Solin vs Kustosija: result 2-4 and analysis
First NLRegular Season - 29Kick-off on April 28, 2018 at 03:00 PM (UTC)Stadion Hrvatski vitezovi, Dugopolje
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What was the result of Solin vs Kustosija?
Kustosija won 2-4 on April 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Solin have 3 wins, 4 draws and 8 defeats; Kustosija have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2018 | Hrvatski Dragovoljac(away) | 0-1 | First NL |
| Apr 13, 2018 | Sibenik(away) | 0-2 | First NL |
| Apr 7, 2018 | Lucko(home) | 0-0 | First NL |
| Apr 3, 2018 | Dinamo Zagreb II(away) | 1-2 | First NL |
| Mar 28, 2018 | HNK Gorica(home) | 1-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Lucko(home) | 1-0 | First NL |
| Apr 15, 2018 | Dinamo Zagreb II(away) | 0-4 | First NL |
| Apr 7, 2018 | HNK Gorica(home) | 1-2 | First NL |
| Apr 3, 2018 | Dugopolje(away) | 2-2 | First NL |
| Mar 28, 2018 | Sesvete(home) | 4-0 | First NL |
What does the head-to-head say?
Across the last 2 meetings: 0 Solin wins, 1 draw, 1 Kustosija win.
| Date | Score | Competition |
|---|---|---|
| Mar 17, 2018 | Solin 1-2 Kustosija | First NL |
| Oct 11, 2017 | Kustosija 1-1 Solin | First NL |
How many goals should we expect?
Solin score 0.8 and concede 1.1 goals per match over their last 15; Kustosija score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Solin | 0.8 | 1.1 | 3 | 6/15 | 4/15 |
| Kustosija | 1.1 | 1.3 | 3 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Kustosija | 8 | 1 | 4 | 3 | 4 | 6 | 7 |
A question about Solin vs Kustosija?
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