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Licata vs Santa Maria Cilento

Licata and Santa Maria Cilento drew 1-1 in the Italy Serie D: Girone I on Wednesday 6 January 2021, 1-0 at half-time.

Italy Serie D: Girone I Save
Licata
11
FT
HT 1-0
Santa Maria Cilento

Licata vs Santa Maria Cilento timeline

  1. 14' Yellow card Santa Maria Cilento
  2. 20' Yellow card Licata
  3. 26' Goal Licata
  4. 48' Yellow card Licata
  5. 73' Yellow card Santa Maria Cilento
  6. 89' Goal Santa Maria Cilento

Licata vs Santa Maria Cilento stats

LicataSanta Maria Cilento
99 Attacks 127
78 Dang. Attacks 94
9 Shots 6
4 Shots On Target 2
5 Corners 4
2 Yellow Cards 2
0 Red Cards 0

Licata vs Santa Maria Cilento form

Licata All venues
0 W · 0 D · 0 L

No recent results

Santa Maria Cilento All venues
0 W · 0 D · 0 L

No recent results

Results before kick-off, most recent first, from each team's side. Open a game to see its full stats.

Licata vs Santa Maria Cilento standings

Serie D: Girone I table
# Team P W D L GF GA GD Pts Last 5
1 Reggina 12921319 +22 29
2 Vibonese 128312810 +18 27
3 Sambiase 128222111 +10 26
4 Avola 126241817 +1 20
5 Licata 126241520 -5 20
6 Digiesse PraiaTortora 125431711 +6 19
7 Siracusa 125431814 +4 19
8 Igea Virtus 125432724 +3 19
9 Milazzo 126151415 -1 19
10 Gela 12453139 +4 17
11 Nissa 124351915 +4 15
12 AC Palermo 114341615 +1 15
13 Trapani 1905 124351217 -5 15
14 Modica 113171217 -5 10
15 Vigor Lamezia 122371121 -10 9
16 CastrumFavara 122281220 -8 8
17 Ragusa 121381023 -13 6
18 Enna 12039430 -26 3
  • Licata
  • Santa Maria Cilento
  • Promotion or qualification
  • Play-offs or qualifying rounds
  • Relegation

Serie D: Girone I 2020/2021 standings as of 15 Nov 2026, 21:33 UK. Last 5 shows the most recent result first.

Pre-match probabilities

46%Licata 27%Draw 27%Santa Maria Cilento

Both teams to score

  • Yes 47%
  • No 53%

Goals 2.5

  • Over 2.5 42%
  • Under 2.5 58%

Goals 3.5

  • Over 3.5 22%
  • Under 3.5 78%
Unlock every model market, including correct scores, half-time/full-time, team goals and corners, with Pro

From the OddAlerts probability model before kick-off.