2026-11-11 · 0 fixtures
Live matches first, then by kick-off time.
No fixtures found · Nov 11, 2026
Tomorrow| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | CSKA Sofia | 14 | 10 | 4 | 0 | 32 | 9 | +23 | 34 |
| 2 | PFC Levski Sofia | 13 | 10 | 2 | 1 | 25 | 8 | +17 | 32 |
| 3 | PFC Ludogorets 1945 Razgrad | 13 | 9 | 3 | 1 | 26 | 11 | +15 | 30 |
| 4 | FC CSKA 1948 | 14 | 9 | 2 | 3 | 33 | 16 | +17 | 29 |
| 5 | Botev Plovdiv | 14 | 7 | 2 | 5 | 23 | 21 | +2 | 23 |
| 6 | FC Arda Kardzhali | 14 | 6 | 3 | 5 | 20 | 22 | -2 | 21 |
| 7 | Spartak Varna | 14 | 4 | 4 | 6 | 15 | 25 | -10 | 16 |
| 8 | Slavia Sofia | 14 | 2 | 8 | 4 | 9 | 9 | 0 | 14 |
| 9 | PFC Cherno More Varna | 14 | 3 | 4 | 7 | 14 | 22 | -8 | 13 |
| 10 | Dunav 2010 | 14 | 3 | 3 | 8 | 16 | 23 | -7 | 12 |
| 11 | PFC Lokomotiv Plovdiv | 14 | 3 | 3 | 8 | 8 | 18 | -10 | 12 |
| 12 | FK Septemvri Sofia | 14 | 3 | 2 | 9 | 12 | 25 | -13 | 11 |
| 13 | Botev Vratsa | 14 | 2 | 4 | 8 | 11 | 24 | -13 | 10 |
| 14 | Lokomotiv Sofia | 14 | 1 | 6 | 7 | 15 | 26 | -11 | 9 |
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 First Professional League, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.
Yes, all First Professional 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.