Superliga xG Table 2025/26

#	Team	P	G	xG	/90	+/-
1	FC København	33	70	69.53	2.11	+0.5
2	AGF	32	62	61.26	1.91	+0.7
3	FC Midtjylland	32	72	53.88	1.68	+18.1
4	Brøndby IF	33	45	52.12	1.58	-7.1
5	Viborg FF	32	49	50.36	1.57	-1.4
6	Nordsjælland	32	51	49.32	1.54	+1.7
7	Odense BK	32	51	49.32	1.54	+1.7
8	Randers FC	32	33	47.87	1.5	-14.9
9	Sønderjyske Fodbold	32	44	47.08	1.47	-3.1
10	Fredericia	32	45	42.84	1.34	+2.2
11	Silkeborg IF	32	41	39.15	1.22	+1.9
12	Vejle Boldklub	32	36	36.35	1.14	-0.4

#	Team	P	GA	xGA	/90	+/-
1	AGF	32	32	37.74	1.18	-5.7
2	FC København	33	45	41.94	1.27	+3.1
3	Randers FC	32	47	42.83	1.34	+4.2
4	Brøndby IF	33	38	45.95	1.39	-8
5	FC Midtjylland	32	36	46.74	1.46	-10.7
6	Odense BK	32	60	47.33	1.48	+12.7
7	Nordsjælland	32	46	47.37	1.48	-1.4
8	Sønderjyske Fodbold	32	49	50.47	1.58	-1.5
9	Viborg FF	32	51	50.89	1.59	+0.1
10	Vejle Boldklub	32	60	53.81	1.68	+6.2
11	Silkeborg IF	32	67	63.79	1.99	+3.2
12	Fredericia	32	68	70.22	2.19	-2.2

#	Team	P	PTS	xPTS	/90	+/-
1	FC København	33	54	59.82	1.81	-5.8
2	AGF	32	67	57.94	1.81	+9.1
3	FC Midtjylland	32	60	49.03	1.53	+11
4	Brøndby IF	33	45	48.89	1.48	-3.9
5	Randers FC	32	35	47.22	1.48	-12.2
6	Odense BK	32	41	45.74	1.43	-4.7
7	Nordsjælland	32	50	45.69	1.43	+4.3
8	Viborg FF	32	44	44.3	1.38	-0.3
9	Sønderjyske Fodbold	32	44	43.32	1.35	+0.7
10	Vejle Boldklub	32	24	33.95	1.06	-10
11	Fredericia	32	34	30.77	0.96	+3.2
12	Silkeborg IF	32	36	30.76	0.96	+5.2

#	Team	P	xG	xGA	xGD	/90
1	FC København	33	69.53	41.94	27.59	0.84
2	AGF	32	61.26	37.74	23.52	0.74
3	FC Midtjylland	32	53.88	46.74	7.14	0.22
4	Brøndby IF	33	52.12	45.95	6.17	0.19
5	Randers FC	32	47.87	42.83	5.04	0.16
6	Odense BK	32	49.32	47.33	1.99	0.06
7	Nordsjælland	32	49.32	47.37	1.95	0.06
8	Viborg FF	32	50.36	50.89	-0.53	-0.02
9	Sønderjyske Fodbold	32	47.08	50.47	-3.39	-0.11
10	Vejle Boldklub	32	36.35	53.81	-17.46	-0.55
11	Silkeborg IF	32	39.15	63.79	-24.64	-0.77
12	Fredericia	32	42.84	70.22	-27.38	-0.86

#	Team	P	G	npxG	xG	/90
1	FC København	33	70	62.42	69.53	2.11
2	AGF	32	62	54.94	61.26	1.91
3	FC Midtjylland	32	72	51.51	53.88	1.68
4	Brøndby IF	33	45	49.75	52.12	1.58
5	Nordsjælland	32	51	47.74	49.32	1.54
6	Viborg FF	32	49	47.2	50.36	1.57
7	Odense BK	32	51	45.37	49.32	1.54
8	Randers FC	32	33	44.71	47.87	1.5
9	Sønderjyske Fodbold	32	44	42.34	47.08	1.47
10	Fredericia	32	45	42.05	42.84	1.34
11	Silkeborg IF	32	41	34.41	39.15	1.22
12	Vejle Boldklub	32	36	33.19	36.35	1.14

