This opponent (Sudtirol) is Similar. The matching ‘vs’ row is the one to weigh.
Sudtirol
Last 10 – goals for & against
Avg total
2.7
Avg scored
1.2
Avg conceded
1.5
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.47
1.37
1.40
1.07
1.53
1.67
vs Stronger (3)
2.00
3.67
-
-
2.00
3.67
vs Similar (26)
1.38
1.12
1.36
1.07
1.42
1.17
vs Weaker (1)
2.00
1.00
2.00
1.00
-
-
Clean sheet %
20% (-8pp vs league)
This opponent (Padova) is Similar. The matching ‘vs’ row is the one to weigh.
Total goals distribution
The model estimates around 2.9 goals in this match; the single most likely total is 2 (24%).
Over/Under 1.5Actual: Over
Over 1.5
80.2%
Under 1.5
19.8%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 2.5Actual: Under
Over 2.5
56.1%
@ 2.24+14.8%
Under 2.5
43.9%
@ 1.58-14.8%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 3.5Actual: Under
Over 3.5
33.7%
Under 3.5
66.3%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Both teams to scoreActual: Yes
Yes
60.3%
No
39.7%
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).
1-1 ✓
12.6%
2-1
8.6%
1-2
8.2%
1-0
6.8%
0-1
6.5%
0-0
6.5%
2-2
6.1%
2-0
6.0%
Padova goals ↓
Sudtirol goals →
0
1
2
3
4
0
6.5%
6.5%
5.5%
2.6%
0.9%
1
6.8%
13%
8.2%
3.9%
1.4%
2
6.0%
8.6%
6.1%
2.9%
1.1%
3
3.0%
4.3%
3.1%
1.5%
0.5%
4
1.1%
1.6%
1.1%
0.5%
0.2%
Each cell is the % chance of that exact scoreline. Rows = Padova goals (down), columns = Sudtirol goals (across).
💪 3. Team Strengths Analysis
🏆 Total PPG
Points / game
Venezia
2.16
Frosinone
2.13
Monza
1.98
Palermo
1.88
Catanzaro
1.58
Modena
1.41
Juve Stabia
1.34
Avellino
1.26
Cesena
1.21
Padova
1.21
Mantova
1.21
Sampdoria
1.16
Carrarese
1.16
Virtus Entella
1.11
Empoli
1.08
Sudtirol
1.07
Bari
1.05
Reggiana
0.97
Spezia
0.92
Pescara
0.92
Padova is 0.14 points better than Sudtirol in terms of average points per game (1.21 vs 1.07).
⚔️ Attack
Goals scored / game
Venezia
2.03
Frosinone
2.00
Catanzaro
1.63
Monza
1.60
Palermo
1.57
Pescara
1.34
Modena
1.26
Carrarese
1.24
Empoli
1.24
Cesena
1.18
Mantova
1.18
Juve Stabia
1.17
Spezia
1.13
Avellino
1.10
Padova
1.03
Sudtirol
0.95
Bari
0.95
Virtus Entella
0.95
Reggiana
0.95
Sampdoria
0.92
Padova is 0.08 goals better than Sudtirol in terms of goals scored per game (1.03 vs 0.95).
🛡️ Defense
Conceded / game · lower better
Venezia
0.82
Monza
0.88
Frosinone
0.89
Palermo
0.90
Modena
0.95
Juve Stabia
1.20
Sudtirol
1.20
Sampdoria
1.26
Catanzaro
1.28
Padova
1.29
Virtus Entella
1.34
Carrarese
1.37
Empoli
1.42
Cesena
1.47
Reggiana
1.47
Avellino
1.49
Bari
1.50
Mantova
1.50
Spezia
1.55
Pescara
1.74
Padova is 0.09 goals worse than Sudtirol in terms of goals conceded per game (1.29 vs 1.20).
⏱️ Possession
Avg possession %
Venezia
64%
Mantova
57%
Catanzaro
54%
Juve Stabia
53%
Monza
52%
Pescara
51%
Sampdoria
51%
Carrarese
51%
Modena
50%
Avellino
50%
Cesena
50%
Frosinone
50%
Palermo
49%
Spezia
48%
Empoli
48%
Padova
48%
Virtus Entella
46%
Bari
46%
Reggiana
41%
Sudtirol
41%
Padova is 6.6 percentage points better than Sudtirol in terms of average possession (48% vs 41%).
🎲 4. Props Analysis
Padova
For 4.0 · Against 5.1 · Total 9.1
🚩 Corners
ForAgainstTotal per gameAverage total
For 2.6 · Against 2.3 · Total 4.9
🟨 Cards
ForAgainstTotal per gameAverage total
For 13.8 · Against 16.0 · Total 29.8
⚠️ Fouls
ForAgainstTotal per gameAverage total
Sudtirol
For 4.6 · Against 4.0 · Total 8.6
🚩 Corners
ForAgainstTotal per gameAverage total
For 2.1 · Against 1.5 · Total 3.6
🟨 Cards
ForAgainstTotal per gameAverage total
For 16.7 · Against 14.9 · Total 31.6
⚠️ Fouls
ForAgainstTotal per gameAverage total
Padova
Split
Corners
Cards
Fouls
Tot
Hme
Awy
Tot
Hme
Awy
Tot
Hme
Awy
Overall (46)
10.2
10.1
10.2
5.2
5.0
5.3
31.2
32.3
30.2
vs Stronger (17)
10.4
12.0
9.2
5.3
5.0
5.5
30.6
29.6
31.4
vs Similar (29)
10.1
9.2
11.0
5.1
5.1
5.1
31.6
33.5
29.4
vs Weaker (0)
-
-
-
-
-
-
-
-
-
% over line
59%
64%
54%
74%
68%
79%
93%
91%
96%
% under line
41%
36%
46%
26%
32%
21%
7%
9%
4%
This opponent (Sudtirol) is Similar. The matching ‘vs’ row is the one to weigh.
Sudtirol
Split
Corners
Cards
Fouls
Tot
Hme
Awy
Tot
Hme
Awy
Tot
Hme
Awy
Overall (50)
9.4
9.9
8.8
4.7
5.1
4.2
30.5
30.5
30.6
vs Stronger (6)
7.3
6.5
7.8
4.0
3.0
4.5
25.3
25.0
25.5
vs Similar (42)
9.6
10.1
9.1
4.6
5.0
4.2
31.2
30.7
31.8
vs Weaker (2)
10.5
13.0
8.0
7.5
11.0
4.0
32.0
37.0
27.0
% over line
42%
52%
32%
68%
76%
60%
92%
92%
92%
% under line
58%
48%
68%
32%
24%
40%
8%
8%
8%
This opponent (Padova) is Similar. The matching ‘vs’ row is the one to weigh.
🚩 Total Corners
Match total corners / game
Palermo
10.3
Padova
10.2
Virtus Entella
9.9
Avellino
9.6
Empoli
9.5
Carrarese
9.5
Venezia
9.5
Sudtirol
9.4
Pescara
9.4
Frosinone
9.3
Juve Stabia
9.2
Bari
9.1
Spezia
9.0
Mantova
8.9
Sampdoria
8.8
Catanzaro
8.8
Modena
8.6
Monza
8.5
Reggiana
8.4
Cesena
8.3
🟨 Total Cards
Match total cards / game
Spezia
5.8
Reggiana
5.6
Mantova
5.4
Sampdoria
5.4
Carrarese
5.3
Juve Stabia
5.3
Bari
5.2
Padova
5.2
Modena
5.1
Cesena
5.1
Pescara
4.9
Virtus Entella
4.8
Catanzaro
4.8
Frosinone
4.8
Sudtirol
4.7
Palermo
4.6
Avellino
4.4
Monza
4.2
Empoli
4.2
Venezia
4.2
⚠️ Total Fouls
Match total fouls / game
Spezia
34.8
Mantova
34.7
Juve Stabia
33.9
Avellino
32.4
Frosinone
31.5
Padova
31.2
Virtus Entella
31.0
Reggiana
30.9
Sampdoria
30.8
Sudtirol
30.5
Bari
30.3
Pescara
30.1
Cesena
29.5
Palermo
29.5
Catanzaro
29.3
Empoli
28.8
Carrarese
28.7
Modena
28.5
Monza
28.5
Venezia
27.5
Corners O/U 9.5Actual: Under
Over 9.5
34.4%
Under 9.5
65.6%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Cards O/U 3.5Actual: Over
Over 3.5
62.6%
Under 3.5
37.4%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Fouls O/U 21.5Actual: Over
Over 21.5
95.0%
Under 21.5
5.0%
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
Padova
Half Time · Last 10 – goals for & against
Avg total
1.3
Avg scored
0.5
Avg conceded
0.8
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.43
0.60
0.40
0.60
0.47
0.60
vs Stronger (11)
0.55
0.55
0.67
0.33
0.50
0.62
vs Similar (19)
0.37
0.63
0.33
0.67
0.43
0.57
vs Weaker (0)
-
-
-
-
-
-
Clean sheet %
50% (+22pp vs league)
This opponent (Sudtirol) is Similar. The matching ‘vs’ row is the one to weigh.
Sudtirol
Half Time · Last 10 – goals for & against
Avg total
1.4
Avg scored
0.8
Avg conceded
0.6
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.73
0.60
0.93
0.53
0.53
0.67
vs Stronger (3)
1.33
1.33
-
-
1.33
1.33
vs Similar (26)
0.65
0.50
0.93
0.50
0.33
0.50
vs Weaker (1)
1.00
1.00
1.00
1.00
-
-
Clean sheet %
50% (+22pp vs league)
This opponent (Padova) is Similar. 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.
Padova 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.
Padova 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.
Padova 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.
Sudtirol 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.
Sudtirol 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.
Sudtirol 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
Padova
Second Half · 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
0.57
0.47
0.60
0.33
0.53
0.60
vs Stronger (11)
0.64
0.27
1.00
0.33
0.50
0.25
vs Similar (19)
0.53
0.58
0.50
0.33
0.57
1.00
vs Weaker (0)
-
-
-
-
-
-
Clean sheet %
60% (+32pp vs league)
This opponent (Sudtirol) is Similar. The matching ‘vs’ row is the one to weigh.
Sudtirol
Second Half · Last 10 – goals for & against
Avg total
1.3
Avg scored
0.4
Avg conceded
0.9
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.73
0.77
0.47
0.53
1.00
1.00
vs Stronger (3)
0.67
2.33
-
-
0.67
2.33
vs Similar (26)
0.73
0.62
0.43
0.57
1.08
0.67
vs Weaker (1)
1.00
0.00
1.00
0.00
-
-
Clean sheet %
47% (+18pp vs league)
This opponent (Padova) is Similar. 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: 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.
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.
Padova 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.
Padova 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.
Padova 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.
Sudtirol over/under 0.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Sudtirol 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.
Sudtirol 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 19.5 fouls
98.0%
-
-
-
-
-
-
-
✓ Hit
Over 21.5 fouls
95.0%
-
-
-
-
-
-
-
✓ Hit
Over 23.5 fouls
89.3%
-
-
-
-
-
-
-
✓ Hit
Under 11.5 corners
85.1%
-
-
-
-
-
-
-
✓ Hit
Over 2.5 cards
80.5%
-
-
-
-
-
-
-
✓ Hit
Over 25.5 fouls
80.3%
-
-
-
-
-
-
-
✓ Hit
Over 1.5
80.2%
-
-
-
-
-
-
-
✓ Hit
Under 10.5 corners
76.6%
-
-
-
-
-
-
-
✓ Hit
Under 5.5 cards
73.3%
-
-
-
-
-
-
-
✗ Miss
No picks at these odds - lower the slider to see shorter-priced selections.
🎽 13. Player market rates
Padova
Anytime goalscorer
Matches in which the player scored
Mattia Bortolussi28%
Kevin Lasagna24%
Alessandro Seghetti17%
Filippo Sgarbi14%
Christian Pastina10%
Gianluca Caprari9%
Luca Di Maggio7%
Francesco Di Mariano7%
Carlo Faedo6%
Kevin Varas Marcillo6%
Alessandro Capelli6%
Jonas Harder4%
Cristian Buonaiuto4%
Marco Perrotta3%
Pietro Fusi3%
Antonio Barreca0%
Papu Gómez0%
Daniele Baselli0%
Francesco Belli0%
Lorenzo Crisetig0%
Paolo Ghiglione0%
Giulio Favale0%
Alessandro Sorrentino0%
Mattia Fortin0%
Lorenzo Villa0%
Giovanni Giunti0%
Jonathan Silva0%
To be booked (yellow)
Matches in which the player was booked
Marco Perrotta40%
Pietro Fusi38%
Daniele Baselli38%
Antonio Barreca30%
Christian Pastina30%
Lorenzo Villa25%
Giovanni Giunti25%
Jonas Harder23%
Lorenzo Crisetig20%
Francesco Di Mariano20%
Carlo Faedo19%
Mattia Fortin14%
Francesco Belli14%
Papu Gómez11%
Paolo Ghiglione11%
Kevin Varas Marcillo11%
Alessandro Capelli11%
Luca Di Maggio11%
Filippo Sgarbi10%
Giulio Favale9%
Cristian Buonaiuto7%
Jonathan Silva6%
Alessandro Seghetti6%
Alessandro Sorrentino4%
Mattia Bortolussi3%
Gianluca Caprari0%
Kevin Lasagna0%
Anytime assist
Matches in which the player assisted
Alessandro Capelli17%
Cristian Buonaiuto11%
Kevin Varas Marcillo11%
Gianluca Caprari9%
Pietro Fusi9%
Francesco Di Mariano7%
Paolo Ghiglione6%
Giulio Favale5%
Antonio Barreca4%
Lorenzo Crisetig4%
Kevin Lasagna4%
Mattia Bortolussi3%
Papu Gómez0%
Daniele Baselli0%
Francesco Belli0%
Filippo Sgarbi0%
Marco Perrotta0%
Christian Pastina0%
Alessandro Sorrentino0%
Mattia Fortin0%
Carlo Faedo0%
Luca Di Maggio0%
Lorenzo Villa0%
Giovanni Giunti0%
Jonathan Silva0%
Jonas Harder0%
Alessandro Seghetti0%
Over 2.5 shots
Matches with 3+ shots taken
Papu Gómez33%
Kevin Lasagna20%
Mattia Bortolussi16%
Kevin Varas Marcillo8%
Cristian Buonaiuto7%
Francesco Di Mariano7%
Jonathan Silva6%
Alessandro Seghetti6%
Luca Di Maggio4%
Pietro Fusi3%
Alessandro Capelli3%
Antonio Barreca0%
Gianluca Caprari0%
Daniele Baselli0%
Francesco Belli0%
Lorenzo Crisetig0%
Paolo Ghiglione0%
Filippo Sgarbi0%
Marco Perrotta0%
Giulio Favale0%
Christian Pastina0%
Alessandro Sorrentino0%
Mattia Fortin0%
Carlo Faedo0%
Lorenzo Villa0%
Giovanni Giunti0%
Jonas Harder0%
Sudtirol
Anytime goalscorer
Matches in which the player scored
Emanuele Pecorino25%
Silvio Merkaj24%
Daniele Casiraghi15%
Raphael Kofler10%
Raphael Odogwu9%
Jacopo Martini8%
Mamadou Coulibaly7%
Nicola Pietrangeli6%
Domen Črnigoj5%
Karim Zedadka3%
Hamza El Kaouakibi3%
Fabien Tait3%
Simone Tronchin3%
Simone Verdi0%
Andrea Masiello0%
Alessandro Mallamo0%
Giacomo Poluzzi0%
Salvatore Molina0%
Frédéric Veseli0%
Marius Adamonis0%
Simone Davì0%
Jonathan Ngock Italeng0%
Riccardo Tonin0%
Marco Romano Frigerio0%
Federico Davi0%
Filipe Bordon0%
Dhirar Brik0%
Davide Mancini0%
To be booked (yellow)
Matches in which the player was booked
Filipe Bordon38%
Davide Mancini25%
Simone Davì22%
Simone Tronchin22%
Silvio Merkaj21%
Raphael Kofler21%
Karim Zedadka20%
Simone Verdi18%
Alessandro Mallamo18%
Andrea Masiello18%
Federico Davi15%
Mamadou Coulibaly14%
Jonathan Ngock Italeng14%
Emanuele Pecorino14%
Frédéric Veseli14%
Jacopo Martini12%
