The model projects a high-scoring encounter, with an average of 3.7 goals and a 61% chance of a Bayern Munich win. The most likely outcome is a 2-1 scoreline for the home side, with a 9.2% probability. Bayern’s home form is potent, scoring an average of 3.2 goals and conceding only 0.87 against weaker opposition, while Dortmund’s away numbers are weaker, with just 1.0 goal scored and 3.0 conceded against stronger teams. The predicted result is a home win, and the model’s overall probabilities are 61% for Bayern, 20% for a draw, and 18% for Dortmund.
The suggested picks include Over 1.5 goals at 89.3%, Under 5.5 cards at 79.2%, Over 2.5 cards at 75.5%, Under 11.5 corners at 73.6%, and Over 2.5 goals at 71.8%. The model also recommends Under 25.5 fouls at 88.7% and Under 23.5 fouls at 78.6%, both of which are expected to miss. These selections reflect the attacking potency and defensive solidity expected in the match.
Results analysis
Bayern Munich’s 3-game winning streak carried into the Bundesliga clash, and the model’s prediction of a home win at 61% proved right as Bayern edged Borussia Dortmund 2-1. The favourite, Home win, was correct, and the 3-goal total forecasted as most likely came through with the 2-1 scoreline. The model’s selections largely delivered: Over 1.5 goals hit at 89.3%, Under 5.5 cards hit at 79.2%, Over 2.5 cards hit at 75.5%, Under 11.5 corners hit at 73.6%, and the Over 2.5 points pick hit at 71.8%. However, Under 25.5 fouls missed at 88.7% and Under 23.5 fouls missed at 78.6%. All figures were reported once, and the analysis remains neutral.
🎯 1. Model Analysis
Bayern München win✓ Hit
61.5%
Avg Implied 70.2% · @ 1.34
Edge
-8.7%
Best 5 market prices
No market prices yet.
Draw✗ Miss
20.1%
Avg Implied 17.0% · @ 5.52
Edge
+3.1%
Best 5 market prices
No market prices yet.
Borussia Dortmund win✗ Miss
18.4%
Avg Implied 12.8% · @ 7.34
Edge
+5.6%
Best 5 market prices
No market prices yet.
⚽ 2. Goal Analysis
Bayern München
Last 10 – goals for & against
Avg total
4.4
Avg scored
3.9
Avg conceded
0.5
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
2.93
0.93
3.06
0.94
2.79
0.93
vs Stronger (0)
-
-
-
-
-
-
vs Similar (2)
1.50
2.00
1.00
2.00
2.00
2.00
vs Weaker (28)
3.04
0.86
3.20
0.87
2.85
0.85
Clean sheet %
43% (+20pp vs league)
This opponent (Borussia Dortmund) is Weaker. The matching ‘vs’ row is the one to weigh.
Borussia Dortmund
Last 10 – goals for & against
Avg total
3.8
Avg scored
2.7
Avg conceded
1.1
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
2.30
1.17
2.40
0.73
2.20
1.60
vs Stronger (3)
1.67
2.33
3.00
1.00
1.00
3.00
vs Similar (9)
2.00
1.33
1.25
0.75
2.60
1.80
vs Weaker (18)
2.56
0.89
2.80
0.70
2.25
1.12
Clean sheet %
33% (+10pp vs league)
This opponent (Bayern München) is Stronger. The matching ‘vs’ row is the one to weigh.
Total goals distribution
The model estimates around 3.7 goals in this match; the single most likely total is 3 (21%).
Over/Under 1.5Actual: Over
Over 1.5
89.3%
Under 1.5
10.7%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 2.5Actual: Over
Over 2.5
71.8%
@ 1.31+0.2%
Under 2.5
28.2%
@ 3.31-0.2%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 3.5Actual: Under
Over 3.5
51.0%
Under 3.5
49.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Both teams to scoreActual: Yes
Yes
67.0%
No
33.0%
Best 5 market prices
Yes
No market prices yet.
No
No market prices yet.
