xgEdge

Expected goals

Silkeborg IF expected goals (xG) 2026/2027

Superliga (Denmark) · after 9 matches · updated 1 Oct

Silkeborg IF's attacking and defensive expected goals in Superliga (Denmark) 2026/2027, compared with the results they produced and with the rest of the competition.

Silkeborg IF xG and xGA per match

Every match ↓
Attack
1.10 xG per match
#9/12
Attack (xG per match) across Superliga (Denmark), best first
Rank Club xG per match
#1 FC Nordsjælland 2.35
#2 Lyngby 1.85
#3 FC København 1.62
=4 AGF 1.60
=4 Viborg FF 1.60
#6 Odense Boldklub 1.55
#7 FC Midtjylland 1.44
#8 Brøndby IF 1.22
#9 Silkeborg IF 1.10
#10 AC Horsens 1.09
#11 Randers FC 1.06
#12 Sønderjyske Fodbold 1.01
League avg
1.46
Total
9.94 9 matches
Defence
1.47 xGA per match
#6/12
Defence (xGA per match) across Superliga (Denmark), best first
Rank Club xGA per match
#1 FC Midtjylland 1.11
#2 FC København 1.16
#3 Viborg FF 1.17
#4 Lyngby 1.36
#5 FC Nordsjælland 1.43
#6 Silkeborg IF 1.47
#7 Brøndby IF 1.54
#8 AGF 1.56
#9 AC Horsens 1.57
#10 Randers FC 1.65
#11 Odense Boldklub 1.68
#12 Sønderjyske Fodbold 1.81
League avg
1.46
Total
13.21 9 matches
xG difference
-0.36 xGD per match
#9/12
xG difference (xGD per match) across Superliga (Denmark), best first
Rank Club xGD per match
#1 FC Nordsjælland +0.93
#2 Lyngby +0.48
#3 FC København +0.46
#4 Viborg FF +0.43
#5 FC Midtjylland +0.33
#6 AGF +0.04
#7 Odense Boldklub -0.13
#8 Brøndby IF -0.32
#9 Silkeborg IF -0.36
#10 AC Horsens -0.48
#11 Randers FC -0.59
#12 Sønderjyske Fodbold -0.80
League avg
0.00
Total
-3.27 9 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
1.22 xPts per match
#8/12
Expected points (xPts per match) across Superliga (Denmark), best first
Rank Club xPts per match
#1 FC Nordsjælland 1.90
#2 FC København 1.71
#3 Viborg FF 1.70
#4 FC Midtjylland 1.61
#5 Lyngby 1.61
#6 AGF 1.49
#7 Odense Boldklub 1.30
#8 Silkeborg IF 1.22
#9 Brøndby IF 1.18
#10 AC Horsens 1.05
#11 Randers FC 0.99
#12 Sønderjyske Fodbold 0.82
League avg
1.38
Total
10.94 vs 10 actual pts

Early-season figures: after 9 matches, per-match rates can move quickly.

What the xG says

Silkeborg IF's underlying numbers are among the weakest in Superliga (Denmark). They rank #9 for xG difference at -0.36 per match, from low shot volume and low chance quality. Their 12 goals are 2.06 above 9.94 xG, while 10 points are 0.94 below 10.94 xPts. After only 9 matches, those gaps should still be read cautiously.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG Includes 1.37 xG from penalties
12 9.94 +2.06 scored 2.06 more than xG within normal variance
Goals conceded vs xGA
12 13.21 -1.21 conceded 1.21 fewer than xGA within normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
10 10.94 -0.94 0.94 points below xPts within normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

Silkeborg IF are 2.06 goals above their xG after 9 matches.

