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Superettan

Superettan

Svezia  · Season 2026
58.30%
1X2 accuracy · 12 predictions (3 months)
Matchday 16 of 30 53%

League Table

16 Teams
# Team P W D L GF–GA GD Pts Form
1 IFK Norrkoping — Champion 16 10 2 4 27–10 +17 32
V V S V V
2 Falkenbergs FF — Promotion 16 9 4 3 32–24 +8 31
V S V V P
3 Varbergs BoIS FC — Promotion Playoff 16 9 3 4 32–22 +10 30
S V V S S
4 Ostersunds FK 16 7 5 4 26–21 +5 26
P V V S P
5 United Nordic 16 7 5 4 26–23 +3 26
P V P P S
6 Osters IF 16 8 2 6 27–25 +2 26
V V S S V
7 Landskrona BoIS 16 7 4 5 22–17 +5 25
S S V V V
8 Helsingborg 16 7 3 6 30–32 -2 24
P V S V V
9 Ljungskile SK 16 6 4 6 23–21 +2 22
V V V P P
10 Oddevold 16 5 6 5 28–26 +2 21
P S P P V
11 Sandviken 16 5 4 7 25–25 +0 19
S S V P V
12 Norrby IF 16 3 9 4 21–23 -2 18
P V V P S
13 IK brage — Relegation Playoff 16 4 5 7 28–29 -1 17
P S S V S
14 Orebro SK — Relegation Playoff 16 3 6 7 13–22 -9 15
P S S P P
15 IFK Varnamo — Relegation 16 3 2 11 17–34 -17 11
P S S S S
16 GIF Sundsvall — Relegation 16 3 0 13 13–36 -23 9
S S S S S
1 Osters IF — Champion 9 6 1 2 15–10 +5 19
V V S V V
2 United Nordic — Promotion 8 5 2 1 17–12 +5 17
S V P P V
3 Varbergs BoIS FC — Promotion Playoff 8 5 1 2 15–9 +6 16
V V V S V
4 Sandviken 8 4 2 2 16–12 +4 14
V S V V V
5 Ostersunds FK 7 4 2 1 13–10 +3 14
P V V S V
6 Helsingborg 9 4 2 3 17–15 +2 14
S S S V P
7 Falkenbergs FF 8 4 2 2 11–10 +1 14
S V V P S
8 IFK Norrkoping 7 4 1 2 15–5 +10 13
P V V S V
9 Ljungskile SK 8 4 1 3 12–11 +1 13
V S P V V
10 Landskrona BoIS 8 3 3 2 10–8 +2 12
P P V V S
11 Norrby IF 8 2 4 2 12–12 +0 10
V S P V P
12 Oddevold 8 2 3 3 12–12 +0 9
V V S P S
13 Orebro SK — Relegation Playoff 8 2 3 3 6–9 -3 9
S S S P P
14 IFK Varnamo — Relegation Playoff 8 2 2 4 10–10 +0 8
P S S S P
15 IK brage — Relegation 7 1 3 3 16–17 -1 6
S P P V S
16 GIF Sundsvall — Relegation 9 2 0 7 9–22 -13 6
V S S S S
1 IFK Norrkoping — Champion 9 6 1 2 12–5 +7 19
P V V V V
2 Falkenbergs FF — Promotion 8 5 2 1 21–14 +7 17
V S V V V
3 Varbergs BoIS FC — Promotion Playoff 8 4 2 2 17–13 +4 14
V V S V S
4 Landskrona BoIS 8 4 1 3 12–9 +3 13
S V V V S
5 Oddevold 8 3 3 2 16–14 +2 12
P S V P P
6 Ostersunds FK 9 3 3 3 13–11 +2 12
S P P V P
7 IK brage 9 3 2 4 12–12 +0 11
S P S S P
8 Helsingborg 7 3 1 3 13–17 -4 10
P V V S V
9 Ljungskile SK 8 2 3 3 11–10 +1 9
V S P P V
10 United Nordic 8 2 3 3 9–11 -2 9
P V S P P
11 Norrby IF 8 1 5 2 9–11 -2 8
P P S S V
12 Osters IF 7 2 1 4 12–15 -3 7
P S S V S
13 Orebro SK — Relegation Playoff 8 1 3 4 7–13 -6 6
S S P S S
14 Sandviken — Relegation Playoff 8 1 2 5 9–13 -4 5
S V P S S
15 GIF Sundsvall — Relegation 7 1 0 6 4–14 -10 3
S S V S S
16 IFK Varnamo — Relegation 8 1 0 7 7–24 -17 3
S S S S S
Champion Promotion Promotion Playoff Relegation Relegation Playoff

