Săcele vs Urban Titu: result 0-0 and analysis
Liga III - Serie 4Group 4 - 5Kick-off on September 23, 2025 at 02:00 PM (UTC)StadionulPrecizia Săcele, Săcele
Full time
What was the result of Săcele vs Urban Titu?
Săcele and Urban Titu drew 0-0 on September 23, 2025.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Săcele have 3 wins, 3 draws and 5 defeats; Urban Titu have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2025 | Olimpic Zărneşti(away) | 1-2 | Liga III - Serie 4 |
| Sep 13, 2025 | Valenii de Munte(away) | 2-2 | Liga III - Serie 4 |
| Sep 6, 2025 | Baicoi(home) | 1-3 | Liga III - Serie 4 |
| Aug 29, 2025 | Ştefăneşti(away) | 3-3 | Liga III - Serie 4 |
| Aug 6, 2025 | ACS Mediaş 2022(home) | 1-3 | Cupa României |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2025 | Baicoi(away) | 1-1 | Liga III - Serie 4 |
| Sep 6, 2025 | Ştefăneşti(home) | 2-3 | Liga III - Serie 4 |
| Aug 30, 2025 | Voința Crevedia(away) | 1-0 | Liga III - Serie 4 |
| Jul 30, 2025 | Flacăra Moreni(away) | 0-2 | Cupa României |
| May 16, 2025 | Blejoi(away) | 0-3 | Liga III - Serie 5 |
How many goals should we expect?
Săcele score 1.6 and concede 2.3 goals per match over their last 11; Urban Titu score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Săcele | 1.6 | 2.3 | 1 | 9/11 | 8/11 |
| Urban Titu | 0.7 | 1.5 | 5 | 5/15 | 5/15 |
Over the last 11 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 Urban Titu sit 6th (33 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Săcele | 7 | 2 | 3 | 2 | 12 | 8 | 34 |
| 6 | Urban Titu | 7 | 1 | 1 | 5 | 3 | 11 | 33 |
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