UEFA Youth League · Predictions

2026-10-21 · 9 fixtures

Live matches first, then by kick-off time.

11:00Wed
Como U19
Manchester United U19
UEFA Youth League
150%
X21%
228%
O2.569%
U2.531%
1278%Over 2.569%
12:00Wed
Lille U19
Galatasaray U19
UEFA Youth League
151%
X21%
228%
O2.569%
U2.531%
1279%Over 2.569%
13:00Wed
Sporting CP U19
LASK UEFA U19
UEFA Youth League
150%
X21%
229%
O2.570%
U2.530%
1279%Over 2.570%
13:00Wed
Real Betis U19
Feyenoord U19
UEFA Youth League
161%
X19%
220%
O2.573%
U2.527%
1281%Over 2.573%
13:00Wed
Club Brugge U19
Lens U19
UEFA Youth League
153%
X21%
226%
O2.571%
U2.529%
1279%Over 2.571%
13:00Wed
Aston Villa U19
Viking U19
UEFA Youth League
157%
X20%
223%
O2.571%
U2.529%
1280%Over 2.571%
14:00Wed
Real Madrid U19
RB Leipzig U19
UEFA Youth League
149%
X22%
230%
O2.569%
U2.531%
1279%Over 2.569%
14:00Wed
Inter U19
Shakhtar Donetsk U19
UEFA Youth League
157%
X20%
223%
O2.572%
U2.528%
1280%Over 2.572%
14:00Wed
Bayern U19
Arsenal U19
UEFA Youth League
153%
X21%
226%
O2.571%
U2.529%
1279%Over 2.571%

Standings and table positions. Combined with our match predictions and analysis above for full context.

Frequently Asked Questions

Our power ratings measure each team's attacking and defensive strength on a 1-10 scale. Attack power is derived from expected goals (xG) creation, while defense power reflects xG conceded. A rating of 10 means elite, 5 is average, and 1 is weak. These ratings feed into the Poisson model that generates match predictions.

The attack number (ATT) shows how dangerous a team is at scoring — higher means more goals expected. The defense number (DEF) shows how well a team prevents goals — higher means fewer goals conceded. Together they determine the expected goals (xG) for each team in every match, which drives all scoreline probabilities.

Predictions use a Poisson distribution model. For each match, we calculate expected goals for both teams from their attack/defense power ratings. The model then computes the probability of every possible scoreline (0-0 through 5-5) and ranks them by likelihood. The same method applies to over/under, BTTS, and correct score markets.

Expected goals (xG) is a statistical measure that quantifies the likelihood of a shot becoming a goal. A team's cumulative xG across a match estimates how many goals they should score based on chance quality. In UEFA Youth League, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.

Yes, all UEFA Youth League predictions on ProSoccer are free. You can see match-by-match predictions including 1X2 probabilities, over/under lines, correct scores, and bet builder suggestions without paying or registering. Bookmaker odds are shown only after you tap to expand, keeping the content search-engine compliant.

Over/Under 2.5 goals is typically the most accurate market for statistical models, with 55-65% accuracy. Correct score predictions are lower-probability by nature but can identify value. 1X2 (match winner) accuracy varies by league competitiveness. Our model performs best on goal-line markets because goal distribution follows a Poisson pattern.

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