Sisonkhe vs Tabankulu: result 1-0 and analysis
Premier LeagueRegular Season - 18Kick-off on February 15, 2026 at 01:00 PM (UTC)
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What was the result of Sisonkhe vs Tabankulu?
Sisonkhe won 1-0 on February 15, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sisonkhe have 4 wins, 4 draws and 7 defeats; Tabankulu have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2026 | Manzini Sea Birds(away) | 2-1 | Premier League |
| Feb 7, 2026 | Ubombo Sugar(away) | 0-1 | Premier League |
| Jan 25, 2026 | Royal Leopards(home) | 0-4 | Premier League |
| Jan 11, 2026 | Green Mamba(home) | 2-1 | Premier League |
| Dec 28, 2025 | Nsingizini Hotspurs(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2026 | Rangers FC(away) | 1-0 | Premier League |
| Feb 7, 2026 | Mbabane Swallows(home) | 2-1 | Premier League |
| Jan 24, 2026 | Nsingizini Hotspurs(away) | 0-0 | Premier League |
| Jan 10, 2026 | Ezulwini United(home) | 0-2 | Premier League |
| Dec 27, 2025 | Highlanders(away) | 1-3 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Sisonkhe wins, 0 draws, 1 Tabankulu win.
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2025 | Tabankulu 3-0 Sisonkhe | Premier League |
How many goals should we expect?
Sisonkhe score 0.9 and concede 1.7 goals per match over their last 15; Tabankulu score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sisonkhe | 0.9 | 1.7 | 2 | 8/15 | 7/15 |
| Tabankulu | 1.5 | 1.2 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Tabankulu | 2 | 0 | 1 | 1 | 1 | 3 | 1 |
A question about Sisonkhe vs Tabankulu?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy