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League Table
End of season projections
Monte Carlo simulation · 10,000 simulated seasons · updated 29 Jul 2026
Champion
| # | Team | Zone probability | Projected Pts | Schedule | Trend |
|---|---|---|---|---|---|
| 1 |
41 (16–62)
pos. ~2.2°
|
C11 · T10
ELO 1501
|
▼0% | ||
| 2 |
32 (12–56)
pos. ~5.7°
|
C10 · T11
ELO 1519
|
▲1% | ||
| 3 |
30 (9–55)
pos. ~6.4°
|
C10 · T11
ELO 1514
|
▲0% | ||
| 4 |
31 (8–53)
pos. ~6.2°
|
C11 · T10
ELO 1515
|
▼0% | ||
| 5 |
33 (12–56)
pos. ~5.1°
|
C11 · T10
ELO 1514
|
▼0% | ||
| 6 |
32 (10–55)
pos. ~5.8°
|
C10 · T11
ELO 1514
|
▼0% | ||
| 7 |
28 (5–51)
pos. ~7.8°
|
C10 · T11
ELO 1519
|
· | ||
| 8 |
29 (8–52)
pos. ~7.4°
|
C10 · T11
ELO 1522
|
▼0% | ||
| 9 |
28 (9–49)
pos. ~7.6°
|
C11 · T10
ELO 1522
|
▲0% | ||
| 10 |
30 (9–52)
pos. ~6.6°
|
C11 · T10
ELO 1516
|
▲0% | ||
| 11 |
26 (5–51)
pos. ~8.5°
|
C11 · T10
ELO 1520
|
· | ||
| 12 |
26 (6–49)
pos. ~8.6°
|
C10 · T11
ELO 1505
|
· |
% = probability of reaching that zone or better. Each sparkline shows the trend of the most relevant probability for each team over the last 12 daily simulations.
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Frequently Asked Questions
What predictions are available for Super Liga?
For Super Liga, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for Super Liga?
Accuracy for Super Liga is tracked match by match and shown on this page. The model is calibrated specifically for Super Liga using per-league historical data.
How are Super Liga season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.