61.50%
1X2 accuracy · 13 predictions (3 months)
Matchday 13 of 30
43%
League Table
End of season projections
Monte Carlo simulation · 10,000 simulated seasons · updated 30 Oct 2026
Champion
Champions League
Europa League
Conference League
Relegation
| Team | Zone probability | Projected Pts | Schedule | Trend |
|---|---|---|---|---|
|
67 (47–81)
pos. ~1.8°
|
C9 · T8
ELO 1512
|
▼0% | ||
|
70 (50–80)
pos. ~1.4°
|
C8 · T9
ELO 1511
|
▲0% | ||
|
58 (38–76)
pos. ~3.2°
|
C7 · T9
ELO 1516
|
▲1% | ||
|
48 (30–69)
pos. ~5.5°
|
C9 · T8
ELO 1522
|
· | ||
|
51 (31–71)
pos. ~4.9°
|
C8 · T9
ELO 1512
|
· | ||
|
43 (25–62)
pos. ~7.6°
|
C8 · T9
ELO 1522
|
· | ||
|
43 (26–65)
pos. ~7.3°
|
C9 · T8
ELO 1523
|
· | ||
|
44 (27–64)
pos. ~7.2°
|
C9 · T8
ELO 1525
|
· | ||
|
39 (22–60)
pos. ~8.9°
|
C9 · T8
ELO 1526
|
· | ||
|
36 (20–54)
pos. ~10.2°
|
C8 · T9
ELO 1518
|
▲0% | ||
|
37 (19–56)
pos. ~9.8°
|
C9 · T8
ELO 1527
|
▲0% | ||
|
31 (16–50)
pos. ~12.4°
|
C9 · T8
ELO 1516
|
▲0% | ||
|
28 (14–47)
pos. ~13.3°
|
C8 · T9
ELO 1528
|
▲0% | ||
|
30 (13–49)
pos. ~12.7°
|
C8 · T9
ELO 1520
|
▼0% | ||
|
25 (9–45)
pos. ~14.3°
|
C8 · T9
ELO 1520
|
▼1% | ||
|
18 (5–36)
pos. ~15.7°
|
C9 · T7
ELO 1529
|
▲0% |
% = 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%% | 14 | 55.00% | 64.3% | +9.30% |
| 60–70%% | 12 | 65.00% | 58.3% | -6.70% |
Based on 27 verified predictions · Δ ≤ 5% = excellent calibration
xG: who scores more (or less) than they deserve▾
| # | Team | Goals | xG | Δ | |
|---|---|---|---|---|---|
| 1 |
Universitatea Cluj
|
10 | 5.37 | +4.63 | |
| 2 |
Farul Constanta
|
8 | 4.71 | +3.29 | |
| 3 |
Rapid
|
8 | 5.92 | +2.08 | |
| 4 |
Petrolul Ploiesti
|
6 | 4.87 | +1.13 | |
| 5 |
FCSB
|
9 | 8.43 | +0.57 | |
| 6 |
Csikszereda
|
3 | 2.99 | +0.01 | |
| 7 |
FC Voluntari
|
6 | 6.50 | -0.50 | |
| 8 |
CFR 1907 Cluj
|
3 | 3.84 | -0.84 | |
| 9 |
Oţelul
|
4 | 4.88 | -0.88 | |
| 10 |
Sepsi OSK Sfantu Gheorghe
|
1 | 2.34 | -1.34 | |
| 11 |
Corvinul Hunedoara
|
3 | 4.66 | -1.66 | |
| 12 |
Uta Arad
|
2 | 3.70 | -1.70 | |
| 13 |
FC Botosani
|
5 | 8.27 | -3.27 | |
| 14 |
Dinamo Bucuresti
|
6 | 9.84 | -3.84 | |
| 15 |
Arges Pitesti
|
2 | 6.68 | -4.68 |
Δ = Goals scored − accumulated xG · green = overperforms, red = underperforms
Frequently Asked Questions
What predictions are available for Liga 1?
For Liga 1, 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 Liga 1?
Accuracy for Liga 1 is tracked match by match and shown on this page. The model is calibrated specifically for Liga 1 using per-league historical data.
How are Liga 1 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.
Universitatea Cluj
Farul Constanta
Rapid
Petrolul Ploiesti
FCSB
Csikszereda
FC Voluntari
CFR 1907 Cluj
Oţelul
Sepsi OSK Sfantu Gheorghe
Corvinul Hunedoara
Uta Arad
FC Botosani
Dinamo Bucuresti
Arges Pitesti