Nevėžis vs Kražantė: result 5-4 and analysis
1 LygaRegular Season - 33Kick-off on October 24, 2015 at 10:00 AM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs Kražantė?
Nevėžis won 5-4 on October 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 8 wins, 0 draws and 7 defeats; Kražantė have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | FK Panevezys(away) | 1-0 | 1 Lyga |
| Oct 10, 2015 | Šilas(away) | 1-4 | 1 Lyga |
| Oct 3, 2015 | Lokomotyvas Radviliškis(home) | 4-2 | 1 Lyga |
| Sep 26, 2015 | Kruoja II(home) | 3-0 | 1 Lyga |
| Sep 19, 2015 | Tauras(away) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2015 | Kruoja II(home) | 3-0 | 1 Lyga |
| Oct 10, 2015 | Minija(away) | 5-3 | 1 Lyga |
| Oct 4, 2015 | Banga(away) | 0-3 | 1 Lyga |
| Sep 26, 2015 | Tauras(home) | 4-3 | 1 Lyga |
| Sep 20, 2015 | Trakai II(away) | 2-5 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 1 Nevėžis win, 0 draws, 0 Kražantė wins.
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2015 | Kražantė 0-6 Nevėžis | 1 Lyga |
How many goals should we expect?
Nevėžis score 2.1 and concede 2.5 goals per match over their last 15; Kražantė score 1.7 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 2.1 | 2.5 | 5 | 8/15 | 13/15 |
| Kražantė | 1.7 | 2.7 | 4 | 10/15 | 12/15 |
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 Nevėžis 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