Rudes vs Dinamo Zagreb II: result 1-0 and analysis
First NLRegular Season - 27Kick-off on April 12, 2017 at 02:00 PM (UTC)Igralište NK Rudeš, Zagreb
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What was the result of Rudes vs Dinamo Zagreb II?
Rudes won 1-0 on April 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rudes have 6 wins, 6 draws and 3 defeats; Dinamo Zagreb II have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Lucko(away) | 1-1 | First NL |
| Apr 2, 2017 | Imotski(home) | 2-1 | First NL |
| Mar 29, 2017 | NK Zagreb(away) | 1-0 | First NL |
| Mar 25, 2017 | Hrvatski Dragovoljac(home) | 0-0 | First NL |
| Mar 17, 2017 | HNK Gorica(away) | 0-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2017 | Novigrad(home) | 1-0 | First NL |
| Apr 1, 2017 | Sesvete(away) | 2-4 | First NL |
| Mar 29, 2017 | Dugopolje(home) | 0-0 | First NL |
| Mar 25, 2017 | Lucko(home) | 1-1 | First NL |
| Mar 18, 2017 | NK Zagreb(away) | 2-0 | First NL |
What does the head-to-head say?
Across the last 2 meetings: 0 Rudes win(s), 1 draw(s), 1 Dinamo Zagreb II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2016 | Rudes 1-1 Dinamo Zagreb II | First NL |
| Sep 11, 2016 | Dinamo Zagreb II 3-2 Rudes | First NL |
Last archived meeting: Rudes vs Dinamo Zagreb II on Nov 19, 2016
How many goals should we expect?
Rudes score 1.0 and concede 0.8 goals per match over their last 15; Dinamo Zagreb II score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudes | 1.0 | 0.8 | 5 | 7/15 | 4/15 |
| Dinamo Zagreb II | 1.4 | 1.1 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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