xgEdge

Expected goals

KFUM Oslo expected goals (xG) 2026/2027

Eliteserien · after 21 matches · updated 4 Oct

KFUM Oslo's attacking and defensive expected goals in Eliteserien 2026/2027, compared with the results they produced and with the rest of the competition.

KFUM Oslo xG and xGA per match

Every match ↓
Attack
1.09 xG per match
#15/16
Attack (xG per match) across Eliteserien, best first
Rank Club xG per match
#1 Bodø/Glimt 2.31
#2 Viking FK 2.09
#3 Molde FK 1.83
#4 Tromsø IL 1.60
#5 SK Brann 1.58
#6 Rosenborg BK 1.56
#7 Lillestrøm SK 1.56
#8 Vålerenga IF 1.55
#9 Sarpsborg 08 1.51
#10 Aalesunds FK 1.40
#11 IK Start 1.36
#12 Fredrikstad FK 1.20
#13 Sandefjord Fotball 1.18
#14 HamKam 1.14
#15 KFUM Oslo 1.09
#16 Kristiansund BK 0.97
League avg
1.50
Total
22.80 21 matches
Defence
1.78 xGA per match
#15/16
Defence (xGA per match) across Eliteserien, best first
Rank Club xGA per match
#1 Bodø/Glimt 0.90
#2 Viking FK 1.16
#3 Molde FK 1.17
#4 Tromsø IL 1.23
#5 Sarpsborg 08 1.40
#6 Rosenborg BK 1.42
#7 Lillestrøm SK 1.46
#8 SK Brann 1.53
#9 Sandefjord Fotball 1.59
#10 IK Start 1.61
#11 Vålerenga IF 1.63
#12 HamKam 1.66
#13 Fredrikstad FK 1.67
#14 Kristiansund BK 1.72
#15 KFUM Oslo 1.78
#16 Aalesunds FK 1.98
League avg
1.50
Total
37.38 21 matches
xG difference
-0.69 xGD per match
#15/16
xG difference (xGD per match) across Eliteserien, best first
Rank Club xGD per match
#1 Bodø/Glimt +1.41
#2 Viking FK +0.93
#3 Molde FK +0.66
#4 Tromsø IL +0.37
#5 Rosenborg BK +0.14
#6 Sarpsborg 08 +0.11
#7 Lillestrøm SK +0.10
#8 SK Brann +0.05
#9 Vålerenga IF -0.08
#10 IK Start -0.25
#11 Sandefjord Fotball -0.41
#12 Fredrikstad FK -0.47
#13 HamKam -0.52
#14 Aalesunds FK -0.58
#15 KFUM Oslo -0.69
#16 Kristiansund BK -0.75
League avg
0.00
Total
-14.58 21 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
0.94 xPts per match
#16/16
Expected points (xPts per match) across Eliteserien, best first
Rank Club xPts per match
#1 Bodø/Glimt 2.24
#2 Viking FK 1.97
#3 Molde FK 1.80
#4 Tromsø IL 1.68
#5 Rosenborg BK 1.52
#6 Lillestrøm SK 1.46
#7 Sarpsborg 08 1.45
#8 SK Brann 1.40
#9 Vålerenga IF 1.33
#10 IK Start 1.19
#11 Fredrikstad FK 1.10
#12 Sandefjord Fotball 1.09
#13 HamKam 1.05
#14 Aalesunds FK 1.04
#15 Kristiansund BK 0.95
#16 KFUM Oslo 0.94
League avg
1.39
Total
19.79 vs 25 actual pts

What the xG says

KFUM Oslo's underlying numbers are among the weakest in Eliteserien. They rank #15 for xG difference at -0.69 per match, from low shot volume at about average chance quality. Their 25 goals are 2.20 above 22.80 xG, while 25 points are 5.21 above 19.79 xPts.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG Includes 1.93 xG from penalties
25 22.80 +2.20 scored 2.20 more than xG within normal variance
Goals conceded vs xGA
35 37.38 -2.38 conceded 2.38 fewer than xGA within normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
25 19.79 +5.21 5.21 points above xPts outside normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

KFUM Oslo are 2.20 goals above their xG after 21 matches.

