevėžys won 1-0 on August 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 4 wins, 4 draws and 7 defeats; Utenis II have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2017 | Pakruojis(home) | 1-0 | 1 Lyga |
| Aug 8, 2017 | Stumbras II(home) | 1-1 | 1 Lyga |
| Aug 5, 2017 | Nevėžis(home) | 1-3 | 1 Lyga |
| Jul 29, 2017 | Koralas(away) | 1-2 | 1 Lyga |
| Jul 9, 2017 | Šilutė(away) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | Tauras(home) | 2-5 | 1 Lyga |
| Aug 8, 2017 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Aug 4, 2017 | Vilniaus Vytis(home) | 1-2 | 1 Lyga |
| Jul 29, 2017 | Žalgiris II(home) | 1-0 | 1 Lyga |
| Jul 6, 2017 | Banga(away) | 0-5 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Panevėžys win, 0 draws, 0 Utenis II wins.
| Date | Score | Competition |
|---|---|---|
| May 7, 2017 | Utenis II 0-4 Panevėžys | 1 Lyga |
Last archived meeting: Utenis II vs Panevėžys on May 7, 2017
How many goals should we expect?
Panevėžys score 1.3 and concede 1.3 goals per match over their last 15; Utenis II score 0.9 and concede 3.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 1.3 | 1.3 | 3 | 9/15 | 8/15 |
| Utenis II | 0.9 | 3.6 | 1 | 6/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Panevėžys vs Utenis II?
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