xgEdge

Expected goals

SC Freiburg expected goals (xG) 2026/2027

Bundesliga · after 4 matches · updated 4 Oct

SC Freiburg's attacking and defensive expected goals in Bundesliga 2026/2027, compared with the results they produced and with the rest of the competition.

SC Freiburg xG and xGA per match

Every match ↓
Attack
2.22 xG per match
#4/18
Attack (xG per match) across Bundesliga, best first
Rank Club xG per match
#1 FC Bayern München 3.14
#2 Bayer 04 Leverkusen 2.48
#3 1. FSV Mainz 05 2.24
#4 SC Freiburg 2.22
#5 RB Leipzig 2.22
#6 Eintracht Frankfurt 1.98
#7 1. FC Köln 1.97
#8 VfB Stuttgart 1.89
#9 TSG Hoffenheim 1.83
=10 Borussia M'gladbach 1.72
=10 FC Augsburg 1.72
#12 Borussia Dortmund 1.66
#13 SV 07 Elversberg 1.38
#14 SV Werder Bremen 1.33
#15 FC Schalke 04 1.32
#16 1. FC Union Berlin 1.13
#17 Hamburger SV 0.91
#18 SC Paderborn 07 0.67
League avg
1.77
Total
8.87 4 matches
Defence
0.91 xGA per match
#2/18
Defence (xGA per match) across Bundesliga, best first
Rank Club xGA per match
#1 FC Bayern München 0.57
#2 SC Freiburg 0.91
#3 Borussia Dortmund 0.93
#4 Bayer 04 Leverkusen 0.94
#5 RB Leipzig 1.35
#6 SC Paderborn 07 1.43
#7 1. FSV Mainz 05 1.55
#8 SV Werder Bremen 1.55
#9 TSG Hoffenheim 1.70
#10 1. FC Köln 1.98
#11 SV 07 Elversberg 2.02
#12 Hamburger SV 2.04
#13 Eintracht Frankfurt 2.05
#14 FC Schalke 04 2.11
#15 FC Augsburg 2.30
#16 1. FC Union Berlin 2.70
#17 VfB Stuttgart 2.75
#18 Borussia M'gladbach 2.92
League avg
1.77
Total
3.62 4 matches
xG difference
+1.31 xGD per match
#3/18
xG difference (xGD per match) across Bundesliga, best first
Rank Club xGD per match
#1 FC Bayern München +2.57
#2 Bayer 04 Leverkusen +1.54
#3 SC Freiburg +1.31
#4 RB Leipzig +0.86
#5 Borussia Dortmund +0.73
#6 1. FSV Mainz 05 +0.69
#7 TSG Hoffenheim +0.13
#8 1. FC Köln -0.01
#9 Eintracht Frankfurt -0.07
#10 SV Werder Bremen -0.22
#11 FC Augsburg -0.58
#12 SV 07 Elversberg -0.64
#13 SC Paderborn 07 -0.77
#14 FC Schalke 04 -0.79
#15 VfB Stuttgart -0.86
#16 Hamburger SV -1.12
#17 Borussia M'gladbach -1.20
#18 1. FC Union Berlin -1.57
League avg
0.00
Total
+5.25 4 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
2.26 xPts per match
#3/18
Expected points (xPts per match) across Bundesliga, best first
Rank Club xPts per match
#1 FC Bayern München 2.76
#2 Bayer 04 Leverkusen 2.34
#3 SC Freiburg 2.26
#4 Borussia Dortmund 1.95
#5 RB Leipzig 1.85
#6 1. FSV Mainz 05 1.82
#7 TSG Hoffenheim 1.48
#8 1. FC Köln 1.40
#9 Eintracht Frankfurt 1.36
#10 SV Werder Bremen 1.16
#11 VfB Stuttgart 1.01
#12 FC Augsburg 0.99
#13 SV 07 Elversberg 0.98
#14 FC Schalke 04 0.92
#15 Borussia M'gladbach 0.83
#16 SC Paderborn 07 0.72
#17 Hamburger SV 0.71
#18 1. FC Union Berlin 0.70
League avg
1.40
Total
9.04 vs 10 actual pts

Early-season figures: after 4 matches, per-match rates can move quickly.

