2026-10-30 · 3 fixtures
Live matches first, then by kick-off time.
| Kick | Match | 1 | X | 2 | Over 2.5 | Under | Our picks |
|---|---|---|---|---|---|---|---|
18:00Fri | Le Havre Paris Saint-Germain Ligue 1 | 22% | 25% | 52% | 46% | 54% | X277%Over 1.572% |
18:00Fri Le Havre Paris Saint-Germain Ligue 1 122% X25% 252% O2.546% U2.554% X277%Over 1.572% | |||||||
18:00Fri | OGC Nice Rennes Ligue 1 | 31% | 26% | 43% | 48% | 52% | 1274%Over 1.573% |
18:00Fri OGC Nice Rennes Ligue 1 131% X26% 243% O2.548% U2.552% 1274%Over 1.573% | |||||||
20:05Fri | LOSC Lille Lens Ligue 1 | 31% | 26% | 43% | 50% | 50% | 1274%Under 3.572% |
20:05Fri LOSC Lille Lens Ligue 1 131% X26% 243% O2.550% U2.550% 1274%Under 3.572% | |||||||
Standings and table positions. Combined with our match predictions and analysis above for full context.
| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Paris Saint-Germain | 8 | 5 | 2 | 1 | 16 | 9 | +7 | 17 |
| 2 | Rennes | 8 | 5 | 1 | 2 | 18 | 14 | +4 | 16 |
| 3 | LOSC Lille | 8 | 4 | 3 | 1 | 11 | 6 | +5 | 15 |
| 4 | AS Monaco | 8 | 4 | 3 | 1 | 11 | 7 | +4 | 15 |
| 5 | Olympique Lyon | 8 | 4 | 2 | 2 | 13 | 7 | +6 | 14 |
| 6 | Paris FC | 8 | 4 | 2 | 2 | 13 | 9 | +4 | 14 |
| 7 | Lens | 8 | 4 | 1 | 3 | 16 | 12 | +4 | 13 |
| 8 | Marseille | 8 | 4 | 0 | 4 | 18 | 13 | +5 | 12 |
| 9 | Lorient | 8 | 3 | 3 | 2 | 7 | 6 | +1 | 12 |
| 10 | OGC Nice | 8 | 3 | 2 | 3 | 8 | 10 | -2 | 11 |
| 11 | Toulouse | 8 | 2 | 4 | 2 | 12 | 11 | +1 | 10 |
| 12 | Auxerre | 8 | 3 | 1 | 4 | 12 | 18 | -6 | 10 |
| 13 | Stade Brestois 29 | 8 | 2 | 3 | 3 | 14 | 12 | +2 | 9 |
| 14 | Angers | 8 | 2 | 2 | 4 | 9 | 15 | -6 | 8 |
| 15 | Le Mans | 8 | 1 | 4 | 3 | 11 | 16 | -5 | 7 |
| 16 | Strasbourg | 8 | 2 | 1 | 5 | 12 | 18 | -6 | 7 |
| 17 | Troyes | 8 | 1 | 2 | 5 | 5 | 16 | -11 | 5 |
| 18 | Le Havre | 8 | 0 | 2 | 6 | 8 | 15 | -7 | 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 Ligue 1, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.
Yes, all Ligue 1 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.