Săcele vs Pucioasa: result 2-0 and analysis
Liga III - Serie 4Group 4 - 9Kick-off on October 18, 2025 at 12:00 PM (UTC)StadionulPrecizia Săcele, Săcele
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What was the result of Săcele vs Pucioasa?
Săcele won 2-0 on October 18, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Săcele have 4 wins, 4 draws and 7 defeats; Pucioasa have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2025 | Tricolorul Breaza(away) | 1-2 | Liga III - Serie 4 |
| Oct 4, 2025 | Flacăra Moreni(home) | 0-4 | Liga III - Serie 4 |
| Sep 26, 2025 | Kids Tâmpa Braşov(away) | 1-0 | Liga III - Serie 4 |
| Sep 23, 2025 | Urban Titu(home) | 0-0 | Liga III - Serie 4 |
| Sep 20, 2025 | Olimpic Zărneşti(away) | 1-2 | Liga III - Serie 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2025 | Valenii de Munte(home) | 0-1 | Liga III - Serie 4 |
| Oct 4, 2025 | Baicoi(away) | 0-3 | Liga III - Serie 4 |
| Sep 27, 2025 | Ştefăneşti(home) | 0-2 | Liga III - Serie 4 |
| Sep 24, 2025 | Voința Crevedia(away) | 0-1 | Liga III - Serie 4 |
| Sep 20, 2025 | Progresul Mogosoaia(home) | 2-1 | Liga III - Serie 4 |
How many goals should we expect?
Săcele score 1.3 and concede 2.1 goals per match over their last 15; Pucioasa score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Săcele | 1.3 | 2.1 | 3 | 10/15 | 10/15 |
| Pucioasa | 1.1 | 1.7 | 2 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Săcele sit 5th in Liga III - Serie 4 (34 points from 7 matches) and Pucioasa sit 8th (29 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Săcele | 7 | 2 | 3 | 2 | 12 | 8 | 34 |
| 8 | Pucioasa | 7 | 3 | 0 | 4 | 9 | 10 | 29 |
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