NK Zagreb vs Rudes: result 0-1 and analysis
First NLRegular Season - 24Kick-off on March 29, 2017 at 03:30 PM (UTC)Stadion Kranjčevićeva, Zagreb
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What was the result of NK Zagreb vs Rudes?
Rudes won 0-1 on March 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NK Zagreb have 2 wins, 6 draws and 7 defeats; Rudes have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Novigrad(away) | 1-1 | First NL |
| Mar 18, 2017 | Dinamo Zagreb II(home) | 0-2 | First NL |
| Mar 11, 2017 | Sibenik(away) | 1-1 | First NL |
| Mar 4, 2017 | Hrvatski Dragovoljac(home) | 0-0 | First NL |
| Dec 10, 2016 | Solin(away) | 1-5 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Hrvatski Dragovoljac(home) | 0-0 | First NL |
| Mar 17, 2017 | HNK Gorica(away) | 0-1 | First NL |
| Mar 12, 2017 | Sesvete(home) | 0-0 | First NL |
| Mar 4, 2017 | Imotski(away) | 0-2 | First NL |
| Dec 10, 2016 | Dugopolje(home) | 3-1 | First NL |
What does the head-to-head say?
Across the last 2 meetings: 1 NK Zagreb win, 1 draw, 0 Rudes wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | Rudes 0-0 NK Zagreb | First NL |
| Aug 20, 2016 | NK Zagreb 5-1 Rudes | First NL |
How many goals should we expect?
NK Zagreb score 0.9 and concede 1.6 goals per match over their last 15; Rudes score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NK Zagreb | 0.9 | 1.6 | 5 | 8/15 | 6/15 |
| Rudes | 0.9 | 0.7 | 6 | 6/15 | 3/15 |
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 |
A question about NK Zagreb vs Rudes?
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