Rudes vs HNK Cibalia: result 3-2 and analysis
HNLRegular Season - 32Kick-off on April 29, 2018 at 03:00 PM (UTC)Igralište NK Rudeš, Zagreb
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What was the result of Rudes vs HNK Cibalia?
Rudes won 3-2 on April 29, 2018.
Goalscorers
- 7′S. FazliRudes
- 45′Ivan GalićHNK Cibalia
- 90′M. DabroHNK Cibalia
- 90′S. FazliRudes
- 90′S. FazliRudes
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rudes have 4 wins, 4 draws and 7 defeats; HNK Cibalia have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2018 | Inter Zapresic(away) | 1-1 | HNL |
| Apr 18, 2018 | NK Lokomotiva Zagreb(home) | 1-2 | HNL |
| Apr 13, 2018 | HNK Rijeka(home) | 4-2 | HNL |
| Apr 7, 2018 | NK Osijek(home) | 1-0 | HNL |
| Mar 29, 2018 | Istra 1961(home) | 2-1 | HNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2018 | NK Slaven Belupo(home) | 1-3 | HNL |
| Apr 18, 2018 | HNK Hajduk Split(away) | 0-4 | HNL |
| Apr 14, 2018 | Dinamo Zagreb(home) | 0-2 | HNL |
| Apr 6, 2018 | Inter Zapresic(home) | 3-0 | HNL |
| Mar 30, 2018 | NK Lokomotiva Zagreb(home) | 1-1 | HNL |
What does the head-to-head say?
Across the last 3 meetings: 0 Rudes win(s), 2 draw(s), 1 HNK Cibalia win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 14, 2018 | HNK Cibalia 1-1 Rudes | HNL |
| Oct 29, 2017 | Rudes 1-1 HNK Cibalia | HNL |
| Aug 13, 2017 | HNK Cibalia 3-0 Rudes | HNL |
How many goals should we expect?
Rudes score 1.1 and concede 1.5 goals per match over their last 15; HNK Cibalia score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudes | 1.1 | 1.5 | 2 | 8/15 | 7/15 |
| HNK Cibalia | 0.9 | 2.1 | 2 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Rudes | 4 | 1 | 0 | 3 | 6 | 13 | 3 |
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