Inter Zapresic vs HNK Cibalia: result 1-1 and analysis
HNLRegular Season - 30Kick-off on April 26, 2017 at 04:00 PM (UTC)Stadion Ivan Laljak-Ivić, Zaprešić
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What was the result of Inter Zapresic vs HNK Cibalia?
Inter Zapresic and HNK Cibalia drew 1-1 on April 26, 2017.
Goalscorers
- 40′Marko BrekaloHNK Cibalia
- 48′J. PuljićInter Zapresic
What is the recent form of both teams?
Over their last 15 matches in all competitions, Inter Zapresic have 2 wins, 6 draws and 7 defeats; HNK Cibalia have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2017 | NK Osijek(away) | 1-2 | HNL |
| Apr 15, 2017 | NK Slaven Belupo(home) | 1-1 | HNL |
| Apr 9, 2017 | Istra 1961(away) | 0-1 | HNL |
| Mar 31, 2017 | HNK Hajduk Split(home) | 1-3 | HNL |
| Mar 18, 2017 | RNK Split(away) | 0-0 | HNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2017 | NK Slaven Belupo(home) | 3-1 | HNL |
| Apr 14, 2017 | HNK Hajduk Split(away) | 0-3 | HNL |
| Apr 7, 2017 | NK Lokomotiva Zagreb(away) | 1-4 | HNL |
| Apr 2, 2017 | HNK Rijeka(home) | 0-3 | HNL |
| Mar 18, 2017 | NK Osijek(away) | 0-2 | HNL |
What does the head-to-head say?
Across the last 3 meetings: 1 Inter Zapresic win(s), 2 draw(s), 0 HNK Cibalia win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 18, 2017 | HNK Cibalia 1-1 Inter Zapresic | HNL |
| Oct 15, 2016 | Inter Zapresic 1-0 HNK Cibalia | HNL |
| Jul 30, 2016 | HNK Cibalia 3-3 Inter Zapresic | HNL |
Last archived meeting: HNK Cibalia vs Inter Zapresic on Feb 18, 2017
How many goals should we expect?
Inter Zapresic score 0.8 and concede 1.3 goals per match over their last 15; HNK Cibalia score 0.7 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Inter Zapresic | 0.8 | 1.3 | 4 | 7/15 | 5/15 |
| HNK Cibalia | 0.7 | 2.4 | 0 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
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