Goals
25
xG
22.80
Gap
+2.20
Sun 15/03 Sun 22/03 Tue 07/04 Sun 12/04 Sun 19/04 Sun 26/04 Sun 03/05 Sun 10/05 Sat 16/05 Mon 25/05 Fri 29/05 Sun 12/07 Sat 18/07 Sun 26/07 Sun 02/08 Fri 07/08 Sat 15/08 Sun 30/08 Sun 06/09 Sun 13/09 Fri 18/09 -1 0 +1 +2 +3 +0.85 +0.71 +1.16 +0.72 -0.05 -0.09 +0.59 +0.42 +0.90 +0.39 +0.03 -0.99 -0.45 +0.86 +1.63 +0.38 +0.46 -0.19 -0.37 +0.15 +2.20 +0.85 -0.14 +0.45 -0.44 -0.77 -0.04 +0.68 -0.17 +0.48 -0.51 -0.36 -1.02 +0.54 +1.31 +0.77 -1.25 +0.08 -0.65 -0.18 +0.52 +2.05 Running gap goals − xG Each match goals − xG
KFUM Oslo: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sun 15/03 IK Start 2 1.15 +0.85 +0.85
Sun 22/03 Fredrikstad FK 1 1.14 -0.14 +0.71
Tue 07/04 Sandefjord Fotball 1 0.55 +0.45 +1.16
Sun 12/04 Aalesunds FK 2 2.44 -0.44 +0.72
Sun 19/04 HamKam 0 0.77 -0.77 -0.05
Sun 26/04 Sarpsborg 08 1 1.04 -0.04 -0.09
Sun 03/05 Vålerenga IF 2 1.32 +0.68 +0.59
Sun 10/05 Viking FK 0 0.17 -0.17 +0.42
Sat 16/05 SK Brann 1 0.52 +0.48 +0.90
Mon 25/05 Rosenborg BK 2 2.51 -0.51 +0.39
Fri 29/05 Tromsø IL 0 0.36 -0.36 +0.03
Sun 12/07 Bodø/Glimt 0 1.02 -1.02 -0.99
Sat 18/07 Lillestrøm SK 1 0.46 +0.54 -0.45
Sun 26/07 Molde FK 2 0.69 +1.31 +0.86
Sun 02/08 Kristiansund BK 2 1.23 +0.77 +1.63
Fri 07/08 Sandefjord Fotball 1 2.25 -1.25 +0.38
Sat 15/08 Lillestrøm SK 1 0.92 +0.08 +0.46
Sun 30/08 IK Start 1 1.65 -0.65 -0.19
Sun 06/09 Molde FK 0 0.18 -0.18 -0.37
Sun 13/09 Aalesunds FK 2 1.48 +0.52 +0.15
Fri 18/09 Sarpsborg 08 3 0.95 +2.05 +2.20

Goals vs xG ranking → Expected points ranking → Compare with every club in Europe →

KFUM Oslo xG trend

Current form -1.10 npxGD per match

The last 6 matches with xG.

Out-created the opponent in 6 of 21 matches. The worst was against Molde FK on Sun 26/07 (-2.98).

npxG · last 6
0.90
npxGA · last 6
2.00
-3 -2 -1 0 +1 +2 +0.74 Sun 15/03 -0.29 Sun 22/03 -0.32 Tue 07/04 +1.13 Sun 12/04 -0.34 Sun 19/04 +0.43 Sun 26/04 +0.02 Sun 03/05 -1.95 Sun 10/05 -1.35 Sat 16/05 +1.73 Mon 25/05 -0.47 Fri 29/05 -0.42 Sun 12/07 -0.71 Sat 18/07 -2.98 Sun 26/07 -0.15 Sun 02/08 +0.44 Fri 07/08 -1.09 Sat 15/08 -2.69 Sun 30/08 -1.64 Sun 06/09 -0.74 Sun 13/09 -0.87 Fri 18/09 -0.55 season avg
KFUM Oslo: non-penalty xG, xGA and their difference in each match, with the season's average so far
Date Opponent npxG npxGA npxGD Avg so far
Sun 15/03 IK Start 1.15 0.41 +0.74 +0.74
Sun 22/03 Fredrikstad FK 1.24 1.53 -0.29 +0.22
Tue 07/04 Sandefjord Fotball 0.59 0.91 -0.32 +0.04
Sun 12/04 Aalesunds FK 2.44 1.31 +1.13 +0.31
Sun 19/04 HamKam 0.77 1.11 -0.34 +0.18
Sun 26/04 Sarpsborg 08 1.04 0.61 +0.43 +0.22
Sun 03/05 Vålerenga IF 1.32 1.30 +0.02 +0.20
Sun 10/05 Viking FK 0.17 2.12 -1.95 -0.07
Sat 16/05 SK Brann 0.52 1.87 -1.35 -0.21
Mon 25/05 Rosenborg BK 2.64 0.91 +1.73 -0.02
Fri 29/05 Tromsø IL 0.37 0.84 -0.47 -0.06
Sun 12/07 Bodø/Glimt 1.11 1.53 -0.42 -0.09
Sat 18/07 Lillestrøm SK 0.56 1.27 -0.71 -0.14
Sun 26/07 Molde FK 0.45 3.43 -2.98 -0.34
Sun 02/08 Kristiansund BK 1.10 1.25 -0.15 -0.33
Fri 07/08 Sandefjord Fotball 1.80 1.36 +0.44 -0.28
Sat 15/08 Lillestrøm SK 0.92 2.01 -1.09 -0.33
Sun 30/08 IK Start 0.86 3.55 -2.69 -0.46
Sun 06/09 Molde FK 0.18 1.82 -1.64 -0.52
Sun 13/09 Aalesunds FK 0.69 1.43 -0.74 -0.53
Fri 18/09 Sarpsborg 08 0.95 1.82 -0.87 -0.55

