#TeamPGxG/90+/-
1Bodø / Glimt143440.452.89-6.5
2Viking133329.192.25+3.8
3Tromsø152626.881.79-0.9
4Brann142825.311.81+2.7
5Lillestrøm142224.231.73-2.2
6Vålerenga131922.91.76-3.9
7Molde132122.121.7-1.1
8Sarpsborg 08131421.061.62-7.1
9Rosenborg131520.251.56-5.3
10HamKam132019.421.49+0.6
11Aalesund131818.81.45-0.8
12Sandefjord131317.971.38-5
13Start141416.921.21-2.9
14Kristiansund131116.541.27-5.5
15KFUM131315.861.22-2.9
16Fredrikstad131515.061.16-0.1
#TeamPGAxGA/90+/-
1Bodø / Glimt141114.391.03-3.4
2Viking131315.661.2-2.7
3Lillestrøm141417.891.28-3.9
4Molde131719.751.52-2.8
5Sarpsborg 08131620.341.56-4.3
6Rosenborg131820.371.57-2.4
7Tromsø151520.891.39-5.9
8KFUM132121.451.65-0.4
9Sandefjord131722.171.71-5.2
10Vålerenga132223.681.82-1.7
11Kristiansund132124.181.86-3.2
12HamKam132524.241.86+0.8
13Brann142225.051.79-3.1
14Fredrikstad132325.992-3
15Aalesund132828.292.18-0.3
16Start143328.622.04+4.4
#TeamPPTSxPTS/90+/-
1Bodø / Glimt143231.82.27+0.2
2Tromsø153125.671.71+5.3
3Viking133325.651.97+7.4
4Lillestrøm142522.861.63+2.1
5Brann141919.721.41-0.7
6Molde132019.641.51+0.4
7Sarpsborg 08131818.991.46-1
8Rosenborg131518.391.41-3.4
9Vålerenga131717.721.36-0.7
10HamKam131815.671.21+2.3
11Sandefjord131515.621.2-0.6
12KFUM131214.591.12-2.6
13Kristiansund131214.131.09-2.1
14Aalesund131213.531.04-1.5
15Start14713.20.94-6.2
16Fredrikstad131412.450.96+1.6
#TeamPxGxGAxGD/90
1Bodø / Glimt1440.4514.3926.061.86
2Viking1329.1915.6613.531.04
3Lillestrøm1424.2317.896.340.45
4Tromsø1526.8820.895.990.4
5Molde1322.1219.752.370.18
6Sarpsborg 081321.0620.340.720.06
7Brann1425.3125.050.260.02
8Rosenborg1320.2520.37-0.12-0.01
9Vålerenga1322.923.68-0.78-0.06
10Sandefjord1317.9722.17-4.2-0.32
11HamKam1319.4224.24-4.82-0.37
12KFUM1315.8621.45-5.59-0.43
13Kristiansund1316.5424.18-7.64-0.59
14Aalesund1318.828.29-9.49-0.73
15Fredrikstad1315.0625.99-10.93-0.84
16Start1416.9228.62-11.7-0.84
#TeamPGnpxGxG/90
1Bodø / Glimt143436.540.452.89
2Viking133328.429.192.25
3Tromsø152626.8826.881.79
4Brann142822.9425.311.81
5Molde132122.1222.121.7
6Vålerenga131922.1122.91.76
7Lillestrøm142221.8624.231.73
8Aalesund131818.818.81.45
9Sarpsborg 08131418.6921.061.62
10Rosenborg131517.8820.251.56
11HamKam132017.8419.421.49
12Sandefjord131316.3917.971.38
13KFUM131315.8615.861.22
14Kristiansund131115.7516.541.27
15Start141415.3416.921.21
16Fredrikstad131515.0615.061.16
#TeamPGxGoTxG/90
1Bodø / Glimt143432.4640.452.89
2Viking133327.6129.192.25
3Tromsø152625.626.881.79
4Brann142825.1125.311.81
5Lillestrøm142219.1624.231.73
6Molde132118.7922.121.7
7Sarpsborg 08131418.4921.061.62
8Sandefjord131316.1817.971.38
9Aalesund131816.118.81.45
10Vålerenga131916.0422.91.76
11HamKam132015.3619.421.49
12Rosenborg131514.3420.251.56
13KFUM131312.4315.861.22
14Kristiansund131112.4316.541.27
15Start141411.8216.921.21
16Fredrikstad131510.915.061.16
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Wed, Jul 22
xG
0.98
Lillestrøm
1 - 2
Viking
0.97
2.76
Bodø / Glimt
3 - 0
HamKam
0.34
xG
Sat, Jul 18
xG
1.33
Molde
1 - 2
Brann
0.65
2.44
Viking
2 - 1
Sandefjord
0.55
0.73
Lillestrøm
2 - 1
KFUM
0.6
0.78
Kristiansund
0 - 0
Sarpsborg 08
0.99
0.92
Start
0 - 3
Rosenborg
1.72
0.95
HamKam
1 - 4
Tromsø
2.36
xG
Fri, Jul 17
xG
3.04
Bodø / Glimt
1 - 0
Fredrikstad
0.29
xG
Thu, Jul 16
xG
2.45
Vålerenga
6 - 1
Aalesund
1.85
xG
Sun, Jul 12
xG
1.48
Sarpsborg 08
1 - 0
Viking
1.14
2.85
Rosenborg
3 - 0
Kristiansund
0.75
2.21
Brann
2 - 1
Start
1.2
1.82
Sandefjord
2 - 2
HamKam
2.38
1.12
KFUM
0 - 2
Bodø / Glimt
1.68
xG
Sat, Jul 11
xG
1.85
Tromsø
4 - 0
Vålerenga
1.07
0.67
Aalesund
2 - 2
Molde
2.13
1.37
Fredrikstad
0 - 2
Lillestrøm
1.39
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

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Eliteserien xG Table 2026/27

The Eliteserien xG table for 2026/27 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 40.45 expected goals from 14 games (2.89/90). With 34 goals scored, they are underperforming by 6.5.

Who has the best defence?

Bodø / Glimt have the tightest defence by xGA, conceding just 14.39 expected goals (1.03/90). Their actual goals conceded stands at 11.

Biggest overperformer

Viking are the biggest overperformers in Eliteserien, scoring 33 goals from an xG of just 29.19 — a difference of +3.8. 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 14 from an xG of 21.06 (diff: -7.1). 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: 2026-07-24 21:10:17