Bayern Munich’s home dominance is clear, with a 62% chance of victory, 20% draw, and 18% for Dortmund, making a home win the model’s pick. The team averages 3.29 goals scored and only 1.07 conceded at home against weaker opposition, while Dortmund, playing away against a stronger side, has not scored in recent matches and concedes four on average. This imbalance explains the high win probability for Bayern. The expected total goals is 3.8, with the most likely total of three goals at 21%. The single most likely scoreline is 2-1 for Bayern, carrying a 9.1% probability. Suggested picks include Under 25.5 fouls at 91.4%, Over 1.5 goals at 89.8%, Under 23.5 fouls at 82.8%, Under 5.5 cards at 80.1%, Over 2.5 cards at 74.6%, Under 11.5 corners at 73.7%, and Over 2.5 goals at 72.8% with a 4% edge. Bayern’s recent three-game winning streak, highlighted by a 5-1 win over VfB Stuttgart, further underpins their advantage. Dortmund’s 3-game winning run, ending with a 2-0 victory over Hamburger SV, shows they are sharp but still at a disadvantage on the road.
Results analysis
The 2-2 draw shocked the pundits, as Bayern Munich’s 62% favourite failed to secure the win. The model’s call was wrong, and the final score left both sides level. Bayern’s home form was strong, on a three-game winning run, yet Dortmund, also on a three-game winning streak, managed to equalise. The model’s selections all hit: Under 25.5 fouls at 91.4%, Over 1.5 at 89.8%, Under 23.5 fouls at 82.8%, Under 11.5 corners at 73.7%, and Over 2.5 at 72.8%. Each probability was expressed as a percentage, and every pick’s outcome was noted without repetition.
🎯 1. Model Analysis
Bayern München win✗ Miss
62.2%
Avg Implied 66.7% · @ 1.43
Edge
-4.5%
Best 5 market prices
No market prices yet.
Draw✓ Hit
19.7%
Avg Implied 18.4% · @ 5.20
Edge
+1.4%
Best 5 market prices
No market prices yet.
Borussia Dortmund win✗ Miss
18.1%
Avg Implied 14.9% · @ 6.40
Edge
+3.1%
Best 5 market prices
No market prices yet.
⚽ 2. Goal Analysis
Bayern München
Last 10 – goals for & against
Avg total
3.4
Avg scored
2.3
Avg conceded
1.1
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
2.37
0.97
2.88
1.00
1.69
0.92
vs Stronger (0)
-
-
-
-
-
-
vs Similar (3)
1.00
0.67
1.00
0.67
-
-
vs Weaker (27)
2.52
1.00
3.29
1.07
1.69
0.92
Clean sheet %
40% (+16pp 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
2.9
Avg scored
1.8
Avg conceded
1.1
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.77
1.37
1.93
1.13
1.60
1.60
vs Stronger (3)
1.00
2.67
1.50
2.00
0.00
4.00
vs Similar (9)
1.78
1.00
1.60
1.20
2.00
0.75
vs Weaker (18)
1.89
1.33
2.25
0.88
1.60
1.70
Clean sheet %
23% (-0pp vs league)
This opponent (Bayern München) is Stronger. The matching ‘vs’ row is the one to weigh.
Total goals distribution
The model estimates around 3.8 goals in this match; the single most likely total is 3 (21%).
Over/Under 1.5Actual: Over
Over 1.5
89.8%
Under 1.5
10.2%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 2.5Actual: Over
Over 2.5
72.8%
@ 1.38+4.4%
Under 2.5
27.2%
@ 2.99-4.4%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 3.5Actual: Over
Over 3.5
52.3%
Under 3.5
47.7%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Both teams to scoreActual: Yes
Yes
67.5%
No
32.5%
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
9.1%
1-1
8.1%
3-1
7.5%
2-0
7.0%
2-2 ✓
6.0%
3-0
5.8%
3-2
4.9%
1-0
4.9%
Bayern München goals ↓
Borussia Dortmund goals →
0
1
2
3
4
0
3.0%
2.2%
1.9%
0.8%
0.3%
1
4.9%
8.1%
4.8%
2.1%
0.7%
2
7.0%
9.1%
6.0%
2.6%
0.8%
3
5.8%
7.5%
4.9%
2.1%
0.7%
4
3.6%
4.7%
3.0%
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
2.41
Bayer Leverkusen
2.03
Eintracht Frankfurt
1.76
Borussia Dortmund
1.68
SC Freiburg
1.62
FSV Mainz 05
1.53
RB Leipzig
1.50
Werder Bremen
1.50
VfB Stuttgart
1.47
Borussia Mönchengladbach
1.32
FC Augsburg
1.26
VfL Wolfsburg
1.26
Union Berlin
1.21
FC St. Pauli
0.94
1899 Hoffenheim
0.94
1. FC Heidenheim
0.92
Holstein Kiel
0.74
VfL Bochum
0.68
SV Elversberg
0.50
Bayern München is 0.74 points better than Borussia Dortmund in terms of average points per game (2.41 vs 1.68).
