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Reggiana 0 - 0 Giana Erminio

28.09.2015 - 18:30

Stadium : MAPEI Stadium - Città del Tricolore

Finished

Table

#TeamMPWDLGFGAGDPtsPPGLast 5
1
SPAL logo

SPAL

220072+563.00
W W L W D
2
Cittadella logo

Cittadella

210155031.50
L W W D W
3
Benevento logo

Benevento

200238-500
L L D W W
#TeamMPWDLGFGAGDPtsPPGLast 5
1
SPAL logo

SPAL

110041+333.00
W L D W W
2
Cittadella logo

Cittadella

100113-200
L D W L W
3
Benevento logo

Benevento

100124-200
L W W W W
#TeamMPWDLGFGAGDPtsPPGLast 5
1
SPAL logo

SPAL

110031+233.00
W W W L W
2
Cittadella logo

Cittadella

110042+233.00
W W W D W
3
Benevento logo

Benevento

100114-300
L D W D W

At the moment, Reggiana is in 7th in the Serie C. In 34 matches, Reggiana has 13 wins, 13 draws, and 8 losses.

The club has picked up 52 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 1.53 points per match to date in the tournament.

  • Goals scored: 40
  • Goals conceded: 25
  • Goal difference: 15

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

  • 17 matches
  • 7 wins
  • 8 draws
  • 2 defeats

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

  • 17 matches
  • 6 wins
  • 5 draws
  • 6 defeats

As for Giana Erminio’s campaign, they sit in 12th in the competition table and this is the current state of their Serie C campaign:

  • Matches: 34
  • Wins: 10
  • Draws: 12
  • Losses: 12
  • Goals scored: 33
  • Goals conceded: 36
  • Goal difference: -3

As a result, Giana Erminio has, in terms of the overall campaign, the 12th position on the leaderboard. When Giana Erminio plays as home team, the situation is as follows: 17 games, 3 wins, 7 draws and 7 losses.

Now, when playing away from home, Giana Erminio adds:

  • 17 matches
  • 7 wins
  • 5 draws
  • 5 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 Reggiana vs Giana Erminio.

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.