xgEdge

Expected goals

Brøndby IF expected goals (xG) 2026/2027

Superliga (Denmark) · after 9 matches · updated 4 Oct

Brøndby 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.

Brøndby IF xG and xGA per match

Every match ↓
Attack
1.22 xG per match
#8/12
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
11.01 9 matches
Defence
1.54 xGA per match
#7/12
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
13.86 9 matches
xG difference
-0.32 xGD per match
#8/12
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
-2.85 9 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
1.18 xPts per match
#9/12
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
10.61 vs 13 actual pts

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

What the xG says

Brøndby IF's underlying numbers sit close to the Superliga (Denmark) average. They rank #8 for xG difference at -0.32 per match, from about average shot volume at the league's lowest chance quality. Their 12 goals are 0.99 above 11.01 xG, while 13 points are 2.39 above 10.61 xPts. After only 9 matches, those gaps should still be read cautiously.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG
12 11.01 +0.99 scored 0.99 more than xG within normal variance
Goals conceded vs xGA
15 13.86 +1.14 conceded 1.14 more than xGA within normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
13 10.61 +2.39 2.39 points above xPts within normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

Brøndby IF are 0.99 goals above their xG after 9 matches. The gap was widest at +3.45, against Silkeborg IF on Mon 24/08.

Goals
12
xG
11.01
Gap
+0.99
Sat 25/07 Sun 02/08 Sun 09/08 Mon 17/08 Mon 24/08 Sun 30/08 Sun 06/09 Mon 14/09 Sun 20/09 -1 0 +1 +2 +3 +4 +0.19 -0.15 +1.22 +2.59 +3.45 +2.69 +1.50 +1.70 +0.99 +0.19 -0.34 +1.37 +1.37 +0.86 -0.76 -1.19 +0.20 -0.71 Running gap goals − xG Each match goals − xG
Brøndby IF: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sat 25/07 AGF 1 0.81 +0.19 +0.19
Sun 02/08 Viborg FF 1 1.34 -0.34 -0.15
Sun 09/08 AC Horsens 2 0.63 +1.37 +1.22
Mon 17/08 Sønderjyske Fodbold 3 1.63 +1.37 +2.59
Mon 24/08 Silkeborg IF 3 2.14 +0.86 +3.45
Sun 30/08 FC Nordsjælland 1 1.76 -0.76 +2.69
Sun 06/09 Randers FC 0 1.19 -1.19 +1.50
Mon 14/09 FC Midtjylland 1 0.80 +0.20 +1.70
Sun 20/09 FC København 0 0.71 -0.71 +0.99

Goals vs xG ranking → Expected points ranking →

Brøndby IF xG trend

Current form -0.22 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 30/08 (-1.76).

npxG · last 6
1.29
npxGA · last 6
1.51
-2 -1 0 +1 +2 +0.09 Sat 25/07 -1.10 Sun 02/08 +0.33 Sun 09/08 +0.55 Mon 17/08 +1.28 Mon 24/08 -1.76 Sun 30/08 +0.75 Sun 06/09 -0.58 Mon 14/09 -1.57 Sun 20/09 -0.22 season avg
Brøndby 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
Sat 25/07 AGF 0.92 0.83 +0.09 +0.09
Sun 02/08 Viborg FF 1.14 2.24 -1.10 -0.51
Sun 09/08 AC Horsens 0.78 0.45 +0.33 -0.23
Mon 17/08 Sønderjyske Fodbold 1.38 0.83 +0.55 -0.03
Mon 24/08 Silkeborg IF 2.15 0.87 +1.28 +0.23
Sun 30/08 FC Nordsjælland 1.45 3.21 -1.76 -0.10
Sun 06/09 Randers FC 1.32 0.57 +0.75 +0.02
Mon 14/09 FC Midtjylland 0.85 1.43 -0.58 -0.06
Sun 20/09 FC København 0.57 2.14 -1.57 -0.22

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 — 1.17 npxG and 1.40 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 5 hardest of 12 in Superliga (Denmark)
0.00 xG vs league average
Over 9 league matches
Last 5
tied number 5 hardest of 12 in Superliga (Denmark)
+0.06 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

0.00 xG vs league average · over 9 matches · tied number 5 hardest of 12

  1. FC København Home +0.38
  2. FC Midtjylland Away +0.09
  3. Randers FC Home −0.27
  4. FC Nordsjælland Away +0.41
  5. Silkeborg IF Home −0.30
  6. Sønderjyske Fodbold Home −0.51
  7. AC Horsens Away −0.22
  8. Viborg FF Home +0.16
  9. AGF Away +0.25

Last 5

+0.06 xG vs league average · over 5 matches · tied number 5 hardest of 12

  1. FC København Home +0.38
  2. FC Midtjylland Away +0.09
  3. Randers FC Home −0.27
  4. FC Nordsjælland Away +0.41
  5. Silkeborg IF Home −0.30

League schedule strength → How this is calculated →

Brøndby IF shots and chance quality

Average volume, low quality. Brøndby IF take 15.2 shots a match (league 13.9) at 0.08 npxG a shot (league 0.10), #4 in Superliga (Denmark) for volume and #12 for quality. 60% of their shots come from inside the box (league 64%), and set pieces produce 28% of their npxG (league 25%).

Attack

Shot volume
15.2 shots per match
#4/12
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
137 shots from 9 matches
Chance quality
0.08 npxG per shot
#12/12
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
10.56 npxG from 137 shots

Defence

Shots allowed
12.6 shots per match
#3/12
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
113 shots allowed from 9 matches
Chance quality allowed
0.11 npxGA per shot
#10/12
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
12.57 npxGA from 113 shots

Shot profile

Shot location

60% inside the box

League avg 64%

From 82 of 137 shots over 9 matches

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

Shots allowed, location

71% allowed inside the box

League avg 64%

From 80 of 113 shots allowed over 9 matches

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

Where the npxG comes from

72% open play · 28% set pieces

League avg 25% set pieces

From 2.9 of 10.4 npxG over 9 matches

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

Where the npxG allowed comes from

76% open play · 24% set pieces

League avg 25% set pieces

From 3.0 of 12.5 npxG allowed over 9 matches

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

How the shot figures are made →

Brøndby IF home and away xG

Brøndby IF per-match figures at home and away
Measure Home Away
Matches 5 4
xG / match 1.40 1.00
xGA / match 1.40 1.72
xGD / match +0.01 -0.72
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 1.42 0.88

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

Every Brøndby IF match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

At home this season

Matches
5
xG / match
1.40
xGA / match
1.40
xGD / match
+0.01
Points
9 of 15
  1. Sun 20/09 FC København H Weakest underlying xG 0.71 xGA 2.27 xGD -1.56
  2. Sun 06/09 Randers FC H xG 1.19 xGA 0.85 xGD +0.34
  3. Mon 24/08 Silkeborg IF H Best underlying xG 2.14 xGA 0.99 xGD +1.15
  4. Mon 17/08 Sønderjyske Fodbold H xG 1.63 xGA 0.92 xGD +0.71
  5. Sun 02/08 Viborg FF H xG 1.34 xGA 1.95 xGD -0.61

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 →

Brøndby 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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