Trakai II vs Nevėžis: result 3-1 and analysis
1 LygaRegular Season - 26Kick-off on September 6, 2015 at 12:00 PM (UTC)Trakų naujasis stadionas, Trakai
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What was the result of Trakai II vs Nevėžis?
Trakai II won 3-1 on September 6, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trakai II have 9 wins, 3 draws and 3 defeats; Nevėžis have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2015 | Tauras(home) | 8-4 | 1 Lyga |
| Aug 23, 2015 | Palanga(home) | 2-1 | 1 Lyga |
| Aug 15, 2015 | Lokomotyvas Radviliškis(away) | 2-3 | 1 Lyga |
| Aug 10, 2015 | Kruoja II(home) | 4-0 | 1 Lyga |
| Aug 7, 2015 | Džiugas Telšiai(home) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2015 | Auska(home) | 4-0 | 1 Lyga |
| Aug 23, 2015 | Žalgiris II(away) | 1-5 | 1 Lyga |
| Aug 15, 2015 | MRU(home) | 5-0 | 1 Lyga |
| Aug 12, 2015 | Šilutė(home) | 3-1 | 1 Lyga |
| Aug 8, 2015 | Jonava(away) | 0-7 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Trakai II wins, 0 draws, 1 Nevėžis win.
| Date | Score | Competition |
|---|---|---|
| May 24, 2015 | Nevėžis 2-0 Trakai II | 1 Lyga |
How many goals should we expect?
Trakai II score 2.6 and concede 1.7 goals per match over their last 15; Nevėžis score 2.6 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trakai II | 2.6 | 1.7 | 3 | 12/15 | 12/15 |
| Nevėžis | 2.6 | 2.3 | 6 | 6/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Nevėžis | 30 | 7 | 5 | 18 | 32 | 58 | 26 |
A question about Trakai II vs Nevėžis?
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