What the xG says

SC Freiburg's underlying numbers are among the best in Bundesliga. They rank #3 for xG difference at +1.31 per match, driven by elite shot volume at about average chance quality. After only 4 matches, treat every figure here as provisional.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG Includes 0.54 xG from penalties
12 8.87 +3.13 Too early to read
Goals conceded vs xGA
3 3.62 -0.62 Too early to read
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
10 9.04 +0.96 Too early to read

Select a row to chart it across the season.

Goals minus xG, match by match

SC Freiburg are 3.13 goals above their xG after 4 matches. The gap was widest at +4.22, against Borussia M'gladbach on Sat 12/09.

Goals
12
xG
8.87
Gap
+3.13
Sun 30/08 Sat 05/09 Sat 12/09 Sat 19/09 -1 0 +1 +2 +3 +4 +5 +2.06 +1.82 +4.22 +3.13 +2.06 -0.24 +2.40 -1.09 Running gap goals − xG Each match goals − xG
SC Freiburg: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sun 30/08 SV Werder Bremen 4 1.94 +2.06 +2.06
Sat 05/09 SC Paderborn 07 1 1.24 -0.24 +1.82
Sat 12/09 Borussia M'gladbach 5 2.60 +2.40 +4.22
Sat 19/09 Eintracht Frankfurt 2 3.09 -1.09 +3.13

Goals vs xG ranking → Expected points ranking →

SC Freiburg xG trend

Current form +1.38 npxGD per match

All 4 matches with xG so far — the window fills at 6.

Out-created the opponent in 4 of 4 matches.

npxG · last 4
2.08
npxGA · last 4
0.71
-1 0 +1 +2 +3 +1.46 Sun 30/08 +0.57 Sat 05/09 +2.15 Sat 12/09 +1.32 Sat 19/09 +1.38 season avg
SC Freiburg: 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 30/08 SV Werder Bremen 1.94 0.48 +1.46 +1.46
Sat 05/09 SC Paderborn 07 1.29 0.72 +0.57 +1.02
Sat 12/09 Borussia M'gladbach 2.36 0.21 +2.15 +1.39
Sat 19/09 Eintracht Frankfurt 2.74 1.42 +1.32 +1.38

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 — 2.08 npxG and 0.71 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 17 hardest of 18 in Bundesliga
−0.26 xG vs league average
Over 4 league matches
Opponents behind the figures

Season so far

−0.26 xG vs league average · over 4 matches · number 17 hardest of 18

  1. Eintracht Frankfurt Away −0.29
  2. Borussia M'gladbach Home −0.39
  3. SC Paderborn 07 Away −0.28
  4. SV Werder Bremen Home −0.09

League schedule strength → How this is calculated →

SC Freiburg shots and chance quality

High volume, average quality. SC Freiburg take 19.0 shots a match (league 15.5) at 0.11 npxG a shot (league 0.11), =3 in Bundesliga for volume and #10 for quality. 61% of their shots come from inside the box (league 68%), and set pieces produce 34% of their npxG (league 26%).

Attack

Shot volume
19.0 shots per match
=3/18
Shot volume (shots per match) across Bundesliga, best first
Rank Club shots per match
#1 Bayer 04 Leverkusen 22.5
#2 FC Bayern München 21.8
=3 SC Freiburg 19.0
=3 TSG Hoffenheim 19.0
#5 RB Leipzig 18.8
#6 1. FSV Mainz 05 18.3
#7 1. FC Köln 17.3
#8 Borussia M'gladbach 16.5
#9 VfB Stuttgart 15.3
#10 Borussia Dortmund 14.5
#11 FC Augsburg 14.0
=12 Eintracht Frankfurt 13.8
=12 SV Werder Bremen 13.8
=14 1. FC Union Berlin 11.8
=14 FC Schalke 04 11.8
=14 SC Paderborn 07 11.8
#17 SV 07 Elversberg 10.3
#18 Hamburger SV 9.5
League avg
15.5
Total
76 shots from 4 matches
Chance quality
0.11 npxG per shot
#10/18
Chance quality (npxG per shot) across Bundesliga, best first
Rank Club npxG per shot
#1 SV 07 Elversberg 0.14
#2 FC Bayern München 0.13
#3 RB Leipzig 0.13
#4 FC Augsburg 0.12
#5 Eintracht Frankfurt 0.12
#6 1. FSV Mainz 05 0.12
#7 Borussia Dortmund 0.12
#8 FC Schalke 04 0.11
#9 VfB Stuttgart 0.11
#10 SC Freiburg 0.11
#11 Bayer 04 Leverkusen 0.11
#12 1. FC Köln 0.11
#13 1. FC Union Berlin 0.10
#14 Hamburger SV 0.10
#15 TSG Hoffenheim 0.08
#16 SV Werder Bremen 0.08
#17 Borussia M'gladbach 0.08
#18 SC Paderborn 07 0.06
League avg
0.11
Total
8.33 npxG from 76 shots

