Football in Egypt offers a mix of structure, intensity, and emerging talent. As a key competition, the Premier League reflects the overall strength of football in Egypt. We focus on relevant data points to help you understand how teams are performing.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 21 | ||||
| Ghazl El Mahallah Pharco 2026-03-07 |
LLD
LLDDL |
X2 | 0:0 |
61.26%
|
| Kahrabaa Ismailia Enppi 2026-03-07 |
WDDLW
WLWDL |
1X | 1:2 |
63.55%
|
| Smouha Modern Sport 2026-03-07 |
WLLLW
DLDDW |
1X | 3:0 |
61.72%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 20 | ||||
| Al Ittihad Ghazl El Mahallah 2026-03-02 |
LWWWL
LD |
1X | 2:0 |
86.86%
|
| Pharco Kahrabaa Ismailia 2026-03-02 |
LDDLL
DDLWW |
X2 | 0:2 |
84.11%
|
| Enppi Al Masry 2026-03-01 |
LWDLD
WDWDL |
X2 | 3:2 |
54.98%
|
| Modern Sport Petrojet 2026-03-01 |
LDDWL
WDDLW |
X2 | 1:1 |
65.07%
|
| National Bank Egypt Smouha 2026-03-01 |
WDDW
LLLWW |
1X | 1:3 |
65.45%
|
| Pyramids Zamalek 2026-03-01 |
WWWWW
WWLWW |
1X | 0:1 |
67.92%
|
| Al Ahly ZED 2026-02-28 |
WWDWD
LDWDW |
1 | 1:1 |
79.14%
|
| El Ismaily El Gouna 2026-02-28 |
DLLLL
DLDDL |
X2 | 1:2 |
52.08%
|
| Wadi Degla Ceramica Cleopatra 2026-02-28 |
WDLLW
DLWWL |
1X | 1:1 |
74.18%
|
| Round 19 | ||||
| Al Masry Modern Sport 2026-02-25 |
DWDLD
DDWLL |
1X | 1:0 |
55.53%
|
| National Bank Egypt Pharco 2026-02-25 |
DDW
DDLLL |
1 | 1:0 |
76.25%
|
| Petrojet Al Ittihad 2026-02-25 |
DDLWW
WWWLD |
X2 | 1:0 |
82.89%
|
| Ceramica Cleopatra El Ismaily 2026-02-24 |
LWWLW
LLLLL |
1 | 1:1 |
70.87%
|
| Haras El Hodood Enppi 2026-02-24 |
LLDLL
WDLDL |
X2 | 1:0 |
68.28%
|
| ZED Zamalek 2026-02-24 |
DWDWW
WLWWL |
1:2 |
|
|
| El Gouna Arab Contractors 2026-02-23 |
LDDLW
DWLWW |
X2 | 1:1 |
70.4%
|
| Kahrabaa Ismailia El Gaish 2026-02-23 |
DLWWD
LDWWW |
X2 | 2:2 |
68.52%
|
| Smouha Al Ahly 2026-02-23 |
LLWWW
WDWDD |
2 DNB | 0:1 |
78.21%
|
Our methodology
Each Premier League prediction is based on a model-driven evaluation of team performance. Models like Linear Regression are used to identify relationships within performance data. We analyze factors such as scoring trends, defensive records, and match consistency. This provides a structured and objective view of each matchup.
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