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Eliteserien

Norvegia · Season 2026

2026 2025 2024

75.00%

1X2 accuracy · 16 predictions (3 months)

Matchday 15 of 30 50%

League Table

16 Teams

#	Team	P	W	D	L	GF–GA	GD	Pts	Form
1	Bodo/Glimt — Champion	15	11	2	2	37–11	+26	35	V V V V P
2	Viking — Champions League	14	11	1	2	34–14	+20	34	P V V S V
3	Tromso — Conference League	15	9	4	2	26–15	+11	31	V V P P S
4	Lillestrom — Conference League	14	8	1	5	22–14	+8	25	S V V S S
5	Molde	14	7	2	5	25–19	+6	23	V S P V S
6	Sarpsborg 08 FF	14	6	3	5	15–16	-1	21	V P V V V
7	Valerenga	14	6	2	6	22–24	-2	20	V V S V S
8	Brann	15	6	1	8	30–25	+5	19	S V V S S
9	Rosenborg	14	5	3	6	19–18	+1	18	V V V P S
10	Ham-Kam	14	5	3	6	20–26	-6	18	S S S P P
11	Sandefjord	14	4	3	7	13–20	-7	15	S S P S P
12	Fredrikstad	14	4	2	8	15–27	-12	14	S S S V P
13	Aalesund	14	2	7	5	19–29	-10	13	P S P P P
14	KFUM Oslo — Relegation Playoff	14	3	3	8	15–25	-10	12	S S S P V
15	Kristiansund BK — Relegation	14	3	3	8	12–23	-11	12	S P S S S
16	Start — Relegation	15	2	4	9	16–34	-18	10	V S S S V
1	Tromso — Champion	9	6	2	1	18–7	+11	20	V S V P V
2	Bodo/Glimt — Champions League	7	6	0	1	20–2	+18	18	S V V V V
3	Viking — Conference League	6	6	0	0	23–7	+16	18	V V V V V
4	Molde — Conference League	7	5	0	2	15–6	+9	15	V V V V S
5	Ham-Kam	7	5	0	2	13–11	+2	15	V V V V S
6	Rosenborg	8	4	2	2	16–9	+7	14	V S P V V
7	Sarpsborg 08 FF	7	4	2	1	8–5	+3	14	S V V V V
8	Valerenga	7	4	1	2	15–9	+6	13	S P V V V
9	Lillestrom	7	4	0	3	14–9	+5	12	V V S V S
10	Fredrikstad	6	3	1	2	9–8	+1	10	P S V V S
11	KFUM Oslo	8	3	1	4	8–10	-2	10	S V P S S
12	Brann	7	3	0	4	11–11	+0	9	V V S V S
13	Sandefjord	7	2	3	2	6–8	-2	9	V V P P S
14	Aalesund — Relegation Playoff	8	1	5	2	13–15	-2	8	P V P P P
15	Kristiansund BK — Relegation	7	2	2	3	8–10	-2	8	V P S P S
16	Start — Relegation	6	1	3	2	6–10	-4	6	P P S V S
1	Bodo/Glimt — Champion	8	5	2	1	17–9	+8	17	V V P V V
2	Viking — Champions League	8	5	1	2	11–7	+4	16	V V S V P
3	Lillestrom — Conference League	7	4	1	2	8–5	+3	13	P V S S V
4	Tromso — Conference League	6	3	2	1	8–8	+0	11	V P S P V
5	Brann	8	3	1	4	19–14	+5	10	P V S S V
6	Molde	7	2	2	3	10–13	-3	8	V S S P V
7	Sarpsborg 08 FF	7	2	1	4	7–11	-4	7	S S S V P
8	Valerenga	7	2	1	4	7–15	-8	7	S S S S V
9	Sandefjord	7	2	0	5	7–12	-5	6	V S S S S
10	Aalesund	6	1	2	3	6–14	-8	5	S S V P S
11	Rosenborg	6	1	1	4	3–9	-6	4	S P S S V
12	Kristiansund BK	7	1	1	5	4–13	-9	4	S S V S S
13	Fredrikstad	8	1	1	6	6–19	-13	4	S S P S S
14	Start — Relegation Playoff	9	1	1	7	10–24	-14	4	S S S S V
15	Ham-Kam — Relegation	7	0	3	4	7–15	-8	3	S P P S S
16	KFUM Oslo — Relegation	6	0	2	4	7–15	-8	2	P S P S S

