Nové Zámky vs Beluša: result 1-5 and analysis
3. liga - WestWest - 11Kick-off on May 30, 2021 at 03:00 PM (UTC)Štadión Ladislava Gancznera, Nové Zámky
Full time
What was the result of Nové Zámky vs Beluša?
Beluša won 1-5 on May 30, 2021.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Nové Zámky have 2 wins, 0 draws and 8 defeats; Beluša have 7, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Spartak Myjava(away) | 0-3 | 3. liga - West |
| Oct 4, 2020 | Imeľ(home) | 1-2 | 3. liga - West |
| Sep 27, 2020 | Zl. Moravce-Vrablé II(away) | 0-2 | 3. liga - West |
| Sep 20, 2020 | Nitra II(home) | 2-1 | 3. liga - West |
| Sep 15, 2020 | Nové Mesto nad Váhom(away) | 1-2 | 3. liga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2020 | Považská Bystrica(home) | 4-4 | 3. liga - West |
| Oct 3, 2020 | Kalná nad Hronom(away) | 1-1 | 3. liga - West |
| Sep 27, 2020 | Častkovce(home) | 1-0 | 3. liga - West |
| Sep 20, 2020 | Galanta(away) | 2-1 | 3. liga - West |
| Sep 13, 2020 | Marcelová(home) | 4-1 | 3. liga - West |
How many goals should we expect?
Nové Zámky score 0.8 and concede 2.9 goals per match over their last 10; Beluša score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nové Zámky | 0.8 | 2.9 | 0 | 6/10 | 8/10 |
| Beluša | 2.3 | 1.1 | 4 | 6/12 | 6/12 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Nové Zámky sit 9th in 3. liga - West (44 points from 32 matches) and Beluša sit 10th (43 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Nové Zámky | 32 | 13 | 5 | 14 | 41 | 45 | 44 |
| 10 | Beluša | 32 | 12 | 7 | 13 | 46 | 49 | 43 |
A question about Nové Zámky vs Beluša?
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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