#TeamPGxG/90+/-
1Tromsø61113.662.28-2.7
2Viking51413.062.61+0.9
3Brann51010.752.15-0.8
4Lillestrøm5910.312.06-1.3
5Bodø / Glimt479.712.43-2.7
6Molde589.021.8-1
7Sarpsborg 08558.541.71-3.5
8Sandefjord538.091.62-5.1
9KFUM567.881.58-1.9
10HamKam487.531.88+0.5
11Vålerenga547.041.41-3
12Fredrikstad576.71.34+0.3
13Rosenborg526.71.34-4.7
14Aalesund566.271.25-0.3
15Kristiansund456.211.55-1.2
16Start545.891.18-1.9
#TeamPGAxGA/90+/-
1Tromsø615.981-5
2Bodø / Glimt466.111.53-0.1
3Lillestrøm526.681.34-4.7
4Viking556.891.38-1.9
5Molde577.931.59-0.9
6Rosenborg577.931.59-0.9
7HamKam4108.052.01+2
8Sarpsborg 08558.261.65-3.3
9Sandefjord548.261.65-4.3
10KFUM5118.351.67+2.7
11Start589.171.83-1.2
12Vålerenga549.761.95-5.8
13Kristiansund479.82.45-2.8
14Brann5109.931.99+0.1
15Fredrikstad51010.652.13-0.7
16Aalesund51213.612.72-1.6
#TeamPPTSxPTS/90+/-
1Tromsø61612.722.12+3.3
2Viking51210.392.08+1.6
3Lillestrøm5138.81.76+4.2
4Molde577.621.52-0.6
5Bodø / Glimt477.441.86-0.4
6Brann537.351.47-4.4
7Sarpsborg 08557.171.43-2.2
8KFUM546.981.4-3
9Sandefjord576.941.39+0.1
10Rosenborg546.411.28-2.4
11Vålerenga575.541.11+1.5
12HamKam465.261.32+0.7
13Fredrikstad574.790.96+2.2
14Start534.720.94-1.7
15Aalesund523.740.75-1.7
16Kristiansund463.680.92+2.3
#TeamPxGxGAxGD/90
1Tromsø613.665.987.681.28
2Viking513.066.896.171.23
3Lillestrøm510.316.683.630.73
4Bodø / Glimt49.716.113.60.9
5Molde59.027.931.090.22
6Brann510.759.930.820.16
7Sarpsborg 0858.548.260.280.06
8Sandefjord58.098.26-0.17-0.03
9KFUM57.888.35-0.47-0.09
10HamKam47.538.05-0.52-0.13
11Rosenborg56.77.93-1.23-0.25
12Vålerenga57.049.76-2.72-0.54
13Start55.899.17-3.28-0.66
14Kristiansund46.219.8-3.59-0.9
15Fredrikstad56.710.65-3.95-0.79
16Aalesund56.2713.61-7.34-1.47
#TeamPGnpxGxG/90
1Tromsø61113.6613.662.28
2Viking51413.0613.062.61
3Lillestrøm599.5210.312.06
4Brann5109.1710.752.15
5Molde589.029.021.8
6Bodø / Glimt478.929.712.43
7KFUM567.887.881.58
8Sarpsborg 08557.758.541.71
9Vålerenga547.047.041.41
10Fredrikstad576.76.71.34
11Rosenborg526.76.71.34
12Sandefjord536.518.091.62
13Aalesund566.276.271.25
14HamKam485.957.531.88
15Kristiansund455.426.211.55
16Start545.15.891.18
#TeamPGxGoTxG/90
1Viking51413.4213.062.61
2Tromsø61112.3513.662.28
3Brann51010.7510.752.15
4Lillestrøm599.9210.312.06
5Sarpsborg 08558.718.541.71
6Molde587.779.021.8
7Bodø / Glimt476.999.712.43
8Kristiansund456.486.211.55
9Aalesund566.276.271.25
10Sandefjord536.268.091.62
11KFUM5667.881.58
12HamKam485.77.531.88
13Vålerenga545.477.041.41
14Fredrikstad575.036.71.34
15Start544.55.891.18
16Rosenborg522.876.71.34
