Šilas vs Minija: prediction and stats
1 LygaRegular Season - 30Kick-off on November 8, 2023 at 04:00 PM (UTC)Prienų stadionas, Prienai
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 4 wins, 2 draws and 9 defeats; Minija have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Babrungas(home) | 1-3 | 1 Lyga |
| Oct 28, 2023 | BFA(away) | 0-2 | 1 Lyga |
| Oct 21, 2023 | Ekranas(away) | 1-2 | 1 Lyga |
| Oct 15, 2023 | Žalgiris II(away) | 3-2 | 1 Lyga |
| Oct 7, 2023 | Panevėžys II(home) | 4-1 | 1 Lyga |
What does the head-to-head say?
Across the last 6 meetings: 5 Šilas win(s), 0 draw(s), 1 Minija win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 1, 2023 | Minija 3-2 Šilas | 1 Lyga |
| Aug 15, 2022 | Šilas 2-0 Minija | 1 Lyga |
| Apr 2, 2022 | Minija 0-1 Šilas | 1 Lyga |
| Jul 6, 2021 | Šilas 3-2 Minija | 1 Lyga |
| Mar 20, 2021 | Minija 1-2 Šilas | 1 Lyga |
| Aug 27, 2016 | Šilas 8-0 Minija | 1 Lyga |
How many goals should we expect?
Šilas score 0.8 and concede 2.5 goals per match over their last 15; Minija score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 0.8 | 2.5 | 6 | 5/15 | 9/15 |
| Minija | 1.7 | 1.5 | 3 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Minija | 20 | 17 | 1 | 2 | 53 | 11 | 52 |
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