Naivas vs Fortune Sacco: prediction and stats
Super LeagueRegular Season - 4Kick-off on January 25, 2023 at 12:00 PM (UTC)Camp Toyoyo, Nairobi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naivas have 4 wins, 5 draws and 6 defeats; Fortune Sacco have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2023 | Gusii(away) | 0-0 | Super League |
| Jan 15, 2023 | Shabana(home) | 1-2 | Super League |
| Jan 11, 2023 | Kibera Black Stars(away) | 0-0 | Super League |
| Jan 7, 2023 | APS Bomet(home) | 2-0 | Super League |
| Dec 19, 2022 | Coastal Heroes(away) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 11, 2023 | APS Bomet(away) | 2-2 | Super League |
| Jan 7, 2023 | Coastal Heroes(home) | 0-2 | Super League |
| Dec 21, 2022 | Mwatate United(home) | 0-2 | Super League |
| Jul 24, 2022 | Gusii(away) | 2-0 | Super League |
| Jul 18, 2022 | MCF(home) | 2-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 2 Naivas win(s), 0 draw(s), 0 Fortune Sacco win(s).
| Date | Score | Competition |
|---|---|---|
| May 28, 2022 | Naivas 1-0 Fortune Sacco | Super League |
| Mar 26, 2022 | Fortune Sacco 0-1 Naivas | Super League |
Last archived meeting: Naivas vs Fortune Sacco on May 28, 2022
How many goals should we expect?
Naivas score 1.1 and concede 0.9 goals per match over their last 15; Fortune Sacco score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naivas | 1.1 | 0.9 | 6 | 6/15 | 6/15 |
| Fortune Sacco | 1.2 | 0.9 | 7 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Naivas sit 7th in Super League (61 points from 38 matches) and Fortune Sacco sit 6th (63 points from 38 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fortune Sacco | 38 | 18 | 9 | 11 | 61 | 41 | 63 |
| 7 | Naivas | 38 | 17 | 10 | 11 | 47 | 30 | 61 |
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