25.04.26 08:00
Finished
0
:
0
(0:0, 0:0)
Preview
Summary
Matches
Trends
Standings
Based on current season of "Zimbabwe. Premier Soccer League", up to 04/25/2026
To build a prediction for the Manica - Hardrock match, scheduled for 25 April 2026, several key factors could influence the outcome. Manica have played 8 matches, in which they drew 1 time and lost 7 matches. Hardrock, having played 8 matches, won 5 times, drew 2 matches and lost 1 defeat. In the league, Manica average 0.1 goals scored per game and 1.8 conceded. Hardrock average 1.3 scored and 0.6 conceded.

Pre-Match Facts

Main
Motivation
Manica lost in 7 out of 8 last matches.
In 7 out of 8 last matches involving Manica, at least one team did not score.
Manica does not score in 7 out of 8 last matches.
Manica concedes over 1 goal in 6 out of 7 last matches.
Manica scores under 2 goals in 8 matches straight.
Hardrock won in 5 out of 7 last matches.
In 6 out of 8 last matches involving Hardrock, at least one team did not score.

Summary

*Click on a table cell to see a tooltip
Matches
8
8
Wins
0% (0)
63% (5)
Draws
13% (1)
25% (2)
Defeats
88% (7)
13% (1)
Match Total (Avg.)
1.9
1.9
- Manica value is better
- Hardrock value is better

Trends

*Click on a trend to see details
Defeats
7 / 8
Win Or Draw
7 / 8
Win Or Defeat
7 / 8
6 / 7
Draw Or Defeat
8 / 8
Both Teams To Score (No)
7 / 8
6 / 8
Win To Nil (Yes)
4 / 7
Loss Without Scoring (Yes)
6 / 8

Streaks

*Matches in a row with a given outcome
Defeats
3
Win Or Draw
4
Win Or Defeat
3
Draw Or Defeat
8
1

Team outcomes

Manica
Hardrock
H2H
Based on number of matches: 8
1 X 2
Draws
13% (1)
Defeats
88% (7)
Double Chance
Wins Or Draws
13% (1)
Wins Or Defeats
88% (7)
Draws Or Defeats
100% (8)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Manica - Hardrock - score, tip, statistics

View the match score for Manica - Hardrock. 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