Daugavpils / Progress vs Super Nova: result 4-0 and analysis
1. LigaPromotion Round - 2Kick-off on November 3, 2018 at 12:00 PM (UTC)Stadions Celtnieks, Daugavpils
Full time
What was the result of Daugavpils / Progress vs Super Nova?
Daugavpils / Progress won 4-0 on November 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Daugavpils / Progress have 14 wins, 0 draws and 1 defeats; Super Nova have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Rēzekne FA(home) | 5-1 | 1. Liga |
| Oct 21, 2018 | Tukums(home) | 5-0 | 1. Liga |
| Oct 13, 2018 | Smiltene(away) | 6-1 | 1. Liga |
| Oct 6, 2018 | Staiceles Bebri(away) | 5-0 | 1. Liga |
| Sep 29, 2018 | JDFS Alberts(home) | 4-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Tukums(home) | 3-0 | 1. Liga |
| Oct 21, 2018 | JDFS Alberts(away) | 8-0 | 1. Liga |
| Oct 13, 2018 | RTU(home) | 3-0 | 1. Liga |
| Oct 6, 2018 | Rēzekne FA(away) | 6-2 | 1. Liga |
| Sep 29, 2018 | Preiļu BJSS(home) | 3-2 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Daugavpils / Progress win(s), 0 draw(s), 0 Super Nova win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2018 | Super Nova 1-2 Daugavpils / Progress | 1. Liga |
| Apr 21, 2018 | Daugavpils / Progress 3-0 Super Nova | 1. Liga |
Last archived meeting: Super Nova vs Daugavpils / Progress on Sep 2, 2018
How many goals should we expect?
Daugavpils / Progress score 5.8 and concede 0.4 goals per match over their last 15; Super Nova score 3.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Daugavpils / Progress | 5.8 | 0.4 | 10 | 4/15 | 13/15 |
| Super Nova | 3.9 | 0.9 | 7 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
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