Goals
12
xG
9.94
Gap
+2.06
Mon 27/07 Sun 02/08 Mon 10/08 Sun 16/08 Mon 24/08 Sun 30/08 Sat 05/09 Sun 13/09 Fri 18/09 -2 -1 0 +1 +2 +3 -0.09 -0.61 -1.53 -1.75 -1.74 -1.85 -1.08 -0.99 +2.06 -0.09 -0.52 -0.92 -0.22 +0.01 -0.11 +0.77 +0.09 +3.05 Running gap goals − xG Each match goals − xG
Silkeborg IF: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Mon 27/07 Randers FC 1 1.09 -0.09 -0.09
Sun 02/08 FC København 1 1.52 -0.52 -0.61
Mon 10/08 Odense Boldklub 1 1.92 -0.92 -1.53
Sun 16/08 FC Nordsjælland 0 0.22 -0.22 -1.75
Mon 24/08 Brøndby IF 1 0.99 +0.01 -1.74
Sun 30/08 FC Midtjylland 1 1.11 -0.11 -1.85
Sat 05/09 AGF 2 1.23 +0.77 -1.08
Sun 13/09 Viborg FF 1 0.91 +0.09 -0.99
Fri 18/09 Lyngby 4 0.95 +3.05 +2.06

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

Silkeborg IF xG trend

Current form -0.93 npxGD per match

The last 6 matches with xG.

Out-created the opponent in 5 of 9 matches. The worst was against FC Nordsjælland on Sun 16/08 (-2.31).

npxG · last 6
0.76
npxGA · last 6
1.69
-3 -2 -1 0 +1 +0.55 Mon 27/07 +0.13 Sun 02/08 +0.62 Mon 10/08 -2.31 Sun 16/08 -1.28 Mon 24/08 -1.39 Sun 30/08 -1.71 Sat 05/09 +0.43 Sun 13/09 +0.65 Fri 18/09 -0.48 season avg
Silkeborg IF: 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
Mon 27/07 Randers FC 1.09 0.54 +0.55 +0.55
Sun 02/08 FC København 1.24 1.11 +0.13 +0.34
Mon 10/08 Odense Boldklub 1.71 1.09 +0.62 +0.43
Sun 16/08 FC Nordsjælland 0.13 2.44 -2.31 -0.25
Mon 24/08 Brøndby IF 0.87 2.15 -1.28 -0.46
Sun 30/08 FC Midtjylland 1.11 2.50 -1.39 -0.61
Sat 05/09 AGF 0.38 2.09 -1.71 -0.77
Sun 13/09 Viborg FF 1.09 0.66 +0.43 -0.62
Fri 18/09 Lyngby 0.95 0.30 +0.65 -0.48

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 — 0.95 npxG and 1.43 npxGA per match. Current form is the same difference over the last 6 matches with xG.

Form ranking →

Strength of schedule

Season so far
number 1 hardest of 12 in Superliga (Denmark)
+0.11 xG vs league average
Over 9 league matches
Last 5
number 2 hardest of 12 in Superliga (Denmark)
+0.11 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

+0.11 xG vs league average · over 9 matches · number 1 hardest of 12

  1. Lyngby Away 0.00
  2. Viborg FF Home +0.16
  3. AGF Away +0.25
  4. FC Midtjylland Home +0.09
  5. Brøndby IF Away +0.05
  6. FC Nordsjælland Away +0.41
  7. Odense Boldklub Home −0.04
  8. FC København Home +0.38
  9. Randers FC Away −0.27

Last 5

+0.11 xG vs league average · over 5 matches · number 2 hardest of 12

  1. Lyngby Away 0.00
  2. Viborg FF Home +0.16
  3. AGF Away +0.25
  4. FC Midtjylland Home +0.09
  5. Brøndby IF Away +0.05

League schedule strength → How this is calculated →

Silkeborg IF shots and chance quality

Low volume, low quality. Silkeborg IF take 11.4 shots a match (league 13.9) at 0.08 npxG a shot (league 0.10), #10 in Superliga (Denmark) for volume and #9 for quality. 58% of their shots come from inside the box (league 64%), and set pieces produce 23% of their npxG (league 25%).

