This opponent (Mantova) is Similar. The matching ‘vs’ row is the one to weigh.
Mantova
Last 10 – goals for & against
Avg total
3.5
Avg scored
1.5
Avg conceded
2.0
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.16
1.48
1.17
1.17
1.15
1.77
vs Stronger (2)
0.00
2.00
0.00
3.00
0.00
1.00
vs Similar (20)
1.15
1.45
1.11
1.00
1.18
1.82
vs Weaker (3)
2.00
1.33
2.00
1.00
2.00
2.00
Clean sheet %
20% (-8pp vs league)
This opponent (Palermo) is Similar. The matching ‘vs’ row is the one to weigh.
Total goals distribution
The model estimates around 2.6 goals in this match; the single most likely total is 2 (26%).
Over/Under 1.5Actual: Over
Over 1.5
73.9%
Under 1.5
26.1%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 2.5Actual: Over
Over 2.5
47.4%
@ 1.86-3.2%
Under 2.5
52.6%
@ 1.91+3.2%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 3.5Actual: Over
Over 3.5
25.8%
Under 3.5
74.2%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Both teams to scoreActual: Yes
Yes
51.6%
No
48.4%
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
13.3%
1-0
10.6%
2-1
9.4%
2-0
9.2%
0-0
8.9%
0-1
6.6%
1-2
6.2%
3-1
4.8%
Palermo goals ↓
Mantova goals →
0
1
2
3
4
0
8.9%
6.6%
4.0%
1.4%
0.3%
1
11%
13%
6.2%
2.1%
0.5%
2
9.2%
9.4%
4.8%
1.6%
0.4%
3
4.7%
4.8%
2.5%
0.8%
0.2%
4
1.8%
1.9%
1.0%
0.3%
0.1%
Each cell is the % chance of that exact scoreline. Rows = Palermo goals (down), columns = Mantova goals (across).
💪 3. Team Strengths Analysis
🏆 Total PPG
Points / game
Sassuolo
2.16
Pisa
1.95
Spezia
1.74
Cremonese
1.62
Juve Stabia
1.49
Catanzaro
1.37
Cesena
1.36
Palermo
1.33
Bari
1.26
Sudtirol
1.21
Modena
1.18
Carrarese
1.18
Reggiana
1.16
Mantova
1.16
Brescia
1.13
Frosinone
1.13
Sampdoria
1.13
Salernitana
1.08
Cittadella
1.05
Cosenza
0.89
Palermo is 0.18 points better than Mantova in terms of average points per game (1.33 vs 1.16).
⚔️ Attack
Goals scored / game
Sassuolo
2.05
Cremonese
1.64
Pisa
1.63
Spezia
1.55
Palermo
1.33
Sudtirol
1.32
Catanzaro
1.29
Modena
1.26
Mantova
1.24
Cesena
1.18
Brescia
1.11
Reggiana
1.11
Juve Stabia
1.10
Bari
1.08
Carrarese
1.03
Sampdoria
1.03
Frosinone
0.97
Salernitana
0.95
Cosenza
0.84
Cittadella
0.82
Palermo is 0.10 goals better than Mantova in terms of goals scored per game (1.33 vs 1.24).
🛡️ Defense
Conceded / game · lower better
Spezia
0.88
Pisa
0.97
Sassuolo
1.00
Bari
1.05
Juve Stabia
1.10
Palermo
1.13
Cremonese
1.14
Catanzaro
1.20
Cesena
1.23
Salernitana
1.26
Sampdoria
1.26
Brescia
1.26
Carrarese
1.29
Frosinone
1.32
Modena
1.32
Reggiana
1.37
Cittadella
1.42
Cosenza
1.47
Mantova
1.47
Sudtirol
1.50
Palermo is 0.35 goals better than Mantova in terms of goals conceded per game (1.13 vs 1.47).
⏱️ Possession
Avg possession %
Mantova
62%
Cremonese
60%
Catanzaro
55%
Sassuolo
52%
Salernitana
52%
Juve Stabia
52%
Bari
51%
Spezia
50%
Palermo
49%
Carrarese
49%
Cosenza
49%
Cesena
49%
Modena
48%
Sampdoria
48%
Frosinone
47%
Brescia
46%
Pisa
46%
Cittadella
45%
Reggiana
44%
Sudtirol
44%
Palermo is 12.5 percentage points worse than Mantova in terms of average possession (49% vs 62%).
🎲 4. Props Analysis
Palermo
For 5.4 · Against 6.0 · Total 11.4
🚩 Corners
ForAgainstTotal per gameAverage total
For 2.6 · Against 2.2 · Total 4.8
🟨 Cards
ForAgainstTotal per gameAverage total
For 16.5 · Against 12.9 · Total 29.4
⚠️ Fouls
ForAgainstTotal per gameAverage total
Mantova
For 3.1 · Against 4.2 · Total 7.3
🚩 Corners
ForAgainstTotal per gameAverage total
For 2.7 · Against 3.3 · Total 6.0
🟨 Cards
ForAgainstTotal per gameAverage total
For 13.5 · Against 21.2 · Total 34.7
⚠️ Fouls
ForAgainstTotal per gameAverage total
Palermo
Split
Corners
Cards
Fouls
Tot
Hme
Awy
Tot
Hme
Awy
Tot
Hme
Awy
Overall (50)
10.6
10.7
10.4
4.7
4.7
4.8
28.7
29.0
28.5
vs Stronger (2)
9.0
8.0
10.0
5.5
4.0
7.0
28.5
32.0
25.0
vs Similar (36)
11.0
11.3
10.6
4.8
4.6
5.0
29.3
28.9
29.8
vs Weaker (12)
9.7
9.2
10.0
4.4
5.2
3.9
27.1
28.6
26.0
% over line
62%
64%
60%
80%
80%
80%
90%
96%
84%
% under line
38%
36%
40%
20%
20%
20%
10%
4%
16%
This opponent (Mantova) is Similar. The matching ‘vs’ row is the one to weigh.
Mantova
Split
Corners
Cards
Fouls
Tot
Hme
Awy
Tot
Hme
Awy
Tot
Hme
Awy
Overall (25)
8.3
7.7
8.8
5.7
5.7
5.8
35.1
37.2
33.2
vs Stronger (2)
7.5
6.0
9.0
3.0
3.0
3.0
27.5
30.0
25.0
vs Similar (20)
8.6
8.1
9.0
6.2
6.3
6.0
35.8
39.0
33.2
vs Weaker (3)
6.7
6.5
7.0
4.7
4.0
6.0
35.3
32.5
41.0
% over line
36%
33%
38%
88%
83%
92%
96%
100%
92%
% under line
64%
67%
62%
12%
17%
8%
4%
0%
8%
This opponent (Palermo) is Similar. The matching ‘vs’ row is the one to weigh.
🚩 Total Corners
Match total corners / game
Cosenza
10.6
Palermo
10.6
Juve Stabia
10.4
Spezia
10.0
Frosinone
9.6
Cremonese
9.5
Bari
9.5
Salernitana
9.4
Modena
9.3
Brescia
9.2
Cesena
9.2
Carrarese
9.1
Sassuolo
9.1
Catanzaro
9.1
Cittadella
9.0
Sudtirol
9.0
Sampdoria
9.0
Reggiana
8.5
Pisa
8.5
Mantova
8.3
🟨 Total Cards
Match total cards / game
Cosenza
6.5
Juve Stabia
6.1
Spezia
6.0
Reggiana
6.0
Mantova
5.7
Sampdoria
5.6
Bari
5.6
Modena
5.5
Pisa
5.3
Cremonese
5.2
Cittadella
5.2
Brescia
5.2
Sudtirol
5.0
Catanzaro
5.0
Cesena
4.8
Carrarese
4.8
Salernitana
4.8
Palermo
4.7
Frosinone
4.7
Sassuolo
4.1
⚠️ Total Fouls
Match total fouls / game
Mantova
35.1
Spezia
33.7
Juve Stabia
33.1
Reggiana
31.3
Cittadella
31.3
Sudtirol
30.7
Bari
30.5
Sampdoria
29.9
Cosenza
29.7
Brescia
29.3
Cesena
28.9
Cremonese
28.9
Modena
28.9
Palermo
28.7
Carrarese
28.7
Catanzaro
28.5
Pisa
28.0
Frosinone
27.9
Salernitana
27.2
Sassuolo
24.0
Corners O/U 9.5Actual: Over
Over 9.5
46.3%
Under 9.5
53.7%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Cards O/U 3.5Actual: Over
Over 3.5
77.6%
Under 3.5
22.4%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Fouls O/U 21.5Actual: Over
Over 21.5
97.0%
Under 21.5
3.0%
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
Palermo
Half Time · Last 10 – goals for & against
Avg total
1.2
Avg scored
0.6
Avg conceded
0.6
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.63
0.47
0.67
0.47
0.60
0.47
vs Stronger (0)
-
-
-
-
-
-
vs Similar (24)
0.71
0.42
0.73
0.36
0.69
0.46
vs Weaker (6)
0.33
0.67
0.50
0.75
0.00
0.50
Clean sheet %
60% (+32pp vs league)
This opponent (Mantova) is Similar. The matching ‘vs’ row is the one to weigh.
