Ligue 1
Paris SG vs Stade Rennais FC Cards
model probability
Expert AI analysis
The headline read is Over 3.5 cards at 37.4%, its strongest read on the Cards market. On the result, Paris SG are favoured at 81.3%, so game state could swing this market. It is a calibrated model probability, graded out-of-sample, not a tip.
Cards (bookings)
Bookings are a lower-liquidity market, so calibration matters most here, these are the model total-booking probabilities for Paris SG vs Stade Rennais FC. It tips Stade Rennais FC for the most cards.
In-depth analysis
For context, Paris SG are favoured at 81.3%. How the game flows often matters more here than the pre-match favourite.
We publish the model, not a sure thing. The track record is public, misses included.
Model lenses
Different analytical lenses our model applies to the same calibrated data, not separate tipsters, and never a tip.
Match outlook
The model leans Paris SG to win. See the full prediction →
Form & head-to-head
FAQ
How many cards in Paris SG vs Stade Rennais FC?
The model rates over 3.5 total cards at 37.4% for Paris SG vs Stade Rennais FC.
How is this probability calculated?
We fit a goals and markets model (Dixon-Coles plus an xG strength model and an ensemble) on real match data, then calibrate the output against out-of-sample results. It is a calibrated model probability, not an odds-derived tip.
Is this a betting tip?
No – these are calibrated model probabilities, graded against real results. We publish our full track record, including the misses, and never claim to beat the closing market.
Overall model accuracy
We don’t yet publish a graded Cards-specific track record, so this is our overall accuracy across every 1X2 call, graded out-of-sample, updated daily.
Predictions & track record updated 28 Jul 2026. See the full, dated track record →
More Ligue 1, Cards
Related
Model probabilities, calibration-graded, not a tip. We publish our track record, including the misses. 18+. For information only, not betting advice. If gambling is a problem, visit BeGambleAware.

