#TeamPGxG/90+/-
1Bodø / Glimt112831.972.91-4
2Viking102924.392.44+4.6
3Tromsø131822.721.75-4.7
4Brann122422.341.86+1.7
5Lillestrøm111720.511.86-3.5
6Vålerenga111319.371.76-6.4
7Molde111818.751.7-0.8
8Sarpsborg 08111318.361.67-5.4
9Aalesund111516.271.48-1.3
10Sandefjord111016.021.46-6
11Rosenborg11915.731.43-6.7
12HamKam101715.671.57+1.3
13Start121314.731.23-1.7
14Kristiansund111114.631.33-3.6
15KFUM111214.331.3-2.3
16Fredrikstad111513.881.26+1.1
#TeamPGAxGA/90+/-
1Viking101011.911.19-1.9
2Bodø / Glimt111112.921.17-1.9
3Lillestrøm111115.281.39-4.3
4Sandefjord111316.931.54-3.9
5HamKam101617.21.72-1.2
6Sarpsborg 08111618.261.66-2.3
7Molde111318.281.66-5.3
8KFUM111718.381.67-1.4
9Rosenborg111818.591.69-0.6
10Tromsø131418.781.44-4.8
11Vålerenga111720.191.84-3.2
12Kristiansund111820.421.86-2.4
13Fredrikstad112021.481.95-1.5
14Brann122022.591.88-2.6
15Aalesund112023.782.16-3.8
16Start122824.682.06+3.3
#TeamPPTSxPTS/90+/-
1Bodø / Glimt1123242.18-1
2Tromsø132521.661.67+3.3
3Viking102721.042.1+6
4Lillestrøm111917.961.63+1
5Brann121316.731.39-3.7
6Sarpsborg 08111415.841.44-1.8
7Molde111915.621.42+3.4
8Vålerenga111414.981.36-1
9Sandefjord111414.581.33-0.6
10Rosenborg119141.27-5
11HamKam101712.931.29+4.1
12KFUM111212.911.17-0.9
13Kristiansund111112.311.12-1.3
14Aalesund111111.921.08-0.9
15Start12711.530.96-4.5
16Fredrikstad111411.341.03+2.7
#TeamPxGxGAxGD/90
1Bodø / Glimt1131.9712.9219.051.73
2Viking1024.3911.9112.481.25
3Lillestrøm1120.5115.285.230.48
4Tromsø1322.7218.783.940.3
5Molde1118.7518.280.470.04
6Sarpsborg 081118.3618.260.10.01
7Brann1222.3422.59-0.25-0.02
8Vålerenga1119.3720.19-0.82-0.07
9Sandefjord1116.0216.93-0.91-0.08
10HamKam1015.6717.2-1.53-0.15
11Rosenborg1115.7318.59-2.86-0.26
12KFUM1114.3318.38-4.05-0.37
13Kristiansund1114.6320.42-5.79-0.53
14Aalesund1116.2723.78-7.51-0.68
15Fredrikstad1113.8821.48-7.6-0.69
16Start1214.7324.68-9.95-0.83
#TeamPGnpxGxG/90
1Bodø / Glimt112828.8131.972.91
2Viking102924.3924.392.44
3Tromsø131822.7222.721.75
4Brann122419.9722.341.86
5Molde111818.7518.751.7
6Vålerenga111318.5819.371.76
7Lillestrøm111718.1420.511.86
8Aalesund111516.2716.271.48
9Sarpsborg 08111315.9918.361.67
10Rosenborg11914.9415.731.43
11Sandefjord111014.4416.021.46
12KFUM111214.3314.331.3
13HamKam101714.0915.671.57
14Fredrikstad111513.8813.881.26
15Kristiansund111113.8414.631.33
16Start121313.1514.731.23
#TeamPGxGoTxG/90
1Bodø / Glimt112825.5331.972.91
2Viking102923.9524.392.44
3Brann122422.5222.341.86
4Tromsø131819.7922.721.75
5Sarpsborg 08111317.0418.361.67
6Lillestrøm111716.3220.511.86
7Molde111815.6718.751.7
8Sandefjord111013.7816.021.46
9Aalesund111513.7316.271.48
10HamKam101713.415.671.57
11Vålerenga111312.4119.371.76
12Kristiansund111112.114.631.33
13KFUM111211.7514.331.3
14Start121310.8314.731.23
15Fredrikstad111510.3813.881.26
16Rosenborg1199.615.731.43
Upcoming Fixtures (Next 14 Days)
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Showing home xG for home teams, away xG for away teams Showing overall xG for all teams