#	Team	P	G	xGoT	xG	/90
1	FC København	33	70	71.31	69.53	2.11
2	AGF	32	62	66.47	61.26	1.91
3	FC Midtjylland	32	72	60.65	53.88	1.68
4	Nordsjælland	32	51	58.52	49.32	1.54
5	Viborg FF	32	49	53.81	50.36	1.57
6	Odense BK	32	51	52.23	49.32	1.54
7	Brøndby IF	33	45	50.04	52.12	1.58
8	Sønderjyske Fodbold	32	44	48.42	47.08	1.47
9	Silkeborg IF	32	41	43.5	39.15	1.22
10	Fredericia	32	45	43.28	42.84	1.34
11	Vejle Boldklub	32	36	41.95	36.35	1.14
12	Randers FC	32	33	39.95	47.87	1.5

Upcoming Fixtures (Next 14 Days)

Show xG:

Showing home xG for home teams, away xG for away teams Showing overall xG for all teams

No upcoming fixtures available.

Download This Data as CSV

Get full access to xG, xGA, xPTS, and 30+ metrics for every team. Export to CSV and power your own analysis.

Unlock CSV Downloads

50+ Leagues 30+ Metrics Updated Daily

The Superliga xG table for 2025/26 tracks expected goals data for all 12 teams. This includes xG (expected goals), xGA (expected goals against), xPTS (expected points), npxG (non-penalty xG), xGoT (expected goals on target), and the goals vs xG overperformance metric.

Who has the best attack?

FC København top the xG charts with 69.53 expected goals from 33 games (2.11/90). They have scored 70 actual goals, outperforming their xG by +0.5.

Who has the best defence?

AGF have the tightest defence by xGA, conceding just 37.74 expected goals (1.18/90). Their actual goals conceded stands at 32.

Biggest overperformer

FC Midtjylland are the biggest overperformers in Superliga, scoring 72 goals from an xG of just 53.88 — a difference of +18.1. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Randers FC are the most wasteful in front of goal, scoring 33 from an xG of 47.87 (diff: -14.9). Regression towards their xG would suggest improvement is likely.

Understanding the xG metrics

xG (Expected Goals): The total expected goals a team should have scored based on the quality of their chances.
xGA (Expected Goals Against): How many goals a team should have conceded — lower is better.
xPTS (Expected Points): How many league points a team deserves based on xG performance.
npxG (Non-Penalty xG): xG excluding penalties, giving a truer picture of open-play chance creation.
xGoT (xG on Target): Expected goals from shots that were on target only.
+/- (Overperformance): The difference between actual goals and xG. Positive = overperforming, negative = underperforming.

Data is updated daily, powered by advanced xG models covering 50+ competitions. Learn more about how xG works.

Data last updated: 2026-06-08 01:41:10

What Superliga team has the best xG?

FC København leads for xG with 69.53 total (2.11/90) across 33 games. They have scored 70 goals, overperforming their xG by 0.5.

What Superliga team has the best xGA?

AGF has the best defence by xGA with just 37.74 expected goals against (1.18/90). They have conceded 32 goals in 32 games.

What Superliga team has the most xPTS?

FC København tops xPTS with 59.82 (1.81/90). With 54 actual points, they are underperforming by 5.8 points.

Which Superliga team is overperforming their xG the most?

FC Midtjylland has scored 72 goals from an xG of 53.88, overperforming by +18.1 goals. This suggests they are finishing chances at an unsustainable rate, or have exceptional individual quality up front.

Which Superliga team is underperforming their xG the most?

Randers FC has scored 33 goals from an xG of 47.87, underperforming by -14.9 goals. This indicates poor finishing or bad luck — regression towards their xG is likely.

What is xG in football?

xG (Expected Goals) measures the quality of chances created. Each shot is assigned a probability of being scored based on factors like distance, angle, body part, and assist type. A team's total xG reflects how many goals they should have scored based on their chances. Read more about xG.

Filter for xG, Odds, Form, and More!

OddAlerts has one of the most powerful filtering tools, combining hundreds of data points including xG to find high-value games.

Join Pro

Probability & Predictions

Fixtures & Stats

Tools & Alerts

Trends

Player Data

Stay Connected

Superliga xG Table 2025/26 - Expected Goals Stats

xG, xGA, xPTS, npxG & xGoT for all 12 Superliga teams

Download This Data as CSV