Superliga xG Table 2025/26

#	Team	P	G	xG	/90	+/-
1	AGF	22	46	44.18	2.01	+1.8
2	FC København	22	35	40.86	1.86	-5.9
3	FC Midtjylland	22	58	40.03	1.82	+18
4	Nordsjælland	22	37	34.11	1.55	+2.9
5	Sønderjyske Fodbold	22	34	33.69	1.53	+0.3
6	Brøndby IF	22	31	33.65	1.53	-2.7
7	Odense BK	22	36	33.47	1.52	+2.5
8	Viborg FF	22	37	32.88	1.49	+4.1
9	Randers FC	22	22	32.57	1.48	-10.6
10	Fredericia	22	30	26.92	1.22	+3.1
11	Silkeborg IF	22	24	25.08	1.14	-1.1
12	Vejle Boldklub	22	26	25.02	1.14	+1

#	Team	P	GA	xGA	/90	+/-
1	AGF	22	23	25.47	1.16	-2.5
2	Brøndby IF	22	22	28.37	1.29	-6.4
3	FC Midtjylland	22	23	30.35	1.38	-7.4
4	FC København	22	34	30.74	1.4	+3.3
5	Nordsjælland	22	39	31.47	1.43	+7.5
6	Odense BK	22	46	32.04	1.46	+14
7	Randers FC	22	27	32.18	1.46	-5.2
8	Sønderjyske Fodbold	22	28	33.07	1.5	-5.1
9	Viborg FF	22	35	33.99	1.55	+1
10	Vejle Boldklub	22	45	35.11	1.6	+9.9
11	Silkeborg IF	22	45	41.8	1.9	+3.2
12	Fredericia	22	49	47.87	2.18	+1.1

#	Team	P	PTS	xPTS	/90	+/-
1	AGF	22	50	41.48	1.89	+8.5
2	FC København	22	29	36.25	1.65	-7.3
3	FC Midtjylland	22	46	36.18	1.64	+9.8
4	Brøndby IF	22	34	33.41	1.52	+0.6
5	Nordsjælland	22	31	32.14	1.46	-1.1
6	Sønderjyske Fodbold	22	36	31.63	1.44	+4.4
7	Odense BK	22	27	31.5	1.43	-4.5
8	Viborg FF	22	33	30.26	1.38	+2.7
9	Randers FC	22	26	30.2	1.37	-4.2
10	Vejle Boldklub	22	14	24.1	1.1	-10.1
11	Silkeborg IF	22	19	20.76	0.94	-1.8
12	Fredericia	22	24	19.33	0.88	+4.7

#	Team	P	xG	xGA	xGD	/90
1	AGF	22	44.18	25.47	18.71	0.85
2	FC København	22	40.86	30.74	10.12	0.46
3	FC Midtjylland	22	40.03	30.35	9.68	0.44
4	Brøndby IF	22	33.65	28.37	5.28	0.24
5	Nordsjælland	22	34.11	31.47	2.64	0.12
6	Odense BK	22	33.47	32.04	1.43	0.07
7	Sønderjyske Fodbold	22	33.69	33.07	0.62	0.03
8	Randers FC	22	32.57	32.18	0.39	0.02
9	Viborg FF	22	32.88	33.99	-1.11	-0.05
10	Vejle Boldklub	22	25.02	35.11	-10.09	-0.46
11	Silkeborg IF	22	25.08	41.8	-16.72	-0.76
12	Fredericia	22	26.92	47.87	-20.95	-0.95

#	Team	P	G	npxG	xG	/90
1	FC Midtjylland	22	58	38.45	40.03	1.82
2	AGF	22	46	37.86	44.18	2.01
3	FC København	22	35	36.91	40.86	1.86
4	Nordsjælland	22	37	32.53	34.11	1.55
5	Brøndby IF	22	31	32.07	33.65	1.53
6	Viborg FF	22	37	31.3	32.88	1.49
7	Sønderjyske Fodbold	22	34	30.53	33.69	1.53
8	Randers FC	22	22	30.2	32.57	1.48
9	Odense BK	22	36	29.52	33.47	1.52
10	Fredericia	22	30	26.13	26.92	1.22
11	Vejle Boldklub	22	26	23.44	25.02	1.14
12	Silkeborg IF	22	24	22.71	25.08	1.14

#	Team	P	G	xGoT	xG	/90
1	AGF	22	46	49.29	44.18	2.01
2	FC Midtjylland	22	58	47.57	40.03	1.82
3	Nordsjælland	22	37	42.08	34.11	1.55
4	FC København	22	35	39.1	40.86	1.86
5	Odense BK	22	36	37.38	33.47	1.52
6	Viborg FF	22	37	36.41	32.88	1.49
7	Brøndby IF	22	31	35.98	33.65	1.53
8	Sønderjyske Fodbold	22	34	34.36	33.69	1.53
9	Vejle Boldklub	22	26	31.4	25.02	1.14
10	Fredericia	22	30	29.66	26.92	1.22
11	Randers FC	22	22	27.05	32.57	1.48
12	Silkeborg IF	22	24	27	25.08	1.14

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?

AGF top the xG charts with 44.18 expected goals from 22 games (2.01/90). They have scored 46 actual goals, outperforming their xG by +1.8.

Who has the best defence?

AGF have the tightest defence by xGA, conceding just 25.47 expected goals (1.16/90). Their actual goals conceded stands at 23.

Biggest overperformer

FC Midtjylland are the biggest overperformers in Superliga, scoring 58 goals from an xG of just 40.03 — a difference of +18. 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 22 from an xG of 32.57 (diff: -10.6). 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: 2026-03-03 17:36:42

What Superliga team has the best xG?

AGF leads for xG with 44.18 total (2.01/90) across 22 games. They have scored 46 goals, overperforming their xG by 1.8.

What Superliga team has the best xGA?

AGF has the best defence by xGA with just 25.47 expected goals against (1.16/90). They have conceded 23 goals in 22 games.

What Superliga team has the most xPTS?

AGF tops xPTS with 41.48 (1.89/90). With 50 actual points, they are overperforming by 8.5 points.

Which Superliga team is overperforming their xG the most?

FC Midtjylland has scored 58 goals from an xG of 40.03, overperforming by +18 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 22 goals from an xG of 32.57, underperforming by -10.6 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

Find Fixtures

Stats

You

Tools

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