Grobiņa vs Smiltene: result 5-1 and analysis
1. LigaRegular Season - 14Kick-off on August 5, 2017 at 01:00 PM (UTC)Grobiņas stadionā, Grobiņa
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What was the result of Grobiņa vs Smiltene?
Grobiņa won 5-1 on August 5, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Grobiņa have 9 wins, 2 draws and 1 defeat; Smiltene have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Preiļu BJSS(away) | 2-3 | 1. Liga |
| Jul 22, 2017 | Progress / AFA Olaine(home) | 4-1 | 1. Liga |
| Jul 19, 2017 | Preiļu BJSS(home) | 11-2 | 1. Liga |
| Jun 17, 2017 | Rēzekne FA(home) | 5-3 | 1. Liga |
| Jun 3, 2017 | Valmiera / BSS(home) | 3-3 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2017 | Preiļu BJSS(away) | 3-1 | 1. Liga |
| Jul 16, 2017 | Staiceles Bebri(away) | 0-0 | 1. Liga |
| Jun 17, 2017 | Progress / AFA Olaine(home) | 0-4 | 1. Liga |
| Jun 10, 2017 | RTU(away) | 1-0 | 1. Liga |
| Jun 3, 2017 | Ogre(home) | 3-1 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 Grobiņa win, 0 draws, 0 Smiltene wins.
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2017 | Smiltene 0-2 Grobiņa | 1. Liga |
How many goals should we expect?
Grobiņa score 3.3 and concede 1.3 goals per match over their last 12; Smiltene score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grobiņa | 3.3 | 1.3 | 3 | 9/12 | 9/12 |
| Smiltene | 2.1 | 1.5 | 6 | 6/15 | 9/15 |
Over the last 12 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 Grobiņa vs Smiltene?
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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