Tauras vs Pakruojis: result 0-0 and analysis
1 LygaRegular Season - 19Kick-off on August 8, 2017 at 03:30 PM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
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What was the result of Tauras vs Pakruojis?
Tauras and Pakruojis drew 0-0 on August 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tauras have 3 wins, 2 draws and 10 defeats; Pakruojis have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Stumbras II(away) | 2-2 | 1 Lyga |
| Jul 29, 2017 | Nevėžis(away) | 0-2 | 1 Lyga |
| Jul 9, 2017 | Koralas(away) | 0-4 | 1 Lyga |
| Jul 6, 2017 | Šilutė(away) | 0-2 | 1 Lyga |
| Jul 1, 2017 | Dainava(home) | 2-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2017 | Džiugas Telšiai(home) | 1-2 | 1 Lyga |
| Jul 30, 2017 | Vilniaus Vytis(home) | 2-2 | 1 Lyga |
| Jul 9, 2017 | Žalgiris II(home) | 0-4 | 1 Lyga |
| Jul 1, 2017 | Banga(home) | 2-1 | 1 Lyga |
| Jun 22, 2017 | Utenis II(away) | 3-3 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Tauras wins, 0 draws, 1 Pakruojis win.
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2017 | Pakruojis 3-0 Tauras | 1 Lyga |
How many goals should we expect?
Tauras score 1.2 and concede 2.2 goals per match over their last 15; Pakruojis score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 1.2 | 2.2 | 2 | 6/15 | 11/15 |
| Pakruojis | 1.7 | 1.7 | 2 | 10/15 | 12/15 |
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 Pakruojis?
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