Nevėžis vs Panevėžys II: result 4-1 and analysis
1 LygaRegular Season - 8Kick-off on July 24, 2020 at 02:30 PM (UTC)Kedainiu miesto stadionas
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What was the result of Nevėžis vs Panevėžys II?
Nevėžis won 4-1 on July 24, 2020.
Goalscorers
- 36′E. KugysNevėžis
- 62′E. KugysNevėžis
- 76′?Panevėžys II
- 77′Aretas GėgžnaNevėžis
- 83′?Nevėžis (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 6 wins, 3 draws and 6 defeats; Panevėžys II have 2, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2020 | Šiauliai(home) | 2-0 | 1 Lyga |
| Jul 11, 2020 | Hegelmann Litauen(away) | 2-0 | 1 Lyga |
| Jul 3, 2020 | Minija(home) | 4-0 | 1 Lyga |
| Jun 26, 2020 | Jonava(away) | 0-1 | 1 Lyga |
| Jun 19, 2020 | BFA(home) | 4-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2020 | Žalgiris II(home) | 2-0 | 1 Lyga |
| Jul 10, 2020 | Šiauliai(away) | 0-4 | 1 Lyga |
| Jul 4, 2020 | Atmosfera(home) | 0-0 | 1 Lyga |
| Jun 27, 2020 | Hegelmann Litauen(away) | 0-4 | 1 Lyga |
| Jun 21, 2020 | Kauno Žalgiris II(home) | 3-2 | 1 Lyga |
How many goals should we expect?
Nevėžis score 1.9 and concede 1.5 goals per match over their last 15; Panevėžys II score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 1.9 | 1.5 | 3 | 9/15 | 9/15 |
| Panevėžys II | 1.0 | 2.0 | 2 | 2/7 | 4/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Nevėžis sit 14th in 1 Lyga (26 points from 30 matches) and Panevėžys II sit 16th (21 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Nevėžis | 30 | 7 | 5 | 18 | 32 | 58 | 26 |
| 16 | Panevėžys II | 30 | 6 | 3 | 21 | 30 | 81 | 21 |
A question about Nevėžis vs Panevėžys II?
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