· UEFA Youth League
Clermont U19
ATT
5/10
DEF
5/10
1:2
Legia Warszawa U19
5/10
ATT
5/10
DEF
Konec
Nejlepší tip
Nad 2.5
69%
Přesný výsledek92′
Výborná
2-1
8.9%
10.00
Výborná
1-1
8.8%
9.50
2-2
6.9%
13.00
1-2
6.8%
15.00
3-1
6.1%
12.00
2-0
5.8%
11.00
1-0
5.7%
13.00
3-2
4.7%
19.00
149%
2.04TOP
X21%
4.67
230%
3.39
1X70%
X251%
1279%
xG — Očekávané góly
Clermont U19
Clermont U19 oček.
Legia Warszawa U19
Legia Warszawa U19 oček.
goal
za 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Clermont U19
Legia Warszawa U19
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
Clermont U191 hráči
45.0/ 99Průměrný
Nejlepší
1Jean Nyindong TsamounaFWD45
Legia Warszawa U1910 hráči
49.9/ 99Průměrný
Nejlepší
1Erik MikanovichMID64
2Aleksander WyganowskiMID60
3Jan BiendugaGK56
Clermont U192
PlayerCelkové HodnoceníImpaktAgreseDisciplína
9
Jean Nyindong Tsamouna45454550
Florian Mekue————
Legia Warszawa U1923
PlayerCelkové HodnoceníImpaktAgreseDisciplína
11
Erik Mikanovich64784350
16
Aleksander Wyganowski60645750
1
Jan Bienduga56581750
8
Filip Przybyłko46454550
20
Franciszek Stępniewski46454550
6
Jakub Gliwa46454550
9
Szymon Piasta46454550
5
Bartosz Korzyńsky45454550
2
Franciszek Pollok45454550
7
Jan Gawarecki45454550
12
Denys Stolyarenko————
33
Ioannis Kechlimparis————
33
Nikodem Giminski————
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Jean Nyindong TsamounaClermont U19
45
2
Jan GawareckiLegia Warszawa U19
45
Zeď
Nejlepší obránci
1
Bartosz KorzyńskyLegia Warszawa U19
45
2
Franciszek PollokLegia Warszawa U19
45
Kontrola
Nejlepší tvůrci hry
1
Erik MikanovichLegia Warszawa U19
78
2
Aleksander WyganowskiLegia Warszawa U19
64
3
Filip PrzybyłkoLegia Warszawa U19
45
4
Franciszek StępniewskiLegia Warszawa U19
45
5
Jakub GliwaLegia Warszawa U19
45
Zlobivci
Nejpravděpodobnější žlutá karta
1
Jean Nyindong TsamounaClermont U19
50
2
Jan BiendugaLegia Warszawa U19
50
3
Bartosz KorzyńskyLegia Warszawa U19
50
4
Franciszek PollokLegia Warszawa U19
50
5
Aleksander WyganowskiLegia Warszawa U19
50
Žebříček síly
Nejsilnější celkově
1
Erik MikanovichLegia Warszawa U19
64
2
Aleksander WyganowskiLegia Warszawa U19
60
3
Jan BiendugaLegia Warszawa U19
56
4
Filip PrzybyłkoLegia Warszawa U19
46
5
Franciszek StępniewskiLegia Warszawa U19
46

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Clermont U19 vs Legia Warszawa U19 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 Clermont U19 vs Legia Warszawa U19 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 Clermont U19 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 Clermont U19 vs Legia Warszawa U19 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 Clermont U19 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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