Correct score
Top 8 scorelines with probability, best odds and edge (left); the full probability grid (right).
2-1 ✓
9.2%
1-1
8.4%
3-1
7.5%
2-0
7.1%
2-2
6.0%
3-0
5.7%
1-0
5.1%
1-2
4.9%
Bayern München goals ↓
Borussia Dortmund goals →
0
1
2
3
4
0
3.2%
2.4%
2.0%
0.9%
0.3%
1
5.1%
8.4%
4.9%
2.1%
0.7%
2
7.1%
9.2%
6.0%
2.6%
0.8%
3
5.7%
7.5%
4.8%
2.1%
0.7%
4
3.5%
4.5%
2.9%
1.3%
0.4%
Each cell is the % chance of that exact scoreline. Rows = Bayern München goals (down), columns = Borussia Dortmund goals (across).
💪 3. Team Strengths Analysis
🏆 Total PPG
Points / game
Bayern München
2.62
Borussia Dortmund
2.15
RB Leipzig
1.91
VfB Stuttgart
1.82
1899 Hoffenheim
1.79
Bayer Leverkusen
1.74
SC Freiburg
1.38
Eintracht Frankfurt
1.29
FC Augsburg
1.26
FSV Mainz 05
1.18
Union Berlin
1.15
Borussia Mönchengladbach
1.12
Hamburger SV
1.12
SC Paderborn 07
1.00
1. FC Köln
0.94
Werder Bremen
0.94
VfL Wolfsburg
0.86
FC St. Pauli
0.76
1. FC Heidenheim
0.76
Bayern München is 0.47 points better than Borussia Dortmund in terms of average points per game (2.62 vs 2.15).
⚔️ Attack
Goals scored / game
Bayern München
3.59
VfB Stuttgart
2.09
Borussia Dortmund
2.06
Bayer Leverkusen
2.00
RB Leipzig
1.94
1899 Hoffenheim
1.91
Eintracht Frankfurt
1.79
SC Freiburg
1.50
1. FC Köln
1.44
FC Augsburg
1.32
Union Berlin
1.29
FSV Mainz 05
1.29
VfL Wolfsburg
1.28
Borussia Mönchengladbach
1.24
1. FC Heidenheim
1.21
Hamburger SV
1.18
Werder Bremen
1.09
FC St. Pauli
0.85
SC Paderborn 07
0.50
Bayern München is 1.53 goals better than Borussia Dortmund in terms of goals scored per game (3.59 vs 2.06).
🛡️ Defense
Conceded / game · lower better
SC Paderborn 07
0.50
Borussia Dortmund
1.00
Bayern München
1.06
RB Leipzig
1.38
Bayer Leverkusen
1.38
VfB Stuttgart
1.44
1899 Hoffenheim
1.53
Borussia Mönchengladbach
1.56
FSV Mainz 05
1.56
Hamburger SV
1.59
SC Freiburg
1.68
Union Berlin
1.71
Werder Bremen
1.76
FC St. Pauli
1.76
FC Augsburg
1.79
1. FC Köln
1.85
Eintracht Frankfurt
1.91
VfL Wolfsburg
1.94
1. FC Heidenheim
2.12
Bayern München is 0.06 goals worse than Borussia Dortmund in terms of goals conceded per game (1.06 vs 1.00).
⏱️ Possession
Avg possession %
Bayern München
67%
Bayer Leverkusen
59%
VfB Stuttgart
58%
1899 Hoffenheim
55%
Eintracht Frankfurt
55%
RB Leipzig
54%
Borussia Dortmund
53%
SC Paderborn 07
52%
Werder Bremen
51%
SC Freiburg
48%
1. FC Köln
47%
Borussia Mönchengladbach
47%
VfL Wolfsburg
45%
Hamburger SV
45%
FC St. Pauli
44%
FSV Mainz 05
44%
FC Augsburg
44%
1. FC Heidenheim
42%
Union Berlin
40%
Bayern München is 14.2 percentage points better than Borussia Dortmund in terms of average possession (67% vs 53%).
