Muscelul Câmpulung Elite vs Pucioasa: result 1-0 and analysis
Liga III - Serie 4Group 4 · Matchday 7Kick-off on October 7, 2022 at 12:00 PM (UTC)Stadionul Muscelul, Câmpulung Muscel
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What was the result of Muscelul Câmpulung Elite vs Pucioasa?
Muscelul Câmpulung Elite won 1-0 on October 7, 2022.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Muscelul Câmpulung Elite have 0 wins, 1 draw and 4 defeats; Pucioasa have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2022 | Popești-Leordeni(away) | 1-2 | Liga III - Serie 4 |
| Sep 23, 2022 | Real Bradu(home) | 0-1 | Liga III - Serie 4 |
| Sep 16, 2022 | FCSB II(away) | 0-5 | Liga III - Serie 4 |
| Sep 3, 2022 | Flacăra Moreni(away) | 0-2 | Liga III - Serie 4 |
| Aug 27, 2022 | Unirea Bascov(home) | 0-0 | Liga III - Serie 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2022 | Flacăra Moreni(home) | 2-2 | Liga III - Serie 4 |
| Sep 24, 2022 | Popești-Leordeni(away) | 0-2 | Liga III - Serie 4 |
| Sep 16, 2022 | Unirea Bascov(home) | 2-0 | Liga III - Serie 4 |
| Sep 9, 2022 | Real Bradu(away) | 1-1 | Liga III - Serie 4 |
| Sep 2, 2022 | Tunari(home) | 0-2 | Liga III - Serie 4 |
How many goals should we expect?
Muscelul Câmpulung Elite score 0.2 and concede 2.0 goals per match over their last 5; Pucioasa score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muscelul Câmpulung Elite | 0.2 | 2.0 | 1 | 1/5 | 2/5 |
| Pucioasa | 2.0 | 1.5 | 7 | 5/15 | 5/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Pucioasa | 7 | 3 | 0 | 4 | 9 | 10 | 29 |
A question about Muscelul Câmpulung Elite vs Pucioasa?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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