HNK Cibalia vs Rudes: result 1-1 and analysis
HNLRegular Season - 23Kick-off on March 14, 2018 at 02:00 PM (UTC)Stadion Cibalia, Vinkovci
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What was the result of HNK Cibalia vs Rudes?
HNK Cibalia and Rudes drew 1-1 on March 14, 2018.
Goalscorers
- 55′J. BarišićHNK Cibalia
- 60′Mario BudimirRudes
What is the recent form of both teams?
Over their last 15 matches in all competitions, HNK Cibalia have 2 wins, 4 draws and 9 defeats; Rudes 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 |
|---|---|---|---|
| Mar 11, 2018 | NK Osijek(home) | 1-1 | HNL |
| Mar 2, 2018 | Istra 1961(away) | 0-0 | HNL |
| Feb 18, 2018 | NK Slaven Belupo(away) | 0-2 | HNL |
| Feb 11, 2018 | HNK Hajduk Split(home) | 0-5 | HNL |
| Dec 16, 2017 | Dinamo Zagreb(away) | 0-1 | HNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2018 | NK Slaven Belupo(away) | 0-2 | HNL |
| Mar 3, 2018 | HNK Hajduk Split(away) | 0-1 | HNL |
| Feb 16, 2018 | Inter Zapresic(home) | 2-0 | HNL |
| Feb 11, 2018 | NK Lokomotiva Zagreb(away) | 2-2 | HNL |
| Dec 17, 2017 | HNK Rijeka(away) | 0-3 | HNL |
What does the head-to-head say?
Across the last 2 meetings: 1 HNK Cibalia win(s), 1 draw(s), 0 Rudes win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2017 | Rudes 1-1 HNK Cibalia | HNL |
| Aug 13, 2017 | HNK Cibalia 3-0 Rudes | HNL |
How many goals should we expect?
HNK Cibalia score 1.0 and concede 2.0 goals per match over their last 15; Rudes score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HNK Cibalia | 1.0 | 2.0 | 2 | 10/15 | 8/15 |
| Rudes | 0.9 | 1.9 | 1 | 9/15 | 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