Champion Champions League Conference League Relegation Relegation Playoff

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 31 Jul 2026

Champion Champions League Conference League Relegation Playoff Relegation

#	Team	Projected Pts	Schedule	Trend
1	Bodo/Glimt	72 (55–80) pos. ~1.3°	C8 · T7 ELO 1507	▲1%
2	Viking	68 (48–82) pos. ~1.8°	C9 · T7 ELO 1510	▼1%
3	Tromso	53 (34–71) pos. ~3.9°	C6 · T9 ELO 1520	·
4	Lillestrom	51 (33–68) pos. ~4.4°	C8 · T8 ELO 1514	·
5	Molde	48 (29–66) pos. ~5.6°	C8 · T8 ELO 1511	·
6	Sarpsborg 08 FF	44 (27–63) pos. ~7.1°	C8 · T8 ELO 1513	·
7	Valerenga	43 (25–61) pos. ~7.4°	C8 · T8 ELO 1527	·
8	Brann	42 (21–59) pos. ~8.0°	C8 · T7 ELO 1514	▼0%
9	Rosenborg	44 (23–64) pos. ~7.2°	C7 · T9 ELO 1513	▼0%
10	Ham-Kam	36 (20–55) pos. ~10.5°	C8 · T8 ELO 1518	▲1%
11	Sandefjord	34 (18–53) pos. ~11.2°	C8 · T8 ELO 1514	▼0%
12	Fredrikstad	29 (15–50) pos. ~13.1°	C9 · T7 ELO 1520	▼1%
13	Aalesund	31 (15–53) pos. ~12.4°	C7 · T9 ELO 1517	▼1%
14	KFUM Oslo	28 (14–46) pos. ~13.5°	C7 · T9 ELO 1515	▲0%
15	Kristiansund BK	27 (12–45) pos. ~14.1°	C8 · T8 ELO 1516	▲1%
16	Start	25 (11–44) pos. ~14.6°	C9 · T6 ELO 1505	▲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

⚽ Top scorers

J. Hjertø-Dahl

Tromso

K. Høgh

Bodo/Glimt

P. Christiansen

Viking

H. Larsen

Tromso

E. Breivik

Molde

M. Niang

Ham-Kam

N. Holm

Brann

S. Kvia-Egeskog

Viking

E. Hestad

Molde

L. Haren

Valerenga

👟 Assists

Z. Tripić

Viking

R. Jenssen

Tromso

Vá

Lillestrom

U. Mathisen

Brann

H. Bjørdal

Valerenga

K. Høgh

Bodo/Glimt

P. Christiansen

Viking

O. Didrik Blomberg

Bodo/Glimt

M. Grundetjern

Valerenga

T. Strannegård

Start

🟨 Yellow cards

E. Reitan

Start

E. Hestad

Molde

K. Askildsen

Viking

Mamour Ndiaye

Sarpsborg 08 FF

M. Vinjor

KFUM Oslo

A. Olsen

Valerenga

Y. Ibrahimaj

Lillestrom

A. Witry

Rosenborg

S. Kabini

Molde

O. Toure

Start

🟥 Red cards

S. Kabini

Molde

O. Toure

Start

J. Vester

Sandefjord

S. Sjøkvist

KFUM Oslo

A. Warneryd

Tromso

F. Berglie

KFUM Oslo

S. Jarl

Valerenga

E. Garnås

Lillestrom

Model & advanced data

Model calibration for this league▾

Probability band	Sample	Expected (mid)	Actual	Δ
50–60%%	7	55.00%	42.9%	-12.10%
60–70%%	7	65.00%	100.0%	+35.00%

Based on 16 verified predictions · Δ ≤ 5% = excellent calibration

xG: who scores more (or less) than they deserve▾

#	Team	Goals	xG	Δ
1	Viking	34	24.31	+9.69
2	Brann	30	23.99	+6.01
3	Ham-Kam	20	14.79	+5.21
4	Bodo/Glimt	37	32.29	+4.71
5	Lillestrom	22	17.52	+4.48
6	Molde	25	21.26	+3.74
7	Tromso	26	22.65	+3.35
8	Valerenga	22	19.50	+2.50
9	KFUM Oslo	15	12.78	+2.22
10	Rosenborg	19	16.79	+2.21
11	Aalesund	19	17.26	+1.74
12	Fredrikstad	15	14.92	+0.08
13	Start	14	14.90	-0.90
14	Sandefjord	13	15.06	-2.06
15	Kristiansund BK	11	13.44	-2.44
16	Sarpsborg 08 FF	15	18.15	-3.15

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.