Jupiler Pro League · AI predictions

Jupiler Pro League predictions: AI tips and probabilities for every match

1X2 probabilities, double chance, BTTS, Over/Under 2.5 and the most likely correct score for every Jupiler Pro League match — with reliability measured on the season's real results. Back automatically as soon as the new fixtures are out.

Data last updated:

88.9%Very stable predictionswin rate over 9 matches · 2025/26
81.5%Double chanceUltra high performance mode · 124 matches
62.5%Over/Under 2.5Ultra high performance mode · 16 matches
320Matches verifiedpredictions checked against the real score

Figures recomputed automatically from public history; displayed market stats keep the best available mode with enough volume. Match-by-match detail remains verifiable on past results.

Jupiler Pro League predictions: back next season

Jupiler Pro League is currently between seasons: predictions for the upcoming rounds will appear here automatically once the fixtures are published. Latest Stable or Very stable rated predictions from the 2025/26 season, against the real score:

24 May 2026Club Brugge KV – KAA La GantoiseClub Brugge KV win (64%)5-0
23 May 2026FCV Dender EH – Lommel UnitedLommel United win (74%)0-0
17 May 2026Lommel United – FCV Dender EHLommel United win (82%)3-2
10 May 2026Union Saint-Gilloise – KV MechelenUnion Saint-Gilloise win (62%)3-0
9 May 2026Club Brugge KV – K. Saint-Trond VVClub Brugge KV win (64%)2-0

The full season history, match by match and market by market, is on past results and the interactive Jupiler Pro League page.

The full interactive pageFull fixtures, standings, every market and round-by-round filters.Open the Jupiler Pro League page →

Reliability, badge by badge

Each prediction gets a stability badge before kick-off, then is checked against the real score. Here is the win rate of the highlighted profiles this season — the figure to look at before following a prediction.

Very stable 88.9% 8 predictions landed out of 9 matches (Very stable badge) · 2025/26 season

Clear favourite, clean context: the model's most reliable prediction profile.

Stable and better 96.6% 28 predictions landed out of 29 matches (Stable and Very stable badges) · 2025/26 season

Clear favourite with a comfortable margin over the other outcomes.

Correct and better 81.4% 48 predictions landed out of 59 matches (Correct, Stable and Very stable badges) · 2025/26 season

Solid lean, best cross-checked with the match probabilities.

The breakdown of every profile, including matches rated at risk, stays fully transparent on past results.

Beyond 1X2: BTTS, Over/Under and correct score

The model also covers Jupiler Pro League goal markets. For each market, this page keeps the best available mode among Performance, High performance and Ultra high performance over the 2025/26 season, with a minimum volume guard.

Double chance81.5%Ultra high performance mode · 124 matches

Cover two outcomes out of three (1X, X2 or 12): the model's safest call.

Over / Under 2.562.5%Ultra high performance mode · 16 matches

More or fewer than 2.5 goals: the model decides from its goal simulations.

Correct score51.6%final score in the top 5 · 320 matches

The 5 most likely scores are simulated; the top one lands 11.6% of the time.

Reading a Jupiler Pro League prediction in 3 steps

1The badge first

From Very stable to Correct, the badge sums up the model's confidence. Its real win rate per profile is shown above: that's the main cue.

2Then the probability

A 55% favourite still loses almost one match in two. Probabilities quantify uncertainty, they don't remove it.

3The right market last

Tight match? Double chance or BTTS are often more relevant than a plain 1X2. The likely score shows the dominant scenario.

The full methodology (Elo, goal simulations, calibration, context) is explained on the AI football prediction page.

Go further

FAQ – Jupiler Pro League AI predictions

Where can I find reliable, free Jupiler Pro League predictions?

This page gathers the AI Jupiler Pro League predictions from Foresportia: 1X2 probabilities, likely score, goal markets (BTTS, Over/Under) and a stability badge for every match, no sign-up. The full history is verifiable on the past results page.

How good is a “Very stable” prediction in Jupiler Pro League?

The stability badge rates each prediction on how clear the favourite is and how clean the context (stakes, rotation, derby). The more stable the badge, the more often the prediction lands. Over the 2025/26 season, Very stable predictions reached 88.9% accuracy across 9 matches.

Are there BTTS and Over/Under predictions for Jupiler Pro League too?

Yes. For every match the model estimates the probability that both teams score (BTTS) and that the game goes over or under 2.5 goals, on top of 1X2 and double chance. Over the 2025/26 season, the model's Over/Under 2.5 side in Ultra high performance mode landed 62.5% of the time and its favourite double chance in Ultra high performance mode landed 81.5% of the time.

How is the most likely correct score computed?

The model simulates each team's goal distribution (calibrated Poisson/lambda) and derives the five most likely scores of the match. Over the 2025/26 season, the final score was in that top 5 for 51.6% of Jupiler Pro League matches.

What do the 1X2 probabilities mean?

For each match three probabilities are estimated: home win (1), draw (X) and away win (2). They sum to 100%. A 60% probability means that, over many similar matches, the outcome would occur about 6 times out of 10.

Can an AI predict a Jupiler Pro League match with certainty?

No. Football is a low-scoring sport where randomness is structural. A serious AI quantifies that uncertainty instead of hiding it: that's the whole point of probabilities and the stability badge.

Jupiler Pro League AI predictions: probabilities, goal markets and verifiable reliability

For every Jupiler Pro League match Foresportia publishes a free AI prediction: 1X2 probabilities, double chance, BTTS, Over/Under 2.5, most likely correct score and a stability badge. Each prediction is archived then checked against the real score, so you can freely verify the model's reliability, season after season, with no sign-up.