Pazinka vs Grobničan Čavle: result 1-0 and analysis
Third NL - IstokWest - 6Kick-off on October 5, 2019 at 02:00 PM (UTC)Gradski Stadion, Pazin
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What was the result of Pazinka vs Grobničan Čavle?
Pazinka won 1-0 on October 5, 2019.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Pazinka have 1 win, 1 draw and 3 defeats; Grobničan Čavle have 4, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Opatija(away) | 1-4 | Third NL - Istok |
| Sep 21, 2019 | Novigrad(home) | 1-0 | Third NL - Istok |
| Sep 14, 2019 | Crikvenica(home) | 1-2 | Third NL - Istok |
| Sep 7, 2019 | Krk(away) | 1-3 | Third NL - Istok |
| Aug 31, 2019 | Vinodol(home) | 0-0 | Third NL - Istok |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Krk(home) | 2-0 | Third NL - Istok |
| Sep 21, 2019 | Vinodol(away) | 4-1 | Third NL - Istok |
| Sep 14, 2019 | Jadran Poreč(home) | 4-1 | Third NL - Istok |
| Sep 7, 2019 | Uljanik(away) | 1-1 | Third NL - Istok |
| Aug 31, 2019 | Nehaj(home) | 3-2 | Third NL - Istok |
How many goals should we expect?
Pazinka score 0.8 and concede 1.8 goals per match over their last 5; Grobničan Čavle score 2.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pazinka | 0.8 | 1.8 | 2 | 3/5 | 3/5 |
| Grobničan Čavle | 2.8 | 1.0 | 1 | 4/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Pazinka | 14 | 8 | 6 | 0 | 30 | 8 | 30 |
A question about Pazinka vs Grobničan Čavle?
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