· Liga 2
Popești-Leordeni
ATT
7/10
DEF
4/10
2:1
Metalul Buzău
5/10
ATT
7/10
DEF
Konec
Nejlepší tip
OBÁ SKÓRUJÍ
57%
Přesný výsledek92′
Výborná
1-1
11%
7.00
Výborná
2-1
9.7%
11.00
1-0
9.6%
9.50
2-0
8.5%
15.00
1-2
6.3%
10.00
0-1
6.2%
8.50
3-1
5.7%
21.00
2-2
5.6%
15.00
152%
1.92TOP
X23%
4.27
225%
4.06
1X75%
X248%
1277%
xG — Očekávané góly
Popești-Leordeni
Popești-Leordeni oček.
Metalul Buzău
Metalul Buzău oček.
goal
za 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Popești-Leordeni
Metalul Buzău
Probable XI4-4-2
Achiriloaei
Gheorghe
Nicola
Bobaru
Sin
Căpraru
Fîrținescu
Balgiu
Gunciu
Dane
Sora
Impact Player Hot Head
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
Popești-Leordeni8 hráči
52.3/ 99Průměrný
Nejlepší
1Marius Tudorică MID76
2Ștefan DuțuDEF54
3Raji AyomideMID49
Metalul Buzău15 hráči
47.9/ 99Průměrný
Nejlepší
1Valentin RobuFWD65
2Dănuț OpreaMID53
3Darius BăncilăDEF52
Popești-Leordeni35
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Marius Tudorică 76994750
Ștefan Duțu54535850
Raji Ayomide49436150
Mihai Neicuțescu49475450
Andrei Bobaru 48504550
Nicuşor Fota48494350
Juninho Monteiro47464650
R. Mustacă47464950
Alexandru Achiriloaei————
Marc Rădulescu————
Rareș Oprea————
Răzvan Began————
Alexandru Gheorghe————
Metalul Buzău27
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Valentin Robu65762650
Dănuț Oprea53408450
Darius Băncilă52436950
Claudiu Juncănaru51476050
Cristian Dumitru51562850
Iulian Dinu50512350
Florentin Puiu50524650
Yasuhiro Hanada50377650
Geani Creţu48475050
Alberto Olaru47484350
Adrian Moldovan47464850
Răzvan Milea44424250
Dănilă Parfeon42433750
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Valentin RobuMetalul Buzău
76
2
Cristian DumitruMetalul Buzău
56
3
Mihai NeicuțescuPopești-Leordeni
47
4
R. MustacăPopești-Leordeni
46
5
Adrian MoldovanMetalul Buzău
46
Zeď
Nejlepší obránci
1
Ștefan DuțuPopești-Leordeni
53
2
Florentin PuiuMetalul Buzău
52
3
Andrei Bobaru Popești-Leordeni
50
4
Nicuşor FotaPopești-Leordeni
49
5
Alberto OlaruMetalul Buzău
48
Kontrola
Nejlepší tvůrci hry
1
Marius Tudorică Popești-Leordeni
99
2
Geani CreţuMetalul Buzău
47
3
Juninho MonteiroPopești-Leordeni
46
4
Raji AyomidePopești-Leordeni
43
5
Răzvan MileaMetalul Buzău
42
Zlobivci
Nejpravděpodobnější žlutá karta
1
Andrei Bobaru Popești-Leordeni
50
2
Nicuşor FotaPopești-Leordeni
50
3
Ștefan DuțuPopești-Leordeni
50
4
Juninho MonteiroPopești-Leordeni
50
5
Marius Tudorică Popești-Leordeni
50
Žebříček síly
Nejsilnější celkově
1
Marius Tudorică Popești-Leordeni
76
2
Valentin RobuMetalul Buzău
65
3
Ștefan DuțuPopești-Leordeni
54
4
Dănuț OpreaMetalul Buzău
53
5
Darius BăncilăMetalul Buzău
52

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Popești-Leordeni vs Metalul Buzău based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Popești-Leordeni vs Metalul Buzău match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Popești-Leordeni has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Popești-Leordeni vs Metalul Buzău without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Popești-Leordeni a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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