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Sun, Apr 19
xG
1.08
Start
1 - 1
Molde
1.52
2.96
HamKam
4 - 0
KFUM
0.7
1.87
Kristiansund
2 - 0
Fredrikstad
3.08
1.25
Sarpsborg 08
0 - 1
Tromsø
1.28
1.2
Vålerenga
0 - 2
Lillestrøm
0.99
xG
Sat, Apr 18
xG
1.8
Viking
3 - 2
Brann
1.3
1.1
Sandefjord
0 - 0
Rosenborg
1.12
3.91
Bodø / Glimt
3 - 0
Aalesund
0.87
xG
Wed, Apr 15
xG
1.4
Tromsø
0 - 0
Lillestrøm
0.87
1.79
Sarpsborg 08
1 - 1
Bodø / Glimt
1.79
xG
Sun, Apr 12
xG
1.95
Brann
0 - 1
Sandefjord
0.94
1.84
Molde
4 - 1
HamKam
0.89
2.45
Fredrikstad
1 - 1
Vålerenga
2.3
1.44
Aalesund
2 - 2
KFUM
2.01
1.57
Rosenborg
2 - 1
Sarpsborg 08
1.48
xG
Sat, Apr 11
xG
2.8
Viking
5 - 0
Bodø / Glimt
0.89
1.47
Tromsø
2 - 0
Kristiansund
0.89
1.72
Lillestrøm
3 - 1
Start
0.67
xG
Tue, Apr 7
xG
0.71
KFUM
1 - 2
Sandefjord
2.05
1.3
Aalesund
2 - 3
Fredrikstad
0.62
xG
Mon, Apr 6
xG
2.51
Tromsø
2 - 0
Rosenborg
0.44
0.81
Molde
0 - 1
Lillestrøm
1.48
1.72
HamKam
1 - 5
Brann
2.38
0.45
Kristiansund
0 - 3
Bodø / Glimt
2.43
1.82
Sarpsborg 08
1 - 1
Start
0.72
0.92
Vålerenga
0 - 1
Viking
3.05
xG
Sun, Mar 22
xG
1.4
Fredrikstad
3 - 1
KFUM
1.64
1.48
Brann
1 - 2
Tromsø
2.02
1.24
Sandefjord
0 - 2
Sarpsborg 08
2.1
1.83
Rosenborg
0 - 2
Vålerenga
0.94
xG
Sat, Mar 21
xG
2.54
Viking
4 - 1
Molde
1.86
2.57
Start
1 - 1
Aalesund
1.15
xG
Sun, Mar 15
xG
3.13
Tromsø
4 - 0
Fredrikstad
0.45
1.18
KFUM
2 - 0
Start
0.53
1.23
Vålerenga
1 - 0
Sandefjord
2.17
1.02
Aalesund
1 - 3
Lillestrøm
3.36
2.39
Kristiansund
3 - 2
Brann
2.18
xG
Sat, Mar 14
xG
1.57
Molde
2 - 0
Rosenborg
0.93
1.26
HamKam
2 - 1
Viking
1.83
xG
Sun, Nov 30
xG
2.77
Bodø / Glimt
5 - 0
Fredrikstad
0.27
2.65
Rosenborg
6 - 0
Strømsgodset
1.4
0.39
Haugesund
1 - 4
Bryne
1.42
2.82
Brann
3 - 1
HamKam
0.21
1.22
Sandefjord
2 - 0
KFUM
1.03
0.24
Kristiansund
1 - 3
Tromsø
1.92
0.97
Sarpsborg 08
1 - 0
Molde
2.84
2.14
Viking
5 - 1
Vålerenga
0.34
xG
Sun, Nov 23
xG
1.1
Fredrikstad
0 - 1
Viking
1.47
3.69
HamKam
5 - 0
Haugesund
0.59
1.74
Bryne
0 - 3
Sarpsborg 08
1.25

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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?

Tromsø top the xG charts with 13.66 expected goals from 6 games (2.28/90). With 11 goals scored, they are underperforming by 2.7.

Who has the best defence?

Tromsø have the tightest defence by xGA, conceding just 5.98 expected goals (1/90). Their actual goals conceded stands at 1.

Biggest underperformer

Sandefjord are the most wasteful in front of goal, scoring 3 from an xG of 8.09 (diff: -5.1). 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: 2026-04-23 06:21:07