Pakruojis vs Stumbras II: prediction and stats
1 LygaRegular Season - 18Kick-off on August 4, 2019 at 12:00 AM (UTC)Pakruojo miesto stadionas, Pakruojis
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pakruojis have 3 wins, 3 draws and 9 defeats; Stumbras II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2019 | Nevėžis(home) | 1-9 | 1 Lyga |
| Jul 6, 2019 | Banga(home) | 0-1 | 1 Lyga |
| Jul 3, 2019 | BFA(home) | 2-3 | 1 Lyga |
| Jun 30, 2019 | Džiugas Telšiai(away) | 0-4 | 1 Lyga |
| Jun 22, 2019 | Vilniaus Vytis(home) | 1-6 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Banga(away) | 0-2 | 1 Lyga |
| Oct 17, 2018 | Džiugas Telšiai(away) | 1-1 | 1 Lyga |
| Oct 15, 2018 | NFA Kaunas(away) | 1-3 | 1 Lyga |
| Oct 13, 2018 | Pakruojis(home) | 4-0 | 1 Lyga |
| Oct 10, 2018 | Žalgiris II(home) | 1-0 | 1 Lyga |
What does the head-to-head say?
Across the last 4 meetings: 2 Pakruojis wins, 0 draws, 2 Stumbras II wins.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2018 | Stumbras II 4-0 Pakruojis | 1 Lyga |
| Jun 17, 2018 | Pakruojis 2-0 Stumbras II | 1 Lyga |
| Sep 22, 2017 | Stumbras II 3-0 Pakruojis | 1 Lyga |
| Jun 12, 2017 | Pakruojis 3-1 Stumbras II | 1 Lyga |
Last archived meeting: Stumbras II vs Pakruojis on Oct 13, 2018
How many goals should we expect?
Pakruojis score 1.2 and concede 3.0 goals per match over their last 15; Stumbras II score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pakruojis | 1.2 | 3.0 | 2 | 10/15 | 10/15 |
| Stumbras II | 1.6 | 1.7 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Pakruojis vs Stumbras 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