Attack

Shot volume
11.4 shots per match
#10/12
Shot volume (shots per match) across Superliga (Denmark), best first
Rank Club shots per match
#1 FC Nordsjælland 17.6
#2 AGF 16.8
#3 Odense Boldklub 15.3
#4 Brøndby IF 15.2
#5 FC København 15.0
#6 Lyngby 14.8
#7 FC Midtjylland 14.2
#8 Viborg FF 13.6
#9 Sønderjyske Fodbold 11.6
#10 Silkeborg IF 11.4
#11 AC Horsens 11.2
#12 Randers FC 9.9
League avg
13.9
Total
103 shots from 9 matches
Chance quality
0.08 npxG per shot
#9/12
Chance quality (npxG per shot) across Superliga (Denmark), best first
Rank Club npxG per shot
#1 FC Nordsjælland 0.13
#2 Viborg FF 0.12
#3 Randers FC 0.10
#4 FC København 0.10
#5 Lyngby 0.10
#6 FC Midtjylland 0.10
#7 Odense Boldklub 0.09
#8 AC Horsens 0.08
#9 Silkeborg IF 0.08
#10 AGF 0.08
#11 Sønderjyske Fodbold 0.08
#12 Brøndby IF 0.08
League avg
0.10
Total
8.57 npxG from 103 shots

Defence

Shots allowed
12.4 shots per match
#2/12
Shots allowed (shots per match) across Superliga (Denmark), best first
Rank Club shots per match
#1 FC København 11.9
#2 Silkeborg IF 12.4
#3 Brøndby IF 12.6
=4 FC Midtjylland 12.9
=4 Lyngby 12.9
#6 FC Nordsjælland 13.3
#7 Odense Boldklub 13.6
=8 AGF 13.7
=8 Viborg FF 13.7
#10 AC Horsens 15.0
#11 Randers FC 16.4
#12 Sønderjyske Fodbold 18.2
League avg
13.9
Total
112 shots allowed from 9 matches
Chance quality allowed
0.12 npxGA per shot
#12/12
Chance quality allowed (npxGA per shot) across Superliga (Denmark), best first
Rank Club npxGA per shot
#1 Viborg FF 0.08
#2 FC Midtjylland 0.08
#3 AGF 0.09
#4 FC Nordsjælland 0.09
#5 FC København 0.09
#6 Randers FC 0.09
#7 Lyngby 0.10
#8 Sønderjyske Fodbold 0.10
#9 AC Horsens 0.10
#10 Brøndby IF 0.11
#11 Odense Boldklub 0.11
#12 Silkeborg IF 0.12
League avg
0.10
Total
12.88 npxGA from 112 shots

Shot profile

Shot location

58% inside the box

League avg 64%

From 60 of 103 shots over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

Shots allowed, location

69% allowed inside the box

League avg 64%

From 77 of 112 shots allowed over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

Where the npxG comes from

77% open play · 23% set pieces

League avg 25% set pieces

From 2.0 of 8.6 npxG over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

Where the npxG allowed comes from

78% open play · 22% set pieces

League avg 25% set pieces

From 2.9 of 12.9 npxG allowed over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

How the shot figures are made →

Silkeborg IF home and away xG

Silkeborg IF per-match figures at home and away
Measure Home Away
Matches 4 5
xG / match 1.37 0.90
xGA / match 1.39 1.53
xGD / match -0.02 -0.64
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 1.40 1.07

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

Every Silkeborg IF match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

This season

Matches
9
xG / match
1.10
xGA / match
1.47
xGD / match
-0.36
Points
10 of 27
  1. Fri 18/09 Lyngby A xG 0.95 xGA 0.30 xGD +0.65
  2. Sun 13/09 Viborg FF H xG 0.91 xGA 0.71 xGD +0.20
  3. Sat 05/09 AGF A xG 1.23 P xGA 1.92 xGD -0.69
  4. Sun 30/08 FC Midtjylland H xG 1.11 xGA 2.50 xGD -1.39
  5. Mon 24/08 Brøndby IF A xG 0.99 xGA 2.14 xGD -1.15
  6. Sun 16/08 FC Nordsjælland A Weakest underlying xG 0.22 xGA 2.70 xGD -2.48
  7. Mon 10/08 Odense Boldklub H Best underlying xG 1.92 xGA 1.14 xGD +0.78
  8. Sun 02/08 FC København H xG 1.52 xGA 1.20 xGD +0.32
  9. Mon 27/07 Randers FC A xG 1.09 xGA 0.60 xGD +0.49

Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.00. 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 →

Silkeborg IF in Superliga (Denmark)

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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