Favourite this Match

Giana Erminio 2 - 0 Pistoiese

02.05.2021 - 15:30

Stadium : Stadio Comunale (Gorgonzola)

Finished

Table

#TeamMPWDLGFGAGDPtsPPGLast 5
1
Ternana logo

Ternana

220040+463.00
W W L W W
2
Perugia logo

Perugia

210122031.50
L W W W W
3
Como logo

Como

200215-400
L L W W W
#TeamMPWDLGFGAGDPtsPPGLast 5
1
Ternana logo

Ternana

110010+133.00
W L W W W
2
Perugia logo

Perugia

110021+133.00
W W W W W
3
Como logo

Como

100103-300
L W D W L
#TeamMPWDLGFGAGDPtsPPGLast 5
1
Ternana logo

Ternana

110030+333.00
W W W W W
2
Perugia logo

Perugia

100101-100
L W W W D
3
Como logo

Como

100112-100
L W W L W

At the moment, Giana Erminio is in 16th in the Serie C. In 38 matches, Giana Erminio has 11 wins, 11 draws, and 16 losses.

The club has picked up 44 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 1.16 points per match to date in the tournament.

  • Goals scored: 36
  • Goals conceded: 45
  • Goal difference: -9

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

  • 19 matches
  • 8 wins
  • 5 draws
  • 6 defeats

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

  • 19 matches
  • 3 wins
  • 6 draws
  • 10 defeats

As for Pistoiese’s campaign, they sit in 19th in the competition table and this is the current state of their Serie C campaign:

  • Matches: 38
  • Wins: 8
  • Draws: 7
  • Losses: 23
  • Goals scored: 27
  • Goals conceded: 52
  • Goal difference: -25

As a result, Pistoiese has, in terms of the overall campaign, the 19th position on the leaderboard. When Pistoiese plays as home team, the situation is as follows: 19 games, 7 wins, 5 draws and 7 losses.

Now, when playing away from home, Pistoiese adds:

  • 19 matches
  • 1 wins
  • 2 draws
  • 16 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 Giana Erminio vs Pistoiese.

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.