Zoo Kericho vs Naivas: prediction and stats
Super LeagueRegular Season - 35Kick-off on July 9, 2022 at 12:00 AM (UTC)Kericho Green Stadium, Kericho
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zoo Kericho have 6 wins, 2 draws and 7 defeats; Naivas have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2022 | Assad(home) | 0-2 | Super League |
| Jun 22, 2022 | Migori Youth(away) | 0-2 | Super League |
| Jun 18, 2022 | APS Bomet(home) | 0-2 | Super League |
| Jun 12, 2022 | Gusii(away) | 1-1 | Super League |
| Jun 5, 2022 | Fortune Sacco(home) | 2-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2022 | Vihiga United FC(away) | 1-2 | Super League |
| Jun 26, 2022 | Mwatate United(home) | 0-0 | Super League |
| Jun 22, 2022 | APS Bomet(away) | 0-1 | Super League |
| Jun 18, 2022 | Kibera Black Stars(home) | 2-2 | Super League |
| Jun 12, 2022 | Migori Youth(away) | 1-1 | Super League |
What does the head-to-head say?
In the last meeting: 0 Zoo Kericho wins, 0 draws, 1 Naivas win.
| Date | Score | Competition |
|---|---|---|
| Jan 27, 2022 | Naivas 3-0 Zoo Kericho | Super League |
Last archived meeting: Naivas vs Zoo Kericho on Jan 27, 2022
How many goals should we expect?
Zoo Kericho score 1.3 and concede 1.3 goals per match over their last 15; Naivas score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zoo Kericho | 1.3 | 1.3 | 1 | 8/15 | 7/15 |
| Naivas | 1.1 | 0.9 | 7 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Naivas | 38 | 17 | 10 | 11 | 47 | 30 | 61 |
A question about Zoo Kericho vs Naivas?
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