LEC

Lecce

🇮🇹 Serie A · Lecce · Est. 1908

Lecce statistics, recent results, upcoming fixtures, squad analysis and betting insights. Follow Lecce in the Serie A.

7
Recent Matches
1W 2D 4L
Form (Last 7)
3
Goals Scored
9
Goals Conceded

Recent Results

L
Sat, 9 May 2026
Lecce 0 - 1 Juventus
W
Fri, 1 May 2026
AC Pisa 1 - 2 Lecce
D
Sat, 25 Apr 2026
Verona 0 - 0 Lecce
D
Mon, 20 Apr 2026
Lecce 1 - 1 Fiorentina
L
Sun, 12 Apr 2026
Bologna 2 - 0 Lecce
L
Mon, 6 Apr 2026
Lecce 0 - 3 Atalanta
L
Sun, 22 Mar 2026
Roma 1 - 0 Lecce

Upcoming Fixtures

Sun, 17 May 2026
18:45
Sassuolo vs Lecce
Sun, 24 May 2026
13:00
Lecce vs Genoa

Lecce Club Profile

Founded in 1908, Lecce are based in Lecce, Italy. They play their home matches at Via del Mare and compete in the Serie A.

As a member of Italy's top division, Lecce face intense competition across domestic and potentially European tournaments. Their performance is influenced by squad quality, managerial tactics, fixture congestion, and home advantage — all factors that we track and analyse on this page.

Lecce Betting Analysis

When betting on Lecce matches, several key factors should be considered. Home and away form can differ significantly — teams with strong home records often struggle on the road, and vice versa. Looking at the statistics above gives you a clear picture of recent form and goal-scoring patterns.

For match-specific analysis, consider markets like over/under goals (based on Lecce's scoring and conceding rates), both teams to score, and Asian handicap for more nuanced wagering on stronger or weaker opponents.

How to Use Lecce Statistics

The data on this page is updated automatically from live match feeds. Use the recent results to gauge current form, and cross-reference with upcoming fixtures to identify potential betting value. Teams on a winning run at home, for example, may offer value in the match result market when facing mid-table opposition.

For deeper tactical analysis, our expert guides cover topics like Expected Goals (xG), pressing systems, and form analysis methodology — all of which can be applied to Lecce's data.

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