Marsonia vs Slavonija Požega: result 2-1 and analysis
Third NL - ZapadEast - 12Kick-off on November 2, 2019 at 01:00 PM (UTC)Gradski Stadion uz Savu, Slavonski Brod
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What was the result of Marsonia vs Slavonija Požega?
Marsonia won 2-1 on November 2, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Marsonia have 8 wins, 5 draws and 1 defeats; Slavonija Požega have 8, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Oriolik Oriovac(away) | 2-1 | Third NL - Zapad |
| Oct 19, 2019 | NAŠK Našice(home) | 1-0 | Third NL - Zapad |
| Oct 12, 2019 | Dakovo-Croatia(away) | 1-1 | Third NL - Zapad |
| Oct 5, 2019 | Čepin(home) | 0-0 | Third NL - Zapad |
| Sep 28, 2019 | Vukovar(away) | 2-0 | Third NL - Zapad |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Vihor(home) | 3-1 | Third NL - Zapad |
| Oct 20, 2019 | Graničar Županja(away) | 2-4 | Third NL - Zapad |
| Oct 12, 2019 | Belišće(home) | 2-0 | Third NL - Zapad |
| Oct 5, 2019 | Vuteks-Sloga(away) | 2-0 | Third NL - Zapad |
| Sep 28, 2019 | Sloga Nova Gradiška(home) | 5-0 | Third NL - Zapad |
How many goals should we expect?
Marsonia score 1.5 and concede 0.6 goals per match over their last 14; Slavonija Požega score 2.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marsonia | 1.5 | 0.6 | 6 | 7/14 | 5/14 |
| Slavonija Požega | 2.2 | 1.2 | 6 | 6/13 | 6/13 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Marsonia sit 1st in Third NL - Zapad (29 points from 14 matches) and Slavonija Požega sit 4th (28 points from 14 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Marsonia | 14 | 8 | 5 | 1 | 30 | 14 | 29 |
| 4 | Slavonija Požega | 14 | 8 | 4 | 2 | 27 | 13 | 28 |
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