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Recent Results with xG
xG
Sat, May 30
xG
1.67
Molde
2 - 1
Sandefjord
0.85
xG
Fri, May 29
xG
0.35
KFUM
0 - 0
Tromsø
0.78
1.57
Rosenborg
2 - 2
Bodø / Glimt
2.33
1.75
Fredrikstad
2 - 1
Start
0.66
3.16
Vålerenga
3 - 1
Kristiansund
1.21
0.81
Brann
1 - 2
Sarpsborg 08
1.5
2.05
Aalesund
2 - 2
HamKam
2.15
xG
Mon, May 25
xG
1
Sandefjord
1 - 1
Fredrikstad
2.01
2.49
KFUM
2 - 0
Rosenborg
1.13
1.2
HamKam
2 - 0
Lillestrøm
2.24
1.98
Tromsø
1 - 1
Aalesund
1.22
1.28
Sarpsborg 08
2 - 1
Molde
1.7
0.92
Start
2 - 0
Vålerenga
1.4
xG
Sun, May 24
xG
1.19
Kristiansund
1 - 2
Viking
1.45
3.1
Bodø / Glimt
3 - 1
Brann
0.2
xG
Wed, May 20
xG
2.33
Aalesund
2 - 1
Brann
1.04
1
Lillestrøm
1 - 2
Kristiansund
1.19
1.43
Start
1 - 4
Bodø / Glimt
2.27
xG
Sat, May 16
xG
2.39
Vålerenga
3 - 2
Sarpsborg 08
2.27
4.12
Bodø / Glimt
5 - 0
Tromsø
0.76
1.6
Lillestrøm
3 - 1
Sandefjord
0.99
1.43
Molde
1 - 0
Kristiansund
1.15
1.08
Rosenborg
2 - 3
Aalesund
1.13
0.92
Fredrikstad
2 - 1
HamKam
1.08
2.14
Viking
6 - 3
Start
1.37
1.93
Brann
2 - 1
KFUM
0.78
xG
Sun, May 10
xG
0.19
KFUM
0 - 2
Viking
2.5
1.79
Tromsø
2 - 0
Molde
1.22
0.51
Sandefjord
2 - 0
Kristiansund
0.9
2.16
Rosenborg
2 - 0
Lillestrøm
0.47
xG
Sat, May 9
xG
1.65
Sarpsborg 08
2 - 1
Fredrikstad
0.81
xG
Fri, May 8
xG
0.76
HamKam
1 - 0
Vålerenga
1.85
xG
Mon, May 4
xG
2.9
Bodø / Glimt
0 - 1
Molde
0.53
xG
Sun, May 3
xG
1.54
Vålerenga
2 - 2
KFUM
1.61
2.22
Sandefjord
1 - 0
Aalesund
0.98
0.75
Kristiansund
1 - 1
HamKam
1.04
1.19
Start
1 - 1
Tromsø
0.6
2.99
Lillestrøm
4 - 0
Sarpsborg 08
0.82
xG
Sat, May 2
xG
3.19
Brann
3 - 1
Fredrikstad
0.87
xG
Fri, May 1
xG
2.31
Viking
3 - 0
Rosenborg
1.14
xG
Thu, Apr 30
xG
4.24
Bodø / Glimt
5 - 0
Start
1.14
xG
Wed, Apr 29
xG
1.94
Tromsø
0 - 5
Brann
2.62
xG
Sun, Apr 26
xG
1.35
Lillestrøm
0 - 2
Bodø / Glimt
1.26
1.2
KFUM
1 - 0
Sarpsborg 08
1.78
1.29
HamKam
2 - 1
Start
0.73
1.43
Tromsø
3 - 1
Sandefjord
0.79
1.56
Aalesund
1 - 1
Kristiansund
1.18
2.79
Molde
5 - 1
Vålerenga
1.07
xG
Sat, Apr 25
xG
1.82
Rosenborg
1 - 1
Brann
1.46
0.72
Fredrikstad
1 - 2
Viking
2.19

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Eliteserien xG Table 2025/26

The Eliteserien xG table for 2025/26 tracks expected goals data for all 16 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?

Bodø / Glimt top the xG charts with 31.97 expected goals from 11 games (2.91/90). With 28 goals scored, they are underperforming by 4.

Who has the best defence?

Viking have the tightest defence by xGA, conceding just 11.91 expected goals (1.19/90). Their actual goals conceded stands at 10.

Biggest overperformer

Viking are the biggest overperformers in Eliteserien, scoring 29 goals from an xG of just 24.39 — a difference of +4.6. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Rosenborg are the most wasteful in front of goal, scoring 9 from an xG of 15.73 (diff: -6.7). 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: 2026-06-07 14:36:14