Dikernis vs Makadi: result 3-1 and analysis
Second LeagueRelegation Round - 6Kick-off on April 17, 2024 at 01:30 PM (UTC)Dikernis Stadium, Dikernis
Full time
What was the result of Dikernis vs Makadi?
Dikernis won 3-1 on April 17, 2024.
Goalscorers
- 5′?Dikernis
- 9′?Dikernis
- 75′?Dikernis
- 90′?Makadi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dikernis have 4 wins, 5 draws and 6 defeats; Makadi have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2024 | Asyut Petrol(away) | 1-1 | Second League |
| Mar 5, 2024 | Nogoom El Mostakbal FC(home) | 4-0 | Second League |
| Feb 27, 2024 | Aswan Sc(away) | 0-1 | Second League |
| Feb 20, 2024 | Itesalat(home) | 0-0 | Second League |
| Feb 13, 2024 | Al Nasr Taaden(away) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2024 | Misr EL Makasa(home) | 4-1 | Second League |
| Mar 5, 2024 | Abu Qair Semad(away) | 1-2 | Second League |
| Feb 27, 2024 | Gomhoreyat Shebin(home) | 2-1 | Second League |
| Feb 20, 2024 | Al Nasr Taaden(home) | 2-2 | Second League |
| Feb 13, 2024 | Asyut Petrol(away) | 0-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 Dikernis wins, 1 draw, 0 Makadi wins.
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2023 | Makadi 2-2 Dikernis | Second League |
How many goals should we expect?
Dikernis score 0.9 and concede 1.1 goals per match over their last 15; Makadi score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dikernis | 0.9 | 1.1 | 6 | 5/15 | 5/15 |
| Makadi | 0.9 | 1.2 | 3 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Dikernis vs Makadi?
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