Mantova
Half Time · Last 10 – goals for & against
Avg total
2.0
Avg scored
0.9
Avg conceded
1.1
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.48
0.68
0.50
0.50
0.46
0.85
vs Stronger (2)
0.00
0.50
0.00
1.00
0.00
0.00
vs Similar (20)
0.45
0.70
0.44
0.56
0.45
0.82
vs Weaker (3)
1.00
0.67
1.00
0.00
1.00
2.00
Clean sheet %
56% (+28pp vs league)
This opponent (Palermo) 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.
Palermo 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.
Palermo 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.
Palermo 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.
Mantova 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.
Mantova 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.
Mantova 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
Palermo
Second Half · Last 10 – goals for & against
Avg total
1.2
Avg scored
0.5
Avg conceded
0.7
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.47
0.53
0.40
0.27
0.53
0.80
vs Stronger (0)
-
-
-
-
-
-
vs Similar (24)
0.50
0.50
0.45
0.18
0.54
0.77
vs Weaker (6)
0.33
0.67
0.25
0.50
0.50
1.00
Clean sheet %
53% (+25pp vs league)
This opponent (Mantova) is Similar. The matching ‘vs’ row is the one to weigh.
Mantova
Second Half · Last 10 – goals for & against
Avg total
1.5
Avg scored
0.6
Avg conceded
0.9
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.68
0.80
0.67
0.67
0.69
0.92
vs Stronger (2)
0.00
1.50
0.00
2.00
0.00
1.00
vs Similar (20)
0.70
0.75
0.67
0.44
0.73
1.00
vs Weaker (3)
1.00
0.67
1.00
1.00
1.00
0.00
Clean sheet %
32% (+4pp vs league)
This opponent (Palermo) 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: 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.
Palermo 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.
Palermo 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.
Palermo 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.
Mantova 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.
Mantova 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.
Mantova 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
98.9%
-
-
-
-
-
-
-
✓ Hit
Over 21.5 fouls
97.0%
-
-
-
-
-
-
-
✓ Hit
Over 23.5 fouls
93.1%
-
-
-
-
-
-
-
✓ Hit
Over 2.5 cards
89.9%
-
-
-
-
-
-
-
✓ Hit
Over 25.5 fouls
86.4%
-
-
-
-
-
-
-
✓ Hit
Over 3.5 cards
77.6%
-
-
-
-
-
-
-
✓ Hit
Under 11.5 corners
76.4%
-
-
-
-
-
-
-
✗ Miss
Under 3.5
74.2%
-
-
-
-
-
-
-
✗ Miss
Over 1.5
73.9%
-
-
-
-
-
-
-
✓ Hit
No picks at these odds - lower the slider to see shorter-priced selections.
