League Table
End of season projections
Monte Carlo simulation · 10,000 simulated seasons · updated 15 Sep 2026
Champion
Champions League
Europa League
Conference League
Relegation Playoff
Relegation
| Team | Zone probability | Projected Pts | Schedule | Trend |
|---|---|---|---|---|
|
51 (31–64)
pos. ~1.2°
|
C7 · T8
ELO 1493
|
▲0% | ||
|
43 (27–58)
pos. ~2.4°
|
C7 · T7
ELO 1498
|
▼1% | ||
|
42 (19–60)
pos. ~2.8°
|
C7 · T8
ELO 1487
|
▲1% | ||
|
34 (17–53)
pos. ~4.8°
|
C7 · T7
ELO 1506
|
▲0% | ||
|
29 (13–48)
pos. ~6.6°
|
C7 · T8
ELO 1512
|
▲0% | ||
|
25 (10–45)
pos. ~8.6°
|
C7 · T7
ELO 1515
|
▲0% | ||
|
26 (11–45)
pos. ~8.1°
|
C7 · T7
ELO 1506
|
▲0% | ||
|
25 (10–44)
pos. ~8.4°
|
C8 · T7
ELO 1518
|
▲0% | ||
|
27 (8–45)
pos. ~7.6°
|
C7 · T8
ELO 1517
|
· | ||
|
23 (7–41)
pos. ~9.4°
|
C8 · T7
ELO 1510
|
▼0% | ||
|
26 (10–44)
pos. ~7.9°
|
C8 · T6
ELO 1502
|
▼1% | ||
|
21 (7–37)
pos. ~10.3°
|
C7 · T7
ELO 1526
|
▲1% |
% = 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
Player statistics
Model & advanced data
Model calibration for this league▾
| Probability band | Sample | Expected (mid) | Actual | Δ |
|---|---|---|---|---|
| 50–60%% | 8 | 55.00% | 75.0% | +20.00% |
| 60–70%% | 7 | 65.00% | 71.4% | +6.40% |
| 70–100%% | 3 | 85.00% | 66.7% | -18.30% |
Based on 18 verified predictions · Δ ≤ 5% = excellent calibration
xG: who scores more (or less) than they deserve▾
| # | Team | Goals | xG | Δ | |
|---|---|---|---|---|---|
| 1 |
BSC Young Boys
|
16 | 8.88 | +7.12 | |
| 2 |
FC Lugano
|
13 | 7.29 | +5.71 | |
| 3 |
FC Thun
|
9 | 4.14 | +4.86 | |
| 4 |
FC Vaduz
|
12 | 8.35 | +3.65 | |
| 5 |
FC Basel 1893
|
7 | 5.46 | +1.54 | |
| 6 |
Lausanne
|
4 | 3.20 | +0.80 | |
| 7 |
FC ST. Gallen
|
10 | 9.97 | +0.03 | |
| 8 |
FC Sion
|
9 | 9.08 | -0.08 | |
| 9 |
FC Zurich
|
4 | 4.43 | -0.43 | |
| 10 |
FC Luzern
|
4 | 5.45 | -1.45 | |
| 11 |
Grasshoppers
|
5 | 6.50 | -1.50 | |
| 12 |
Servette FC
|
3 | 4.64 | -1.64 |
Δ = Goals scored − accumulated xG · green = overperforms, red = underperforms
Frequently Asked Questions
What predictions are available for Super League?
For Super League, 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 League?
Accuracy for Super League is tracked match by match and shown on this page. The model is calibrated specifically for Super League using per-league historical data.
How are Super League 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.
BSC Young Boys
FC Lugano
FC Thun
FC Vaduz
FC Basel 1893
Lausanne
FC ST. Gallen
FC Sion
FC Zurich
FC Luzern
Grasshoppers
Servette FC