2026-09-24 · 0 fixtures
Live matches first, then by kick-off time.
No fixtures found · Sep 24, 2026
Tomorrow| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Manchester City | 5 | 5 | 0 | 0 | 13 | 5 | +8 | 15 |
| 2 | Arsenal FC | 5 | 4 | 0 | 1 | 8 | 4 | +4 | 12 |
| 3 | Brighton & Hove Albion | 5 | 3 | 1 | 1 | 16 | 5 | +11 | 10 |
| 4 | Brentford | 5 | 2 | 3 | 0 | 10 | 4 | +6 | 9 |
| 5 | Leeds | 5 | 2 | 3 | 0 | 7 | 3 | +4 | 9 |
| 6 | Liverpool FC | 5 | 2 | 3 | 0 | 7 | 4 | +3 | 9 |
| 7 | Everton | 5 | 2 | 3 | 0 | 6 | 3 | +3 | 9 |
| 8 | Hull City | 5 | 2 | 2 | 1 | 6 | 4 | +2 | 8 |
| 9 | Newcastle United | 5 | 2 | 2 | 1 | 9 | 9 | 0 | 8 |
| 10 | Chelsea | 5 | 2 | 1 | 2 | 10 | 12 | -2 | 7 |
| 11 | Ipswich Town | 5 | 2 | 0 | 3 | 7 | 11 | -4 | 6 |
| 12 | Manchester United | 5 | 1 | 2 | 2 | 8 | 8 | 0 | 5 |
| 13 | Nottingham Forest | 5 | 1 | 2 | 2 | 4 | 5 | -1 | 5 |
| 14 | Sunderland | 5 | 1 | 1 | 3 | 6 | 10 | -4 | 4 |
| 15 | Crystal Palace | 5 | 1 | 1 | 3 | 6 | 11 | -5 | 4 |
| 16 | Aston Villa FC | 5 | 1 | 1 | 3 | 4 | 9 | -5 | 4 |
| 17 | AFC Bournemouth | 5 | 0 | 3 | 2 | 6 | 8 | -2 | 3 |
| 18 | Coventry City | 5 | 1 | 0 | 4 | 1 | 10 | -9 | 3 |
| 19 | Fulham | 5 | 0 | 2 | 3 | 5 | 8 | -3 | 2 |
| 20 | Tottenham Hotspur | 5 | 0 | 2 | 3 | 2 | 8 | -6 | 2 |
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 Premier League, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.
Yes, all Premier 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.