Dandora Love vs Shabana: result 2-3 and analysis
Super LeagueRegular Season - 25Kick-off on May 15, 2022 at 12:00 AM (UTC)Camp Toyoyo, Nairobi
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What was the result of Dandora Love vs Shabana?
Shabana won 2-3 on May 15, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dandora Love have 4 wins, 2 draws and 9 defeats; Shabana have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2022 | Vihiga United FC(home) | 2-0 | Super League |
| May 1, 2022 | Naivas(away) | 0-1 | Super League |
| Apr 27, 2022 | MCF(home) | 2-2 | Super League |
| Apr 22, 2022 | Mombasa Elite(away) | 0-0 | Super League |
| Apr 16, 2022 | Zoo Kericho(home) | 1-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2022 | Silibwet(home) | 1-0 | Super League |
| Apr 27, 2022 | Naivas(home) | 0-0 | Super League |
| Apr 22, 2022 | Coastal Heroes(away) | 1-2 | Super League |
| Apr 17, 2022 | MCF(home) | 1-2 | Super League |
| Apr 3, 2022 | Silibwet(away) | 2-0 | Super League |
What does the head-to-head say?
In the last meeting: 0 Dandora Love wins, 0 draws, 1 Shabana win.
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2022 | Shabana 2-1 Dandora Love | Super League |
Last archived meeting: Shabana vs Dandora Love on Jan 16, 2022
How many goals should we expect?
Dandora Love score 1.5 and concede 2.5 goals per match over their last 15; Shabana score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dandora Love | 1.5 | 2.5 | 2 | 11/15 | 11/15 |
| Shabana | 1.1 | 0.9 | 7 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Dandora Love vs Shabana?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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