2026-10-05 · 5 fixtures
Live matches first, then by kick-off time.
| Kick | Match | 1 | X | 2 | Over 2.5 | Under | Our picks |
|---|---|---|---|---|---|---|---|
13:00Mon | Uganda Congo DR Friendly International | 49% | 25% | 26% | 52% | 48% | 1275%Under 3.571% |
13:00Mon Uganda Congo DR Friendly International 149% X25% 226% O2.552% U2.548% 1275%Under 3.571% | |||||||
14:30Mon | Montenegro U21 Armenia U21 UEFA U21 Championship Qualification | 50% | 23% | 27% | 60% | 40% | 1277%Under 3.562% |
14:30Mon Montenegro U21 Armenia U21 UEFA U21 Championship Qualification 150% X23% 227% O2.560% U2.540% 1277%Under 3.562% | |||||||
16:00Mon | Cyprus Latvia UEFA Nations League | 51% | 26% | 23% | 46% | 54% | 1X77%Over 1.571% |
16:00Mon Cyprus Latvia UEFA Nations League 151% X26% 223% O2.546% U2.554% 1X77%Over 1.571% | |||||||
16:00Mon | Rwanda Kenya Friendly International | 50% | 24% | 26% | 53% | 47% | 1276%Under 3.569% |
16:00Mon Rwanda Kenya Friendly International 150% X24% 226% O2.553% U2.547% 1276%Under 3.569% | |||||||
16:15Mon | Italy U21 Poland U21 UEFA U21 Championship Qualification | 54% | 21% | 25% | 65% | 35% | 1279%Over 2.565% |
16:15Mon Italy U21 Poland U21 UEFA U21 Championship Qualification 154% X21% 225% O2.565% U2.535% 1279%Over 2.565% | |||||||
Standings and table positions. Combined with our match predictions and analysis above for full context.
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 Nations League, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.
Yes, all UEFA Nations 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.