Kupiškis vs Džiugas Telšiai: result 0-4 and analysis
1 LygaMatchday 14Kick-off on June 29, 2018 at 03:30 PM (UTC)Kupiškio miesto stadionas, Kupiškis
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What was the result of Kupiškis vs Džiugas Telšiai?
Džiugas Telšiai won 0-4 on June 29, 2018.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Kupiškis have 2 wins, 0 draws and 10 defeats; Džiugas Telšiai 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 |
|---|---|---|---|
| Jun 20, 2018 | Dainava(home) | 2-6 | 1 Lyga |
| Jun 17, 2018 | Panevėžys(home) | 0-6 | 1 Lyga |
| Jun 3, 2018 | Vilniaus Vytis(home) | 2-4 | 1 Lyga |
| May 22, 2018 | Koralas(away) | 12-0 | 1 Lyga |
| May 18, 2018 | Žalgiris II(away) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2018 | Utenis Utena(away) | 2-1 | 1 Lyga |
| Jun 16, 2018 | Banga(home) | 2-0 | 1 Lyga |
| Jun 9, 2018 | Nevėžis(away) | 1-3 | 1 Lyga |
| Jun 3, 2018 | Panevėžys(home) | 0-1 | 1 Lyga |
| May 24, 2018 | Dainava(away) | 1-0 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Kupiškis wins, 0 draws, 1 Džiugas Telšiai win.
| Date | Score | Competition |
|---|---|---|
| Mar 25, 2018 | Džiugas Telšiai 4-0 Kupiškis | 1 Lyga |
Last archived meeting: Džiugas Telšiai vs Kupiškis on Mar 25, 2018
How many goals should we expect?
Kupiškis score 2.2 and concede 3.7 goals per match over their last 12; Džiugas Telšiai score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kupiškis | 2.2 | 3.7 | 1 | 8/12 | 12/12 |
| Džiugas Telšiai | 2.1 | 1.3 | 5 | 8/15 | 9/15 |
Over the last 12 matches in all competitions.
A question about Kupiškis vs Džiugas Telšiai?
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