#TeamPGxG/90+/-
1Bodø / Glimt235865.112.83-7.1
2Viking235955.072.39+3.9
3Molde235248.482.11+3.5
4Brann234043.551.89-3.6
5Rosenborg234342.721.86+0.3
6Vålerenga233842.221.84-4.2
7Tromsø234239.361.71+2.6
8Sarpsborg 08232838.981.69-11
9Lillestrøm233237.71.64-5.7
10Aalesund233937.071.61+1.9
11Start232534.891.52-9.9
12HamKam233331.81.38+1.2
13Sandefjord232230.451.32-8.5
14Fredrikstad232828.551.24-0.6
15KFUM232828.071.22-0.1
16Kristiansund232327.561.2-4.6
#TeamPGAxGA/90+/-
1Bodø / Glimt232021.820.95-1.8
2Tromsø233132.391.41-1.4
3Molde233532.391.41+2.6
4Viking232232.841.43-10.8
5Rosenborg233135.011.52-4
6Sarpsborg 08233438.581.68-4.6
7Lillestrøm233138.731.68-7.7
8Brann233741.361.8-4.4
9Vålerenga234642.091.83+3.9
10HamKam234842.921.87+5.1
11KFUM233742.971.87-6
12Sandefjord233043.231.88-13.2
13Fredrikstad233643.471.89-7.5
14Start235446.522.02+7.5
15Kristiansund234747.052.050
16Aalesund235150.212.18+0.8
#TeamPPTSxPTS/90+/-
1Bodø / Glimt235653.082.31+2.9
2Viking235643.961.91+12
3Molde234040.651.77-0.6
4Tromsø234037.411.63+2.6
5Rosenborg233737.011.610
6Brann232933.121.44-4.1
7Sarpsborg 08232832.251.4-4.3
8Vålerenga232632.171.4-6.2
9Lillestrøm233631.441.37+4.6
10Start231626.261.14-10.3
11HamKam232626.061.13-0.1
12Sandefjord232425.931.13-1.9
13Aalesund232425.611.11-1.6
14Fredrikstad232924.121.05+4.9
15Kristiansund231923.821.04-4.8
16KFUM232923.41.02+5.6
#TeamPxGxGAxGD/90
1Bodø / Glimt2365.1121.8243.291.88
2Viking2355.0732.8422.230.97
3Molde2348.4832.3916.090.7
4Rosenborg2342.7235.017.710.34
5Tromsø2339.3632.396.970.3
6Brann2343.5541.362.190.1
7Sarpsborg 082338.9838.580.40.02
8Vålerenga2342.2242.090.130.01
9Lillestrøm2337.738.73-1.03-0.04
10HamKam2331.842.92-11.12-0.48
11Start2334.8946.52-11.63-0.51
12Sandefjord2330.4543.23-12.78-0.56
13Aalesund2337.0750.21-13.14-0.57
14KFUM2328.0742.97-14.9-0.65
15Fredrikstad2328.5543.47-14.92-0.65
16Kristiansund2327.5647.05-19.49-0.85
#TeamPGnpxGxG/90
1Bodø / Glimt235860.3765.112.83
2Viking235949.5455.072.39
3Molde235246.1148.482.11
4Brann234040.3943.551.89
5Vålerenga233839.8542.221.84
6Rosenborg234338.7742.721.86
7Tromsø234238.5739.361.71
8Aalesund233936.2837.071.61
9Sarpsborg 08232835.0338.981.69
10Lillestrøm233234.5437.71.64
11Start232532.5234.891.52
12HamKam233329.4331.81.38
13Sandefjord232228.8730.451.32
14Fredrikstad232827.7628.551.24
15Kristiansund232326.7727.561.2
16KFUM232825.728.071.22
#TeamPGxGoTxG/90
1Bodø / Glimt235853.7265.112.83
2Viking235948.7555.072.39
3Molde235243.6248.482.11
4Tromsø234237.139.361.71
5Brann234036.0943.551.89
6Vålerenga233836.0442.221.84
7Rosenborg234334.1942.721.86
8Aalesund233932.5837.071.61
9Sarpsborg 08232832.538.981.69
10Lillestrøm233230.7537.71.64
11Sandefjord232226.330.451.32
12HamKam233325.1231.81.38
13KFUM232822.9428.071.22
14Kristiansund232322.5327.561.2
15Start232521.6334.891.52
16Fredrikstad232821.1228.551.24
