Assad vs Silibwet: result 2-0 and analysis
Super LeagueRegular Season - 30Kick-off on May 27, 2023 at 12:00 PM (UTC)Mbaraki Sports Club, Mombasa
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What was the result of Assad vs Silibwet?
Assad won 2-0 on May 27, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assad have 4 wins, 2 draws and 9 defeats; Silibwet have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2023 | Kajiado(away) | 3-2 | Super League |
| May 15, 2023 | Kisumu All Stars(home) | 1-2 | Super League |
| May 10, 2023 | Murang'a SEAL(away) | 1-3 | Super League |
| May 5, 2023 | MCF(home) | 3-3 | Super League |
| Apr 30, 2023 | Darajani Gogo(away) | 0-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2023 | Kajiado(home) | 2-2 | Super League |
| May 10, 2023 | Kisumu All Stars(away) | 0-2 | Super League |
| May 6, 2023 | Murang'a SEAL(home) | 0-0 | Super League |
| Apr 30, 2023 | MCF(away) | 0-2 | Super League |
| Apr 23, 2023 | Darajani Gogo(home) | 2-0 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 Assad win, 1 draw, 1 Silibwet win.
| Date | Score | Competition |
|---|---|---|
| Feb 4, 2023 | Silibwet 0-0 Assad | Super League |
| Jul 17, 2022 | Assad 3-2 Silibwet | Super League |
| Dec 5, 2021 | Silibwet 1-0 Assad | Super League |
How many goals should we expect?
Assad score 1.6 and concede 2.2 goals per match over their last 15; Silibwet score 0.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assad | 1.6 | 2.2 | 0 | 12/15 | 12/15 |
| Silibwet | 0.5 | 1.5 | 5 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Assad vs Silibwet?
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