Naivas vs APS Bomet: result 2-0 and analysis
Super LeagueRegular Season - 6Kick-off on January 7, 2023 at 12:00 PM (UTC)Camp Toyoyo, Nairobi
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What was the result of Naivas vs APS Bomet?
Naivas won 2-0 on January 7, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naivas have 5 wins, 4 draws and 6 defeats; APS Bomet have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2022 | Coastal Heroes(away) | 2-1 | Super League |
| Dec 3, 2022 | Mwatate United(away) | 5-0 | Super League |
| Nov 26, 2022 | Mara Sugar(home) | 0-1 | Super League |
| Jul 24, 2022 | Coastal Heroes(home) | 2-0 | Super League |
| Jul 18, 2022 | Kisumu All Stars(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2022 | Murang'a SEAL(home) | 1-1 | Super League |
| Jul 18, 2022 | Muhoroni Youth(away) | 0-1 | Super League |
| Jul 13, 2022 | Mara Sugar(home) | 1-0 | Super League |
| Jul 9, 2022 | Assad(away) | 0-0 | Super League |
| Jul 6, 2022 | Coastal Heroes(away) | 2-2 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 1 Naivas win, 0 draws, 1 APS Bomet win.
| Date | Score | Competition |
|---|---|---|
| Jun 22, 2022 | APS Bomet 1-0 Naivas | Super League |
| Mar 2, 2022 | Naivas 1-0 APS Bomet | Super League |
How many goals should we expect?
Naivas score 1.2 and concede 1.1 goals per match over their last 15; APS Bomet score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naivas | 1.2 | 1.1 | 5 | 6/15 | 7/15 |
| APS Bomet | 1.3 | 0.5 | 10 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Naivas | 38 | 17 | 10 | 11 | 47 | 30 | 61 |
A question about Naivas vs APS Bomet?
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