NFA Kaunas vs Dainava: result 2-2 and analysis
1 LygaRegular Season - 7Kick-off on May 11, 2018 at 02:00 PM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of NFA Kaunas vs Dainava?
NFA Kaunas and Dainava drew 2-2 on May 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NFA Kaunas have 7 wins, 0 draws and 8 defeats; Dainava have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Panevėžys(away) | 2-5 | 1 Lyga |
| Apr 26, 2018 | Stumbras II(away) | 1-3 | 1 Lyga |
| Apr 21, 2018 | Pakruojis(home) | 1-3 | 1 Lyga |
| Apr 17, 2018 | Banga(away) | 0-2 | 1 Lyga |
| Apr 14, 2018 | Kupiškis(home) | 5-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2018 | Nevėžis(away) | 2-0 | 1 Lyga |
| Apr 21, 2018 | Koralas(home) | 4-0 | 1 Lyga |
| Apr 17, 2018 | Trakai II(home) | 1-0 | 1 Lyga |
| Apr 13, 2018 | Žalgiris II(away) | 3-0 | 1 Lyga |
| Apr 8, 2018 | Panevėžys(home) | 1-0 | 1 Lyga |
How many goals should we expect?
NFA Kaunas score 2.4 and concede 2.0 goals per match over their last 15; Dainava score 1.9 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NFA Kaunas | 2.4 | 2.0 | 3 | 10/15 | 12/15 |
| Dainava | 1.9 | 0.4 | 10 | 4/15 | 6/15 |
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 | Dainava | 27 | 12 | 8 | 7 | 40 | 28 | 44 |
A question about NFA Kaunas vs Dainava?
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