AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Masar vs El Dakhleya: result, form and history
Masar beat El Dakhleya 3-1 in the Second League on 8 Oct 2026. The two went into the match with similar recent form.
Match Forecasts
Both teams to score forecasts not available for this match
Goal forecasts not available for this match
Corner forecasts not available for this match
Card forecasts not available for this match
Match Events
Team Comparison
AI Insights
Game State Tendencies
- Leads at half-time in 60% of matches
- Concedes more in 2nd half - can tire late
- Tied at half-time in 60% of matches
- Comeback tendency: recovers from HT deficit 50% of the time
- Scores more in 2nd half (1.2 vs 0.4 in first half)
- Concedes more in 2nd half - can tire late
Head to Head
Last 2 meetings, all competitions
Previous meetings
Recent Form
League Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 10 | 7 | 1 | 2 | 21:10 | +11 | 22 | WLWLW | |
| 2 | 10 | 5 | 5 | 0 | 13:5 | +8 | 20 | DDDWD | |
| 3 | 10 | 6 | 1 | 3 | 14:7 | +7 | 19 | DWLWW | |
| 4 | 10 | 6 | 1 | 3 | 14:10 | +4 | 19 | LWWLL | |
| 5 | 10 | 5 | 3 | 2 | 17:9 | +8 | 18 | DLDWW | |
| 6 | 10 | 5 | 3 | 2 | 10:5 | +5 | 18 | DLWLW | |
| 7 | 10 | 4 | 5 | 1 | 15:9 | +6 | 17 | DWDWW | |
| 8 | 10 | 4 | 5 | 1 | 12:7 | +5 | 17 | DWDWD | |
| 9 | 10 | 5 | 2 | 3 | 13:11 | +2 | 17 | WLWWL | |
| 10 | 10 | 4 | 3 | 3 | 17:15 | +2 | 15 | WDDWL | |
| 11 | 10 | 3 | 3 | 4 | 9:9 | 0 | 12 | DWLWD | |
| 12 | 10 | 3 | 2 | 5 | 10:15 | -5 | 11 | DWLLL | |
| 13 | 10 | 2 | 4 | 4 | 17:16 | +1 | 10 | LLWLD | |
| 14 | 10 | 2 | 4 | 4 | 11:15 | -4 | 10 | LDWDW | |
| 15 | 10 | 2 | 4 | 4 | 7:11 | -4 | 10 | DDLLD | |
| 16 | 10 | 2 | 4 | 4 | 9:15 | -6 | 10 | DLLWW | |
| 17 | 10 | 2 | 2 | 6 | 8:15 | -7 | 8 | DWDLL | |
| 18 | 10 | 1 | 4 | 5 | 5:11 | -6 | 7 | WDLLL | |
| 19 | 10 | 1 | 3 | 6 | 4:20 | -16 | 6 | LDWDD | |
| 20 | 10 | 0 | 3 | 7 | 7:18 | -11 | 3 | DLLLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | 10 | 21:10 | 22 | |
| 2 | 10 | 13:5 | 20 | |
| 3 | 10 | 14:7 | 19 | |
| 4 | 10 | 14:10 | 19 | |
| 5 | 10 | 17:9 | 18 | |
| 6 | 10 | 10:5 | 18 | |
| 7 | 10 | 15:9 | 17 | |
| 8 | 10 | 12:7 | 17 | |
| 9 | 10 | 13:11 | 17 | |
| 10 | 10 | 17:15 | 15 | |
| 11 | 10 | 9:9 | 12 | |
| 12 | 10 | 10:15 | 11 | |
| 13 | 10 | 17:16 | 10 | |
| 14 | 10 | 11:15 | 10 | |
| 15 | 10 | 7:11 | 10 | |
| 16 | 10 | 9:15 | 10 | |
| 17 | 10 | 8:15 | 8 | |
| 18 | 10 | 5:11 | 7 | |
| 19 | 10 | 4:20 | 6 | |
| 20 | 10 | 7:18 | 3 |
Explore more predictions
This match
More Second League matches
- Pharco vs Tersana 01/10/26
- Baladiyyat Al Mehalla vs Team 02/10/26
- El Dakhleya vs Maleyet Kafr El Zayiat 02/10/26
- Kahraba Ismailia vs Mega Sport 02/10/26
- Mega Sport vs Dayrout 08/10/26
- El Entag EL Harby vs La Viena FC 09/10/26
- Ismaily SC vs Tanta SC 09/10/26
- Maleyet Kafr El Zayiat vs Baladiyyat Al Mehalla 09/10/26
About the Masar vs El Dakhleya forecast
Every forecast on this page comes from the same model inputs: team ratings, recent form, goals scored and conceded, and how these sides have fared against each other.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
Masar and El Dakhleya in the Second League table
In the Second League table, Masar are 1st and El Dakhleya 16th, 12 points apart. League goal record so far: Masar 21-10, El Dakhleya 9-15. The full standings are on the Second League Table 2026 page.
Key Factors for This Match
Masar have led at half-time in 60% of their recent matches. Masar and El Dakhleya have met only 2 times recently, averaging 4.0 goals per game in those meetings. Some underlying data for this fixture is limited, which the model accounts for with a lower confidence rating.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.


