St. Gilloise vs
Lommel SK Both Teams to Score
model probability
Expert AI analysis
Our model lands on Both teams to score · No at 57.2%, its strongest read on the Both Teams to Score market. Recent output points the same way: St. Gilloise have averaged 2.8 scored and 0.6 conceded, Lommel SK 1.2 and 0.6 over their recent games. That fits an open goals environment: 56.2% for over 2.5 and 79.5% for at least two goals. St. Gilloise have seen both teams score in 2 of their last 5, Lommel SK in 1 of 5. It is a calibrated model probability, graded out-of-sample, not a tip.
Both Teams to Score
Recent scoring & conceding (per game)
2.8
0.6
1.2
0.6
Each team to score
By half
This season (2026/27)
Goals distribution
The model’s probability for the total number of goals, the shape behind every goals market. The 5+ bar groups every result with five or more goals.
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1
2
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5+
In-depth analysis
For the goal environment, the model sees 56.2% for three or more goals and 79.5% for at least two, painting a balanced picture. With St. Gilloise favoured at 74.5%, the scoreline often hinges on whether the favourite is made to chase.
We publish the model, not a sure thing. Calibration is our edge, not beating the market.
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 St. Gilloise to win. See the full prediction →
Form & head-to-head
Recent trends
How often both teams scored and the match went over 2.5 in each side’s recent games.
FAQ
Will both teams score in St. Gilloise vs Lommel SK?
Our calibrated model rates Both Teams to Score at 42.8% for St. Gilloise vs Lommel SK.
Will St. Gilloise score against Lommel SK?
The model rates St. Gilloise to score at 89.9% and Lommel SK to score at 47.2%.
How often have St. Gilloise seen both teams score recently?
St. Gilloise have seen both teams score in 2 of their last 5, Lommel SK in 1 of 5.
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.
Both Teams to Score accuracy
How our Both Teams to Score calls have actually performed, graded out-of-sample against real results.
In 20,236 matches we rated like this one (40–50%), Both Teams to Score actually happened 49.5% of the time.
Predictions & track record updated 13 Sep 2026. See the full, dated track record →
Our last 10 Both Teams to Score calls
The model’s most recent graded Both Teams to Score predictions, out-of-sample. Green means the call hit, red means it missed. The number is the model confidence on each.
More Pro League, Both Teams to Score
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.

