xgEdge

Expected goals

1. FC Union Berlin expected goals (xG) 2026/2027

Bundesliga · after 4 matches · updated 4 Oct

1. FC Union Berlin's attacking and defensive expected goals in Bundesliga 2026/2027, compared with the results they produced and with the rest of the competition.

1. FC Union Berlin xG and xGA per match

Every match ↓
Attack
1.13 xG per match
#16/18
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
4.52 4 matches
Defence
2.70 xGA per match
#16/18
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
10.81 4 matches
xG difference
-1.57 xGD per match
#18/18
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
-6.29 4 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
0.70 xPts per match
#18/18
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
2.78 vs 1 actual pts

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

What the xG says

1. FC Union Berlin's underlying numbers are among the weakest in Bundesliga. They rank #18 for xG difference at -1.57 per match, from low 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
4 4.52 -0.52 Too early to read
17 10.81 +6.19 Too early to read

Select a row to chart it across the season.

Goals minus xG, match by match

1. FC Union Berlin are 0.52 goals below their xG after 4 matches.

Goals
4
xG
4.52
Gap
-0.52
Sat 29/08 Sat 05/09 Fri 11/09 Fri 18/09 -1 0 +1 +2 +1.16 +0.77 -0.18 -0.52 +1.16 -0.39 -0.95 -0.34 Running gap goals − xG Each match goals − xG
1. FC Union Berlin: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sat 29/08 Eintracht Frankfurt 3 1.84 +1.16 +1.16
Sat 05/09 Bayer 04 Leverkusen 0 0.39 -0.39 +0.77
Fri 11/09 FC Schalke 04 1 1.95 -0.95 -0.18
Fri 18/09 FC Bayern München 0 0.34 -0.34 -0.52

Goals vs xG ranking → Expected points ranking →

1. FC Union Berlin xG trend

Current form -1.25 npxGD per match

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

Out-created the opponent in 1 of 4 matches. The worst was against FC Bayern München on Fri 18/09 (-2.64).

npxG · last 4
1.19
npxGA · last 4
2.44
-3 -2 -1 0 +1 +0.59 Sat 29/08 -2.54 Sat 05/09 -0.42 Fri 11/09 -2.64 Fri 18/09 -1.25 season avg
1. FC Union Berlin: 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 29/08 Eintracht Frankfurt 1.96 1.37 +0.59 +0.59
Sat 05/09 Bayer 04 Leverkusen 0.41 2.95 -2.54 -0.98
Fri 11/09 FC Schalke 04 2.03 2.45 -0.42 -0.79
Fri 18/09 FC Bayern München 0.34 2.98 -2.64 -1.25

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 — 1.19 npxG and 2.44 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 4 hardest of 18 in Bundesliga
+0.20 xG vs league average
Over 4 league matches
Opponents behind the figures

Season so far

+0.20 xG vs league average · over 4 matches · number 4 hardest of 18

  1. FC Bayern München Away +0.89
  2. FC Schalke 04 Home −0.40
  3. Bayer 04 Leverkusen Away +0.59
  4. Eintracht Frankfurt Home −0.29

League schedule strength → How this is calculated →

1. FC Union Berlin shots and chance quality

Low volume, average quality. 1. FC Union Berlin take 11.8 shots a match (league 15.5) at 0.10 npxG a shot (league 0.11), =14 in Bundesliga for volume and #13 for quality. 77% of their shots come from inside the box (league 68%), and set pieces produce 50% of their npxG (league 26%).

Attack

Shot volume
11.8 shots per match
=14/18
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
47 shots from 4 matches
Chance quality
0.10 npxG per shot
#13/18
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
4.74 npxG from 47 shots

Defence

Shots allowed
18.8 shots per match
=14/18
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
75 shots allowed from 4 matches
Chance quality allowed
0.13 npxGA per shot
#16/18
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
9.75 npxGA from 75 shots

Shot profile

Shot location

77% inside the box

League avg 68%

From 36 of 47 shots over 4 matches

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

Shots allowed, location

64% allowed inside the box

League avg 68%

From 48 of 75 shots allowed over 4 matches

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

Where the npxG comes from

50% open play · 50% set pieces

League avg 26% set pieces

From 2.4 of 4.7 npxG over 4 matches

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

Where the npxG allowed comes from

80% open play · 20% set pieces

League avg 26% set pieces

From 2.0 of 9.9 npxG allowed over 4 matches

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

1. FC Union Berlin home and away xG

1. FC Union Berlin 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 1.90 0.37
xGA / match 2.00 3.41
xGD / match -0.10 -3.05
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 1.33 0.06

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

Every 1. FC Union Berlin match by xG

Window
Season Last 10 Last 5
Venue

Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.71. 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 →

1. FC Union Berlin in Bundesliga

Attack

Defence

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 →