xgEdge

Saturday, 05/09/2026 at 15:30

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Match report · Bundesliga

Bayer 04 Leverkusen 4:0 1. FC Union Berlin

Bayer 04 Leverkusen Home 3.11 xG · 21 shots
1. FC Union Berlin Away 0.39 xG · 5 shots
40 The scoreline reflected the chances

Bayer 04 Leverkusen were the model's likeliest winner before kick-off at 57%. They won 4–0. The biggest difference was Bayer 04 Leverkusen's attack: 3.11 xG against 2.03 projected (+1.08). 1. FC Union Berlin produced 0.39 xG against 1.18 projected (−0.79).

Goals

  1. 1' Ezequiel Fernández Bayer 04 Leverkusen · 0.35 xG chance 1–0
  2. 28' Facundo Medina Bayer 04 Leverkusen · 0.40 xG chance 2–0
  3. 48' Patrik Schick Bayer 04 Leverkusen · 0.57 xG chance 3–0
  4. 66' Ibrahim Maza Bayer 04 Leverkusen · 0.08 xG chance 4–0

The model against the result

priced before kick-off
Bayer 04 Leverkusen
57% What happened
Draw
25%
1. FC Union Berlin
19%

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

Projected vs produced

Expected goals
Bayer 04 Leverkusen The model projected 2.03 Produced 3.11 Difference +1.08
1. FC Union Berlin The model projected 1.18 Produced 0.39 Difference -0.79

Bayer 04 Leverkusen produced 1.08 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

Bayer 04 Leverkusen 1. FC Union Berlin
Shots
21
5
On target
10
0
Inside the box
16
2
xG per shot
0.14
0.08
Open play xG
2.24
0.04
Set-piece xG
0.73
0.38
Penalties
—
—
Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 2.95 for Bayer 04 Leverkusen and 0.41 for 1. FC Union Berlin.

Shot map

Both teams shown attacking the same goal for comparison.

Bayer 04 Leverkusen · Patrik Schick · 48' · Goal · 7 m · 0.57 xG Bayer 04 Leverkusen · Facundo Medina · 28' · Goal · 5 m · 0.40 xG Bayer 04 Leverkusen · Ezequiel Fernández · 1' · Goal · 5 m · 0.35 xG Bayer 04 Leverkusen · Patrik Schick · 62' · No goal · 4 m · 0.30 xG 1. FC Union Berlin · Felix Uduokhai · 82' · No goal · 5 m · 0.22 xG Bayer 04 Leverkusen · Afonso Moreira · 60' · No goal · 10 m · 0.20 xG Bayer 04 Leverkusen · Patrik Schick · 9' · No goal · 8 m · 0.16 xG Bayer 04 Leverkusen · Christian Kofane · 68' · No goal · 7 m · 0.15 xG Bayer 04 Leverkusen · Patrik Schick · 28' · No goal · 4 m · 0.12 xG 1. FC Union Berlin · Emmanuel Latte Lath · 53' · No goal · 7 m · 0.11 xG Bayer 04 Leverkusen · Ibrahim Maza · 1' · No goal · 11 m · 0.10 xG Bayer 04 Leverkusen · Ezequiel Fernández · 38' · No goal · 18 m · 0.10 xG Bayer 04 Leverkusen · Ibrahim Maza · 66' · Goal · 19 m · 0.08 xG Bayer 04 Leverkusen · Jarell Quansah · 90' · No goal · 9 m · 0.07 xG Bayer 04 Leverkusen · Aleix García · 90' · No goal · 17 m · 0.07 xG Bayer 04 Leverkusen · Malik Tillman · 38' · No goal · 15 m · 0.06 xG Bayer 04 Leverkusen · Christian Kofane · 83' · No goal · 10 m · 0.05 xG Bayer 04 Leverkusen · Ibrahim Maza · 6' · No goal · 5 m · 0.04 xG Bayer 04 Leverkusen · Ibrahim Maza · 37' · No goal · 18 m · 0.04 xG 1. FC Union Berlin · Tim Skarke · 74' · No goal · 21 m · 0.04 xG Bayer 04 Leverkusen · Afonso Moreira · 14' · No goal · 21 m · 0.03 xG Bayer 04 Leverkusen · Afonso Moreira · 34' · No goal · 14 m · 0.03 xG Bayer 04 Leverkusen · Aleix García · 37' · No goal · 3 m · 0.03 xG 1. FC Union Berlin · Josip Juranović · 43' · No goal · 21 m · 0.03 xG 1. FC Union Berlin · Janik Haberer · 70' · No goal · 26 m · 0.02 xG Bayer 04 Leverkusen · Ibrahim Maza · 77' · No goal · 22 m · 0.02 xG

All shots

26 shots · 3.39 xG

Hover, focus or tap a shot to read it.

  • Bayer 04 Leverkusen
  • 1. FC Union Berlin
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Bayer 04 Leverkusen

2.54 xG created 1.94 xGA

  • L 3.80 created, 1.33 conceded against FC Augsburg
  • W 1.33 created, 3.04 conceded against 1. FC Köln
  • W 4.42 created, 1.17 conceded against RB Leipzig
  • L 0.54 created, 3.04 conceded against VfB Stuttgart
  • D 3.27 created, 1.79 conceded against Hamburger SV
  • L 1.88 created, 1.27 conceded against SV 07 Elversberg
1. FC Union Berlin

1.89 xG created 1.68 xGA

  • L 1.79 created, 0.19 conceded against VfL Wolfsburg
  • L 0.19 created, 4.49 conceded against RB Leipzig
  • 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

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

Head to head

Bayer 04 Leverkusen: 1 won · 0 drawn · 1 lost

Pre-match model & market record

4 opportunities flagged0 won4 lost

  • Lost
  • Lost
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on Bayer 04 Leverkusen 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
1. FC Union Berlin to win 7.50 +41.9% Lost
Draw 5.50 +35.1% Lost
Under 2.5 goals 3.20 +14.2% Lost
Both teams to score 1.62 +5.7% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Bayer 04 Leverkusen 56.5% 70.4% −13.9 pp 1.77
Draw 24.6% 17.1% +7.5 pp 4.07
1. FC Union Berlin 18.9% 12.5% +6.4 pp 5.29

Other markets

Outcome Model Market Difference Fair odds
Both teams to score 65.4% 57.7% +7.8 pp 1.53
Both teams not to score 34.6% 42.3% −7.8 pp 2.89
Over 1.5 goals 86.6% 86.4% +0.2 pp 1.15
Under 1.5 goals 13.4% 13.6% −0.2 pp 7.45
Over 2.5 goals 64.3% 70.1% −5.8 pp 1.55
Under 2.5 goals 35.7% 29.9% +5.8 pp 2.80

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)
Bayer 04 Leverkusen sample
20 matches
1. FC Union Berlin sample
20 matches
Computed
29 minutes before kick-off
Prices taken
30 minutes 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.