29.10.17 10:30
Finished
1
:
1
(1:1, 0:0)
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Spain. Tercera RFEF - Group 13", up to 10/29/2017
To build a prediction for the Pulpileno - Minerva match, scheduled for 29 October 2017, several key factors could influence the outcome. Pulpileno have played 10 matches, in which they won 2 of them, drew 3 times and lost 5 matches. Minerva, having played 10 matches, won 4 times, drew 3 matches and lost 3 defeats. In the league, Pulpileno average 1.2 goals scored per game and 1.3 conceded. Minerva average 1.7 scored and 1.1 conceded.

Pre-Match Facts

Main
Motivation
Pulpileno scores under 2 goals in 8 out of 10 last matches.
In 8 out of 10 last matches, Pulpileno scores in the first half.
In 8 out of 10 last matches, Pulpileno concedes in the first half.
In 9 out of 10 last matches involving Pulpileno, a draw was recorded in the second half.
Minerva scores in 9 out of 10 last matches.
In 9 out of 10 last matches, Minerva scores in the first half.
In 8 out of 10 last matches involving Minerva, a draw was recorded in the second half.

Summary

*Click on a table cell to see a tooltip
Matches
10
10
Wins
20% (2)
40% (4)
Draws
30% (3)
30% (3)
Defeats
50% (5)
30% (3)
Match Total (Avg.)
2.5
2.8
- Pulpileno value is better
- Minerva value is better

Trends

*Click on a trend to see details
Win Or Draw
5 / 6
Win Or Defeat
3 / 4
Both Teams To Score (No)
4 / 6
4 / 6

Streaks

*Matches in a row with a given outcome
Win Or Draw
3

Team outcomes

Pulpileno
Minerva
H2H
Based on number of matches: 10
1 X 2
Wins
20% (2)
Draws
30% (3)
Defeats
50% (5)
Double Chance
Wins Or Draws
50% (5)
Wins Or Defeats
70% (7)
Draws Or Defeats
80% (8)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Pulpileno - Minerva - score, tip, statistics

View the match score for Pulpileno - Minerva. 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