UEFA Champions League · Predictions

2026-10-21 · 9 fixtures

Live matches first, then by kick-off time.

16:45Wed
Como
Manchester United
UEFA Champions League
156%
X21%
224%
O2.567%
U2.533%
1280%Over 2.567%
16:45Wed
LOSC Lille
Galatasaray SK
UEFA Champions League
145%
X23%
232%
O2.563%
U2.537%
1277%Over 2.563%
19:00Wed
Bayern München
Arsenal FC
UEFA Champions League
170%
X16%
214%
O2.576%
U2.524%
1X86%Over 2.576%
19:00Wed
Inter Milan
FC Shakhtar Donetsk
UEFA Champions League
166%
X17%
217%
O2.575%
U2.525%
1X83%Over 2.575%
19:00Wed
Club Brugge KV
Lens
UEFA Champions League
163%
X19%
219%
O2.572%
U2.528%
1X82%Under 4.569%
19:00Wed
Real Madrid
RB Leipzig
UEFA Champions League
168%
X17%
215%
O2.570%
U2.530%
1X85%Over 2.570%
19:00Wed
Real Betis
Feyenoord
UEFA Champions League
145%
X23%
232%
O2.565%
U2.535%
1277%Over 2.565%
19:00Wed
Aston Villa FC
Viking FK
UEFA Champions League
144%
X23%
233%
O2.564%
U2.536%
1277%Over 2.564%
19:00Wed
Sporting Lisbon
LASK
UEFA Champions League
165%
X18%
217%
O2.572%
U2.528%
1X83%Over 2.573%

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 Champions League, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.

Yes, all UEFA Champions 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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