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Friday, 18/09/2026 at 20:30

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Match report · Bundesliga

FC Bayern München 7:0 1. FC Union Berlin

FC Bayern München Home 3.71 xG · 23 shots
1. FC Union Berlin Away 0.34 xG · 3 shots
70 The scoreline reflected the chances

FC Bayern München were the model's likeliest winner before kick-off at 72%. They won 7–0. The biggest difference was FC Bayern München's attack: 3.71 xG against 2.62 projected (+1.09). 1. FC Union Berlin produced 0.34 xG against 1.05 projected (−0.71).

Goals

  1. 18' Jamal Musiala FC Bayern München · 0.06 xG chance 1–0
  2. 39' Harry Kane (pen.) FC Bayern München · 0.82 xG chance 2–0
  3. 43' Michael Olise FC Bayern München · 0.03 xG chance 3–0
  4. 54' Harry Kane FC Bayern München · 0.16 xG chance 4–0
  5. 70' Ismael Saibari FC Bayern München · 0.35 xG chance 5–0
  6. 73' Michael Olise FC Bayern München · 0.97 xG chance 6–0
  7. 76' Michael Olise FC Bayern München · 0.05 xG chance 7–0

The model against the result

priced before kick-off
FC Bayern München
72% What happened
Draw
18%
1. FC Union Berlin
10%

Data coverage Both teams have the full 20-match model window available.

Projected vs produced

Expected goals
FC Bayern München The model projected 2.62 Produced 3.71 Difference +1.09
1. FC Union Berlin The model projected 1.05 Produced 0.34 Difference -0.71

FC Bayern München produced 1.09 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

FC Bayern München 1. FC Union Berlin
Shots
23
3
On target
13
2
Inside the box
14
2
xG per shot
0.17
0.11
Open play xG
2.49
0.19
Set-piece xG
0.54
0.13
Penalties
1
0

FC Bayern München's shots add up to 3.85 xG and 1. FC Union Berlin's to 0.32; the published figures are 3.71 and 0.34.

Shot map

Both teams shown attacking the same goal for comparison.

FC Bayern München · Michael Olise · 73' · Goal · 9 m · 0.97 xG FC Bayern München · Harry Kane · 39' · Goal · 12 m · 0.82 xG FC Bayern München · Ismael Saibari · 70' · Goal · 10 m · 0.35 xG FC Bayern München · Ismael Saibari · 67' · No goal · 2 m · 0.34 xG FC Bayern München · Serge Gnabry · 89' · No goal · 12 m · 0.22 xG 1. FC Union Berlin · Janik Haberer · 50' · No goal · 15 m · 0.19 xG FC Bayern München · Harry Kane · 64' · No goal · 19 m · 0.17 xG FC Bayern München · Harry Kane · 54' · Goal · 8 m · 0.16 xG FC Bayern München · Jonathan Tah · 22' · No goal · 5 m · 0.13 xG 1. FC Union Berlin · Tom Alexander Rothe · 51' · No goal · 8 m · 0.11 xG FC Bayern München · Luis Díaz · 56' · No goal · 14 m · 0.11 xG FC Bayern München · Josip Stanišić · 26' · No goal · 11 m · 0.10 xG FC Bayern München · Jamal Musiala · 18' · Goal · 19 m · 0.06 xG FC Bayern München · Michael Olise · 2' · No goal · 15 m · 0.05 xG FC Bayern München · Harry Kane · 44' · No goal · 10 m · 0.05 xG FC Bayern München · Michael Olise · 76' · Goal · 24 m · 0.05 xG FC Bayern München · Luis Díaz · 58' · No goal · 22 m · 0.04 xG FC Bayern München · Tom Bischof · 80' · No goal · 26 m · 0.04 xG FC Bayern München · Michael Olise · 16' · No goal · 25 m · 0.03 xG FC Bayern München · Michael Olise · 43' · Goal · 20 m · 0.03 xG FC Bayern München · Harry Kane · 67' · No goal · 10 m · 0.03 xG FC Bayern München · Ismael Saibari · 73' · No goal · 14 m · 0.03 xG FC Bayern München · Ismael Saibari · 83' · No goal · 9 m · 0.03 xG FC Bayern München · Jamal Musiala · 22' · No goal · 25 m · 0.02 xG FC Bayern München · Michael Olise · 24' · No goal · 22 m · 0.02 xG 1. FC Union Berlin · Derrick Köhn · 85' · No goal · 22 m · 0.02 xG

All shots

26 shots · 4.17 xG

Hover, focus or tap a shot to read it.