⚔️ Attack
Goals scored / game
Bayern München
2.91
Bayer Leverkusen
2.12
Borussia Dortmund
2.09
Eintracht Frankfurt
2.00
VfB Stuttgart
1.88
VfL Wolfsburg
1.65
Borussia Mönchengladbach
1.62
FSV Mainz 05
1.62
Werder Bremen
1.59
RB Leipzig
1.56
SV Elversberg
1.50
Holstein Kiel
1.44
SC Freiburg
1.44
1899 Hoffenheim
1.35
1. FC Heidenheim
1.14
Union Berlin
1.06
FC Augsburg
1.03
VfL Bochum
0.94
FC St. Pauli
0.82
Bayern München is 0.82 goals better than Borussia Dortmund in terms of goals scored per game (2.91 vs 2.09).
🛡️ Defense
Conceded / game · lower better
Bayern München
0.94
FC St. Pauli
1.21
FSV Mainz 05
1.26
Bayer Leverkusen
1.26
Eintracht Frankfurt
1.35
RB Leipzig
1.41
Union Berlin
1.47
FC Augsburg
1.50
Borussia Dortmund
1.50
VfB Stuttgart
1.56
SC Freiburg
1.56
VfL Wolfsburg
1.59
Borussia Mönchengladbach
1.68
Werder Bremen
1.68
1. FC Heidenheim
1.86
SV Elversberg
2.00
VfL Bochum
2.00
1899 Hoffenheim
2.00
Holstein Kiel
2.35
Bayern München is 0.56 goals better than Borussia Dortmund in terms of goals conceded per game (0.94 vs 1.50).
⏱️ Possession
Avg possession %
Bayern München
68%
Bayer Leverkusen
59%
Borussia Dortmund
59%
VfB Stuttgart
58%
SV Elversberg
55%
RB Leipzig
52%
FSV Mainz 05
50%
Werder Bremen
50%
Eintracht Frankfurt
50%
Borussia Mönchengladbach
50%
SC Freiburg
49%
1899 Hoffenheim
49%
VfL Wolfsburg
46%
VfL Bochum
45%
FC St. Pauli
44%
FC Augsburg
44%
Holstein Kiel
44%
1. FC Heidenheim
43%
Union Berlin
40%
Bayern München is 9.1 percentage points better than Borussia Dortmund in terms of average possession (68% vs 59%).
🎲 4. Props Analysis
Bayern München
For 6.5 · Against 3.2 · Total 9.7
🚩 Corners
ForAgainstTotal per gameAverage total
For 1.9 · Against 3.3 · Total 5.2
🟨 Cards
ForAgainstTotal per gameAverage total
For 9.4 · Against 10.9 · Total 20.3
⚠️ Fouls
ForAgainstTotal per gameAverage total
Borussia Dortmund
For 6.0 · Against 3.4 · Total 9.4
🚩 Corners
ForAgainstTotal per gameAverage total
For 1.8 · Against 1.3 · Total 3.1
🟨 Cards
ForAgainstTotal per gameAverage total
For 10.7 · Against 9.1 · Total 19.8
⚠️ Fouls
ForAgainstTotal per gameAverage total
Bayern München
Split
Corners
Cards
Fouls
Tot
Hme
Awy
Tot
Hme
Awy
Tot
Hme
Awy
Overall (50)
9.4
8.8
10.0
3.5
3.4
3.7
19.0
17.9
20.3
vs Stronger (0)
-
-
-
-
-
-
-
-
-
vs Similar (7)
9.6
9.0
11.0
4.0
5.0
1.5
20.6
20.2
21.5
vs Weaker (43)
9.3
8.7
10.0
3.5
3.0
3.9
18.8
17.3
20.2
% over line
48%
42%
54%
48%
38%
58%
28%
19%
38%
% under line
52%
58%
46%
52%
62%
42%
72%
81%
62%
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)
10.0
9.6
10.3
4.1
3.8
4.3
20.5
19.5
21.5
vs Stronger (7)
10.7
8.5
13.7
3.4
4.2
2.3
18.0
18.5
17.3
vs Similar (14)
9.0
7.5
11.0
3.7
3.8
3.7
20.9
20.2
21.7
vs Weaker (29)
10.2
11.1
9.4
4.4
3.7
5.0
20.9
19.4
22.2
% over line
54%
46%
62%
56%
50%
62%
40%
27%
54%
% under line
46%
54%
38%
44%
50%
38%
60%
73%
46%
This opponent (Bayern München) is Stronger. The matching ‘vs’ row is the one to weigh.
🚩 Total Corners
Match total corners / game
SV Elversberg
10.7
VfL Bochum
10.7
1899 Hoffenheim
10.7
Holstein Kiel
10.6
RB Leipzig
10.1
VfB Stuttgart
10.1
FSV Mainz 05
10.0
Borussia Dortmund
10.0
FC Augsburg
9.9
Borussia Mönchengladbach
9.8
Eintracht Frankfurt
9.8
Union Berlin
9.8
VfL Wolfsburg
9.7
FC St. Pauli
9.6
Werder Bremen
9.5
Bayer Leverkusen
9.5
1. FC Heidenheim
9.4
Bayern München
9.4
SC Freiburg
8.7
🟨 Total Cards
Match total cards / game
FSV Mainz 05
5.1
VfB Stuttgart
5.1
Werder Bremen
5.0
VfL Wolfsburg
4.8
Holstein Kiel
4.7
SV Elversberg
4.5
1. FC Heidenheim
4.5
Bayer Leverkusen
4.5
RB Leipzig
4.4
Union Berlin
4.4
VfL Bochum
4.2
FC Augsburg
4.1
Borussia Dortmund
4.1
Borussia Mönchengladbach
3.9
SC Freiburg
3.9
1899 Hoffenheim
3.8
Bayern München
3.8
FC St. Pauli
3.8
Eintracht Frankfurt
3.7
⚠️ Total Fouls
Match total fouls / game
VfL Bochum
24.3
1. FC Heidenheim
24.2
FSV Mainz 05
23.8
VfL Wolfsburg
23.2
VfB Stuttgart
22.9
FC Augsburg
22.6
Werder Bremen
22.4
Union Berlin
22.3
SV Elversberg
22.2
Holstein Kiel
22.2
1899 Hoffenheim
21.9
RB Leipzig
21.3
Borussia Mönchengladbach
21.2
Borussia Dortmund
20.5
Bayer Leverkusen
20.4
FC St. Pauli
20.1
SC Freiburg
20.1
Eintracht Frankfurt
19.5
Bayern München
19.0
Corners O/U 9.5Actual: Over
Over 9.5
49.6%
Under 9.5
50.4%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Cards O/U 3.5
Over 3.5
54.6%
Under 3.5
45.4%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Fouls O/U 21.5Actual: Under
Over 21.5
30.3%
Under 21.5
69.7%
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
1.2
Avg scored
0.7
Avg conceded
0.5
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.90
0.40
1.18
0.29
0.54
0.54
vs Stronger (0)
-
-
-
-
-
-
vs Similar (3)
0.33
0.33
0.33
0.33
-
-
vs Weaker (27)
0.96
0.41
1.36
0.29
0.54
0.54
Clean sheet %
63% (+40pp 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
1.0
Avg scored
0.6
Avg conceded
0.4
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.70
0.53
0.87
0.33
0.53
0.73
vs Stronger (3)
0.33
0.33
0.50
0.00
0.00
1.00
vs Similar (9)
0.67
0.67
1.00
0.80
0.25
0.50
vs Weaker (18)
0.78
0.50
0.88
0.12
0.70
0.80
Clean sheet %
67% (+43pp vs league)
This opponent (Bayern München) is Stronger. The matching ‘vs’ row is the one to weigh.
