Zl. Moravce-Vrablé II vs Slovan Duslo Šaľa: result 1-0 and analysis
3. liga - WestWest - 10Kick-off on October 10, 2020 at 12:30 PM (UTC)Futbalový štadión na Levickej ulici, Vráble
Full time
What was the result of Zl. Moravce-Vrablé II vs Slovan Duslo Šaľa?
Zl. Moravce-Vrablé II won 1-0 on October 10, 2020.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Zl. Moravce-Vrablé II have 6 wins, 2 draws and 1 defeat; Slovan Duslo Šaľa have 5, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Malženice(away) | 1-3 | 3. liga - West |
| Sep 27, 2020 | Nové Zámky(home) | 2-0 | 3. liga - West |
| Sep 19, 2020 | Považská Bystrica(away) | 2-1 | 3. liga - West |
| Sep 13, 2020 | Kalná nad Hronom(home) | 2-0 | 3. liga - West |
| Sep 5, 2020 | Častkovce(away) | 0-0 | 3. liga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2020 | Kalná nad Hronom(home) | 1-0 | 3. liga - West |
| Oct 2, 2020 | Nitra II(home) | 1-0 | 3. liga - West |
| Sep 26, 2020 | Nové Mesto nad Váhom(away) | 2-4 | 3. liga - West |
| Sep 20, 2020 | Malženice(away) | 1-3 | 3. liga - West |
| Sep 11, 2020 | Nové Zámky(home) | 8-1 | 3. liga - West |
How many goals should we expect?
Zl. Moravce-Vrablé II score 1.7 and concede 0.7 goals per match over their last 9; Slovan Duslo Šaľa score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zl. Moravce-Vrablé II | 1.7 | 0.7 | 5 | 4/9 | 5/9 |
| Slovan Duslo Šaľa | 1.8 | 1.4 | 3 | 4/10 | 5/10 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Slovan Duslo Šaľa | 32 | 13 | 5 | 14 | 46 | 51 | 44 |
A question about Zl. Moravce-Vrablé II vs Slovan Duslo Šaľa?
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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