Tauras vs Panevėžys: result 1-2 and analysis
1 LygaRegular Season - 27Kick-off on October 1, 2017 at 01:00 PM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
Full time
What was the result of Tauras vs Panevėžys?
Panevėžys won 1-2 on October 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tauras have 3 wins, 4 draws and 8 defeats; Panevėžys have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Trakai II(away) | 1-3 | 1 Lyga |
| Sep 19, 2017 | Žalgiris II(home) | 5-1 | 1 Lyga |
| Sep 15, 2017 | Džiugas Telšiai(away) | 0-0 | 1 Lyga |
| Aug 18, 2017 | Banga(home) | 1-2 | 1 Lyga |
| Aug 12, 2017 | Utenis II(away) | 5-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Džiugas Telšiai(away) | 5-2 | 1 Lyga |
| Sep 15, 2017 | Vilniaus Vytis(away) | 2-4 | 1 Lyga |
| Sep 9, 2017 | Žalgiris II(home) | 2-1 | 1 Lyga |
| Aug 23, 2017 | Banga(away) | 4-6 | 1 Lyga |
| Aug 18, 2017 | Utenis II(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Tauras wins, 0 draws, 1 Panevėžys win.
| Date | Score | Competition |
|---|---|---|
| Jun 16, 2017 | Panevėžys 2-0 Tauras | 1 Lyga |
How many goals should we expect?
Tauras score 1.5 and concede 1.9 goals per match over their last 15; Panevėžys score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 1.5 | 1.9 | 3 | 8/15 | 10/15 |
| Panevėžys | 1.7 | 1.8 | 3 | 10/15 | 9/15 |
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 Tauras vs Panevėžys?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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