Each bar is one match's non-penalty xG minus the non-penalty xG against; the line is that difference averaged over the season up to each match, and it finishes on the dashed season average — 0.99 npxG and 1.54 npxGA per match. Current form is the same difference over the last 6 matches with xG.

Form ranking →

Strength of schedule

Season so far
tied number 2 hardest of 16 in Eliteserien
+0.03 xG vs league average
Over 21 league matches
Last 5
number 5 hardest of 16 in Eliteserien
+0.05 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

+0.03 xG vs league average · over 21 matches · tied number 2 hardest of 16

  1. Sarpsborg 08 Away +0.08
  2. Aalesunds FK Home −0.12
  3. Molde FK Away +0.35
  4. IK Start Away +0.04
  5. Lillestrøm SK Home −0.10
  6. Sandefjord Fotball Away −0.13
  7. Kristiansund BK Home −0.36
  8. Molde FK Home +0.35
  9. Lillestrøm SK Away −0.10
  10. Bodø/Glimt Home +0.79
  11. Tromsø IL Home +0.08
  12. Rosenborg BK Home +0.14
  13. SK Brann Away 0.00
  14. Viking FK Home +0.35
  15. Vålerenga IF Away +0.11
  16. Sarpsborg 08 Home +0.08
  17. HamKam Away −0.51
  18. Aalesunds FK Away −0.12
  19. Sandefjord Fotball Home −0.13
  20. Fredrikstad FK Away −0.20
  21. IK Start Home +0.04

Last 5

+0.05 xG vs league average · over 5 matches · number 5 hardest of 16

  1. Sarpsborg 08 Away +0.08
  2. Aalesunds FK Home −0.12
  3. Molde FK Away +0.35
  4. IK Start Away +0.04
  5. Lillestrøm SK Home −0.10

League schedule strength → How this is calculated →

KFUM Oslo shots and chance quality

Low volume, average quality. KFUM Oslo take 10.5 shots a match (league 13.8) at 0.09 npxG a shot (league 0.10), #15 in Eliteserien for volume and #11 for quality. 64% of their shots come from inside the box (league 69%), and set pieces produce 17% of their npxG (league 24%).

Attack

Shot volume
10.5 shots per match
#15/16
Shot volume (shots per match) across Eliteserien, best first
Rank Club shots per match
#1 Bodø/Glimt 17.7
=2 Viking FK 16.2
=2 Vålerenga IF 16.2
#4 Aalesunds FK 15.6
#5 Molde FK 15.4
#6 Sandefjord Fotball 14.5
#7 SK Brann 14.1
#8 IK Start 14.0
#9 Rosenborg BK 13.6
#10 Tromsø IL 13.5
#11 Sarpsborg 08 13.3
#12 Lillestrøm SK 12.5
#13 Kristiansund BK 12.5
#14 Fredrikstad FK 11.3
#15 KFUM Oslo 10.5
#16 HamKam 10.4
League avg
13.8
Total
220 shots from 21 matches
Chance quality
0.09 npxG per shot
#11/16
Chance quality (npxG per shot) across Eliteserien, best first
Rank Club npxG per shot
#1 Bodø/Glimt 0.11
#2 Tromsø IL 0.11
#3 Viking FK 0.11
#4 Molde FK 0.11
#5 Lillestrøm SK 0.10
#6 Rosenborg BK 0.10
#7 Sarpsborg 08 0.10
#8 Fredrikstad FK 0.10
#9 HamKam 0.10
#10 SK Brann 0.10
#11 KFUM Oslo 0.09
#12 IK Start 0.09
#13 Vålerenga IF 0.09
#14 Aalesunds FK 0.09
#15 Kristiansund BK 0.08
#16 Sandefjord Fotball 0.07
League avg
0.10
Total
20.87 npxG from 220 shots

