Fomat Martin vs Beluša: result 0-0 and analysis
3. liga - WestWest - 14Kick-off on November 5, 2022 at 12:00 PM (UTC)Športový park Pltníky, Martin-Záturčie
Full time
What was the result of Fomat Martin vs Beluša?
Fomat Martin and Beluša drew 0-0 on November 5, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fomat Martin have 6 wins, 1 draws and 8 defeats; Beluša have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2022 | Podkonice(home) | 1-3 | 3. liga - West |
| Oct 22, 2022 | Slovan Duslo Šaľa(away) | 1-3 | 3. liga - West |
| Oct 15, 2022 | Galanta(home) | 2-4 | 3. liga - West |
| Oct 8, 2022 | Nové Mesto nad Váhom(away) | 3-0 | 3. liga - West |
| Oct 1, 2022 | Sereď(home) | 1-2 | 3. liga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Slovan Duslo Šaľa(home) | 3-1 | 3. liga - West |
| Oct 23, 2022 | Galanta(away) | 0-1 | 3. liga - West |
| Oct 16, 2022 | Nové Mesto nad Váhom(home) | 1-0 | 3. liga - West |
| Oct 8, 2022 | Sereď(away) | 0-0 | 3. liga - West |
| Oct 2, 2022 | Hamsik Academy(home) | 2-2 | 3. liga - West |
How many goals should we expect?
Fomat Martin score 1.7 and concede 1.6 goals per match over their last 15; Beluša score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fomat Martin | 1.7 | 1.6 | 2 | 10/15 | 10/15 |
| Beluša | 2.1 | 1.4 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Fomat Martin sit 14th in 3. liga - West (31 points from 32 matches) and Beluša sit 10th (43 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Beluša | 32 | 12 | 7 | 13 | 46 | 49 | 43 |
| 14 | Fomat Martin | 32 | 8 | 7 | 17 | 41 | 51 | 31 |
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