Smiltene vs Grobiņa: result 5-3 and analysis
1. LigaRegular Season - 3Kick-off on May 5, 2018 at 12:00 PM (UTC)Tepera stadions, Smiltene
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What was the result of Smiltene vs Grobiņa?
Smiltene won 5-3 on May 5, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smiltene have 4 wins, 4 draws and 7 defeats; Grobiņa have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2018 | Super Nova(away) | 0-1 | 1. Liga |
| Apr 21, 2018 | Tukums(away) | 0-4 | 1. Liga |
| Oct 21, 2017 | Preiļu BJSS(home) | 1-1 | 1. Liga |
| Oct 14, 2017 | Staiceles Bebri(home) | 4-3 | 1. Liga |
| Oct 7, 2017 | Progress / AFA Olaine(away) | 0-2 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2018 | Daugavpils / Progress(home) | 2-4 | 1. Liga |
| Apr 22, 2018 | JDFS Alberts(away) | 2-3 | 1. Liga |
| Oct 28, 2017 | BFC Daugavpils(away) | 0-4 | 1. Liga |
| Oct 21, 2017 | Progress / AFA Olaine(away) | 0-5 | 1. Liga |
| Oct 15, 2017 | RTU(home) | 3-1 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Smiltene wins, 0 draws, 2 Grobiņa wins.
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2017 | Grobiņa 5-1 Smiltene | 1. Liga |
| Apr 15, 2017 | Smiltene 0-2 Grobiņa | 1. Liga |
How many goals should we expect?
Smiltene score 1.3 and concede 2.1 goals per match over their last 15; Grobiņa score 2.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smiltene | 1.3 | 2.1 | 2 | 9/15 | 9/15 |
| Grobiņa | 2.3 | 2.5 | 1 | 12/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Smiltene | 22 | 5 | 4 | 13 | 32 | 59 | 19 |
A question about Smiltene vs Grobiņa?
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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