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Superettan

Superettan

Svezia  · Season 2026
50.00%
1X2 accuracy · 24 predictions (3 months)
Matchday 24 of 30 80%

League Table

16 Teams
# Team P W D L GF–GA GD Pts Form
1 IFK Norrkoping — Champion 24 16 4 4 45–15 +30 52
P V P V V
2 Falkenbergs FF — Promotion 24 13 5 6 46–33 +13 44
V V S V S
3 Ostersunds FK — Promotion Playoff 24 11 9 4 33–24 +9 42
V P V P P
4 Varbergs BoIS FC 24 12 5 7 41–31 +10 41
V S P V S
5 Oddevold 24 9 9 6 37–32 +5 36
P V V S V
6 United Nordic 24 9 9 6 37–36 +1 36
P S V S V
7 Landskrona BoIS 23 9 7 7 31–25 +6 34
S V P P P
8 Osters IF 23 10 3 10 34–34 +0 33
S S P V V
9 Sandviken 23 8 6 9 36–32 +4 30
S V P P S
10 Helsingborg 24 8 5 11 36–45 -9 29
S V S P S
11 Ljungskile SK 24 7 7 10 31–33 -2 28
S V P S P
12 IFK Varnamo 23 7 5 11 30–41 -11 26
V P V P P
13 Orebro SK — Relegation Playoff 24 5 9 10 25–35 -10 24
P V S P V
14 Norrby IF — Relegation Playoff 24 4 11 9 28–35 -7 23
S S S S P
15 IK brage — Relegation 23 5 7 11 36–44 -8 22
P S S S P
16 GIF Sundsvall — Relegation 23 5 1 17 16–47 -31 16
S V V S P
1 Ostersunds FK — Champion 12 7 4 1 17–11 +6 25
V V P P V
2 IFK Norrkoping — Promotion 12 7 3 2 24–8 +16 24
V V V P P
3 Falkenbergs FF — Promotion Playoff 12 7 3 2 20–13 +7 24
S P V V V
4 Varbergs BoIS FC 12 7 1 4 20–14 +6 22
V V S V S
5 Osters IF 12 7 1 4 17–13 +4 22
V V S V S
6 United Nordic 12 5 4 3 22–21 +1 19
V P P S S
7 Sandviken 12 5 3 4 23–18 +5 18
V V S P S
8 Oddevold 11 4 4 3 17–14 +3 16
P S P V V
9 Ljungskile SK 13 5 1 7 16–19 -3 16
S S S V S
10 Helsingborg 12 4 3 5 19–20 -1 15
V P S P S
11 Landskrona BoIS 11 3 5 3 13–12 +1 14
V S P P S
12 Norrby IF 12 3 5 4 18–19 -1 14
P V P S S
13 Orebro SK — Relegation Playoff 12 3 4 5 10–15 -5 13
P S V S P
14 IFK Varnamo — Relegation Playoff 11 2 5 4 13–13 +0 11
S P P P P
15 IK brage — Relegation 11 2 4 5 22–24 -2 10
S V P S S
16 GIF Sundsvall — Relegation 12 3 1 8 11–26 -15 10
S S P V S
1 IFK Norrkoping — Champion 12 9 1 2 21–7 +14 28
V V V V V
2 Falkenbergs FF — Promotion 12 6 2 4 26–20 +6 20
V S S S V
3 Landskrona BoIS — Promotion Playoff 12 6 2 4 18–13 +5 20
S S V P V
4 Oddevold 13 5 5 3 20–18 +2 20
V P S V P
5 Varbergs BoIS FC 12 5 4 3 21–17 +4 19
S P S P V
6 Ostersunds FK 12 4 5 3 16–13 +3 17
V P P P V
7 United Nordic 12 4 5 3 15–15 +0 17
P P V V P
8 IFK Varnamo 12 5 0 7 17–28 -11 15
S V V V V
9 Helsingborg 12 4 2 6 17–25 -8 14
S P S V S
10 Ljungskile SK 11 2 6 3 15–14 +1 12
P V P P P
11 Sandviken 11 3 3 5 13–14 -1 12
S S V P V
12 IK brage 12 3 3 6 14–20 -6 12
S P S S P
13 Osters IF — Relegation Playoff 11 3 2 6 17–21 -4 11
S S V P S
14 Orebro SK — Relegation Playoff 12 2 5 5 15–20 -5 11
S S P P V
15 Norrby IF — Relegation 12 1 6 5 10–16 -6 9
V P S S S
16 GIF Sundsvall — Relegation 11 2 0 9 5–21 -16 6
S S S S V
Champion Promotion Promotion Playoff Relegation Relegation Playoff

