28.10.26 07:30
Finished
1
:
1
(0:0, 1:1)

Tips

Mathematical Tip: TO (2.5)

Additional Information

Stadium:Samuel Kanyon Doe Sports Complex (Monrovia)
Weather:Some cloud, +29°C
Preview
Tips
Summary
Matches
Trends
Standings
Based on last 50 matches in "Liberia. LFA First Division", up to 10/28/2026
To build a prediction for the Shaita - Golden Dream match, scheduled for 28 October 2026, several key factors could influence the outcome. Shaita have played 29 matches, in which they won 6 of them, drew 9 times and lost 14 matches. Golden Dream, having played 3 matches, drew 1 match and lost 2 defeats. In the league, Shaita average 1.5 goals scored per game and 2 conceded. Golden Dream average 1 scored and 1.7 conceded.

Pre-Match Facts

Main
Motivation
In 13 out of 15 last matches involving Shaita, over over 2 goals were scored.

Summary

*Click on a table cell to see a tooltip
Matches
29
3
Wins
21% (6)
0% (0)
Draws
31% (9)
33% (1)
Defeats
48% (14)
67% (2)
Match Total (Avg.)
3.4
2.7
- Shaita value is better
- Golden Dream value is better

Trends

*Click on a trend to see details
Defeats
4 / 4
—
Win Or Defeat
4 / 4
—
Draw Or Defeat
5 / 5
—
Both Teams To Score (Yes)
4 / 5
—
Both Teams To Score (No)
5 / 9
—

Streaks

*Matches in a row with a given outcome
Defeats
4
2
Win Or Defeat
4
2
Draw Or Defeat
5
3

Team outcomes

Shaita
Golden Dream
H2H
Based on number of matches: 29
1 X 2
Wins
21% (6)
bookie-logobookie-logo2.56
Draws
31% (9)
bookie-logobookie-logo2.93
Defeats
48% (14)
bookie-logobookie-logo2.56
Double Chance
Wins Or Draws
52% (15)
bookie-logobookie-logo1.37
Wins Or Defeats
69% (20)
bookie-logobookie-logo1.285
Draws Or Defeats
79% (23)
bookie-logobookie-logo1.37
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Shaita - Golden Dream - score, tip, statistics

View the match score for Shaita - Golden Dream. 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