Nevėžis vs Šilas: prediction and stats
1 LygaRegular Season - 25Kick-off on October 6, 2023 at 02:00 PM (UTC)Kedainiu miesto stadionas
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nevėžis have 6 wins, 5 draws and 4 defeats; Šilas have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2023 | Be1 NFA(away) | 1-1 | 1 Lyga |
| Sep 29, 2023 | Babrungas(away) | 2-1 | 1 Lyga |
| Sep 22, 2023 | BFA(home) | 2-2 | 1 Lyga |
| Sep 16, 2023 | Ekranas(away) | 2-2 | 1 Lyga |
| Aug 31, 2023 | Žalgiris II(home) | 4-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2023 | Kauno Žalgiris II(away) | 0-3 | 1 Lyga |
| Sep 15, 2023 | Babrungas(away) | 2-6 | 1 Lyga |
| Sep 6, 2023 | Trakai II(home) | 0-4 | 1 Lyga |
| Aug 30, 2023 | BFA(home) | 0-0 | 1 Lyga |
| Aug 26, 2023 | Ekranas(away) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 6 meetings: 1 Nevėžis win(s), 1 draw(s), 4 Šilas win(s).
| Date | Score | Competition |
|---|---|---|
| May 19, 2023 | Šilas 1-0 Nevėžis | 1 Lyga |
| Oct 21, 2022 | Šilas 1-0 Nevėžis | 1 Lyga |
| Jun 17, 2022 | Nevėžis 3-1 Šilas | 1 Lyga |
| Apr 22, 2022 | Nevėžis 1-2 Šilas | Cup |
| Sep 17, 2016 | Šilas 1-1 Nevėžis | 1 Lyga |
| May 30, 2016 | Nevėžis 0-2 Šilas | 1 Lyga |
How many goals should we expect?
Nevėžis score 1.8 and concede 1.4 goals per match over their last 15; Šilas score 0.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nevėžis | 1.8 | 1.4 | 2 | 11/15 | 10/15 |
| Šilas | 0.8 | 2.5 | 6 | 5/15 | 9/15 |
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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy