Mwatate United vs APS Bomet: prediction and stats
Super LeagueRegular Season - 24Kick-off on April 15, 2023 at 12:00 AM (UTC)Ruaraka Stadium, Nairobi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mwatate United have 6 wins, 2 draws and 7 defeats; APS Bomet have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2023 | Naivas(away) | 1-0 | Super League |
| Apr 2, 2023 | Bandari(away) | 0-2 | Shield Cup |
| Mar 26, 2023 | Mara Sugar(away) | 1-3 | Super League |
| Mar 20, 2023 | Vihiga United FC(home) | 5-0 | Super League |
| Mar 15, 2023 | Mombasa Elite(away) | 1-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 16, 2023 | Coastal Heroes(away) | 0-2 | Super League |
| Jan 11, 2023 | Fortune Sacco(home) | 2-2 | Super League |
| Jan 7, 2023 | Naivas(away) | 0-2 | Super League |
| Jul 24, 2022 | Murang'a SEAL(home) | 1-1 | Super League |
| Jul 18, 2022 | Muhoroni Youth(away) | 0-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Mwatate United win(s), 0 draw(s), 2 APS Bomet win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2022 | APS Bomet 4-0 Mwatate United | Super League |
| Jan 16, 2022 | Mwatate United 0-1 APS Bomet | Super League |
Last archived meeting: APS Bomet vs Mwatate United on May 14, 2022
How many goals should we expect?
Mwatate United score 1.3 and concede 1.9 goals per match over their last 15; APS Bomet score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mwatate United | 1.3 | 1.9 | 4 | 7/15 | 10/15 |
| APS Bomet | 1.1 | 0.7 | 8 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 20 | Mwatate United | 38 | 6 | 7 | 25 | 27 | 64 | 25 |
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