08.09.19 10:30
Finished
0
:
1
(0:0, 0:1)

Goals

N. Mosti
0 : 1
90'

Stats

Match
Top Stats
4
Total shots
8
 
 
1
Shots on target
4
 
 
1
Corner Kicks
5
 
 
2
Yellow Cards
3
 
 
42
Ball Possession (%)
58
 
 

Additional Information

Stadium:Джузеппе Синигалья (Комо)
Weather:Ясно, +16°C
Preview
Tips
Summary
Matches
Trends
Lineups
Standings
Based on last 50 matches in "Italy. Serie C - Group A", up to 09/08/2019
To build a prediction for the Como - Monza match, scheduled for 8 September 2019, several key factors could influence the outcome. Como have played 2 matches, in which they won 2 of them. Monza, having played 2 matches, won 2 times.

Pre-Match Facts

Motivation
Tournament progress - the season has recently started

Como - 7.5/10

Last match - 7 days ago, a win against a fierce rival
Gozzano2.552
Draw
Como2.875
Status in the current match - fierce rival
Como3.07
Draw
Monza2.38
Next match - in 7 days, against a fierce rival
Renate2.536
Draw3.008
Como2.995

Monza - 6.5/10

Last match - 7 days ago, a win as a clear favourite
Monza1.65
Draw3.66
Novara5.45
Status in the current match - fierce rival
Como3.07
Draw
Monza2.38
Next match - in 6 days
Monza
Draw3.48
Pro Vercelli5.25

Summary

*Click on a table cell to see a tooltip
Matches
2
2
Wins
100% (2)
100% (2)
Match Total (Avg.)
2
2.5
Goals Scored
4
4
Goals Conceded
0
1
- Como value is better
- Monza value is better

Streaks

*Matches in a row with a given outcome
Wins
2
2
Win Or Draw
2
2
Win Or Defeat
2
2
Both Teams To Score (No)
2
1
Win To Nil (Yes)
2
1

Team outcomes

Como
Monza
H2H
Based on number of matches: 2
1 X 2
Wins
100% (2)
bookie-logobookie-logo
3.07
Double Chance
Wins Or Draws
100% (2)
bookie-logobookie-logo
1.59
Wins Or Defeats
100% (2)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Como - Monza - score, tip, statistics

View the match score for Como - Monza. We've compiled statistics that will help you conduct mathematical analysis and make a prediction.

Other useful information:
  1. Instant match results
  2. Referee statistics and cards
  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
  5. Football statistics