xgEdge

Expected goals

Juventus expected goals (xG) 2026/2027

Serie A · after 5 matches · updated 1 Oct

Juventus's attacking and defensive expected goals in Serie A 2026/2027, compared with the results they produced and with the rest of the competition.

Juventus xG and xGA per match

Every match ↓
Attack
1.55 xG per match
#8/20
Attack (xG per match) across Serie A, best first
Rank Club xG per match
#1 Inter 2.90
#2 Roma 2.56
#3 Como 1.89
#4 Monza 1.79
#5 Sassuolo 1.73
#6 Fiorentina 1.72
#7 Milan 1.58
#8 Juventus 1.55
#9 Lazio 1.55
#10 Frosinone 1.51
#11 Venezia 1.49
#12 Napoli 1.44
#13 Udinese 1.40
#14 Bologna 1.18
#15 Cagliari 1.09
#16 Lecce 1.06
#17 Torino 1.03
#18 Genoa 0.89
#19 Atalanta 0.81
#20 Parma 0.68
League avg
1.49
Total
7.76 5 matches
Defence
0.48 xGA per match
#1/20
Defence (xGA per match) across Serie A, best first
Rank Club xGA per match
#1 Juventus 0.48
#2 Bologna 0.95
#3 Monza 1.06
#4 Roma 1.11
#5 Milan 1.18
#6 Lazio 1.24
=7 Genoa 1.33
=7 Sassuolo 1.33
#9 Fiorentina 1.33
#10 Inter 1.34
#11 Napoli 1.40
#12 Como 1.53
#13 Parma 1.58
#14 Torino 1.69
#15 Cagliari 1.76
#16 Udinese 1.84
#17 Atalanta 1.87
#18 Frosinone 2.10
#19 Venezia 2.35
#20 Lecce 2.38
League avg
1.49
Total
2.39 5 matches
xG difference
+1.07 xGD per match
#3/20
xG difference (xGD per match) across Serie A, best first
Rank Club xGD per match
#1 Inter +1.55
#2 Roma +1.45
#3 Juventus +1.07
#4 Monza +0.73
#5 Sassuolo +0.41
#6 Milan +0.40
#7 Fiorentina +0.39
#8 Como +0.36
#9 Lazio +0.30
#10 Bologna +0.24
#11 Napoli +0.03
=12 Genoa -0.44
=12 Udinese -0.44
#14 Frosinone -0.59
#15 Torino -0.66
#16 Cagliari -0.66
#17 Venezia -0.87
#18 Parma -0.90
#19 Atalanta -1.06
#20 Lecce -1.32
League avg
0.00
Total
+5.37 5 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
2.23 xPts per match
#2/20
Expected points (xPts per match) across Serie A, best first
Rank Club xPts per match
#1 Roma 2.23
#2 Juventus 2.23
#3 Inter 2.21
#4 Monza 1.89
#5 Fiorentina 1.69
#6 Milan 1.63
#7 Sassuolo 1.63
#8 Lazio 1.62
#9 Como 1.60
#10 Bologna 1.55
#11 Napoli 1.50
#12 Udinese 1.13
#13 Cagliari 1.11
#14 Genoa 1.00
#15 Frosinone 0.98
#16 Venezia 0.93
#17 Torino 0.88
#18 Parma 0.70
#19 Atalanta 0.67
#20 Lecce 0.60
League avg
1.39
Total
11.14 vs 10 actual pts

Early-season figures: after 5 matches, per-match rates can move quickly.

What the xG says

Juventus's underlying numbers are among the best in Serie A. They rank #3 for xG difference at +1.07 per match, built on high shot volume rather than low chance quality. Their 8 goals are 0.24 above 7.76 xG, while 10 points are 1.14 below 11.14 xPts. After only 5 matches, those gaps should still be read cautiously.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG
8 7.76 +0.24 scored 0.24 more than xG within normal variance
Goals conceded vs xGA
4 2.39 +1.61 conceded 1.61 more than xGA outside normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
10 11.14 -1.14 1.14 points below xPts within normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

Juventus are 0.24 goals above their xG after 5 matches.

Goals
8
xG
7.76
Gap
+0.24
Sun 23/08 Sat 29/08 Sun 06/09 Sun 13/09 Sun 20/09 -2 -1 0 +1 -1.18 -0.76 -1.35 -0.45 +0.24 -1.18 +0.42 -0.59 +0.90 +0.69 Running gap goals − xG Each match goals − xG
Juventus: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sun 23/08 Frosinone 1 2.18 -1.18 -1.18
Sat 29/08 Parma 2 1.58 +0.42 -0.76
Sun 06/09 Milan 1 1.59 -0.59 -1.35
Sun 13/09 Sassuolo 2 1.10 +0.90 -0.45
Sun 20/09 Atalanta 2 1.31 +0.69 +0.24

Goals vs xG ranking → Expected points ranking →

Juventus xG trend

Current form +1.07 npxGD per match

All 5 matches with xG so far — the window fills at 6.

