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Sambenedettese 3 - 0 Fermana

29.12.2017 - 19:45

Stadium : Stadio Riviera delle Palme

Finished

Table

#TeamMPWDLGFGAGDPtsPPGLast 5
1
Calcio Padova logo

Calcio Padova

220061+563.00
W W W D D
2
Livorno logo

Livorno

210146-231.50
W L D D W
3
Lecce logo

Lecce

200214-300
L L L W W
#TeamMPWDLGFGAGDPtsPPGLast 5
1
Calcio Padova logo

Calcio Padova

110051+433.00
W W D W D
2
Livorno logo

Livorno

110031+233.00
W D W L W
3
Lecce logo

Lecce

100101-100
L W W D D
#TeamMPWDLGFGAGDPtsPPGLast 5
1
Calcio Padova logo

Calcio Padova

110010+133.00
W D D L D
2
Livorno logo

Livorno

100115-400
L D W L L
3
Lecce logo

Lecce

100113-200
L L W L W

At the moment, Sambenedettese is in 3rd in the Serie C. In 34 matches, Sambenedettese has 14 wins, 11 draws, and 9 losses.

The club has picked up 53 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 1.56 points per match to date in the tournament.

  • Goals scored: 38
  • Goals conceded: 31
  • Goal difference: 7

Here are more stats from Sambenedettese’s campaign at home in the Serie C below:

  • 17 matches
  • 7 wins
  • 6 draws
  • 4 defeats

If we only look at Sambenedettese’s away matches, this is their current record:

  • 17 matches
  • 7 wins
  • 5 draws
  • 5 defeats

As for Fermana’s campaign, they sit in 14th in the competition table and this is the current state of their Serie C campaign:

  • Matches: 34
  • Wins: 8
  • Draws: 14
  • Losses: 12
  • Goals scored: 27
  • Goals conceded: 36
  • Goal difference: -9

As a result, Fermana has, in terms of the overall campaign, the 14th position on the leaderboard. When Fermana plays as home team, the situation is as follows: 17 games, 5 wins, 8 draws and 4 losses.

Now, when playing away from home, Fermana adds:

  • 17 matches
  • 3 wins
  • 6 draws
  • 8 defeats

The competition table helps provide an overview of the teams’ performance during the current campaign and helps identify patterns, trends, and statistics relevant to analysing Sambenedettese vs Fermana.

With this data, you can check each club’s goal production, their position in the table, their goal difference, and other factors that can be useful for predicting the outcome of the match.