Tauras vs Žalgiris II: result 2-8 and analysis
1 LygaRegular Season - 14Kick-off on June 21, 2015 at 12:00 PM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
Full time
What was the result of Tauras vs Žalgiris II?
Žalgiris II won 2-8 on June 21, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tauras have 3 wins, 1 draw and 11 defeats; Žalgiris II have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2015 | Šilutė(away) | 1-6 | 1 Lyga |
| Jun 6, 2015 | Kražantė(home) | 1-2 | 1 Lyga |
| Jun 2, 2015 | Nevėžis(away) | 0-3 | 1 Lyga |
| May 30, 2015 | Kaunas(home) | 0-1 | 1 Lyga |
| May 20, 2015 | Kruoja II(away) | 0-6 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2015 | Džiugas Telšiai(home) | 3-0 | 1 Lyga |
| Jun 6, 2015 | Banga(away) | 2-3 | 1 Lyga |
| May 24, 2015 | MRU(home) | 4-0 | 1 Lyga |
| May 16, 2015 | FK Panevezys(away) | 4-4 | 1 Lyga |
| May 9, 2015 | Nevėžis(away) | 2-2 | 1 Lyga |
How many goals should we expect?
Tauras score 0.9 and concede 3.4 goals per match over their last 15; Žalgiris II score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 0.9 | 3.4 | 1 | 7/15 | 13/15 |
| Žalgiris II | 2.2 | 1.5 | 4 | 6/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tauras sit 6th in 1 Lyga (43 points from 25 matches) and Žalgiris II sit 4th (46 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
| 6 | Tauras | 25 | 13 | 4 | 8 | 43 | 31 | 43 |
A question about Tauras vs Žalgiris II?
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