SSU Politehnica Timisoara II vs Progresul Pecica kick-off time
ScoreMondo estimate
MoreMost likely score: 1-2 (8%)
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
Last 5 · Recent meetings
More- SSU Politehnica Timisoara IILLWLDScored in 3 matches in a row
- Progresul PecicaLWLLL
- Liga III - Serie 7Progresul Pecica5 - 2SSU Politehnica Timisoara II
Liga 3
More| # | Team | P | GD | Pts |
|---|---|---|---|---|
| 1 | CS Minaur Baia Mare | 12 | +25 | 29 |
| 2 | CS Sanatatea Cluj | 12 | +12 | 25 |
| 3 | CS Academica Recea | 12 | +7 | 21 |
| 4 | CS Crisul Santandrei | 12 | +3 | 21 |
| 5 | SCM Zalau | 12 | +7 | 19 |
Line-ups
Line-ups not announced yetOfficial line-ups usually come about an hour before kick-off.
SSU Politehnica Timisoara II and Progresul Pecica meet on in Liga 3.
Pre-match analysis
Not started
- Scoreno
- Statisticsno
- Line-upsyes
- Pitch animationno
- Pressure datano
- Model estimateyes
Before kick-off the model leans towards Progresul Pecica (44%).
Chances to win
Model estimate
Our own statistical model's estimate — a probability, not a certainty. How is this calculated? →
Preview
SSU Politehnica Timisoara II vs Progresul Pecica: preview
SSU Politehnica Timisoara II have won 1, drawn 1 and lost 3 of their last 5 matches. SSU Politehnica Timisoara II have scored in 3 matches in a row. 6 of SSU Politehnica Timisoara II's last 10 matches had 3 or more goals, and both sides scored in 7. Progresul Pecica have won 1, drawn 0 and lost 4 of their last 5 matches. 10 of Progresul Pecica's last 10 matches had 3 or more goals, and both sides scored in 6.
Our pre-match model estimate: SSU Politehnica Timisoara II 35%, draw 21%, Progresul Pecica 44%.
Match simulation
Model estimate · 20,000 simulationsModel simulation (20,000 runs): SSU Politehnica Timisoara II win in 35% of the simulated matches, 21% end level and Progresul Pecica win 44%. Average goals 3.7; the most likely score is 1-1 (9%); both teams score in 70%.
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
