Match

Naivas vs Shabana: result 1-2 and analysis

Super LeagueRegular Season - 8Kick-off on January 15, 2023 at 12:00 PM (UTC)Camp Toyoyo, Nairobi

Naivas
1-2
Shabana

Full time

What was the result of Naivas vs Shabana?

Shabana won 1-2 on January 15, 2023.

Goalscorers

  • 23′?Naivas
  • 46′?Shabana
  • 78′?Shabana

What is the recent form of both teams?

Over their last 15 matches in all competitions, Naivas have 5 wins, 5 draws and 5 defeats; Shabana have 9, 3 and 3.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Naivas
DateOpponentScoreCompetition
Jan 11, 2023Kibera Black Stars(away)0-0Super League
Jan 7, 2023APS Bomet(home)2-0Super League
Dec 19, 2022Coastal Heroes(away)2-1Super League
Dec 3, 2022Mwatate United(away)5-0Super League
Nov 26, 2022Mara Sugar(home)0-1Super League
Shabana
DateOpponentScoreCompetition
Jan 11, 2023Mwatate United(home)5-0Super League
Jan 7, 2023Mara Sugar(away)1-0Super League
Dec 18, 2022Vihiga United FC(home)0-0Super League
Dec 14, 2022Mombasa Elite(away)1-0Super League
Dec 9, 2022Assad(home)1-0Super League

What does the head-to-head say?

Across the last 2 meetings: 0 Naivas wins, 1 draw, 1 Shabana win.

DateScoreCompetition
Apr 27, 2022Shabana 0-0 NaivasSuper League
Jan 9, 2022Naivas 0-1 ShabanaSuper League

Last archived meeting: Shabana vs Naivas on Apr 27, 2022

How many goals should we expect?

Naivas score 1.3 and concede 0.9 goals per match over their last 15; Shabana score 1.3 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Naivas1.30.966/156/15
Shabana1.30.594/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

The current season has no played match yet: final standings of the 2025-26 season.

Final 2025-26 standings
#ClubPWDLGFGAPts
7Naivas38171011473061

A question about Naivas vs Shabana?

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

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Next match: Naivas and Shabana

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