FCSB II vs Popești-Leordeni: result 2-4 and analysis
Liga III - Serie 4Group 4 - 12Kick-off on November 11, 2022 at 12:00 PM (UTC)Baza ARCOM (teren 4 iarbă), Bucureşti
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What was the result of FCSB II vs Popești-Leordeni?
Popești-Leordeni won 2-4 on November 11, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FCSB II have 4 wins, 5 draws and 6 defeats; Popești-Leordeni have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2022 | Real Bradu(away) | 2-2 | Liga III - Serie 4 |
| Oct 28, 2022 | Pucioasa(away) | 1-1 | Liga III - Serie 4 |
| Oct 14, 2022 | Flacăra Moreni(home) | 1-3 | Liga III - Serie 4 |
| Oct 7, 2022 | Unirea Bascov(away) | 2-4 | Liga III - Serie 4 |
| Sep 30, 2022 | Tunari(home) | 0-2 | Liga III - Serie 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2022 | Flacăra Moreni(away) | 3-2 | Liga III - Serie 4 |
| Oct 21, 2022 | Unirea Bascov(away) | 1-0 | Liga III - Serie 4 |
| Oct 15, 2022 | Tunari(home) | 1-0 | Liga III - Serie 4 |
| Oct 8, 2022 | CS Dinamo București(away) | 0-3 | Liga III - Serie 4 |
| Oct 1, 2022 | Muscelul Câmpulung Elite(home) | 2-1 | Liga III - Serie 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 FCSB II win(s), 1 draw(s), 0 Popești-Leordeni win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2022 | Popești-Leordeni 1-1 FCSB II | Liga III - Serie 4 |
Last archived meeting: Popești-Leordeni vs FCSB II on Sep 10, 2022
How many goals should we expect?
FCSB II score 1.8 and concede 1.9 goals per match over their last 15; Popești-Leordeni score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FCSB II | 1.8 | 1.9 | 3 | 9/15 | 9/15 |
| Popești-Leordeni | 1.9 | 1.1 | 7 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
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