Out-created the opponent in 5 of 5 matches.

npxG · last 5
1.52
npxGA · last 5
0.45
-1 0 +1 +2 +1.55 Sun 23/08 +1.47 Sat 29/08 +1.52 Sun 06/09 +0.11 Sun 13/09 +0.70 Sun 20/09 +1.07 season avg
Juventus: 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 23/08 Frosinone 2.00 0.45 +1.55 +1.55
Sat 29/08 Parma 1.69 0.22 +1.47 +1.51
Sun 06/09 Milan 1.61 0.09 +1.52 +1.51
Sun 13/09 Sassuolo 1.01 0.90 +0.11 +1.16
Sun 20/09 Atalanta 1.31 0.61 +0.70 +1.07

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 — 1.52 npxG and 0.45 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 17 hardest of 20 in Serie A
−0.15 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

−0.15 xG vs league average · over 5 matches · tied number 17 hardest of 20

  1. Atalanta Home −0.06
  2. Sassuolo Away +0.01
  3. Milan Home +0.02
  4. Parma Home −0.53
  5. Frosinone Away −0.18

League schedule strength → How this is calculated →

Juventus shots and chance quality

High volume, low quality. Juventus take 17.6 shots a match (league 14.6) at 0.09 npxG a shot (league 0.10), #4 in Serie A for volume and #13 for quality. 57% of their shots come from inside the box (league 66%), and set pieces produce 34% of their npxG (league 24%).

Attack

Shot volume
17.6 shots per match
#4/20
Shot volume (shots per match) across Serie A, best first
Rank Club shots per match
#1 Como 23.4
#2 Inter 23.2
#3 Roma 20.6
#4 Juventus 17.6
#5 Sassuolo 17.2
=6 Fiorentina 16.8
=6 Frosinone 16.8
#8 Monza 14.4
#9 Udinese 14.2
#10 Venezia 14.0
#11 Napoli 13.8
#12 Bologna 13.4
=13 Lazio 12.8
=13 Milan 12.8
=15 Atalanta 11.8
=15 Genoa 11.8
#17 Cagliari 10.8
#18 Torino 9.4
#19 Lecce 8.4
#20 Parma 8.2
League avg
14.6
Total
88 shots from 5 matches
Chance quality
0.09 npxG per shot
#13/20
Chance quality (npxG per shot) across Serie A, best first
Rank Club npxG per shot
#1 Roma 0.13
#2 Inter 0.12
#3 Monza 0.11
#4 Napoli 0.11
#5 Lecce 0.11
#6 Milan 0.11
#7 Lazio 0.11
#8 Venezia 0.10
#9 Fiorentina 0.10
#10 Torino 0.09
#11 Sassuolo 0.09
#12 Bologna 0.09
#13 Juventus 0.09
#14 Udinese 0.09
#15 Frosinone 0.09
#16 Como 0.08
#17 Parma 0.08
#18 Cagliari 0.08
#19 Genoa 0.06
#20 Atalanta 0.06
League avg
0.10
Total
7.62 npxG from 88 shots

Defence

Shots allowed
7.8 shots per match
#1/20
Shots allowed (shots per match) across Serie A, best first
Rank Club shots per match
#1 Juventus 7.8
#2 Milan 9.0
#3 Roma 9.2
#4 Inter 11.4
=5 Bologna 11.8
=5 Fiorentina 11.8
=5 Monza 11.8
#8 Lazio 13.0
#9 Venezia 14.4
#10 Como 15.0
#11 Torino 15.4
=12 Genoa 15.8
=12 Sassuolo 15.8
=14 Lecce 16.6
=14 Napoli 16.6
#16 Udinese 17.2
#17 Parma 18.4
#18 Atalanta 19.2
#19 Cagliari 20.4
#20 Frosinone 20.8
League avg
14.6
Total
39 shots allowed from 5 matches
Chance quality allowed
0.06 npxGA per shot
#1/20
Chance quality allowed (npxGA per shot) across Serie A, best first
Rank Club npxGA per shot
#1 Juventus 0.06
#2 Sassuolo 0.07
#3 Napoli 0.07
#4 Genoa 0.08
#5 Cagliari 0.08
#6 Bologna 0.08
#7 Lazio 0.08
#8 Frosinone 0.09
#9 Torino 0.09
#10 Como 0.09
#11 Monza 0.09
#12 Parma 0.09
#13 Atalanta 0.09
#14 Udinese 0.11
#15 Roma 0.11
#16 Inter 0.11
#17 Fiorentina 0.11
#18 Milan 0.13
#19 Lecce 0.14
#20 Venezia 0.15
League avg
0.10
Total
2.27 npxGA from 39 shots

Shot profile

Shot location

57% inside the box

League avg 66%

From 50 of 88 shots over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

Shots allowed, location

62% allowed inside the box

League avg 66%

From 24 of 39 shots allowed over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

Where the npxG comes from

66% open play · 34% set pieces

League avg 24% set pieces

From 2.6 of 7.7 npxG over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

Where the npxG allowed comes from

84% open play · 16% set pieces

League avg 24% set pieces

From 0.4 of 2.3 npxG allowed over 5 matches

Early-season figure: after 5 matches, the share can move quickly.

How the shot figures are made →

Juventus home and away xG

Juventus per-match figures at home and away
Measure Home Away only 2 matches with xG
Matches 3 2
xG / match 1.49 1.64
xGA / match 0.32 0.72
xGD / match +1.17 +0.92
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 2.37 2.02

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

Every Juventus match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

This season

Matches
5
xG / match
1.55
xGA / match
0.48
xGD / match
+1.07
Points
10 of 15
  1. Sun 20/09 Atalanta H xG 1.31 xGA 0.60 xGD +0.71
  2. Sun 13/09 Sassuolo A Weakest underlying xG 1.10 xGA 1.02 xGD +0.08
  3. Sun 06/09 Milan H xG 1.59 xGA 0.11 xGD +1.48
  4. Sat 29/08 Parma H xG 1.58 xGA 0.25 xGD +1.33
  5. Sun 23/08 Frosinone A Best underlying xG 2.18 xGA 0.41 xGD +1.77

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 →

Juventus in Serie A

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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