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| Date | Match | Score |
|---|---|---|
| 25.10.2025 | Limkokwing University - Majantja | 0 : 2 |
| 09.02.2025 | Limkokwing University - Majantja | 1 : 0 |
| 09.11.2024 | Majantja - Limkokwing University | 1 : 0 |
| Date | Match | Score | Res |
|---|---|---|---|
| 29.08.2026 | Machokha - Limkokwing University | 0 - 1 | W |
| 22.08.2026 | Limkokwing University - Lifofane | 1 - 1 | D |
| 16.05.2026 | Limkokwing University - LCS | 0 - 3 | L |
| 10.05.2026 | Lifofane - Limkokwing University | 0 - 0 | D |
| 02.05.2026 | Limkokwing University - Liphakoe | 0 - 0 | D |
| Date | Match | Score | Res |
|---|---|---|---|
| 30.08.2026 | Majantja - Lijabatho | 0 - 0 | D |
| 23.08.2026 | Majantja - Summit | 1 - 0 | W |
| 16.05.2026 | Majantja - Lifofane | 0 - 2 | L |
| 09.05.2026 | Liphakoe - Majantja | 1 - 1 | D |
| 03.05.2026 | Majantja - Manonyane | 0 - 0 | D |
The upcoming match between Limkokwing University and Majantja is scheduled for 06.09.2026 13:00 in Premier League. The analysis uses only stored statistics, form, head-to-head records, trend percentages and active Premium market signals. It does not guarantee a particular result.
Standings and season form
Limkokwing University are in position 11 with 1 points. The stored form sequence is D. Majantja are in position 5 with 3 points. The stored form sequence is W.
Limkokwing University recorded 2 wins, 5 draws and 3 losses across the last 10 completed matches. The newest-to-oldest result sequence is WDLDDDLLDW. The averages are 0.70 goals scored and 1.10 goals conceded per match. Both teams scored in 40% of those matches, while 30% finished with over 2.5 goals. Majantja recorded 5 wins, 3 draws and 2 losses across the last 10 completed matches. The newest-to-oldest result sequence is DWLDDWWWWL. The averages are 0.90 goals scored and 0.60 goals conceded per match. Both teams scored in 20% of those matches, while 10% finished with over 2.5 goals.
Across the last 3 head-to-head matches, Limkokwing University recorded 1 wins, there were 0 draws, and Majantja recorded 2 wins. The average total was 1.33 goals per match. Both teams scored in 0% of those matches, while 0% finished with over 2.5 goals.
The highest stored values are: Under 3.5 goals — 100%; Under 2.5 goals — 70%; Over 1.5 goals — 60%; Over 0.5 first-half goals — 50%; Both teams to score — 40%. They are statistical indicators and are not automatically converted into a prediction.
The match between Limkokwing University and Majantja ended 1-3. The game produced 4 goals in total. The first half contained 1 goal. The following review compares the final result only with historical data, the discipline profile, trend values and Premium signals locked before kickoff.
The previous 3 head-to-head meetings averaged 1.33 goals, while this match produced 4. The final scoring profile differed by more than one goal from that average. Across the previous 3 head-to-head meetings, the leading historical direction was No BTTS at 100%. The actual outcome for this indicator was BTTS. The final result did not align with that historical profile. Across the previous 3 head-to-head meetings, the leading historical direction was Under 2.5 at 100%. The actual outcome for this indicator was Over 2.5. The final result did not align with that historical profile.
Before kickoff, the stored trend indicated No BTTS at 60%. The actual outcome was BTTS. The stored trend was not confirmed by the result. Before kickoff, the stored trend indicated Over 1.5 at 60%. The actual outcome was Over 1.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Under 2.5 at 70%. The actual outcome was Over 2.5. The stored trend was not confirmed by the result. Before kickoff, the stored trend indicated Under 3.5 at 100%. The actual outcome was Over 3.5. The stored trend was not confirmed by the result. Before kickoff, the stored trend indicated Under 1.5 HT at 90%. The actual outcome was Under 1.5 HT. The stored trend was confirmed by the result.
Of 8 verifiable pre-match indicators, 2 aligned with the final result and 6 were not confirmed. This is a post-match verification of data stored before kickoff, not a revision of the analysis after the match ended.