Fortune Sacco vs APS Bomet: result 0-0 and analysis
Super LeagueRegular Season - 30Kick-off on June 11, 2022 at 12:00 AM (UTC)Kianyaga Stadium, Kianyaga
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What was the result of Fortune Sacco vs APS Bomet?
Fortune Sacco and APS Bomet drew 0-0 on June 11, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fortune Sacco have 8 wins, 3 draws and 4 defeats; APS Bomet have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2022 | Zoo Kericho(away) | 3-2 | Super League |
| Jun 1, 2022 | Shabana(home) | 3-0 | Super League |
| May 28, 2022 | Naivas(away) | 0-1 | Super League |
| May 21, 2022 | Mwatate United(away) | 1-0 | Super League |
| May 14, 2022 | Assad(home) | 2-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2022 | Kibera Black Stars(home) | 1-0 | Super League |
| May 27, 2022 | Mombasa Elite(home) | 4-1 | Super League |
| May 21, 2022 | Gusii(away) | 1-0 | Super League |
| May 14, 2022 | Mwatate United(home) | 4-0 | Super League |
| May 8, 2022 | MCF(home) | 1-0 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Fortune Sacco win(s), 0 draw(s), 1 APS Bomet win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2022 | APS Bomet 1-0 Fortune Sacco | Super League |
Last archived meeting: APS Bomet vs Fortune Sacco on Mar 7, 2022
How many goals should we expect?
Fortune Sacco score 1.2 and concede 0.7 goals per match over their last 15; APS Bomet score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fortune Sacco | 1.2 | 0.7 | 6 | 5/15 | 3/15 |
| APS Bomet | 1.3 | 0.7 | 8 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fortune Sacco | 38 | 18 | 9 | 11 | 61 | 41 | 63 |
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