Dikernis vs Itesalat: result 1-3 and analysis
Second LeagueRegular Season - 1Kick-off on September 26, 2023 at 02:00 PM (UTC)Dikernis Stadium, Dikernis
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What was the result of Dikernis vs Itesalat?
Itesalat won 1-3 on September 26, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dikernis have 7 wins, 3 draws and 5 defeats; Itesalat have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2023 | Baladiyyat Al Mehalla(home) | 0-4 | Second League - Group C |
| Jun 7, 2023 | El Mansura(away) | 1-0 | Second League - Group C |
| May 31, 2023 | El Hamam(home) | 2-0 | Second League - Group C |
| May 24, 2023 | Abu Qair Semad(away) | 2-3 | Second League - Group C |
| May 17, 2023 | Pioneers(home) | 3-1 | Second League - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 9, 2023 | El Minya(away) | 5-4 | Second League - Play-offs |
| Jul 3, 2023 | Proxy(home) | 0-1 | Second League - Play-offs |
| Jun 16, 2023 | El Sharqia Dokhan(home) | 4-2 | Second League - Group B |
| Jun 9, 2023 | El Obour Sporting(away) | 0-0 | Second League - Group B |
| Jun 2, 2023 | Al Mostaqbal(home) | 3-0 | Second League - Group B |
How many goals should we expect?
Dikernis score 1.2 and concede 1.4 goals per match over their last 15; Itesalat score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dikernis | 1.2 | 1.4 | 7 | 5/15 | 8/15 |
| Itesalat | 1.8 | 1.5 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Itesalat | 9 | 6 | 0 | 3 | 14 | 7 | 18 |
A question about Dikernis vs Itesalat?
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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