Daugavpils / Progress vs Grobiņa: result 9-0 and analysis
1. LigaRegular Season - 13Kick-off on August 11, 2018 at 02:00 PM (UTC)Stadions Celtnieks, Daugavpils
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What was the result of Daugavpils / Progress vs Grobiņa?
Daugavpils / Progress won 9-0 on August 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Daugavpils / Progress have 10 wins, 1 draw and 4 defeats; Grobiņa have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2018 | Tukums(away) | 0-1 | 1. Liga |
| Jul 21, 2018 | Smiltene(home) | 4-0 | 1. Liga |
| Jul 14, 2018 | Staiceles Bebri(home) | 8-0 | 1. Liga |
| Jun 9, 2018 | JDFS Alberts(away) | 2-1 | 1. Liga |
| Jun 2, 2018 | RTU(home) | 1-5 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2018 | JDFS Alberts(home) | 0-2 | 1. Liga |
| Jul 28, 2018 | RTU(home) | 2-4 | 1. Liga |
| Jul 21, 2018 | Rēzekne FA(away) | 1-3 | 1. Liga |
| Jul 14, 2018 | Preiļu BJSS(home) | 5-2 | 1. Liga |
| Jun 9, 2018 | Balvu(away) | 0-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 Daugavpils / Progress win, 0 draws, 0 Grobiņa wins.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2018 | Grobiņa 2-4 Daugavpils / Progress | 1. Liga |
Last archived meeting: Grobiņa vs Daugavpils / Progress on Apr 28, 2018
How many goals should we expect?
Daugavpils / Progress score 3.9 and concede 1.1 goals per match over their last 15; Grobiņa score 1.5 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Daugavpils / Progress | 3.9 | 1.1 | 8 | 5/15 | 12/15 |
| Grobiņa | 1.5 | 3.1 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Daugavpils / Progress vs Grobiņa?
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