Attack Tempo
1.7
Goals scored per match
Defensive Control
38.6%
Clean sheet rate
Match Shape
26.3%
Draw share (BTTS 47.4%)
Over three seasons, Napoli under Antonio Conte (from 2024-07-01) show a balanced profile: roughly 1.7 goals for per game and 0.9 against, indicating a sturdy defensive base paired with controlled attacking efforts. The BTTS rate sits near 47.4% and clean sheets at 38.6%, suggesting a tendency for solid margins with occasional defensive resilience. Draws account for 26.3% of results. Sample size is limited, so the edge carries substantial variance.
Attack Tempo
1.2
Goals scored per match
Defensive Control
15.8%
Clean sheet rate
Match Shape
28.9%
Draw share (BTTS 65.8%)
Parma, under Carlos Antón Cuesta since 2025, posts 1.2 goals for and 1.7 against per game, implying a balance. The BTTS rate at 65.8% and 15.8% clean sheets point to open matches with limited defensive reliability, while draws at 28.9% suggest a tendency to settle. With three seasons analyzed, variance warns that signals are tentative until a larger sample confirms the pattern.
Attack Tempo
1.3
Goals scored per match
Defensive Control
18.4%
Clean sheet rate
Match Shape
26.3%
Draw share (BTTS 60.5%)
Como, in Serie A, under manager Cesc Fàbregas since July 19, 2024, shows a modest goal output (1.3 per game) paired with a similar concession rate (1.4). The high BTTS rate (60.5%) and low clean sheets (18.4%) point to an open, transition-prone approach despite one-season data. Draws are 26.3%. Given sample size is one, conclusions carry variance; expect fluctuations in defensive solidity and attacking balance.
Attack Tempo
2.1
Goals scored per match
Defensive Control
43.9%
Clean sheet rate
Match Shape
16.7%
Draw share (BTTS 46.5%)
Inter, under Cristian Eugen Chivu since 9 June 2025, shows a balance between attack and defense across three seasons. Goals for per match at 2.1 and goals against per match at 0.9 suggest an aggressive yet compact approach. BTTS 46.5% and a clean sheet rate of 43.9% indicate attacking intent paired with defensive reliability. Draws at 16.7% imply a tendency toward decisive results, though the three-season sample carries variance.
Attack Tempo
1.0
Goals scored per match
Defensive Control
26.3%
Clean sheet rate
Match Shape
36.8%
Draw share (BTTS 49.1%)
Genoa, in Serie A under Daniele De Rossi since 2025-11-06, shows a balanced attack and defense. They concede 1.4 goals per game, indicating a modest defensive footprint. BTTS is 49.1% of matches. Clean sheets are 26.3%. Draws account for 36.8% of results. With three seasons analyzed, there is uncertainty due to sample size and variance.
Attack Tempo
0.9
Goals scored per match
Defensive Control
15.8%
Clean sheet rate
Match Shape
31.6%
Draw share (BTTS 55.3%)
Under Davide Nicola, Cremonese’s profile with one season analyzed shows limited scoring (0.9 goals per match) and a higher concession rate (1.8 per match). The data imply a tendency toward both teams scoring (55.3%), with clean sheets rarely achieved (15.8%). Draws are common (31.6%), suggesting a tendency toward tight, balance-driven outcomes. With only one season analyzed, the sample size is limited, so signals should be treated with caution.
Attack Tempo
0.8
Goals scored per match
Defensive Control
19.3%
Clean sheet rate
Match Shape
31.6%
Draw share (BTTS 45.6%)
Under Eusebio Di Francesco since 2025-06-26, Lecce shows a low scoring profile: 0.8 goals for per match and 1.4 against. The defense concedes more than it scores. Clean sheets occur in 19.3% of matches. The draw rate is 31.6%. BTTS stands at 45.6%, suggesting frequent both-sides scoring. With only three seasons in the sample, these signals carry variance.
Attack Tempo
1.4
Goals scored per match
Defensive Control
13.2%
Clean sheet rate
Match Shape
25.4%
Draw share (BTTS 64.9%)
Under Fabio Grosso since June 3, 2024, Sassuolo have averaged 1.4 goals for and 1.8 against per match across three seasons. The BTTS rate (64.9%) and a low clean-sheet percentage (13.2%) point to an open defensive profile, with draws at 25.4% indicating contested margins. Taken together, these signals suggest a market where goals are probable and defensive solidity is limited; variance remains due to the sample size.
Attack Tempo
1.0
Goals scored per match
Defensive Control
13.2%
Clean sheet rate
Match Shape
28.9%
Draw share (BTTS 58.8%)
Under Fabio Pisacane since 2025-06-11, across three seasons, Cagliari averages 1.0 goal for and 1.7 goals against per match. BTTS occurs in 58.8% of games, clean sheets in 13.2%, and draws in 28.9%. The profile signals open matches with limited defensive solidity and a substantial share of both teams scoring. With only three seasons, the sample size invites variance; conclusions remain provisional.
Attack Tempo
1.5
Goals scored per match
Defensive Control
36.0%
Clean sheet rate
Match Shape
23.7%
Draw share (BTTS 51.8%)
Roma under Gasperini, over three seasons, shows a balanced profile: 1.5 goals for per match and 1 against suggests moderate attacking intent with a solid defensive baseline. A BTTS rate of 51.8% and 36% clean sheets indicate frequent involvement of both sides and a non-negligible chance of conceding. Draws at 23.7% signal stable results rather than high variance. With only three seasons, uncertainty remains about these signals.
Attack Tempo
1.1
Goals scored per match
Defensive Control
24.6%
Clean sheet rate
Match Shape
35.1%
Draw share (BTTS 54.4%)
Under Kosta Runjaic, Udinese's tactical profile over three seasons shows modest attack and looser defense: 1.1 goals for per match and 1.4 against. With BTTS at 54.4% and clean sheets at 24.6%, games often feature exchanges and limited defensive solidity. The draw rate sits at 35.1%, suggesting a tendency toward evenly contested matches. Given only three seasons, there is uncertainty due to sample size.
Attack Tempo
1.5
Goals scored per match
Defensive Control
47.4%
Clean sheet rate
Match Shape
31.6%
Draw share (BTTS 41.2%)
Over three seasons in Serie A, Juventus under Spalletti averages 1.5 goals for and 0.9 against per match, implying a positive expected balance. Clean sheets occur in 47.4% of matches, while BTTS lands in 41.2% and draws in 31.6%. The pattern suggests a compact defense with a modest goal intake and occasional ambition in attack. However, the sample size is limited, so observed tendencies may vary.
