52.90%
1X2 accuracy · 34 predictions (3 months)
Matchday 26 of 32
81%
League Table
End of season projections
Monte Carlo simulation · 10,000 simulated seasons · updated 28 Sep 2026
Champion
| Team | Zone probability | Projected Pts | Schedule | Trend |
|---|---|---|---|---|
|
68 (56–74)
pos. ~1.2°
|
C4 · T3
ELO 1487
|
▼0% | ||
|
62 (50–69)
pos. ~2.3°
|
C4 · T3
ELO 1484
|
▲0% | ||
|
59 (49–66)
pos. ~3.0°
|
C3 · T3
ELO 1482
|
· | ||
|
56 (46–64)
pos. ~4.0°
|
C3 · T3
ELO 1484
|
· | ||
|
53 (44–62)
pos. ~5.0°
|
C0 · T6
ELO 1505
|
· | ||
|
49 (41–59)
pos. ~6.1°
|
C3 · T3
ELO 1475
|
· | ||
|
46 (35–56)
pos. ~7.6°
|
C6 · T1
ELO 1493
|
· | ||
|
43 (34–55)
pos. ~8.4°
|
C3 · T4
ELO 1503
|
· | ||
|
42 (34–55)
pos. ~9.0°
|
C3 · T4
ELO 1520
|
· | ||
|
41 (31–52)
pos. ~10.0°
|
C4 · T3
ELO 1499
|
· | ||
|
35 (29–47)
pos. ~12.4°
|
C3 · T3
ELO 1512
|
· | ||
|
39 (29–50)
pos. ~10.8°
|
C4 · T3
ELO 1489
|
· | ||
|
37 (27–48)
pos. ~11.8°
|
C3 · T4
ELO 1497
|
· | ||
|
31 (23–41)
pos. ~14.1°
|
C4 · T2
ELO 1476
|
· | ||
|
26 (22–40)
pos. ~15.6°
|
C0 · T6
ELO 1507
|
· | ||
|
29 (21–42)
pos. ~14.8°
|
C5 · T2
ELO 1511
|
· | ||
|
18 (13–30)
pos. ~17.0°
|
C4 · T3
ELO 1510
|
· |
% = 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%% | 20 | 55.00% | 55.0% | +0.00% |
| 60–70%% | 17 | 65.00% | 58.8% | -6.20% |
| 70–100%% | 4 | 85.00% | 50.0% | -35.00% |
Based on 41 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for K League 2?
For K League 2, 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 K League 2?
Accuracy for K League 2 is tracked match by match and shown on this page. The model is calibrated specifically for K League 2 using per-league historical data.
How are K League 2 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.