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
Sun, Oct 18
xG
1.5
Tromsø
1 - 1
KFUM
0.84
4.09
Molde
6 - 1
Start
1.96
3.01
Vålerenga
3 - 1
Brann
3.18
1.41
Sandefjord
0 - 2
Lillestrøm
0.72
1.02
Sarpsborg 08
0 - 3
Rosenborg
2.02
xG
Sat, Oct 17
xG
2.44
Viking
3 - 2
Fredrikstad
0.57
1.58
Kristiansund
1 - 4
Aalesund
1.93
0.51
HamKam
0 - 2
Bodø / Glimt
1.83
xG
Mon, Oct 12
xG
2.18
KFUM
2 - 1
Vålerenga
2.08
xG
Sun, Oct 11
xG
1.76
Lillestrøm
2 - 2
Molde
2.86
1.91
Start
2 - 4
HamKam
2.77
2.24
Aalesund
2 - 4
Sarpsborg 08
2.25
2.11
Fredrikstad
1 - 1
Tromsø
1.74
xG
Sat, Oct 10
xG
3.08
Rosenborg
1 - 1
Sandefjord
0.5
4.22
Bodø / Glimt
3 - 1
Kristiansund
0.26
xG
Fri, Oct 9
xG
2.84
Brann
0 - 2
Viking
1.7
xG
Sun, Sep 20
xG
0.93
Brann
2 - 1
Bodø / Glimt
1.68
2.38
Tromsø
3 - 2
HamKam
0.26
2.29
Sandefjord
3 - 0
Start
0.26
3.39
Viking
3 - 0
Lillestrøm
1.74
1.56
Vålerenga
1 - 1
Fredrikstad
0.85
xG
Sat, Sep 19
xG
1.96
Molde
1 - 2
Aalesund
1.3
1.17
Kristiansund
1 - 3
Rosenborg
3
xG
Fri, Sep 18
xG
2.78
Sarpsborg 08
1 - 3
KFUM
1.08
xG
Mon, Sep 14
xG
4.19
Bodø / Glimt
3 - 2
Sandefjord
1.12
xG
Sun, Sep 13
xG
1.77
Fredrikstad
1 - 1
Sarpsborg 08
0.27
1.55
KFUM
2 - 1
Aalesund
1.62
1.47
HamKam
1 - 5
Molde
2.48
2.78
Start
2 - 0
Brann
1.15
4.68
Viking
8 - 1
Kristiansund
1.06
xG
Sat, Sep 12
xG
1.87
Rosenborg
5 - 3
Tromsø
2.25
0.93
Lillestrøm
2 - 0
Vålerenga
1.37
xG
Sun, Sep 6
xG
0.98
Kristiansund
2 - 0
Tromsø
0.46
2.3
Molde
2 - 0
KFUM
0.26
2.17
Sarpsborg 08
2 - 2
Vålerenga
1.54
xG
Sat, Sep 5
xG
2.38
Brann
1 - 2
Lillestrøm
1.29
1.98
Rosenborg
4 - 0
HamKam
0.58
xG
Fri, Sep 4
xG
0.77
Sandefjord
1 - 1
Viking
2.57
0.84
Fredrikstad
1 - 2
Bodø / Glimt
1.92
2.63
Aalesund
2 - 0
Start
1.79
xG
Sun, Aug 30
xG
1.89
Lillestrøm
1 - 4
Fredrikstad
2.89
0.93
HamKam
2 - 2
Kristiansund
1.33
1.46
Tromsø
0 - 0
Sarpsborg 08
0.64
2.07
Vålerenga
3 - 4
Molde
1.23
1.05
Sandefjord
0 - 0
Brann
0.91
2.52
Start
4 - 1
KFUM
1.69
2.56
Viking
2 - 1
Aalesund
1.17
3.35
Bodø / Glimt
4 - 2
Rosenborg
1.17
xG
Sun, Aug 16
xG
1.06
Fredrikstad
1 - 0
Kristiansund
1.57
2.37
Molde
3 - 2
Tromsø
0.98

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Eliteserien xG Table 2026

The Eliteserien xG table for 2026 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 65.11 expected goals from 23 games (2.83/90). With 58 goals scored, they are underperforming by 7.1.

Who has the best defence?

Bodø / Glimt have the tightest defence by xGA, conceding just 21.82 expected goals (0.95/90). Their actual goals conceded stands at 20.

Biggest overperformer

Viking are the biggest overperformers in Eliteserien, scoring 59 goals from an xG of just 55.07 — a difference of +3.9. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

Sarpsborg 08 are the most wasteful in front of goal, scoring 28 from an xG of 38.98 (diff: -11). 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: 2026-10-23 02:55:56