UEFA Champions League · Predictions

2026-09-26 · 0 fixtures

Live matches first, then by kick-off time.

No fixtures found · Sep 26, 2026

Tomorrow
#TeamPWDLGFGAGDPts
1Paris Saint-Germain110061+53
2Bayern München110050+53
3FC Barcelona110051+43
4Manchester United110040+43
5Como110041+33
6Sporting Lisbon110031+23
7VfB Stuttgart110031+23
8Manchester City110020+23
9Real Betis110032+13
10Lens110032+13
11Aston Villa FC110032+13
12Borussia Dortmund110032+13
13Real Madrid110021+13
14Liverpool FC110021+13
15Arsenal FC110010+13
16AEK110010+13
17AS Roma10101101
18FC Shakhtar Donetsk10101101
19Fenerbahce Istanbul10101101
20PSV Eindhoven10101101
21Villarreal CF100123-10
22Slavia Prague100123-10
23Club Brugge KV100123-10
24LOSC Lille100123-10
25Atletico Madrid100112-10
26Inter Milan100112-10
27LASK100101-10
28Napoli100101-10
29Galatasaray SK100113-20
30Viking FK100113-20
31FC Porto100102-20
32RB Leipzig100114-30
33Feyenoord100115-40
34Sabah FC100104-40
35SK Slovan Bratislava100116-50
36Bodø/Glimt100105-50
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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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