Defence

Shots allowed
14.7 shots per match
#10/16
Shots allowed (shots per match) across Eliteserien, best first
Rank Club shots per match
#1 Bodø/Glimt 8.3
#2 Tromsø IL 11.2
#3 Molde FK 12.0
#4 Viking FK 13.0
#5 Sarpsborg 08 13.1
#6 Rosenborg BK 13.3
#7 Lillestrøm SK 13.9
#8 SK Brann 14.4
#9 IK Start 14.4
#10 KFUM Oslo 14.7
#11 Vålerenga IF 14.8
#12 Fredrikstad FK 15.0
=13 Kristiansund BK 15.0
=13 Sandefjord Fotball 15.0
#15 HamKam 16.4
#16 Aalesunds FK 16.9
League avg
13.8
Total
309 shots allowed from 21 matches
Chance quality allowed
0.10 npxGA per shot
#14/16
Chance quality allowed (npxGA per shot) across Eliteserien, best first
Rank Club npxGA per shot
#1 Viking FK 0.08
#2 Sandefjord Fotball 0.09
#3 Lillestrøm SK 0.09
#4 Sarpsborg 08 0.09
#5 Molde FK 0.09
#6 IK Start 0.10
#7 SK Brann 0.10
#8 Vålerenga IF 0.10
#9 Fredrikstad FK 0.10
#10 HamKam 0.10
#11 Kristiansund BK 0.10
#12 Rosenborg BK 0.10
#13 Tromsø IL 0.10
#14 KFUM Oslo 0.10
#15 Bodø/Glimt 0.11
#16 Aalesunds FK 0.11
League avg
0.10
Total
32.39 npxGA from 309 shots

Shot profile

Shot location

64% inside the box

League avg 69%

From 142 of 221 shots over 21 matches

Shots allowed, location

71% allowed inside the box

League avg 69%

From 220 of 309 shots allowed over 21 matches

Where the npxG comes from

83% open play · 17% set pieces

League avg 24% set pieces

From 3.5 of 20.9 npxG over 21 matches

Where the npxG allowed comes from

73% open play · 27% set pieces

League avg 24% set pieces

From 8.7 of 32.4 npxG allowed over 21 matches

How the shot figures are made →

KFUM Oslo home and away xG

KFUM Oslo per-match figures at home and away
Measure Home Away
Matches 11 10
xG / match 1.01 1.17
xGA / match 1.68 1.89
xGD / match -0.67 -0.73
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 0.98 0.90

Every figure divides by that half's matches with xG. A half with fewer than 3 matches with xG is muted.

Every KFUM Oslo match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

Last 5

Matches
5
xG / match
1.04
xGA / match
2.44
xGD / match
-1.41
Points
7 of 15
  1. Fri 18/09 Sarpsborg 08 A Against the chances xG 0.95 xGA 2.60 P xGD -1.65
  2. Sun 13/09 Aalesunds FK H Best underlying xG 1.48 P xGA 1.57 xGD -0.09
  3. Sun 06/09 Molde FK A xG 0.18 xGA 1.81 xGD -1.63
  4. Sun 30/08 IK Start A xG 1.65 P xGA 3.43 xGD -1.78
  5. Sat 15/08 Lillestrøm SK H Weakest underlying xG 0.92 xGA 2.80 P xGD -1.88

Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.43. Best and weakest underlying mark the highest and lowest xGD once 5 matches have xG. Against the chances marks a win with xGD of −1.00 or lower, or a loss with +1.00 or higher. P marks a side with at least 0.50 xG from penalties.

Every result, all competitions →

KFUM Oslo in Eliteserien

Attack

Defence

Overall

About the data

xG data
Provided by TheStatsAPI, and stored as published.
Derived metrics
xGD, per-match rates, rankings and rolling averages are calculated from the match data.
Model metrics
xPts is produced by our probability model.

Learn how our xG analytics work →

How the model works →

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