· UEFA Youth League
Clermont U19
ATT
5/10
DEF
5/10
1:2
Legia Warszawa U19
5/10
ATT
5/10
DEF
Full-time
Best Pick
Over 2.5
69%
Correct Score92′
Top
2-1
8.9%
10.00
Top
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 — Expected Goals
Clermont U19
Clermont U19 exp
Legia Warszawa U19
Legia Warszawa U19 exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Clermont U19
Legia Warszawa U19
Lineups not yet announced — full squad analysis below
Clermont U191 players
45.0/ 99Average
Top Rated
1Jean Nyindong TsamounaFWD45
Legia Warszawa U1910 players
49.9/ 99Average
Top Rated
1Erik MikanovichMID64
2Aleksander WyganowskiMID60
3Jan BiendugaGK56
Clermont U192
PlayerOverall RatingImpactAggressionDiscipline
9
Jean Nyindong Tsamouna45454550
Florian Mekue————
Legia Warszawa U1923
PlayerOverall RatingImpactAggressionDiscipline
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————
Player Rankings
Snipers
Top goal threats
1
Jean Nyindong TsamounaClermont U19
45
2
Jan GawareckiLegia Warszawa U19
45
Wall
Top defenders
1
Bartosz KorzyńskyLegia Warszawa U19
45
2
Franciszek PollokLegia Warszawa U19
45
Control
Top playmakers
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
Bad Boys
Most likely to get booked
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
Power Rankings
Strongest overall
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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