Assad vs MCF: result 3-3 and analysis
Super LeagueRegular Season - 26Kick-off on May 5, 2023 at 12:00 PM (UTC)Mbaraki Sports Club, Mombasa
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What was the result of Assad vs MCF?
Assad and MCF drew 3-3 on May 5, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assad have 4 wins, 3 draws and 8 defeats; MCF have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | Darajani Gogo(away) | 0-2 | Super League |
| Apr 24, 2023 | Migori Youth(home) | 3-1 | Super League |
| Apr 19, 2023 | Gusii(away) | 0-3 | Super League |
| Apr 14, 2023 | Shabana(home) | 3-1 | Super League |
| Apr 9, 2023 | Kibera Black Stars(away) | 0-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | Silibwet(home) | 2-0 | Super League |
| Apr 23, 2023 | Kajiado(away) | 1-2 | Super League |
| Apr 19, 2023 | Kisumu All Stars(home) | 1-0 | Super League |
| Apr 15, 2023 | Murang'a SEAL(away) | 0-1 | Super League |
| Mar 26, 2023 | Migori Youth(home) | 0-1 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 0 Assad wins, 0 draws, 3 MCF wins.
| Date | Score | Competition |
|---|---|---|
| Jan 11, 2023 | MCF 3-0 Assad | Super League |
| May 28, 2022 | MCF 2-0 Assad | Super League |
| Mar 26, 2022 | Assad 2-3 MCF | Super League |
How many goals should we expect?
Assad score 1.3 and concede 1.8 goals per match over their last 15; MCF score 0.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assad | 1.3 | 1.8 | 2 | 9/15 | 9/15 |
| MCF | 0.8 | 0.7 | 7 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | MCF | 38 | 9 | 10 | 19 | 24 | 42 | 34 |
A question about Assad vs MCF?
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