Hamza El Kaouakibi12%
Salvatore Molina11%
Marius Adamonis11%
Marco Romano Frigerio10%
Riccardo Tonin9%
Nicola Pietrangeli6%
Fabien Tait5%
Domen Črnigoj5%
Raphael Odogwu3%
Daniele Casiraghi3%
Giacomo Poluzzi0%
Dhirar Brik0%
Anytime assist
Matches in which the player assisted
Daniele Casiraghi18%
Jonathan Ngock Italeng14%
Salvatore Molina11%
Mamadou Coulibaly7%
Simone Davì6%
Hamza El Kaouakibi6%
Marco Romano Frigerio5%
Jacopo Martini4%
Frédéric Veseli3%
Karim Zedadka3%
Raphael Odogwu3%
Silvio Merkaj3%
Simone Verdi0%
Andrea Masiello0%
Alessandro Mallamo0%
Giacomo Poluzzi0%
Emanuele Pecorino0%
Fabien Tait0%
Marius Adamonis0%
Domen Črnigoj0%
Nicola Pietrangeli0%
Riccardo Tonin0%
Simone Tronchin0%
Raphael Kofler0%
Federico Davi0%
Filipe Bordon0%
Dhirar Brik0%
Davide Mancini0%
Over 2.5 shots
Matches with 3+ shots taken
Silvio Merkaj16%
Daniele Casiraghi15%
Emanuele Pecorino14%
Marco Romano Frigerio10%
Simone Davì9%
Alessandro Mallamo9%
Raphael Odogwu6%
Nicola Pietrangeli6%
Hamza El Kaouakibi3%
Simone Tronchin3%
Karim Zedadka0%
Simone Verdi0%
Andrea Masiello0%
Giacomo Poluzzi0%
Salvatore Molina0%
Frédéric Veseli0%
Fabien Tait0%
Mamadou Coulibaly0%
Marius Adamonis0%
Domen Črnigoj0%
Jonathan Ngock Italeng0%
Riccardo Tonin0%
Jacopo Martini0%
Raphael Kofler0%
Federico Davi0%
Filipe Bordon0%
Dhirar Brik0%
Davide Mancini0%
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)
VEN (36)
€117m
FRO (33)
€84m
MON (29)
€70m
PAL (27)
€54m
SAM (27)
€37m
MOD (28)
€31m
CES (32)
€28m
AVE (27)
€26m
PAD (31)
€25m
MAN (32)
€24m
SUD (27)
€21m
CAT (30)
€21m
EMP (27)
€20m
CAR (22)
€15m
JS (33)
€13m
SPE (34)
€11m
VE (27)
€11m
PES (27)
€8m
REG (27)
€8m
BAR (22)
€8m
Padova's squad is €4m more valuable than Sudtirol's (€25m vs €21m).
⚔️ Attack
Squad value (€m) · (players with data)
VEN (9)
€39m
FRO (8)
€34m
MON (11)
€26m
PAL (7)
€23m
SAM (7)
€14m
MAN (12)
€12m
CAT (15)
€12m
EMP (9)
€11m
CES (10)
€10m
MOD (9)
€7m
PAD (9)
€6m
AVE (10)
€6m
CAR (5)
€5m
PES (10)
€4m
SPE (10)
€3m
VE (7)
€3m
SUD (5)
€3m
JS (8)
€2m
BAR (6)
€2m
REG (6)
€1m
Padova's attack is €4m more valuable than Sudtirol's (€6m vs €3m).
🧠 Midfield
Squad value (€m) · (players with data)
VEN (11)
€31m
FRO (11)
€27m
MON (7)
€24m
PAL (7)
€12m
MOD (9)
€11m
SUD (10)
€11m
AVE (6)
€9m
SAM (6)
€7m
PAD (9)
€7m
MAN (10)
€6m
VE (11)
€6m
EMP (9)
€6m
CES (9)
€5m
JS (11)
€5m
SPE (11)
€4m
BAR (6)
€3m
CAR (7)
€2m
REG (9)
€2m
CAT (2)
€2m
PES (6)
€1m
Padova's midfield is €4m less valuable than Sudtirol's (€7m vs €11m).
🛡️ Defence
Squad value (€m) · (players with data)
VEN (16)
€47m
FRO (14)
€24m
MON (11)
€20m
PAL (13)
€19m
SAM (14)
€17m
MOD (10)
€12m
CES (13)
€12m
PAD (13)
€12m
AVE (11)
€11m
CAT (13)
€8m
SUD (12)
€8m
CAR (10)
€8m
MAN (10)
€7m
JS (14)
€6m
REG (12)
€4m
EMP (9)
€4m
SPE (13)
€4m
PES (11)
€3m
BAR (10)
€3m
VE (9)
€2m
Padova's defence is €4m more valuable than Sudtirol's (€12m vs €8m).
Italy: Serie B 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 Italy: Serie B stats & trends →
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Monza
Venezia
Frosinone
Palermo
Catanzaro
Modena
Juve Stabia
Avellino
Cesena
Mantova
Carrarese
Sampdoria
Virtus Entella
Bari
Empoli
Reggiana
Pescara
Spezia