Tauras vs MRU: result 1-4 and analysis
1 LygaRegular Season - 14Kick-off on June 24, 2014 at 10:00 AM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
Full time
What was the result of Tauras vs MRU?
MRU won 1-4 on June 24, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tauras have 6 wins, 3 draws and 6 defeats; MRU have 5, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2014 | Utenis Utena(away) | 1-3 | 1 Lyga |
| Jun 14, 2014 | Nevėžis(home) | 1-0 | 1 Lyga |
| Jun 8, 2014 | Šilas(away) | 1-2 | 1 Lyga |
| Jun 3, 2014 | Kauno Žalgiris(home) | 1-1 | 1 Lyga |
| May 31, 2014 | Jonava(away) | 0-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2014 | Nevėžis(home) | 1-2 | 1 Lyga |
| Jun 17, 2014 | Žalgirietis(home) | 1-2 | 1 Lyga |
| Jun 13, 2014 | Šilas(home) | 3-0 | 1 Lyga |
| Jun 7, 2014 | Kauno Žalgiris(away) | 1-2 | 1 Lyga |
| Jun 3, 2014 | Jonava(home) | 4-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Tauras win, 0 draws, 0 MRU wins.
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2014 | MRU 0-1 Tauras | 1 Lyga |
How many goals should we expect?
Tauras score 1.3 and concede 1.4 goals per match over their last 15; MRU score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 1.3 | 1.4 | 3 | 9/15 | 9/15 |
| MRU | 1.6 | 0.8 | 5 | 5/12 | 7/12 |
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 MRU?
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