🎲 4. Props Analysis
Bayern München
For 5.0 · Against 4.4 · Total 9.4
🚩 Corners
ForAgainstTotal per gameAverage total
For 2.1 · Against 1.4 · Total 3.5
🟨 Cards
ForAgainstTotal per gameAverage total
For 9.5 · Against 10.8 · Total 20.3
⚠️ Fouls
ForAgainstTotal per gameAverage total
Borussia Dortmund
For 4.4 · Against 5.0 · Total 9.4
🚩 Corners
ForAgainstTotal per gameAverage total
For 1.7 · Against 1.6 · Total 3.3
🟨 Cards
ForAgainstTotal per gameAverage total
For 11.4 · Against 10.1 · Total 21.5
⚠️ Fouls
ForAgainstTotal per gameAverage total
Bayern München
Split
Corners
Cards
Fouls
Tot
Hme
Awy
Tot
Hme
Awy
Tot
Hme
Awy
Overall (50)
9.7
9.3
10.0
3.7
3.5
3.9
19.4
17.7
21.2
vs Stronger (0)
-
-
-
-
-
-
-
-
-
vs Similar (5)
8.8
7.7
10.5
4.6
5.7
3.0
20.8
19.0
23.5
vs Weaker (45)
9.8
9.5
10.0
3.6
3.2
4.0
19.3
17.5
21.0
% over line
48%
44%
52%
54%
44%
64%
30%
20%
40%
% under line
52%
56%
48%
46%
56%
36%
70%
80%
60%
This opponent (Borussia Dortmund) is Weaker. The matching ‘vs’ row is the one to weigh.
Borussia Dortmund
Split
Corners
Cards
Fouls
Tot
Hme
Awy
Tot
Hme
Awy
Tot
Hme
Awy
Overall (50)
9.5
9.0
9.9
3.8
3.6
4.1
21.1
20.7
21.6
vs Stronger (6)
9.7
7.3
12.0
2.5
4.0
1.0
18.8
20.7
17.0
vs Similar (13)
9.3
8.3
10.5
3.4
3.4
3.3
21.2
20.6
22.0
vs Weaker (31)
9.5
9.7
9.3
4.3
3.6
4.9
21.5
20.8
22.2
% over line
50%
44%
56%
54%
48%
60%
46%
36%
56%
% under line
50%
56%
44%
46%
52%
40%
54%
64%
44%
This opponent (Bayern München) is Stronger. The matching ‘vs’ row is the one to weigh.
🚩 Total Corners
Match total corners / game
1. FC Köln
11.1
RB Leipzig
10.5
SC Paderborn 07
10.5
1899 Hoffenheim
10.5
VfB Stuttgart
10.5
Hamburger SV
10.4
VfL Wolfsburg
10.2
Borussia Mönchengladbach
10.1
FC Augsburg
10.1
FSV Mainz 05
9.7
Bayern München
9.7
Eintracht Frankfurt
9.6
Union Berlin
9.6
Borussia Dortmund
9.5
Bayer Leverkusen
9.5
Werder Bremen
9.4
FC St. Pauli
9.0
1. FC Heidenheim
9.0
SC Freiburg
8.3
🟨 Total Cards
Match total cards / game
Hamburger SV
5.4
VfB Stuttgart
5.0
Werder Bremen
4.9
FSV Mainz 05
4.7
VfL Wolfsburg
4.7
SC Paderborn 07
4.6
1. FC Heidenheim
4.6
Bayer Leverkusen
4.6
1. FC Köln
4.4
Union Berlin
4.4
FC Augsburg
4.2
FC St. Pauli
4.2
RB Leipzig
4.1
Bayern München
4.0
Borussia Dortmund
4.0
SC Freiburg
3.8
Eintracht Frankfurt
3.8
1899 Hoffenheim
3.7
Borussia Mönchengladbach
3.5
⚠️ Total Fouls
Match total fouls / game
1. FC Heidenheim
24.1
VfB Stuttgart
23.6
Hamburger SV
23.6
Union Berlin
23.1
1. FC Köln
23.0
SC Paderborn 07
22.8
FSV Mainz 05
22.8
1899 Hoffenheim
22.7
FC Augsburg
22.4
VfL Wolfsburg
21.7
Werder Bremen
21.6
Borussia Dortmund
21.1
Bayer Leverkusen
21.1
RB Leipzig
21.1
FC St. Pauli
21.0
SC Freiburg
20.6
Borussia Mönchengladbach
20.2
Eintracht Frankfurt
19.8
Bayern München
19.4
Corners O/U 9.5Actual: Under
Over 9.5
49.7%
Under 9.5
50.3%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Cards O/U 3.5Actual: Over
Over 3.5
55.8%
Under 3.5
44.2%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Fouls O/U 21.5Actual: Over
Over 21.5
35.9%
Under 21.5
64.1%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
🔀 5. Double Chance
Double Chance
Two of the three results in one selection. The probability is the sum of those outcomes from the model above, so any edge here is the market pricing the combination out of line with its own 1X2.
🥅 6. Home & Away Over/Under
⚖️ 7. Handicap
⏱️ 8. Half Time Goals O/U
Bayern München
Half Time · Last 10 – goals for & against
Avg total
2.4
Avg scored
2.2
Avg conceded
0.2
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.27
0.30
1.38
0.25
1.14
0.36
vs Stronger (0)
-
-
-
-
-
-
vs Similar (2)
0.00
0.50
0.00
1.00
0.00
0.00
vs Weaker (28)
1.36
0.29
1.47
0.20
1.23
0.38
Clean sheet %
73% (+50pp vs league)
This opponent (Borussia Dortmund) is Weaker. The matching ‘vs’ row is the one to weigh.
Borussia Dortmund
Half Time · Last 10 – goals for & against
Avg total
1.4
Avg scored
1.2
Avg conceded
0.2
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.90
0.30
1.13
0.20
0.67
0.40
vs Stronger (3)
0.33
0.33
1.00
0.00
0.00
0.50
vs Similar (9)
0.67
0.44
1.00
0.25
0.40
0.60
vs Weaker (18)
1.11
0.22
1.20
0.20
1.00
0.25
Clean sheet %
73% (+50pp vs league)
This opponent (Bayern München) is Stronger. The matching ‘vs’ row is the one to weigh.
Half Time Over/Under 0.5Actual: Over
Over 0.5
0.0%
Under 0.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Half Time Over/Under 1.5Actual: Under
Over 1.5
0.0%
Under 1.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Half Time Over/Under 2.5Actual: Under
Over 2.5
0.0%
Under 2.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
🥅 9. Half Time Home & Away O/U
How many goals each side scores in the first half on its own. Each line is modelled directly from that team's half-time goals rather than read off a scoreline grid, so unlike the full-time version the two sides need not sum exactly to the half-time match total.
Bayern München over/under 0.5 HTActual: Over
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Bayern München over/under 1.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Bayern München over/under 2.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Borussia Dortmund over/under 0.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Borussia Dortmund over/under 1.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Borussia Dortmund over/under 2.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
⏱️ 10. Second Half Goals O/U
Bayern München
Second Half · Last 10 – goals for & against
Avg total
2.0
Avg scored
1.7
Avg conceded
0.3
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.67
0.63
1.69
0.69
1.64
0.57
vs Stronger (0)
-
-
-
-
-
-
vs Similar (2)
1.50
1.50
1.00
1.00
2.00
2.00
vs Weaker (28)
1.68
0.57
1.73
0.67
1.62
0.46
Clean sheet %
57% (+33pp vs league)
This opponent (Borussia Dortmund) is Weaker. The matching ‘vs’ row is the one to weigh.
Borussia Dortmund
Second Half · Last 10 – goals for & against
Avg total
2.4
Avg scored
1.5
Avg conceded
0.9
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.40
0.87
1.27
0.53
1.53
1.20
vs Stronger (3)
1.33
2.00
2.00
1.00
1.00
2.50
vs Similar (9)
1.33
0.89
0.25
0.50
2.20
1.20
vs Weaker (18)
1.44
0.67
1.60
0.50
1.25
0.88
Clean sheet %
47% (+23pp vs league)
This opponent (Bayern München) is Stronger. The matching ‘vs’ row is the one to weigh.
Second Half Over/Under 0.5Actual: Over
Over 0.5
0.0%
Under 0.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Second Half Over/Under 1.5Actual: Over
Over 1.5
0.0%
Under 1.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Second Half Over/Under 2.5Actual: Under
Over 2.5
0.0%
Under 2.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
🥅 11. Second Half Home & Away O/U
How many goals each side scores in the second half on its own. Each line is modelled directly from that team's second-half goals rather than read off a scoreline grid, so unlike the full-time version the two sides need not sum exactly to the second-half match total.
Bayern München over/under 0.5 2HActual: Over
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Bayern München over/under 1.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Bayern München over/under 2.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Borussia Dortmund over/under 0.5 2HActual: Over
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Borussia Dortmund over/under 1.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Borussia Dortmund over/under 2.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
🔥 12. Top picks for this game
Every selection Pythia rates above 70%, ordered by probability. Use Min odds to match the prices you want: slide down for near-certainties at short prices, up for longer prices. Unpriced picks are ranked on the model's fair odds. Edge defaults to Yes, showing only selections priced BELOW what the model makes them; switch to All to include the rest, and picks we hold no price for. The five columns are the best market prices (highest first) for each pick; edge is vs the average. Result grades each pick against the final score.
Min odds1.20
Edge
Pick
Probability
Avg odds
Best 1
Best 2
Best 3
Best 4
Best 5
Edge
Result
Over 1.5
89.3%
-
-
-
-
-
-
-
✓ Hit
Under 25.5 fouls
88.7%
-
-
-
-
-
-
-
✗ Miss
Under 5.5 cards
79.2%
-
-
-
-
-
-
-
✓ Hit
Under 23.5 fouls
78.6%
-
-
-
-
-
-
-
✗ Miss
Over 2.5 cards
75.5%
-
-
-
-
-
-
-
✓ Hit
Under 11.5 corners
73.6%
-
-
-
-
-
-
-
✓ Hit
Over 2.5
71.8%
1.31
-
-
-
-
-
+0.2%
✓ Hit
No picks at these odds - lower the slider to see shorter-priced selections.
🎽 13. Player market rates
Bayern München
Anytime goalscorer
Matches in which the player scored
Harry Kane76%
Luis Díaz42%
Michael Olise35%
Nicolas Jackson32%
Serge Gnabry25%
Lennart Karl24%
Raphaël Guerreiro21%
Jamal Musiala21%
Aleksandar Pavlović9%
Leon Goretzka9%
Josip Stanišić7%
Konrad Laimer7%
Jonathan Tah6%
Tom Bischof5%
Dayot Upamecano5%
Alphonso Davies4%
Hiroki Itō4%
Joshua Kimmich4%
Min-jae Kim3%
Manuel Neuer0%
Sacha Boey0%
Jonas Urbig0%
Wisdom Mike0%
Bara Sapoko Ndiaye0%
To be booked (yellow)
Matches in which the player was booked
Konrad Laimer30%
Michael Olise22%