Defence

Shots allowed
9.5 shots per match
#3/18
Shots allowed (shots per match) across Bundesliga, best first
Rank Club shots per match
#1 FC Bayern München 5.8
#2 Bayer 04 Leverkusen 9.0
#3 SC Freiburg 9.5
#4 Borussia Dortmund 12.0
#5 1. FSV Mainz 05 12.5
#6 RB Leipzig 13.8
#7 TSG Hoffenheim 14.5
#8 SV Werder Bremen 15.0
#9 1. FC Köln 15.8
#10 FC Schalke 04 17.5
#11 VfB Stuttgart 18.0
=12 Hamburger SV 18.5
=12 SC Paderborn 07 18.5
=14 1. FC Union Berlin 18.8
=14 Borussia M'gladbach 18.8
#16 Eintracht Frankfurt 19.0
#17 FC Augsburg 20.8
#18 SV 07 Elversberg 21.8
League avg
15.5
Total
38 shots allowed from 4 matches
Chance quality allowed
0.07 npxGA per shot
#2/18
Chance quality allowed (npxGA per shot) across Bundesliga, best first
Rank Club npxGA per shot
#1 Borussia Dortmund 0.07
#2 SC Freiburg 0.07
#3 SC Paderborn 07 0.08
#4 SV 07 Elversberg 0.09
#5 SV Werder Bremen 0.09
#6 RB Leipzig 0.09
#7 FC Augsburg 0.10
#8 Bayer 04 Leverkusen 0.10
#9 1. FSV Mainz 05 0.10
#10 Eintracht Frankfurt 0.10
#11 FC Bayern München 0.10
#12 1. FC Köln 0.11
#13 TSG Hoffenheim 0.12
#14 Hamburger SV 0.12
#15 FC Schalke 04 0.12
#16 1. FC Union Berlin 0.13
#17 VfB Stuttgart 0.15
#18 Borussia M'gladbach 0.16
League avg
0.11
Total
2.83 npxGA from 38 shots

Shot profile

Shot location

61% inside the box

League avg 68%

From 46 of 76 shots over 4 matches

Early-season figure: after 4 matches, the share can move quickly.

Shots allowed, location

66% allowed inside the box

League avg 68%

From 25 of 38 shots allowed over 4 matches

Early-season figure: after 4 matches, the share can move quickly.

Where the npxG comes from

66% open play · 34% set pieces

League avg 26% set pieces

From 2.8 of 8.3 npxG over 4 matches

Early-season figure: after 4 matches, the share can move quickly.

Where the npxG allowed comes from

72% open play · 28% set pieces

League avg 26% set pieces

From 0.8 of 2.9 npxG allowed over 4 matches

Early-season figure: after 4 matches, the share can move quickly.

How the shot figures are made →

SC Freiburg home and away xG

SC Freiburg per-match figures at home and away
Measure Home only 2 matches with xG Away only 2 matches with xG
Matches 2 2
xG / match 2.27 2.17
xGA / match 0.34 1.48
xGD / match +1.94 +0.69
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 2.67 1.85

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

Every SC Freiburg match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

At home this season

Matches
2
xG / match
2.27
xGA / match
0.33
xGD / match
+1.94
Points
6 of 6
  1. Sat 12/09 Borussia M'gladbach H xG 2.60 xGA 0.19 xGD +2.41
  2. Sun 30/08 SV Werder Bremen H xG 1.94 xGA 0.48 xGD +1.46

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 →

SC Freiburg in Bundesliga

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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