🎽 13. Player market rates
Palermo
Anytime goalscorer
Matches in which the player scored
Joel Pohjanpalo47%
Matteo Brunori22%
Roberto Insigne19%
Jérémy Le Douaron17%
Jacopo Segre8%
Thomas Henry8%
Niccolò Pierozzi7%
Valerio Verre7%
Pietro Ceccaroni6%
Rayyan Baniya6%
Claudio Gomes6%
Francesco Di Mariano5%
Federico Di Francesco3%
Dimitris Nikolaou3%
Salim Diakité3%
Kristoffer Lund3%
Filippo Ranocchia3%
Alexis Blin0%
Emil Audero0%
Salvatore Sirigu0%
Giangiacomo Magnani0%
Dario Šarić0%
Ionuț Nedelcearu0%
Aljoša Vasić0%
Patryk Peda0%
Sebastiano Desplanches0%
Alessio Buttaro0%
Stredair Appuah0%
To be booked (yellow)
Matches in which the player was booked
Patryk Peda33%
Alexis Blin32%
Giangiacomo Magnani31%
Niccolò Pierozzi26%
Salim Diakité24%
Matteo Brunori22%
Alessio Buttaro20%
Pietro Ceccaroni19%
Valerio Verre18%
Claudio Gomes17%
Dimitris Nikolaou17%
Thomas Henry16%
Jacopo Segre14%
Kristoffer Lund11%
Federico Di Francesco10%
Dario Šarić10%
Ionuț Nedelcearu10%
Rayyan Baniya10%
Francesco Di Mariano9%
Roberto Insigne7%
Aljoša Vasić7%
Jérémy Le Douaron6%
Filippo Ranocchia5%
Sebastiano Desplanches5%
Joel Pohjanpalo0%
Emil Audero0%
Salvatore Sirigu0%
Stredair Appuah0%
Anytime assist
Matches in which the player assisted
Joel Pohjanpalo20%
Federico Di Francesco17%
Filippo Ranocchia16%
Valerio Verre11%
Alexis Blin11%
Salim Diakité6%
Jacopo Segre6%
Matteo Brunori6%
Thomas Henry4%
Roberto Insigne4%
Pietro Ceccaroni3%
Claudio Gomes3%
Jérémy Le Douaron3%
Emil Audero0%
Salvatore Sirigu0%
Giangiacomo Magnani0%
Dimitris Nikolaou0%
Dario Šarić0%
Francesco Di Mariano0%
Ionuț Nedelcearu0%
Rayyan Baniya0%
Kristoffer Lund0%
Aljoša Vasić0%
Patryk Peda0%
Sebastiano Desplanches0%
Alessio Buttaro0%
Niccolò Pierozzi0%
Stredair Appuah0%
Over 2.5 shots
Matches with 3+ shots taken
Joel Pohjanpalo40%
Jérémy Le Douaron26%
Federico Di Francesco17%
Thomas Henry12%
Roberto Insigne11%
Matteo Brunori11%
Filippo Ranocchia8%
Giangiacomo Magnani8%
Francesco Di Mariano5%
Aljoša Vasić4%
Niccolò Pierozzi4%
Valerio Verre4%
Rayyan Baniya3%
Claudio Gomes0%
Alexis Blin0%
Emil Audero0%
Salvatore Sirigu0%
Dimitris Nikolaou0%
Dario Šarić0%
Jacopo Segre0%
Pietro Ceccaroni0%
Ionuț Nedelcearu0%
Kristoffer Lund0%
Salim Diakité0%
Patryk Peda0%
Sebastiano Desplanches0%
Alessio Buttaro0%
Stredair Appuah0%
Mantova
Anytime goalscorer
Matches in which the player scored
Leonardo Mancuso23%
Davide Bragantini17%
Nicolò Radaelli15%
Alessandro Debenedetti14%
Alex Redolfi11%
Fabrizio Brignani10%
Matteo Solini9%
Francesco Ruocco9%
Mattia Aramu8%
Tommaso Maggioni7%
Francesco Galuppini6%
Simone Trimboli6%
Davis Mensah6%
Antonio Fiori6%
Salvatore Burrai4%
Sebastien De Maio0%
Marco Festa0%
Stefano Cella0%
Erik Panizzi0%
Mattia Muroni0%
Cristiano Bani0%
David Wieser0%
Federico Artioli0%
Simone Giordano0%
Flavio Paoletti0%
Giacomo Fedel0%
To be booked (yellow)
Matches in which the player was booked
Salvatore Burrai46%
Matteo Solini36%
Mattia Muroni33%
Nicolò Radaelli25%
Fabrizio Brignani24%
Stefano Cella23%
