Kražantė vs Kaunas: result 3-1 and analysis
1 LygaRegular Season - 10Kick-off on May 28, 2016 at 10:00 AM (UTC)Kelmės miestas stadionas, Kelmė
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What was the result of Kražantė vs Kaunas?
Kražantė won 3-1 on May 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kražantė have 5 wins, 1 draw and 9 defeats; Kaunas have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Palanga(away) | 1-1 | 1 Lyga |
| May 14, 2016 | Dainava(home) | 1-3 | 1 Lyga |
| May 8, 2016 | Džiugas Telšiai(home) | 2-3 | 1 Lyga |
| Apr 30, 2016 | Nevėžis(away) | 1-5 | 1 Lyga |
| Apr 23, 2016 | Minija(away) | 1-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Vilniaus Vytis(home) | 0-6 | 1 Lyga |
| May 10, 2016 | Lokomotyvas Radviliškis(home) | 2-0 | 1 Lyga |
| May 1, 2016 | Trakai II(away) | 1-0 | 1 Lyga |
| Apr 24, 2016 | Dainava(away) | 0-6 | 1 Lyga |
| Apr 17, 2016 | Šilutė(home) | 0-3 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Kražantė wins, 1 draw, 1 Kaunas win.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2015 | Kaunas 4-1 Kražantė | 1 Lyga |
| May 1, 2015 | Kražantė 1-1 Kaunas | 1 Lyga |
How many goals should we expect?
Kražantė score 1.7 and concede 2.8 goals per match over their last 15; Kaunas score 0.7 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kražantė | 1.7 | 2.8 | 3 | 8/15 | 11/15 |
| Kaunas | 0.7 | 3.4 | 2 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Kražantė vs Kaunas?
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