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 15 Sep 2026
Champion Promotion Promotion Playoff Relegation Playoff Relegation
Team Zone probability Projected Pts Schedule Trend
IFK Norrkoping
66 (55–70)
pos. ~1.0°
C3 · T3
ELO 1467
·
Falkenbergs FF
55 (44–62)
pos. ~2.6°
C3 · T3
ELO 1500
▼13%
Ostersunds FK
51 (42–60)
pos. ~3.8°
C3 · T3
ELO 1556
▲4%
Varbergs BoIS FC
52 (41–59)
pos. ~3.4°
C3 · T3
ELO 1474
▲12%
Oddevold
47 (37–54)
pos. ~5.6°
C4 · T2
ELO 1474
·
United Nordic
44 (36–54)
pos. ~6.6°
C3 · T3
ELO 1495
·
Landskrona BoIS
44 (34–55)
pos. ~6.6°
C4 · T3
ELO 1497
·
Osters IF
43 (33–54)
pos. ~7.6°
C3 · T4
ELO 1495
·
Sandviken
40 (30–51)
pos. ~8.9°
C3 · T4
ELO 1509
·
Helsingborg
35 (29–47)
pos. ~11.2°
C3 · T3
ELO 1500
▲0%
Ljungskile SK
36 (28–46)
pos. ~10.7°
C2 · T4
ELO 1471
▼1%
IFK Varnamo
36 (26–47)
pos. ~10.9°
C4 · T3
ELO 1510
▼1%
Orebro SK
30 (24–42)
pos. ~13.7°
C3 · T3
ELO 1537
▼5%
Norrby IF
29 (23–41)
pos. ~13.8°
C3 · T3
ELO 1502
▲13%
IK brage
30 (22–43)
pos. ~13.7°
C4 · T3
ELO 1501
▼7%
GIF Sundsvall
20 (16–32)
pos. ~16.0°
C3 · T4
ELO 1535
·
% = 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 O. Kjellman Olblad
O. Kjellman Olblad
Oddevold
2
6 L. Farah Shahin
L. Farah Shahin
Oddevold
2
7 Christian Wagner
Christian Wagner
Sandviken
2
8 A. Björnström
A. Björnström
IFK Varnamo
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 E. Jemal
E. Jemal
IFK Norrkoping
2
3 L. Tagesson
L. Tagesson
Sandviken
2
4 C. Capotondi
C. Capotondi
Landskrona BoIS
2
5 L. Lindholm Corner
L. Lindholm Corner
Ljungskile SK
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 W. Ärlig
W. Ärlig
Varbergs BoIS FC
1
10 Albin Andersson
Albin Andersson
Falkenbergs FF
1
🟨 Yellow cards
1 A. Pérez
A. Pérez
Landskrona BoIS
9
2 D. Amadou
D. Amadou
Helsingborg
8
3 I. Maric
I. Maric
Ljungskile SK
6
4 Marc Manchón
Marc Manchón
GIF Sundsvall
6
5 F. Ambrož
F. Ambrož
Ljungskile SK
6
6 A. Murbeck
A. Murbeck
Landskrona BoIS
6
7 H. Azzi
H. Azzi
Ostersunds FK
6
8 A. Yakoub
A. Yakoub
Orebro SK
6
9 G. Sandberg
G. Sandberg
Oddevold
5
10 A. Lundin
A. Lundin
IK brage
5
🟥 Red cards
1 D. Amadou
D. Amadou
Helsingborg
1
2 G. Sandberg
G. Sandberg
Oddevold
1
3 A. Lundin
A. Lundin
IK brage
1
4 J. Stenberg
J. Stenberg
Orebro SK
1
5 E. Hedenquist
E. Hedenquist
Oddevold
1
6 T. Sandberg
T. Sandberg
IFK Norrkoping
1
7 A. Salo
A. Salo
Falkenbergs FF
1
8 Y. Yaya
Y. Yaya
Sandviken
1
9 I. Lindholm
I. Lindholm
Sandviken
1
10 A. Suljić
A. Suljić
Ostersunds FK
1

Model & advanced data

Model calibration for this league
Probability band Sample Expected (mid) Actual Δ
50–60%% 9 55.00% 44.4% -10.60%
60–70%% 11 65.00% 27.3% -37.70%
70–100%% 8 85.00% 87.5% +2.50%
Based on 28 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.