Kaunas vs Kražantė: result 4-3 and analysis
1 LygaRegular Season - 25Kick-off on September 17, 2016 at 10:00 AM (UTC)Nacionalinės futbolo akademijos stadionas, Kaunas
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What was the result of Kaunas vs Kražantė?
Kaunas won 4-3 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaunas have 0 wins, 1 draw and 14 defeats; Kražantė have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | Nevėžis(home) | 2-4 | 1 Lyga |
| Sep 6, 2016 | Vilniaus Vytis(away) | 0-10 | 1 Lyga |
| Aug 27, 2016 | Lokomotyvas Radviliškis(away) | 2-6 | 1 Lyga |
| Aug 20, 2016 | Trakai II(home) | 1-5 | 1 Lyga |
| Aug 13, 2016 | Dainava(home) | 0-5 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Palanga(home) | 0-2 | 1 Lyga |
| Sep 6, 2016 | Nevėžis(home) | 3-2 | 1 Lyga |
| Sep 3, 2016 | Dainava(away) | 0-0 | 1 Lyga |
| Aug 28, 2016 | Džiugas Telšiai(away) | 1-2 | 1 Lyga |
| Aug 24, 2016 | Šilas(away) | 1-5 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Kaunas win, 1 draw, 1 Kražantė win.
| Date | Score | Competition |
|---|---|---|
| May 28, 2016 | Kražantė 3-1 Kaunas | 1 Lyga |
| Aug 15, 2015 | Kaunas 4-1 Kražantė | 1 Lyga |
| May 1, 2015 | Kražantė 1-1 Kaunas | 1 Lyga |
How many goals should we expect?
Kaunas score 0.7 and concede 4.9 goals per match over their last 15; Kražantė score 1.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaunas | 0.7 | 4.9 | 0 | 7/15 | 15/15 |
| Kražantė | 1.9 | 2.5 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Kaunas vs Kražantė?
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