Sloga Mravince vs Dinamo Zagreb: result 0-1 and analysis
Cup1st RoundKick-off on September 26, 2018 at 01:30 PM (UTC)Stadion Glavica, Mravince
Full time
What was the result of Sloga Mravince vs Dinamo Zagreb?
Dinamo Zagreb won 0-1 on September 26, 2018.
Goalscorers
- 77′Mario BudimirDinamo Zagreb (pen.)
Official lineup for Sloga Mravince vs Dinamo Zagreb
The starting elevens fielded at kick-off.
Sloga Mravince
- BB. Borozan
- MMario Marović
- AA. Barać
- AA.Gusić
- BB. Andabak
- II. Boko
- MM. Mikelić
- TT. Katić
- MM. Juričić
- ŠŠ. Caktaš
- JJ. Vladović
Dinamo Zagreb
- MMario Budimir
- DD. Kądzior
- BB. Petković
- LL. Menalo
- AA. Ademi
- TT. Doumbia
- MMario Musa
- MM. Lešković
- AAmir Rrahmani
- SS. Moharrami
- DD. Zagorac
What is the recent form of both teams?
In their last match in all competitions, Sloga Mravince have 1 win, 0 draws and 0 defeats; Dinamo Zagreb have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2018 | Koprivnica(away) | 3-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2018 | Inter Zapresic(home) | 5-3 | HNL |
| Sep 20, 2018 | Fenerbahçe(home) | 4-1 | UEFA Europa League |
| Sep 15, 2018 | HNK Gorica(away) | 1-0 | HNL |
| Sep 2, 2018 | HNK Rijeka(home) | 1-1 | HNL |
| Aug 28, 2018 | BSC Young Boys(home) | 1-2 | UEFA Champions League |
How many goals should we expect?
Sloga Mravince score 3.0 and concede 1.0 goals per match in their last match; Dinamo Zagreb score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sloga Mravince | 3.0 | 1.0 | 0 | 1/1 | 1/1 |
| Dinamo Zagreb | 2.1 | 0.9 | 6 | 9/15 | 8/15 |
Over the last match in all competitions.
A question about Sloga Mravince vs Dinamo Zagreb?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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