Tauras vs Vilniaus Vytis: result 0-1 and analysis
1 LygaMatchday 24Kick-off on October 17, 2017 at 12:00 PM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
Full time
What was the result of Tauras vs Vilniaus Vytis?
Vilniaus Vytis won 0-1 on October 17, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tauras have 2 wins, 4 draws and 9 defeats; Vilniaus Vytis have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2017 | Dainava(away) | 0-5 | 1 Lyga |
| Oct 7, 2017 | Palanga(away) | 1-6 | 1 Lyga |
| Oct 1, 2017 | Panevėžys(home) | 1-2 | 1 Lyga |
| Sep 23, 2017 | Trakai II(away) | 1-3 | 1 Lyga |
| Sep 19, 2017 | Žalgiris II(home) | 5-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Koralas(away) | 3-1 | 1 Lyga |
| Oct 7, 2017 | Šilutė(away) | 5-0 | 1 Lyga |
| Sep 29, 2017 | Dainava(home) | 2-1 | 1 Lyga |
| Sep 22, 2017 | Palanga(home) | 1-2 | 1 Lyga |
| Sep 15, 2017 | Panevėžys(home) | 4-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Tauras wins, 0 draws, 1 Vilniaus Vytis win.
| Date | Score | Competition |
|---|---|---|
| May 30, 2017 | Vilniaus Vytis 2-0 Tauras | 1 Lyga |
Last archived meeting: Vilniaus Vytis vs Tauras on May 30, 2017
How many goals should we expect?
Tauras score 1.3 and concede 2.4 goals per match over their last 15; Vilniaus Vytis score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 1.3 | 2.4 | 2 | 9/15 | 11/15 |
| Vilniaus Vytis | 1.8 | 1.1 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Tauras | 30 | 15 | 6 | 9 | 56 | 42 | 51 |
A question about Tauras vs Vilniaus Vytis?
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