Preview
Summary
Matches
Trends
Standings
Based on current season of "Eswatini. Swazi MTN Premier League", up to 12/27/2025
To build a prediction for the Mbabane Highlanders - Tabankulu match, scheduled for 27 December 2025, several key factors could influence the outcome. Mbabane Highlanders have played 12 matches, in which they won 3 of them, drew 5 times and lost 4 matches. Tabankulu, having played 12 matches, won 7 times and lost 5 defeats. In the league, Mbabane Highlanders average 0.9 goals scored per game and 1 conceded. Tabankulu average 1.8 scored and 1.2 conceded.

Pre-Match Facts

Main
Motivation
The last 12 matches involving Tabankulu did not end in a draw.
Tabankulu concedes under 2 goals in 7 out of 9 last matches.
In 6 last matches where Mbabane Highlanders played at home, at least one team did not score.
In 6 last matches of Mbabane Highlanders at home, over under 2 goals were scored.
In 6 last matches of Mbabane Highlanders at home, over under 3 goals were scored.

Summary

*Click on a table cell to see a tooltip
Matches
12
12
Wins
25% (3)
58% (7)
Draws
42% (5)
0% (0)
Defeats
33% (4)
42% (5)
Match Total (Avg.)
1.9
3
- Mbabane Highlanders value is better
- Tabankulu value is better

Trends

*Click on a trend to see details
Wins
3 / 4
Win Or Draw
3 / 4
3 / 4
Win Or Defeat
12 / 12
Draw Or Defeat
8 / 9
Both Teams To Score (No)
7 / 12
5 / 9
Loss Without Scoring (Yes)
3 / 7

Streaks

*Matches in a row with a given outcome
Win Or Defeat
12
Draw Or Defeat
3

Team outcomes

Mbabane Highlanders
Tabankulu
H2H
Based on number of matches: 12
1 X 2
Wins
25% (3)
Draws
42% (5)
Defeats
33% (4)
Double Chance
Wins Or Draws
67% (8)
Wins Or Defeats
58% (7)
Draws Or Defeats
75% (9)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Mbabane Highlanders - Tabankulu - score, tip, statistics

View the match score for Mbabane Highlanders - Tabankulu. 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