Attack Tempo
1.0
Goals scored per match
Defensive Control
34.2%
Clean sheet rate
Match Shape
34.2%
Draw share (BTTS 43.0%)
From three seasons since Marco Baroni took charge at Torino, the profile shows analysis-driven, balanced containment-oriented approach, tending toward a conservative defense. Goals for hover near 1 per match and goals against around 1.1, with BTTS at 43% and clean sheets at 34.2% signaling a defense that tolerates opposition chances. Draws at 34.2% imply a risk-averse edge in front of goal. Given three seasons, there remains uncertainty in the signal and probability of longer-term tactics.
Attack Tempo
1.8
Goals scored per match
Defensive Control
33.3%
Clean sheet rate
Match Shape
24.6%
Draw share (BTTS 59.7%)
Under Massimiliano Allegri since 2025-07-01, AC Milan shows a modest but steady attacking output and solid defense. Goals for are 1.8 per match against 1.2, implying a +0.6 goal difference. The side features a high BTTS rate (59.7%) and keeps clean sheets in about one third of games. Draws comprise roughly a quarter of outcomes. With only three seasons, these signals carry variance and should be treated cautiously.
Attack Tempo
1.5
Goals scored per match
Defensive Control
37.7%
Clean sheet rate
Match Shape
22.8%
Draw share (BTTS 49.1%)
Across three seasons under Maurizio Sarri, Lazio averages 1.5 goals for and 1.0 against per match, suggesting a balanced, defensively cautious but capable side. The BTTS rate is 49.1% and clean sheets 37.7%, implying openness with periodic defensive solidity. The draw rate at 22.8% points to mid-table parity more often than dominance. Given the three-season sample, these signals carry variance and should be treated as indicative rather than definitive.
Attack Tempo
n/a
Goals scored per match
Defensive Control
n/a
Clean sheet rate
Match Shape
n/a
Draw share (BTTS n/a)
Oscar Hiljemark took charge of Pisa in Serie A on 3 February 2026. The profile contains zero analyzed seasons and all metrics are null, so no measurable tactical tendencies are identifiable. With such an incomplete sample, any edge or signal is uncertain and variance remains high. The current read is a nascent setup rather than an established pattern; future data will determine likely tendencies in goals, defense, and draw probability.
Attack Tempo
0.9
Goals scored per match
Defensive Control
19.2%
Clean sheet rate
Match Shape
24.3%
Draw share (BTTS 51.3%)
Paolo Sammarco began at Verona on 2026-02-03. Across three seasons analyzed, the team shows a low-scoring approach: 0.9 goals for per match against 1.5 conceded. BTTS at 51.3% and clean sheets at 19.2% point to defensively fragile episodes and frequent open games, with draws 24.3%. Given the sample size, these signals carry variance and should be treated as tentative tendencies rather than firm edges.
Attack Tempo
1.5
Goals scored per match
Defensive Control
26.3%
Clean sheet rate
Match Shape
24.6%
Draw share (BTTS 55.3%)
Fiorentina, under Paolo Vanoli since 7 November 2025, has produced 1.5 goals for and 1.1 against per match across 3 seasons. BTTS 55.3% and a 26.3% clean sheet rate, with a 24.6% draw rate, point to relatively open games with a modest defensive resilience and a fair share of both teams scoring. Given the sample size of 3 seasons, there is variance and uncertainty in projecting long-term tendencies.
Attack Tempo
1.9
Goals scored per match
Defensive Control
34.2%
Clean sheet rate
Match Shape
18.4%
Draw share (BTTS 53.5%)
Under Raffaele Palladino, since 2025-11-11, Atalanta in football has yielded 1.9 goals for and 1.1 against per game across three seasons. The BTTS rate sits at 53.5%, clean sheets at 34.2%, and draws at 18.4%. The pattern suggests a balanced approach: capable attack with a defensively mindful base, producing a notable portion of open games. Caution: sample size is limited, so variance across seasons may shift these tendencies.
Attack Tempo
1.4
Goals scored per match
Defensive Control
32.5%
Clean sheet rate
Match Shape
35.1%
Draw share (BTTS 55.3%)
Under Vincenzo Italiano since June 2024, Bologna show a measured balance: 1.4 goals for per match and 1.1 against. The high BTTS rate (55.3%) and a 32.5% clean-sheet figure point to a structure that allows both teams to score while maintaining defenders' discipline. Draws approach a third of results (35.1%), suggesting elasticity rather than dominance. With only three seasons analyzed, these tendencies carry variance and should be treated as signals rather than certainties.
