Naivas vs Assad: result 0-0 and analysis
Super LeagueRegular Season - 36Kick-off on June 28, 2023 at 12:00 PM (UTC)Camp Toyoyo, Nairobi
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What was the result of Naivas vs Assad?
Naivas and Assad drew 0-0 on June 28, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naivas have 6 wins, 2 draws and 7 defeats; Assad have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2023 | Silibwet(away) | 0-2 | Super League |
| Jun 17, 2023 | Kajiado(home) | 2-1 | Super League |
| Jun 11, 2023 | Kisumu All Stars(away) | 1-2 | Super League |
| Jun 7, 2023 | Murang'a SEAL(home) | 1-2 | Super League |
| Jun 3, 2023 | MCF(away) | 2-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2023 | Mwatate United(home) | 2-2 | Super League |
| Jun 17, 2023 | Mara Sugar(away) | 2-1 | Super League |
| Jun 11, 2023 | Vihiga United FC(home) | 1-0 | Super League |
| Jun 7, 2023 | Mombasa Elite(away) | 1-0 | Super League |
| May 27, 2023 | Silibwet(home) | 2-0 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 3 Naivas win(s), 0 draw(s), 0 Assad win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2023 | Assad 1-2 Naivas | Super League |
| Apr 22, 2022 | Naivas 4-0 Assad | Super League |
| Dec 11, 2021 | Assad 1-2 Naivas | Super League |
How many goals should we expect?
Naivas score 1.3 and concede 1.2 goals per match over their last 15; Assad score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naivas | 1.3 | 1.2 | 3 | 7/15 | 8/15 |
| Assad | 1.5 | 1.5 | 3 | 9/15 | 9/15 |
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 |
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