Smiltene vs Super Nova: result 1-6 and analysis
1. LigaRegular Season - 13Kick-off on August 11, 2018 at 01:00 PM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs Super Nova?
Super Nova won 1-6 on August 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 6 wins, 2 draws and 7 defeats; Super Nova have 8, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Tukums(home) | 0-3 | 1. Liga |
| Jul 28, 2018 | Staiceles Bebri(home) | 3-0 | 1. Liga |
| Jul 21, 2018 | Daugavpils / Progress(away) | 0-4 | 1. Liga |
| Jul 14, 2018 | JDFS Alberts(away) | 2-7 | 1. Liga |
| Jun 2, 2018 | Rēzekne FA(home) | 2-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2018 | JDFS Alberts(home) | 1-0 | 1. Liga |
| Jul 21, 2018 | RTU(away) | 2-2 | 1. Liga |
| Jul 14, 2018 | Rēzekne FA(home) | 4-2 | 1. Liga |
| Jun 10, 2018 | Preiļu BJSS(away) | 6-0 | 1. Liga |
| Jun 2, 2018 | Balvu(away) | 4-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 0 Smiltene wins, 0 draws, 1 Super Nova win.
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2018 | Super Nova 1-0 Smiltene | 1. Liga |
Last archived meeting: Super Nova vs Smiltene on Apr 29, 2018
How many goals should we expect?
Smiltene score 2.1 and concede 2.4 goals per match over their last 15; Super Nova score 2.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 2.1 | 2.4 | 2 | 8/15 | 12/15 |
| Super Nova | 2.9 | 0.9 | 6 | 4/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Smiltene | 22 | 5 | 4 | 13 | 32 | 59 | 19 |
A question about Smiltene 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