Migori Youth vs APS Bomet: result 2-0 and analysis
Super LeagueRegular Season - 23Kick-off on May 2, 2022 at 12:00 AM (UTC)Migori Stadium, Migori
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What was the result of Migori Youth vs APS Bomet?
Migori Youth won 2-0 on May 2, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Migori Youth have 5 wins, 3 draws and 7 defeats; APS Bomet have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2022 | Assad(away) | 2-3 | Super League |
| Apr 23, 2022 | Gusii(home) | 1-0 | Super League |
| Apr 16, 2022 | Muhoroni Youth(away) | 0-1 | Super League |
| Apr 2, 2022 | Mwatate United(home) | 2-0 | Super League |
| Mar 26, 2022 | Dandora Love(home) | 3-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2022 | Silibwet(home) | 0-2 | Super League |
| Apr 24, 2022 | Kisumu All Stars(away) | 1-0 | Super League |
| Apr 17, 2022 | Vihiga United FC(home) | 1-1 | Super League |
| Apr 2, 2022 | MCF(away) | 1-1 | Super League |
| Mar 28, 2022 | Mombasa Elite(away) | 1-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Migori Youth win(s), 1 draw(s), 0 APS Bomet win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2021 | APS Bomet 1-1 Migori Youth | Super League |
Last archived meeting: APS Bomet vs Migori Youth on Dec 19, 2021
How many goals should we expect?
Migori Youth score 1.3 and concede 1.5 goals per match over their last 15; APS Bomet score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Migori Youth | 1.3 | 1.5 | 4 | 10/15 | 7/15 |
| APS Bomet | 1.2 | 0.9 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Migori Youth | 38 | 25 | 6 | 7 | 57 | 29 | 81 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy