Ligue 1 · Predictions

2026-10-30 · 3 fixtures

Live matches first, then by kick-off time.

Standings and table positions. Combined with our match predictions and analysis above for full context.

#TeamPWDLGFGAGDPts
1Paris Saint-Germain8521169+717
2Rennes85121814+416
3LOSC Lille8431116+515
4AS Monaco8431117+415
5Olympique Lyon8422137+614
6Paris FC8422139+414
7Lens84131612+413
8Marseille84041813+512
9Lorient833276+112
10OGC Nice8323810-211
11Toulouse82421211+110
12Auxerre83141218-610
13Stade Brestois 2982331412+29
14Angers8224915-68
15Le Mans81431116-57
16Strasbourg82151218-67
17Troyes8125516-115
18Le Havre8026815-72
UCLUELUECLREL

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 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.

HubTodayLiveCorrect ScoreAI SignalsPlayer props