#TeamPGxG/90+/-
1Bodø / Glimt194953.182.8-4.2
2Viking194342.842.25+0.2
3Molde193837.081.95+0.9
4Brann193735.411.86+1.6
5Vålerenga193334.21.8-1.2
6Rosenborg193132.721.72-1.7
7Lillestrøm192632.651.72-6.7
8Sarpsborg 08192232.561.71-10.6
9Tromsø193431.51.66+2.5
10Aalesund193029.981.580
11Start192027.981.47-8
12HamKam192626.791.41-0.8
13Sandefjord191625.131.32-9.1
14Kristiansund191923.371.23-4.4
15Fredrikstad192323.251.22-0.3
16KFUM192022.421.18-2.4
#TeamPGAxGA/90+/-
1Bodø / Glimt191518.961-4
2Molde192925.91.36+3.1
3Viking191926.731.41-7.7
4Tromsø192227.311.44-5.3
5Lillestrøm192629.691.56-3.7
6Rosenborg192629.891.57-3.9
7Sarpsborg 08192531.471.66-6.5
8Brann192932.191.69-3.2
9Kristiansund192933.171.75-4.2
10HamKam193634.321.81+1.7
11Vålerenga194034.951.84+5.1
12KFUM193334.961.84-2
13Sandefjord192434.971.84-11
14Start194136.221.91+4.8
15Fredrikstad193037.461.97-7.5
16Aalesund194342.872.26+0.1
#TeamPPTSxPTS/90+/-
1Bodø / Glimt194743.292.28+3.7
2Viking194435.571.87+8.4
3Molde193332.521.71+0.5
4Tromsø193530.11.58+4.9
5Rosenborg192728.821.52-1.8
6Brann192628.161.48-2.2
7Lillestrøm192928.121.48+0.9
8Sarpsborg 08192427.341.44-3.3
9Vålerenga192225.921.36-3.9
10HamKam192322.651.19+0.4
11Start191322.251.17-9.3
12Kristiansund191921.911.15-2.9
13Sandefjord192020.981.1-1
14Aalesund191820.211.06-2.2
15KFUM191919.21.01-0.2
16Fredrikstad192618.840.99+7.2
#TeamPxGxGAxGD/90
1Bodø / Glimt1953.1818.9634.221.8
2Viking1942.8426.7316.110.85
3Molde1937.0825.911.180.59
4Tromsø1931.527.314.190.22
5Brann1935.4132.193.220.17
6Lillestrøm1932.6529.692.960.16
7Rosenborg1932.7229.892.830.15
8Sarpsborg 081932.5631.471.090.06
9Vålerenga1934.234.95-0.75-0.04
10HamKam1926.7934.32-7.53-0.4
11Start1927.9836.22-8.24-0.43
12Kristiansund1923.3733.17-9.8-0.52
13Sandefjord1925.1334.97-9.84-0.52
14KFUM1922.4234.96-12.54-0.66
15Aalesund1929.9842.87-12.89-0.68
16Fredrikstad1923.2537.46-14.21-0.75
#TeamPGnpxGxG/90
1Bodø / Glimt194948.4453.182.8
2Viking194338.8942.842.25
3Molde193835.537.081.95
4Vålerenga193332.6234.21.8
5Brann193732.2535.411.86
6Tromsø193431.531.51.66
7Sarpsborg 08192230.1932.561.71
8Rosenborg193129.5632.721.72
9Lillestrøm192629.4932.651.72
10Aalesund193029.1929.981.58
11Start192026.427.981.47
12HamKam192625.2126.791.41
13Sandefjord191623.5525.131.32
14Kristiansund191922.5823.371.23
15Fredrikstad192322.4623.251.22
16KFUM192021.6322.421.18
#TeamPGxGoTxG/90
1Bodø / Glimt194944.1553.182.8
2Viking194336.4842.842.25
3Molde193833.1237.081.95
4Brann193731.5735.411.86
5Tromsø193431.2531.51.66
6Vålerenga193330.9734.21.8
7Rosenborg193127.2532.721.72
8Sarpsborg 08192227.2232.561.71
9Aalesund193025.5329.981.58
10Lillestrøm192624.8832.651.72
11HamKam192620.8326.791.41
12Sandefjord191620.6325.131.32
13Fredrikstad192318.6623.251.22
14Kristiansund191918.5123.371.23
15KFUM192017.3122.421.18
16Start192016.7527.981.47
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, 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
3.04
Brann
3 - 0
HamKam
0.54
3.05
Sarpsborg 08
1 - 2
Sandefjord
1.79
2.12
Aalesund
5 - 5
Vålerenga
3.48
xG
Sat, Aug 15
xG
1.08
KFUM
1 - 1
Lillestrøm
2.17
xG
Fri, Aug 14
xG
0.37
Rosenborg
2 - 1
Viking
0.06
xG
Sun, Aug 9
xG
0.54
Kristiansund
2 - 1
Molde
3.77
2.09
HamKam
1 - 1
Aalesund
0.88
2.41
Lillestrøm
0 - 2
Rosenborg
2.61
xG
Sat, Aug 8
xG
2.19
Start
0 - 1
Fredrikstad
1.19
3.27
Viking
2 - 1
Sarpsborg 08
2.61
1.12
Vålerenga
1 - 2
Bodø / Glimt
1.92
xG
Fri, Aug 7
xG
1.76
Sandefjord
0 - 1
KFUM
1.92
xG
Sun, Aug 2
xG
1
Brann
3 - 2
Rosenborg
2.25
1
KFUM
2 - 1
Kristiansund
1.54
1.79
Molde
3 - 3
Sarpsborg 08
1.38
2.65
Aalesund
2 - 6
Tromsø
2.02
xG
Sat, Aug 1
xG
2.92
Start
0 - 3
Viking
1.28
1.5
Fredrikstad
1 - 0
Sandefjord
1.09
xG
Fri, Jul 31
xG
2.52
Bodø / Glimt
4 - 0
Lillestrøm
0.67
0.96
Vålerenga
0 - 3
HamKam
1.21
xG
Mon, Jul 27
xG
2.73
Rosenborg
4 - 0
Fredrikstad
0.5
xG
Sun, Jul 26
xG
1.9
Aalesund
1 - 1
Viking
1.93
0.53
KFUM
2 - 4
Molde
2.72
0.78
Sandefjord
0 - 3
Bodø / Glimt
2.61
2
Sarpsborg 08
1 - 0
HamKam
1.02
2.49
Brann
2 - 3
Vålerenga
1.8
xG
Sat, Jul 25
xG
0.53
Kristiansund
1 - 2
Start
2.09
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

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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 53.18 expected goals from 19 games (2.8/90). With 49 goals scored, they are underperforming by 4.2.

Who has the best defence?

Bodø / Glimt have the tightest defence by xGA, conceding just 18.96 expected goals (1/90). Their actual goals conceded stands at 15.

Biggest overperformer

Tromsø are the biggest overperformers in Eliteserien, scoring 34 goals from an xG of just 31.5 — a difference of +2.5. 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 22 from an xG of 32.56 (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: 2026-09-07 20:35:44