72.70%
1X2 accuracy · 33 predictions (3 months)
Matchday 20 of 30
67%
League Table
End of season projections
Monte Carlo simulation · 10,000 simulated seasons · updated 15 Sep 2026
Champion
Champions League
Conference League
Relegation Playoff
Relegation
| Team | Zone probability | Projected Pts | Schedule | Trend |
|---|---|---|---|---|
|
73 (58–80)
pos. ~1.2°
|
C5 · T5
ELO 1500
|
▼1% | ||
|
67 (54–77)
pos. ~1.8°
|
C6 · T4
ELO 1503
|
▲1% | ||
|
53 (39–66)
pos. ~3.8°
|
C5 · T5
ELO 1514
|
· | ||
|
51 (37–63)
pos. ~4.4°
|
C5 · T5
ELO 1507
|
· | ||
|
45 (32–62)
pos. ~6.2°
|
C5 · T5
ELO 1502
|
· | ||
|
51 (35–60)
pos. ~4.5°
|
C4 · T6
ELO 1500
|
· | ||
|
40 (27–55)
pos. ~8.4°
|
C5 · T5
ELO 1506
|
· | ||
|
41 (26–56)
pos. ~8.0°
|
C5 · T5
ELO 1514
|
▲0% | ||
|
40 (25–55)
pos. ~8.2°
|
C6 · T4
ELO 1505
|
▲0% | ||
|
31 (23–47)
pos. ~12.6°
|
C5 · T5
ELO 1510
|
▼1% | ||
|
34 (22–47)
pos. ~10.9°
|
C5 · T5
ELO 1506
|
▲0% | ||
|
32 (22–47)
pos. ~12.1°
|
C4 · T6
ELO 1504
|
▲0% | ||
|
32 (20–47)
pos. ~12.3°
|
C5 · T5
ELO 1504
|
▲3% | ||
|
30 (19–46)
pos. ~13.2°
|
C6 · T4
ELO 1506
|
▼1% | ||
|
27 (18–43)
pos. ~14.4°
|
C4 · T6
ELO 1516
|
▼1% | ||
|
28 (17–43)
pos. ~14.2°
|
C5 · T5
ELO 1502
|
▼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%% | 13 | 55.00% | 46.2% | -8.80% |
| 60–70%% | 16 | 65.00% | 75.0% | +10.00% |
| 70–100%% | 10 | 85.00% | 90.0% | +5.00% |
Based on 39 verified predictions · Δ ≤ 5% = excellent calibration
xG: who scores more (or less) than they deserve▾
| # | Team | Goals | xG | Δ | |
|---|---|---|---|---|---|
| 1 |
Viking
|
42 | 32.71 | +9.29 | |
| 2 |
Brann
|
36 | 27.19 | +8.81 | |
| 3 |
Tromso
|
34 | 26.15 | +7.85 | |
| 4 |
Bodo/Glimt
|
47 | 39.23 | +7.77 | |
| 5 |
Ham-Kam
|
26 | 18.68 | +7.32 | |
| 6 |
Molde
|
36 | 30.23 | +5.77 | |
| 7 |
Aalesund
|
28 | 23.21 | +4.79 | |
| 8 |
Valerenga
|
31 | 26.25 | +4.75 | |
| 9 |
Rosenborg
|
27 | 23.21 | +3.79 | |
| 10 |
KFUM Oslo
|
20 | 18.20 | +1.80 | |
| 11 |
Fredrikstad
|
22 | 21.88 | +0.12 | |
| 12 |
Lillestrom
|
24 | 24.49 | -0.49 | |
| 13 |
Kristiansund BK
|
16 | 17.54 | -1.54 | |
| 14 |
Start
|
18 | 20.79 | -2.79 | |
| 15 |
Sarpsborg 08 FF
|
20 | 23.75 | -3.75 | |
| 16 |
Sandefjord
|
15 | 19.35 | -4.35 |
Δ = Goals scored − accumulated xG · green = overperforms, red = underperforms
Frequently Asked Questions
What predictions are available for Eliteserien?
For Eliteserien, 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 Eliteserien?
Accuracy for Eliteserien is tracked match by match and shown on this page. The model is calibrated specifically for Eliteserien using per-league historical data.
How are Eliteserien 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.
Viking
Brann
Tromso
Bodo/Glimt
Ham-Kam
Molde
Aalesund
Valerenga
Rosenborg
KFUM Oslo
Fredrikstad
Lillestrom
Kristiansund BK
Start
Sarpsborg 08 FF
Sandefjord