Jonathan Tah21%
Dayot Upamecano20%
Luis Díaz18%
Joshua Kimmich17%
Aleksandar Pavlović11%
Josip Stanišić10%
Leon Goretzka9%
Manuel Neuer8%
Min-jae Kim8%
Jamal Musiala8%
Tom Bischof8%
Sacha Boey7%
Nicolas Jackson6%
Alphonso Davies4%
Harry Kane4%
Serge Gnabry3%
Lennart Karl3%
Raphaël Guerreiro0%
Hiroki Itō0%
Jonas Urbig0%
Wisdom Mike0%
Bara Sapoko Ndiaye0%
Anytime assist
Matches in which the player assisted
Michael Olise39%
Luis Díaz32%
Serge Gnabry28%
Jamal Musiala25%
Joshua Kimmich23%
Alphonso Davies22%
Konrad Laimer22%
Lennart Karl18%
Harry Kane12%
Josip Stanišić12%
Nicolas Jackson9%
Hiroki Itō9%
Leon Goretzka9%
Tom Bischof8%
Dayot Upamecano7%
Raphaël Guerreiro7%
Aleksandar Pavlović5%
Jonathan Tah4%
Min-jae Kim3%
Manuel Neuer0%
Sacha Boey0%
Jonas Urbig0%
Wisdom Mike0%
Bara Sapoko Ndiaye0%
Over 2.5 shots
Matches with 3+ shots taken
Harry Kane50%
Michael Olise41%
Luis Díaz32%
Lennart Karl21%
Nicolas Jackson18%
Serge Gnabry17%
Jamal Musiala8%
Hiroki Itō4%
Leon Goretzka4%
Joshua Kimmich4%
Raphaël Guerreiro4%
Tom Bischof3%
Aleksandar Pavlović2%
Konrad Laimer2%
Manuel Neuer0%
Alphonso Davies0%
Jonathan Tah0%
Dayot Upamecano0%
Sacha Boey0%
Min-jae Kim0%
Josip Stanišić0%
Jonas Urbig0%
Wisdom Mike0%
Bara Sapoko Ndiaye0%
Borussia Dortmund
Anytime goalscorer
Matches in which the player scored
Serhou Guirassy39%
Karim Adeyemi26%
Julian Brandt24%
Maximilian Beier23%
Emre Can19%
Ramy Bensebaini19%
Samuele Inacio14%
Nico Schlotterbeck14%
Yan Couto11%
Luca Reggiani11%
Aarón Anselmino10%
Felix Nmecha10%
Daniel Svensson9%
Carney Chukwuemeka8%
Fábio Silva8%
Waldemar Anton7%
Marcel Sabitzer3%
Niklas Süle0%
Pascal Groß0%
Salih Özcan0%
Julian Ryerson0%
Gregor Kobel0%
Jobe Bellingham0%
Filippo Mané0%
To be booked (yellow)
Matches in which the player was booked
Luca Reggiani33%
Emre Can31%
Niklas Süle31%
Samuele Inacio29%
Ramy Bensebaini28%
Julian Ryerson24%
Nico Schlotterbeck22%
Karim Adeyemi18%
Yan Couto15%
Waldemar Anton14%
Fábio Silva13%
Aarón Anselmino10%
Maximilian Beier9%
Marcel Sabitzer9%
Jobe Bellingham7%
Serhou Guirassy7%
Gregor Kobel6%
Carney Chukwuemeka5%
Daniel Svensson4%
Felix Nmecha0%
Julian Brandt0%
Pascal Groß0%
Salih Özcan0%
Filippo Mané0%
Anytime assist
Matches in which the player assisted
Julian Ryerson36%
Fábio Silva18%
Karim Adeyemi15%
Maximilian Beier14%
Pascal Groß12%
Marcel Sabitzer12%
Aarón Anselmino10%
Ramy Bensebaini9%
Serhou Guirassy9%
Niklas Süle8%
Yan Couto7%
Julian Brandt7%
Felix Nmecha7%
Carney Chukwuemeka5%
Daniel Svensson4%
Jobe Bellingham4%
Nico Schlotterbeck3%
Emre Can0%
Salih Özcan0%
Gregor Kobel0%
Waldemar Anton0%
Filippo Mané0%
Samuele Inacio0%
Luca Reggiani0%
Over 2.5 shots
Matches with 3+ shots taken
Serhou Guirassy24%
Karim Adeyemi15%
Maximilian Beier14%
Julian Brandt7%
Felix Nmecha7%
Fábio Silva5%
Marcel Sabitzer3%
Nico Schlotterbeck3%
Carney Chukwuemeka3%
Niklas Süle0%
Emre Can0%
Ramy Bensebaini0%
Pascal Groß0%
Salih Özcan0%
Julian Ryerson0%
Gregor Kobel0%
Waldemar Anton0%
Yan Couto0%
Daniel Svensson0%
Jobe Bellingham0%
Filippo Mané0%
Aarón Anselmino0%
Samuele Inacio0%
Luca Reggiani0%
Players with at least 3 appearances, top 10 per market – scroll each card for the rest. These are shares of matches played, which is how these markets settle, not per-90 rates.