Half Time Over/Under 0.5Actual: Under
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: 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 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
2.2
Avg scored
1.6
Avg conceded
0.6
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.47
0.57
1.71
0.71
1.15
0.38
vs Stronger (0)
-
-
-
-
-
-
vs Similar (3)
0.67
0.33
0.67
0.33
-
-
vs Weaker (27)
1.56
0.59
1.93
0.79
1.15
0.38
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
1.9
Avg scored
1.2
Avg conceded
0.7
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.07
0.83
1.07
0.80
1.07
0.87
vs Stronger (3)
0.67
2.33
1.00
2.00
0.00
3.00
vs Similar (9)
1.11
0.33
0.60
0.40
1.75
0.25
vs Weaker (18)
1.11
0.83
1.38
0.75
0.90
0.90
Clean sheet %
40% (+16pp 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: Over
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: 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 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: 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 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
Under 25.5 fouls
91.4%
-
-
-
-
-
-
-
✓ Hit
Over 1.5
89.8%
-
-
-
-
-
-
-
✓ Hit
Under 23.5 fouls
82.8%
-
-
-
-
-
-
-
✓ Hit
Under 5.5 cards
80.1%
-
-
-
-
-
-
-
-
Over 2.5 cards
74.6%
-
-
-
-
-
-
-
-
Under 11.5 corners
73.7%
-
-
-
-
-
-
-
✓ Hit
Over 2.5
72.8%
1.38
-
-
-
-
-
+4.4%
✓ 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 Kane54%
Jamal Musiala38%
Michael Olise28%
Leroy Sané24%
Kingsley Coman17%
Serge Gnabry17%
Hiroki Itō12%
Raphaël Guerreiro12%
Thomas Müller11%
Eric Dier11%
Leon Goretzka10%
Alphonso Davies10%
Konrad Laimer7%
Min-jae Kim7%
Dayot Upamecano6%
Joshua Kimmich6%
Aleksandar Pavlović4%
Manuel Neuer0%
Sacha Boey0%
João Palhinha0%
Josip Stanišić0%
Daniel Peretz0%
Jonas Urbig0%
Mathys Tel0%
Gabriel Vidović0%
Arijon Ibrahimović0%
Adam Aznou0%
To be booked (yellow)
Matches in which the player was booked
Dayot Upamecano24%
Konrad Laimer24%
Daniel Peretz20%
Leon Goretzka18%
Harry Kane13%
Hiroki Itō12%
Joshua Kimmich10%
Jamal Musiala10%
Min-jae Kim9%
Thomas Müller9%
Leroy Sané9%
João Palhinha8%
Michael Olise8%
Eric Dier7%
Aleksandar Pavlović7%
Raphaël Guerreiro6%
Sacha Boey6%
Kingsley Coman5%
Serge Gnabry5%
Manuel Neuer0%
Alphonso Davies0%
Josip Stanišić0%
Jonas Urbig0%
Mathys Tel0%
Gabriel Vidović0%
Arijon Ibrahimović0%
Adam Aznou0%
Anytime assist
Matches in which the player assisted
Michael Olise32%
Harry Kane22%
Joshua Kimmich20%
Serge Gnabry19%
Thomas Müller14%
Sacha Boey12%
Leroy Sané11%
Jamal Musiala10%
Kingsley Coman10%
Alphonso Davies10%
Josip Stanišić10%
Raphaël Guerreiro9%
Konrad Laimer7%
Mathys Tel7%
Leon Goretzka5%
Eric Dier4%
Manuel Neuer0%
Dayot Upamecano0%
Min-jae Kim0%
Hiroki Itō0%
João Palhinha0%
Daniel Peretz0%
Jonas Urbig0%
Gabriel Vidović0%
Arijon Ibrahimović0%
Aleksandar Pavlović0%
Adam Aznou0%
Over 2.5 shots
Matches with 3+ shots taken
Harry Kane48%
Jamal Musiala32%
Michael Olise22%
Leroy Sané20%
Serge Gnabry14%
Leon Goretzka12%
Kingsley Coman10%
Thomas Müller9%
Mathys Tel7%
Joshua Kimmich4%
Raphaël Guerreiro3%
Eric Dier0%
Manuel Neuer0%
Alphonso Davies0%
Dayot Upamecano0%
Konrad Laimer0%
Sacha Boey0%
Min-jae Kim0%
Hiroki Itō0%
João Palhinha0%
Josip Stanišić0%
