Matchday 8 of 22
36%
League Table
End of season projections
Monte Carlo simulation · 10,000 simulated seasons · updated 15 Sep 2026
Champion
| Team | Zone probability | Projected Pts | Schedule | Trend |
|---|---|---|---|---|
|
51 (32–61)
pos. ~1.2°
|
C8 · T6
ELO 1501
|
· | ||
|
42 (23–59)
pos. ~2.8°
|
C6 · T8
ELO 1515
|
▲0% | ||
|
40 (22–56)
pos. ~3.1°
|
C7 · T7
ELO 1499
|
▼0% | ||
|
39 (21–55)
pos. ~3.3°
|
C7 · T7
ELO 1495
|
▼0% | ||
|
29 (12–47)
pos. ~6.5°
|
C7 · T7
ELO 1504
|
· | ||
|
27 (11–47)
pos. ~7.2°
|
C7 · T7
ELO 1513
|
· | ||
|
30 (12–48)
pos. ~6.1°
|
C7 · T7
ELO 1494
|
· | ||
|
24 (9–42)
pos. ~8.6°
|
C8 · T6
ELO 1509
|
· | ||
|
22 (8–38)
pos. ~9.3°
|
C7 · T7
ELO 1498
|
· | ||
|
21 (7–38)
pos. ~9.3°
|
C8 · T6
ELO 1509
|
· | ||
|
18 (6–41)
pos. ~10.6°
|
C6 · T8
ELO 1510
|
· | ||
|
20 (6–35)
pos. ~10.0°
|
C6 · T8
ELO 1508
|
· |
% = 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.
Upcoming matches
Recent results
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.