Simone Trimboli22%
Alex Redolfi21%
Erik Panizzi17%
Federico Artioli17%
Simone Giordano17%
Cristiano Bani15%
Sebastien De Maio14%
Antonio Fiori14%
Mattia Aramu12%
Davis Mensah11%
Francesco Galuppini9%
Marco Festa8%
Leonardo Mancuso8%
David Wieser7%
Davide Bragantini6%
Tommaso Maggioni3%
Alessandro Debenedetti3%
Francesco Ruocco0%
Flavio Paoletti0%
Giacomo Fedel0%
Anytime assist
Matches in which the player assisted
Davis Mensah17%
Antonio Fiori14%
Mattia Aramu12%
Salvatore Burrai11%
David Wieser10%
Nicolò Radaelli10%
Francesco Ruocco9%
Francesco Galuppini9%
Federico Artioli8%
Davide Bragantini6%
Cristiano Bani4%
Fabrizio Brignani3%
Tommaso Maggioni3%
Simone Trimboli3%
Leonardo Mancuso3%
Sebastien De Maio0%
Marco Festa0%
Stefano Cella0%
Erik Panizzi0%
Mattia Muroni0%
Alex Redolfi0%
Matteo Solini0%
Simone Giordano0%
Flavio Paoletti0%
Giacomo Fedel0%
Alessandro Debenedetti0%
Over 2.5 shots
Matches with 3+ shots taken
Leonardo Mancuso15%
Francesco Galuppini14%
Antonio Fiori8%
Mattia Aramu8%
Fabrizio Brignani7%
Simone Trimboli6%
Nicolò Radaelli5%
Stefano Cella5%
Salvatore Burrai4%
Tommaso Maggioni3%
Davide Bragantini3%
Sebastien De Maio0%
Marco Festa0%
Erik Panizzi0%
Mattia Muroni0%
Davis Mensah0%
Alex Redolfi0%
Matteo Solini0%
Cristiano Bani0%
Francesco Ruocco0%
David Wieser0%
Federico Artioli0%
Simone Giordano0%
Flavio Paoletti0%
Giacomo Fedel0%
Alessandro Debenedetti0%
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)
SAS (38)
€194m
FRO (33)
€84m
PIS (36)
€71m
PAL (27)
€54m
CRE (30)
€49m
SAM (27)
€37m
MOD (28)
€31m
CES (32)
€28m
MAN (32)
€24m
SUD (27)
€21m
CAT (30)
€21m
CAR (22)
€15m
JS (33)
€13m
SPE (34)
€11m
REG (27)
€8m
BAR (22)
€8m
Palermo's squad is €30m more valuable than Mantova's (€54m vs €24m).
⚔️ Attack
Squad value (€m) · (players with data)
SAS (12)
€90m
FRO (8)
€34m
PIS (13)
€24m
PAL (7)
€23m
SAM (7)
€14m
CRE (7)
€12m
MAN (12)
€12m
CAT (15)
€12m
CES (10)
€10m
MOD (9)
€7m
CAR (5)
€5m
SPE (10)
€3m
SUD (5)
€3m
JS (8)
€2m
BAR (6)
€2m
REG (6)
€1m
Palermo's attack is €11m more valuable than Mantova's (€23m vs €12m).
🧠 Midfield
Squad value (€m) · (players with data)
SAS (9)
€53m
FRO (11)
€27m
PIS (9)
€26m
CRE (10)
€15m
PAL (7)
€12m
MOD (9)
€11m
SUD (10)
€11m
SAM (6)
€7m
MAN (10)
€6m
CES (9)
€5m
JS (11)
€5m
SPE (11)
€4m
BAR (6)
€3m
CAR (7)
€2m
REG (9)
€2m
CAT (2)
€2m
Palermo's midfield is €6m more valuable than Mantova's (€12m vs €6m).
🛡️ Defence
Squad value (€m) · (players with data)
SAS (17)
€52m
FRO (14)
€24m
CRE (13)
€22m
PIS (14)
€22m
PAL (13)
€19m
SAM (14)
€17m
MOD (10)
€12m
CES (13)
€12m
CAT (13)
€8m
SUD (12)
€8m
CAR (10)
€8m
MAN (10)
€7m
JS (14)
€6m
REG (12)
€4m
SPE (13)
€4m
BAR (10)
€3m
Palermo's defence is €12m more valuable than Mantova's (€19m vs €7m).
Italy: Serie B 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 Italy: Serie B stats & trends →
PythiaFootballBETA
Sassuolo
Pisa
Spezia
Cremonese
Juve Stabia
Catanzaro
Cesena
Bari
Sudtirol
Modena
Carrarese
Sampdoria
Reggiana
Brescia
Frosinone
Salernitana
Cittadella
Cosenza