100.0% average title probability
Belgium Jupiler Pro League race map
Belgium Jupiler Pro League Season Predictor 2015-2016
A standalone race page built off the site’s simulation engine. It surfaces title pressure, top 4 probability, relegation danger, model disagreement and the remaining fixtures carrying the most heat.
0.0% average title probability
100.0% average relegation risk
Gap score 0.0 between the two models
Race Storylines
Quick reads on how open the biggest season battles still are.
Teams with at least a 10% average title chance across the goal and form models.
These sides sit in the messy middle where a strong finish still materially changes the season outcome.
Average relegation probability between 15% and 85%, which is usually where the stress lives.
Title Race
The clubs with the strongest path to first place right now.
| Team | Pos | Pts | Exp Pts | Avg Title | Goal | Form |
|---|---|---|---|---|---|---|
| Club Brugge KV | 1 | 64 | 64.0 | 100.0% | 100.0% | 100.0% |
| Gent | 2 | 60 | 60.0 | 0.0% | 0.0% | 0.0% |
| Anderlecht | 3 | 55 | 55.0 | 0.0% | 0.0% | 0.0% |
| Oostende | 4 | 49 | 49.0 | 0.0% | 0.0% | 0.0% |
| Genk | 5 | 48 | 48.0 | 0.0% | 0.0% | 0.0% |
| Zulte Waregem | 6 | 43 | 43.0 | 0.0% | 0.0% | 0.0% |
Top 4 Battle
Who still has a realistic route into the high-value positions.
| Team | Pos | Avg Finish | Avg Top 4 | Avg Title | Momentum |
|---|---|---|---|---|---|
| Club Brugge KV | 1 | 1.0 | 100.0% | 100.0% | 0.0 |
| Gent | 2 | 2.0 | 100.0% | 0.0% | 0.0 |
| Anderlecht | 3 | 3.0 | 100.0% | 0.0% | 0.0 |
| Oostende | 4 | 4.0 | 100.0% | 0.0% | 0.0 |
| Genk | 5 | 5.0 | 0.0% | 0.0% | 0.0 |
| Zulte Waregem | 6 | 6.0 | 0.0% | 0.0% | 0.0 |
| Standard Liege | 7 | 7.0 | 0.0% | 0.0% | 0.0 |
| Charleroi | 8 | 8.0 | 0.0% | 0.0% | 0.0 |
Relegation Watch
The most exposed clubs if the rest of the season follows the current signal.
| Team | Pos | Pts | Avg Finish | Avg Bottom Finish | Goal | Form |
|---|---|---|---|---|---|---|
| OH Leuven | 16 | 29 | 16.0 | 100.0% | 100.0% | 100.0% |
| KVC Westerlo | 15 | 30 | 15.0 | 100.0% | 100.0% | 100.0% |
| St. Truiden | 14 | 30 | 14.0 | 0.0% | 0.0% | 0.0% |
| Royal Excel Mouscron | 13 | 30 | 13.0 | 0.0% | 0.0% | 0.0% |
| Waasland-beveren | 12 | 33 | 12.0 | 0.0% | 0.0% | 0.0% |
| Lokeren | 11 | 34 | 11.0 | 0.0% | 0.0% | 0.0% |
Model Disagreement
The sides where underlying goal strength and current points-form tell the most different story.
| Team | Goal Finish | Form Finish | Goal Exp Pts | Form Exp Pts | Gap |
|---|---|---|---|---|---|
| Club Brugge KV | 1 | 1 | 64.0 | 64.0 | 0.0 |
| Gent | 2 | 2 | 60.0 | 60.0 | 0.0 |
| Anderlecht | 3 | 3 | 55.0 | 55.0 | 0.0 |
| Oostende | 4 | 4 | 49.0 | 49.0 | 0.0 |
| Genk | 5 | 5 | 48.0 | 48.0 | 0.0 |
| Zulte Waregem | 6 | 6 | 43.0 | 43.0 | 0.0 |
High-Leverage Fixtures
The race-heat score highlights the remaining fixtures most likely to shape the season. It combines each club’s biggest live stake, such as the title race, top 4 push or relegation danger, with how open the match still looks in the two models. Higher scores point to games where the result could change the league picture more sharply than an ordinary fixture.
No remaining fixtures are available for a race-heat watchlist.
Full Simulation Tables
The full two-model output, including projected points and fixture-level win probabilities.
This tab shows two Monte Carlo models for Jupiler Pro League. The first is the goal-strength model, which estimates each match from how strongly teams have scored and conceded goals so far. The second is a points-form model built from points per game, home and away splits, and recent form, so it leans more on results momentum than raw goal output. Both simulate the remaining fixture list 50,000 times.
Simulations
1
Remaining Fixtures
0
Goal Model Base
1.68 / 1.22
Form Model Base
1.38 PPG
Model Comparison
| # | Team | Current Pts | Goal Exp Pts | Form Exp Pts | Goal Finish | Form Finish | Goal Title | Form Title | Goal Top 4 | Form Top 4 | Goal Bottom Finish (15-16) | Form Bottom Finish (15-16) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Club Brugge KV | 64 | 64.0 | 64.0 | 1 | 1 | 100.0% | 100.0% | 100.0% | 100.0% | 0.0% | 0.0% |
| 2 | Gent | 60 | 60.0 | 60.0 | 2 | 2 | 0.0% | 0.0% | 100.0% | 100.0% | 0.0% | 0.0% |
| 3 | Anderlecht | 55 | 55.0 | 55.0 | 3 | 3 | 0.0% | 0.0% | 100.0% | 100.0% | 0.0% | 0.0% |
| 4 | Oostende | 49 | 49.0 | 49.0 | 4 | 4 | 0.0% | 0.0% | 100.0% | 100.0% | 0.0% | 0.0% |
| 5 | Genk | 48 | 48.0 | 48.0 | 5 | 5 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 6 | Zulte Waregem | 43 | 43.0 | 43.0 | 6 | 6 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 7 | Standard Liege | 41 | 41.0 | 41.0 | 7 | 7 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 8 | Charleroi | 39 | 39.0 | 39.0 | 8 | 8 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 9 | Kortrijk | 39 | 39.0 | 39.0 | 9 | 9 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 10 | KV Mechelen | 37 | 37.0 | 37.0 | 10 | 10 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 11 | Lokeren | 34 | 34.0 | 34.0 | 11 | 11 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 12 | Waasland-beveren | 33 | 33.0 | 33.0 | 12 | 12 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 13 | Royal Excel Mouscron | 30 | 30.0 | 30.0 | 13 | 13 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 14 | St. Truiden | 30 | 30.0 | 30.0 | 14 | 14 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 15 | KVC Westerlo | 30 | 30.0 | 30.0 | 15 | 15 | 0.0% | 0.0% | 0.0% | 0.0% | 100.0% | 100.0% |
| 16 | OH Leuven | 29 | 29.0 | 29.0 | 16 | 16 | 0.0% | 0.0% | 0.0% | 0.0% | 100.0% | 100.0% |
Goal-Strength Fixture Probabilities
There are no remaining fixtures to simulate for the goal-strength model.
Points-Form Fixture Probabilities
There are no remaining fixtures to simulate for the points-form model.