  • FC Bayern München
  • 1. FC Union Berlin
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
FC Bayern München

2.67 xG created 1.43 xGA

  • D 2.31 created, 2.59 conceded against 1. FC Heidenheim
  • W 1.85 created, 3.04 conceded against VfL Wolfsburg
  • W 3.05 created, 0.98 conceded against 1. FC Köln
  • W 4.06 created, 0.79 conceded against VfB Stuttgart
  • D 1.94 created, 0.21 conceded against FC Schalke 04
  • W 2.83 created, 0.94 conceded against SV 07 Elversberg
1. FC Union Berlin

1.95 xG created 1.84 xGA

  • D 1.15 created, 1.75 conceded against 1. FC Köln
  • W 2.68 created, 1.57 conceded against 1. FSV Mainz 05
  • W 3.68 created, 0.61 conceded against FC Augsburg
  • D 1.84 created, 1.47 conceded against Eintracht Frankfurt
  • L 0.39 created, 3.11 conceded against Bayer 04 Leverkusen
  • L 1.95 created, 2.52 conceded against FC Schalke 04

xG created xG conceded (xGA) W / D / L: the match result

Head to head

FC Bayern München: 1 won · 1 drawn · 0 lost

Pre-match model & market record

9 opportunities flagged0 won9 lost

  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on FC Bayern München against 1. FC Union Berlin before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Draw 17.00 +204.8% Lost
1. FC Union Berlin to win 26.00 +167.0% Lost
FC Bayern München at most 1 goal 11.00 +161.2% Lost
FC Bayern München not to score 34.00 +96.9% Lost
Under 2.5 goals 7.00 +87.1% Lost
Under 1.5 goals 19.00 +71.5% Lost
1. FC Union Berlin 2+ goals 5.00 +40.8% Lost
Both teams to score 1.91 +23.6% Lost
1. FC Union Berlin to score 1.80 +22.0% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
FC Bayern München 71.8% 90.8% −19.0 pp 1.39
Draw 17.9% 5.6% +12.4 pp 5.58
1. FC Union Berlin 10.3% 3.6% +6.6 pp 9.74

Other markets

Outcome Model Market Difference Fair odds
FC Bayern München to score 94.2% 97.1% −2.9 pp 1.06
FC Bayern München not to score 5.8% 2.9% +2.9 pp 17.27
1. FC Union Berlin to score 67.8% 51.5% +16.3 pp 1.48
1. FC Union Berlin not to score 32.2% 48.5% −16.3 pp 3.10
Both teams to score 64.8% 50.0% +14.8 pp 1.54
Both teams not to score 35.2% 50.0% −14.8 pp 2.84
FC Bayern München 2+ goals 76.3% 91.3% −15.0 pp 1.31
FC Bayern München at most 1 goal 23.7% 8.7% +15.0 pp 4.21
1. FC Union Berlin 2+ goals 28.2% 18.9% +9.2 pp 3.55
1. FC Union Berlin at most 1 goal 71.8% 81.1% −9.2 pp 1.39
Over 1.5 goals 91.0% 94.9% −3.9 pp 1.10
Under 1.5 goals 9.0% 5.1% +3.9 pp 11.08
Over 2.5 goals 73.3% 86.4% −13.1 pp 1.36
Under 2.5 goals 26.7% 13.6% +13.1 pp 3.74

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
FC Bayern München sample
20 matches
1. FC Union Berlin sample
20 matches
Computed
31 minutes before kick-off
Prices taken
11 hours before kick-off

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.