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 29 Jul 2026
Champion Promotion Promotion Playoff Relegation Playoff Relegation
# Team Zone probability Projected Pts Schedule Trend
1 IFK Norrkoping
62 (44–74)
pos. ~1.4°
C8 · T6
ELO 1484
▲16%
2 Falkenbergs FF
55 (36–71)
pos. ~3.2°
C7 · T7
ELO 1494
▼7%
3 Varbergs BoIS FC
54 (35–70)
pos. ~3.4°
C7 · T7
ELO 1487
▼5%
4 Ostersunds FK
48 (31–66)
pos. ~5.7°
C8 · T6
ELO 1488
▲0%
5 United Nordic
48 (31–65)
pos. ~6.0°
C7 · T7
ELO 1488
▲1%
6 Osters IF
48 (31–64)
pos. ~5.9°
C6 · T8
ELO 1487
▲0%
7 Landskrona BoIS
49 (31–67)
pos. ~5.4°
C7 · T7
ELO 1484
▼8%
8 Helsingborg
43 (28–63)
pos. ~8.7°
C6 · T8
ELO 1488
·
9 Ljungskile SK
42 (25–61)
pos. ~8.8°
C7 · T7
ELO 1489
·
10 Oddevold
40 (24–58)
pos. ~9.7°
C7 · T7
ELO 1492
·
11 Sandviken
40 (22–58)
pos. ~10.0°
C7 · T7
ELO 1489
·
12 Norrby IF
36 (21–54)
pos. ~11.4°
C7 · T7
ELO 1488
▲1%
13 IK brage
35 (18–54)
pos. ~11.9°
C8 · T6
ELO 1501
▲1%
14 Orebro SK
29 (15–50)
pos. ~13.6°
C7 · T7
ELO 1492
▼1%
15 IFK Varnamo
19 (11–36)
pos. ~15.3°
C7 · T7
ELO 1501
▼0%
16 GIF Sundsvall
17 (9–32)
pos. ~15.7°
C6 · T8
ELO 1494
·
% = 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.

Player statistics

⚽ Top scorers
1 R. Nelson
R. Nelson
IFK Norrkoping
3
2 T. Prica
T. Prica
IFK Norrkoping
3
3 C. Nyman
C. Nyman
IFK Norrkoping
3
4 S. Nioule
S. Nioule
Varbergs BoIS FC
3
5 A. Björnström
A. Björnström
IFK Varnamo
2
6 Christian Wagner
Christian Wagner
Sandviken
2
7 O. Kjellman Olblad
O. Kjellman Olblad
Oddevold
2
8 L. Farah Shahin
L. Farah Shahin
Oddevold
2
9 F. Hörberg
F. Hörberg
IK brage
2
10 H. Aviander
H. Aviander
GIF Sundsvall
2
👟 Assists
1 N. Sernelius
N. Sernelius
IFK Norrkoping
5
2 L. Tagesson
L. Tagesson
Sandviken
2
3 E. Jemal
E. Jemal
IFK Norrkoping
2
4 L. Lindholm Corner
L. Lindholm Corner
Ljungskile SK
2
5 C. Capotondi
C. Capotondi
Landskrona BoIS
2
6 M. Nilsson
M. Nilsson
Falkenbergs FF
2
7 R. Nelson
R. Nelson
IFK Norrkoping
1
8 H. Aviander
H. Aviander
GIF Sundsvall
1
9 K. Holmberg
K. Holmberg
Orebro SK
1
10 W. Ärlig
W. Ärlig
Varbergs BoIS FC
1
🟨 Yellow cards
1 A. Pérez
A. Pérez
Landskrona BoIS
6
2 A. Lundin
A. Lundin
IK brage
5
3 D. Amadou
D. Amadou
Helsingborg
5
4 Marc Manchón
Marc Manchón
GIF Sundsvall
5
5 I. Maric
I. Maric
Ljungskile SK
5
6 J. Rapp
J. Rapp
IFK Varnamo
5
7 G. Sandberg
G. Sandberg
Oddevold
4
8 L. Róbertsson
L. Róbertsson
IFK Varnamo
4
9 A. Kiani
A. Kiani
Sandviken
4
10 A. Yakoub
A. Yakoub
Orebro SK
4
🟥 Red cards
1 A. Lundin
A. Lundin
IK brage
1
2 D. Amadou
D. Amadou
Helsingborg
1
3 G. Sandberg
G. Sandberg
Oddevold
1
4 J. Stenberg
J. Stenberg
Orebro SK
1
5 A. Salo
A. Salo
Falkenbergs FF
1
6 I. Lindholm
I. Lindholm
Sandviken
1
7 A. Suljić
A. Suljić
Ostersunds FK
1

Model & advanced data

Model calibration for this league
Probability band Sample Expected (mid) Actual Δ
50–60%% 5 55.00% 80.0% +25.00%
60–70%% 5 65.00% 20.0% -45.00%
70–100%% 3 85.00% 66.7% -18.30%
Based on 13 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for Superettan?
For Superettan, 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 Superettan?
Accuracy for Superettan is tracked match by match and shown on this page. The model is calibrated specifically for Superettan using per-league historical data.
How are Superettan 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.