Panevėžys vs Tauras: result 2-0 and analysis
1 LygaRegular Season - 12Kick-off on June 16, 2017 at 04:00 PM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Tauras?
Panevėžys won 2-0 on June 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 5 wins, 6 draws and 4 defeats; Tauras have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2017 | Džiugas Telšiai(home) | 0-2 | 1 Lyga |
| Jun 4, 2017 | Vilniaus Vytis(home) | 1-1 | 1 Lyga |
| May 30, 2017 | Žalgiris II(away) | 2-2 | 1 Lyga |
| May 14, 2017 | Banga(home) | 0-1 | 1 Lyga |
| May 7, 2017 | Utenis II(away) | 4-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2017 | Trakai II(home) | 3-0 | 1 Lyga |
| Jun 2, 2017 | Džiugas Telšiai(home) | 2-3 | 1 Lyga |
| May 30, 2017 | Vilniaus Vytis(away) | 0-2 | 1 Lyga |
| May 19, 2017 | Žalgiris II(away) | 2-1 | 1 Lyga |
| May 5, 2017 | Banga(away) | 2-3 | 1 Lyga |
How many goals should we expect?
Panevėžys score 1.9 and concede 1.3 goals per match over their last 15; Tauras score 1.3 and concede 3.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 1.9 | 1.3 | 3 | 10/15 | 8/15 |
| Tauras | 1.3 | 3.8 | 2 | 6/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Tauras | 25 | 13 | 4 | 8 | 43 | 31 | 43 |
A question about Panevėžys vs Tauras?
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