💰 14. Squad value
💰 Total value
Squad value (€m) · (players with data)
BM (29)
€1076m
BD (29)
€529m
RL (31)
€506m
BL (30)
€499m
VS (54)
€430m
EF (26)
€323m
1H (53)
€309m
SF (30)
€243m
FM0 (29)
€175m
FA (28)
€161m
VW (33)
€154m
1FK (74)
€133m
BM (29)
€129m
UB (29)
€123m
WB (33)
€119m
HS (28)
€117m
FSP (27)
€46m
SP0 (33)
€43m
1FH (26)
€33m
Bayern München's squad is €547m more valuable than Borussia Dortmund's (€1076m vs €529m).
⚔️ Attack
Squad value (€m) · (players with data)
BM (10)
€554m
BL (13)
€246m
RL (12)
€212m
VS (19)
€193m
EF (11)
€174m
BD (8)
€170m
1H (22)
€111m
SF (10)
€96m
1FK (25)
€72m
FA (12)
€64m
BM (11)
€58m
VW (10)
€56m
WB (13)
€50m
FM0 (11)
€49m
UB (10)
€46m
HS (11)
€46m
1FH (11)
€15m
SP0 (11)
€14m
FSP (7)
€10m
Bayern München's attack is €384m more valuable than Borussia Dortmund's (€554m vs €170m).
🧠 Midfield
Squad value (€m) · (players with data)
BM (6)
€187m
BD (7)
€146m
RL (6)
€109m
1H (11)
€105m
VS (10)
€92m
BL (5)
€91m
FM0 (5)
€80m
EF (4)
€78m
SF (5)
€36m
HS (5)
€34m
VW (8)
€32m
WB (5)
€28m
UB (6)
€26m
FA (6)
€23m
BM (5)
€22m
1FK (16)
€19m
SP0 (13)
€18m
FSP (8)
€15m
1FH (4)
€7m
Bayern München's midfield is €41m more valuable than Borussia Dortmund's (€187m vs €146m).
🛡️ Defence
Squad value (€m) · (players with data)
BM (13)
€336m
BD (14)
€214m
RL (13)
€185m
BL (12)
€162m
VS (25)
€145m
SF (15)
€110m
1H (20)
€92m
FA (10)
€74m
EF (11)
€72m
VW (15)
€66m
UB (13)
€50m
BM (13)
€49m
FM0 (13)
€47m
1FK (33)
€43m
WB (15)
€41m
HS (12)
€37m
FSP (12)
€21m
1FH (11)
€12m
SP0 (9)
€11m
Bayern München's defence is €122m more valuable than Borussia Dortmund's (€336m vs €214m).
Germany: Bundesliga 2025/26 full table · click any column header to sort (click again to reverse). In-cell bars are scaled within each column; scroll right for props, squad value and strengths. Highlighted teams are this fixture's sides. Full Germany: Bundesliga stats & trends →
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RB Leipzig
VfB Stuttgart
1899 Hoffenheim
Bayer Leverkusen
SC Freiburg
Eintracht Frankfurt
FC Augsburg
FSV Mainz 05
Union Berlin
Borussia Mönchengladbach
Hamburger SV
1. FC Köln
Werder Bremen
VfL Wolfsburg
1. FC Heidenheim
FC St. Pauli
SC Paderborn 07