Aschat vs Rafeeq: result 1-0 and analysis
Premier LeagueRegular Season - 6Kick-off on March 8, 2021 at 01:30 PM (UTC)11 June Stadium, Tripoli
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What was the result of Aschat vs Rafeeq?
Aschat won 1-0 on March 8, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aschat have 0 wins, 7 draws and 8 defeats; Rafeeq have 1, 8 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2021 | Al-Khmes(away) | 2-4 | Premier League |
| Feb 23, 2021 | Olympic Azzaweya(home) | 0-2 | Premier League |
| Feb 16, 2021 | Al Ahli Tripoli(away) | 1-2 | Premier League |
| Feb 9, 2021 | Al-Wehda(home) | 1-1 | Premier League |
| Jan 25, 2021 | Alittihad Misurata(home) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2021 | Abu Salim(home) | 1-0 | Premier League |
| Feb 21, 2021 | Almahalla(away) | 1-1 | Premier League |
| Feb 15, 2021 | Al-Ittihad(home) | 1-1 | Premier League |
| Feb 10, 2021 | Al-Khmes(home) | 2-2 | Premier League |
| Jan 25, 2021 | Olympic Azzaweya(away) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Aschat wins, 1 draw, 0 Rafeeq wins.
| Date | Score | Competition |
|---|---|---|
| Dec 21, 2018 | Aschat 0-0 Rafeeq | Premier League |
How many goals should we expect?
Aschat score 0.5 and concede 1.4 goals per match over their last 15; Rafeeq score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aschat | 0.5 | 1.4 | 6 | 6/15 | 6/15 |
| Rafeeq | 0.7 | 1.3 | 4 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Aschat vs Rafeeq?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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