Rudes vs Hrvatski Dragovoljac: result 2-1 and analysis
First NLRegular Season - 14Kick-off on November 6, 2016 at 01:00 PM (UTC)Igralište NK Rudeš, Zagreb
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What was the result of Rudes vs Hrvatski Dragovoljac?
Rudes won 2-1 on November 6, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Rudes have 6 wins, 4 draws and 3 defeats; Hrvatski Dragovoljac have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Solin(away) | 0-2 | First NL |
| Oct 22, 2016 | NK Zagreb(home) | 0-0 | First NL |
| Oct 16, 2016 | HNK Gorica(home) | 1-1 | First NL |
| Oct 8, 2016 | Sesvete(away) | 0-0 | First NL |
| Oct 2, 2016 | Imotski(home) | 1-0 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2016 | Dinamo Zagreb II(home) | 1-1 | First NL |
| Oct 22, 2016 | Sibenik(away) | 1-0 | First NL |
| Oct 14, 2016 | Novigrad(home) | 2-0 | First NL |
| Oct 8, 2016 | Solin(away) | 1-0 | First NL |
| Oct 2, 2016 | NK Zagreb(home) | 1-0 | First NL |
What does the head-to-head say?
Across the last 1 meetings: 1 Rudes win(s), 0 draw(s), 0 Hrvatski Dragovoljac win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2016 | Hrvatski Dragovoljac 1-3 Rudes | First NL |
Last archived meeting: Hrvatski Dragovoljac vs Rudes on Sep 2, 2016
How many goals should we expect?
Rudes score 1.5 and concede 1.1 goals per match over their last 13; Hrvatski Dragovoljac score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudes | 1.5 | 1.1 | 6 | 6/13 | 5/13 |
| Hrvatski Dragovoljac | 0.8 | 1.1 | 6 | 5/13 | 3/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Rudes | 33 | 19 | 8 | 6 | 49 | 29 | 65 |
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