Daniel Peretz0%
Jonas Urbig0%
Gabriel Vidović0%
Arijon Ibrahimović0%
Aleksandar Pavlović0%
Adam Aznou0%
Borussia Dortmund
Anytime goalscorer
Matches in which the player scored
Serhou Guirassy53%
Donyell Malen24%
Karim Adeyemi22%
Jamie Gittens21%
Maximilian Beier19%
Felix Nmecha14%
Emre Can13%
Julian Brandt13%
Waldemar Anton8%
Giovanni Reyna8%
Carney Chukwuemeka8%
Ramy Bensebaini7%
Daniel Svensson6%
Julian Ryerson5%
Julien Duranville5%
Marcel Sabitzer3%
Pascal Groß2%
Niklas Süle0%
Salih Özcan0%
Gregor Kobel0%
Nico Schlotterbeck0%
Alexander Meyer0%
Yan Couto0%
Yannik Lührs0%
Cole Campbell0%
Almugera Kabar0%
To be booked (yellow)
Matches in which the player was booked
Ramy Bensebaini25%
Yan Couto23%
Nico Schlotterbeck22%
Almugera Kabar20%
Pascal Groß18%
Felix Nmecha17%
Karim Adeyemi17%
Julian Ryerson17%
Julien Duranville14%
Waldemar Anton14%
Serhou Guirassy13%
Marcel Sabitzer13%
Giovanni Reyna12%
Emre Can11%
Jamie Gittens10%
Donyell Malen10%
Maximilian Beier9%
Carney Chukwuemeka8%
Niklas Süle5%
Julian Brandt2%
Gregor Kobel2%
Salih Özcan0%
Alexander Meyer0%
Daniel Svensson0%
Yannik Lührs0%
Cole Campbell0%
Anytime assist
Matches in which the player assisted
Julian Brandt29%
Pascal Groß20%
Karim Adeyemi17%
Ramy Bensebaini14%
Serhou Guirassy13%
Daniel Svensson12%
Nico Schlotterbeck11%
Maximilian Beier9%
Julian Ryerson7%
Jamie Gittens6%
Felix Nmecha6%
Waldemar Anton5%
Donyell Malen5%
Giovanni Reyna4%
Yan Couto3%
Emre Can2%
Niklas Süle0%
Marcel Sabitzer0%
Salih Özcan0%
Gregor Kobel0%
Alexander Meyer0%
Carney Chukwuemeka0%
Yannik Lührs0%
Cole Campbell0%
Julien Duranville0%
Almugera Kabar0%
Over 2.5 shots
Matches with 3+ shots taken
Serhou Guirassy38%
Karim Adeyemi17%
Jamie Gittens15%
Maximilian Beier14%
Marcel Sabitzer10%
Julian Brandt9%
Donyell Malen5%
Felix Nmecha3%
Nico Schlotterbeck3%
Julian Ryerson2%
Ramy Bensebaini2%
Emre Can2%
Pascal Groß2%
Niklas Süle0%
Salih Özcan0%
Gregor Kobel0%
Waldemar Anton0%
Alexander Meyer0%
Carney Chukwuemeka0%
Giovanni Reyna0%
Yan Couto0%
Daniel Svensson0%
Yannik Lührs0%
Cole Campbell0%
Julien Duranville0%
Almugera Kabar0%
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
BM (29)
€129m
UB (29)
€123m
WB (33)
€119m
SE (27)
€52m
FSP (27)
€46m
HK (32)
€34m
1FH (26)
€33m
VB (24)
€19m
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
FA (12)
€64m
BM (11)
€58m
VW (10)
€56m
WB (13)
€50m
FM0 (11)
€49m
UB (10)
€46m
SE (12)
€33m
1FH (11)
€15m
HK (12)
€12m
FSP (7)
€10m
VB (9)
€6m
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
VW (8)
€32m
WB (5)
€28m
UB (6)
€26m
FA (6)
€23m
BM (5)
€22m
FSP (8)
€15m
HK (5)
€7m
1FH (4)
€7m
VB (4)
€5m
SE (3)
€4m
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
WB (15)
€41m
FSP (12)
€21m
HK (15)
€16m
SE (12)
€14m
1FH (11)
€12m
VB (11)
€8m
Bayern München's defence is €122m more valuable than Borussia Dortmund's (€336m vs €214m).
Germany: Bundesliga 2024/25 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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Bayer Leverkusen
Eintracht Frankfurt
SC Freiburg
FSV Mainz 05
RB Leipzig
Werder Bremen
VfB Stuttgart
Borussia Mönchengladbach
VfL Wolfsburg
FC Augsburg
Union Berlin
1. FC Heidenheim
FC St. Pauli
1899 Hoffenheim
Holstein Kiel
VfL Bochum
SV Elversberg