Goals

0 : 1
21'

Stats

Match
Top Stats
0
Yellow Cards
1
 
 
50
Ball Possession (%)
50
 
 
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "South Africa. Betway Premiership", up to 11/21/2016
To build a prediction for the Chippa Utd. - Orlando Pirates match, scheduled for 21 November 2016, several key factors could influence the outcome. Chippa Utd. have played 8 matches, in which they won 2 of them, drew 3 times and lost 3 matches. Orlando Pirates, having played 8 matches, won 3 times, drew 4 matches and lost 1 defeat. In the league, Chippa Utd. average 1 goals scored per game and 0.9 conceded. Orlando Pirates average 1.1 scored and 1.3 conceded.

Pre-Match Facts

Main
Motivation
Chippa Utd. concedes under 2 goals in 7 out of 8 last matches.
In 5 out of 6 last matches, Chippa Utd. concedes in the second half.
In 4 out of 6 last matches involving Orlando Pirates, a draw was recorded.
Orlando Pirates concedes under 2 goals in 7 out of 8 last matches.
In 5 out of 6 last matches involving Orlando Pirates, a draw was recorded in the second half.

Summary

*Click on a table cell to see a tooltip
Matches
8
8
Wins
25% (2)
38% (3)
Draws
38% (3)
50% (4)
Defeats
38% (3)
13% (1)
Match Total (Avg.)
1.9
2.4
- Chippa Utd. value is better
- Orlando Pirates value is better

Trends

*Click on a trend to see details
Win Or Draw
7 / 8
Draw Or Defeat
6 / 7
5 / 6
Both Teams To Score (No)
4 / 7

Streaks

*Matches in a row with a given outcome
Draw Or Defeat
5

Team outcomes

Chippa Utd.
Orlando Pirates
H2H
Based on number of matches: 8
1 X 2
Wins
25% (2)
Draws
38% (3)
Defeats
38% (3)
Double Chance
Wins Or Draws
63% (5)
Wins Or Defeats
63% (5)
Draws Or Defeats
75% (6)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Chippa Utd. - Orlando Pirates - score, tip, statistics

View the match score for Chippa Utd. - Orlando Pirates. 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