JDFS Alberts vs Super Nova: result 0-8 and analysis
1. LigaRegular Season - 22Kick-off on October 21, 2018 at 11:00 AM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs Super Nova?
Super Nova won 0-8 on October 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 5 wins, 2 draws and 8 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 13, 2018 | Tukums(away) | 3-1 | 1. Liga |
| Oct 6, 2018 | Smiltene(away) | 3-6 | 1. Liga |
| Sep 29, 2018 | Daugavpils / Progress(away) | 0-4 | 1. Liga |
| Sep 22, 2018 | Staiceles Bebri(away) | 1-0 | 1. Liga |
| Sep 15, 2018 | RTU(home) | 0-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 22, 2018 | Balvu(home) | 7-1 | 1. Liga |
| Sep 15, 2018 | Auda(home) | 3-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 JDFS Alberts wins, 0 draws, 1 Super Nova win.
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2018 | Super Nova 1-0 JDFS Alberts | 1. Liga |
Last archived meeting: Super Nova vs JDFS Alberts on Jul 28, 2018
How many goals should we expect?
JDFS Alberts score 1.9 and concede 1.9 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 |
|---|---|---|---|---|---|
| JDFS Alberts | 1.9 | 1.9 | 3 | 8/15 | 9/15 |
| Super Nova | 3.9 | 0.9 | 7 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 22 | 12 | 4 | 6 | 44 | 31 | 40 |
A question about JDFS Alberts vs Super Nova?
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