Amawele vs Sisonkhe: result 0-1 and analysis
Premier LeagueRegular Season - 25Kick-off on April 22, 2026 at 11:00 AM (UTC)
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What was the result of Amawele vs Sisonkhe?
Sisonkhe won 0-1 on April 22, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amawele have 3 wins, 5 draws and 7 defeats; Sisonkhe have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2026 | Nsingizini Hotspurs(home) | 0-2 | Premier League |
| Apr 8, 2026 | Mbabane Swallows(away) | 0-4 | Premier League |
| Apr 4, 2026 | Ubombo Sugar(away) | 0-1 | Premier League |
| Mar 14, 2026 | Royal Leopards(home) | 0-4 | Premier League |
| Mar 7, 2026 | Ezulwini United(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Ezulwini United(home) | 1-1 | Premier League |
| Apr 11, 2026 | Young Buffaloes(away) | 2-2 | Premier League |
| Apr 4, 2026 | Rangers FC(away) | 0-1 | Premier League |
| Mar 15, 2026 | Highlanders(home) | 0-4 | Premier League |
| Mar 7, 2026 | Manzini Sea Birds(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Amawele wins, 0 draws, 1 Sisonkhe win.
| Date | Score | Competition |
|---|---|---|
| Dec 14, 2025 | Sisonkhe 1-0 Amawele | Premier League |
How many goals should we expect?
Amawele score 0.7 and concede 1.5 goals per match over their last 15; Sisonkhe score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amawele | 0.7 | 1.5 | 4 | 5/15 | 6/15 |
| Sisonkhe | 0.7 | 1.4 | 2 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Amawele | 2 | 0 | 0 | 2 | 1 | 7 | 0 |
A question about Amawele vs Sisonkhe?
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