Expected goals
1. FC Union Berlin expected goals (xG) 2026/2027
Bundesliga · after 4 matches · updated 1 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 ↓| 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
| 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
| 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
| 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
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
- This match
- Match gap
- Running gap
| 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 |
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
- npxG
- npxGA
- npxGD
- Avg 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.
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
- FC Bayern München Away +0.89
- FC Schalke 04 Home −0.40
- Bayer 04 Leverkusen Away +0.59
- Eintracht Frankfurt Home −0.29
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
| 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
| 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
| 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
| 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
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.
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.
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.
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
| 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
This season
- Matches
- 4
- xG / match
- 1.13
- xGA / match
- 2.70
- xGD / match
- -1.57
- Points
- 1 of 12
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.
1. FC Union Berlin in Bundesliga
Attack
- xG / match #16 of 18
- Shots / match =14 of 18
- Chance quality #13 of 18
- Home xG #10 of 18
- Away xG #18 of 18
Defence
- xGA / match #16 of 18
- Shots allowed =14 of 18
- Chance quality allowed #16 of 18
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.