Masr vs Kahraba Ismailia: match statistics
Masr vs Kahraba Ismailia: form, goals and key statistics
Key match information
Masr played Kahraba Ismailia in Egyptian Premier League (Egypt). The match was played on 29 May 2026. Final score: 1:1.
Current form
Masr: 2-3-0, 1.80 points/match. Kahraba Ismailia: 2-2-1, 1.60 points/match.
Goal statistics
Masr scores 1.19 and concedes 0.94 goals per match. Kahraba Ismailia scores 1.06 and concedes 1.63. League average: 2.00 goals.
BTTS / Over / Under
BTTS: Masr 56%, Kahraba Ismailia 66%. Over 2.5: Masr 41%, Kahraba Ismailia 53%. League level: BTTS 46%, Over 2.5 34%.
xG, shots and style
Masr has higher xG: 1.24 vs 1.17. Masr: 10.9 shots per match, Kahraba Ismailia: 9.3.
Match halves
Masr: half-time lead 28%, second-half goals 0.59. Kahraba Ismailia: half-time lead 16%, second-half goals 0.78.
Goals by minute
Masr: 31-45+ (11 goals). Kahraba Ismailia: 46-60 (9 goals). This is historical distribution, not a predicted goal minute.
League context
Egyptian Premier League: 2.00 goals per match, BTTS 46%, Over 2.5 34%.
Head-to-head
Before this fixture, 1 previous H2H matches were available: 1-0-0. Average goals 3.00, BTTS 100%.
Archived pre-match analysis
This analysis was prepared before kick-off. The conclusions use only information available before the match and do not include the final result or post-match statistics.
General match analysis
Masr holds the statistical edge: 12 wins this season vs 7 for Kahraba, and a goal record of 38 scored and 30 conceded vs 34 scored and 52 conceded for the visitors. At home Masr concedes on average 0.8 goals per match and records 47% clean sheets, while Kahraba concede 1.08 goals in away matches and have only 31% clean sheets. The hosts generate higher xG at home (1.31 vs 1.11) and average 4.13 shots on target per match vs 3.15 for the guests, giving them an advantage in chance quality. The visitors have slightly higher shot conversion (14% vs 10%) and average 1.23 goals on the road, but their high number of goals conceded (52 this season) diminishes that threat. Considering league position (8 vs 19), similar form in the last 5 matches (both 2-2-1) and the hosts’ defensive edge, I assess the probabilities as 60% for Masr, 22% for a draw and 18% for Kahraba.
View the statistical overviewBTTS - will both teams score?
The 'Both Teams To Score' scenario appears dominant based on the stats: Masr has a season BTTS of 74% and concedes 2.00 goals per match on average, while Kahraba Ismailia has a BTTS of 54% and concedes 1.08 on average, which together increase the likelihood of goals from both sides. In the last 5 matches Masr records BTTS 60%, scoring 1.4 and conceding 1.2 goals on average, whereas Kahraba has BTTS 40%, scoring 1.0 and conceding 1.0, indicating the hosts more often open matches and opponents are capable of responding. xG confirms this dynamic: Masr generates 1.21 xG and allows 1.60 xG, and Kahraba generates 1.11 xG and allows 1.51 xG, so both teams create chances while also showing defensive vulnerabilities. Additionally, Masr has only 11% clean sheets this season versus 31% for Kahraba, and average shots on target are similar (3.05 vs 3.15), meaning the opponent has a realistic chance to score even with lower shooting efficiency. Considering these numbers and the fact that the Over 2.5 + BTTS combination occurs for the hosts in 57% of cases, I assign the 'Yes' scenario a 75% probability and 'No' 25%.
View BTTS statisticsOver/Under - goals analysis
Based on xG: Masr has an attacking xG of 1.21, while Kahraba concedes 1.51 xG per match, yielding about 1.36 expected goals for the home side; Kahraba’s xG is 1.11 and Masr concedes 1.60 xG, giving approximately 1.36 for the visitors and a total of ~2.72 goals. Seasonal data confirm a propensity for goals — Masr have 79% of matches over 1.5 goals, Kahraba 69%; hosts concede on average 2.0 goals at home, while visitors score on average 1.23 goals. BTTS rates are 74% (Masr) and 54% (Kahraba), and over 0.5 occurred in 89% and 100% of matches respectively, which strengthens the both-teams-to-score signal. A Poisson model on a 2.72 total yields ~75.5% chance of at least 2 goals (Over 1.5), ~51% for 3+ goals (Over 2.5) and ~29% for 4+ goals (Over 3.5). Therefore the strongest and safest signal from the data is Over 1.5; Over 2.5 is borderline (~51%) and Over 3.5 has low probability (~29%).
View Over/Under statisticsHT/FT - half-time and full-time scenario
I forecast a draw at half-time because the home side average 0.26 goals in the first half, the visitors 0.31, and half-time draws occurred in 47% of the home team’s matches and 54% of the visitors’ matches. The home team lead at the break in only 11% of games, and the away team in 23%, which further indicates a high rate of stalemates after 45 minutes. I favor the visitors after the break: they have 54% of wins this season versus 0% for the hosts, and in second halves the visitors win 46% of matches and average 1.77 points, while the home side have only 5% second-half wins and 0.63 points. Additionally, goals are scored very frequently in the second half — in 89% of the home team’s matches and 92% of the visitors’ — and the home team concedes an average of 1.37 goals after the break versus 0.69 conceded by the visitors, which supports a turnaround in favor of the away side. Therefore I select the Half-Time/Full-Time scenario draw at half-time and away win (X/2) as the strongest signal; an additional argument is the visitors’ superior shot conversion rate, 14% versus 10% for the hosts.
View first-half and second-half statisticsHalf-by-half
Match statistics
Pre-match profile— what do the season numbers say?
This is a team profile based on season data and form. Match-flow statistics are shown only after the fixture is played.
Team stats— who is more efficient?
Attack and defence comparison for both teams in the current season.
Shooting quality
| Masr | Kahraba Ismailia | |
|---|---|---|
| Accuracy (shots on target) | 35% | 33% |
| Chance quality (xG per shot) | 0.11 | 0.13 |
| Finishing (goals per shot on target) | 0.31 | 0.34 |
xG per shot around 0.08 usually means long-range attempts; 0.15+ usually means box chances. The style label comes from possession, shot volume and conversion.
* xG (expected goals) says how many goals a team should score from its chances. If actual goals are above xG, finishing is above average; if below xG, chances are being missed.
Team form— who is in better shape?
Last five matches and season record, overall and split by home and away matches.
Masr is 13% better for: last-5 form.
1.8 pts / match - Masr · 1.6 pts / match - Kahraba Ismailia
Goals— how do both teams score and concede?
How many goals both teams score and concede, plus how often they keep a clean sheet or fail to score.
Masr is 12% better for: goals scored per match.
1.19 goals / match - Masr · 1.06 goals / match - Kahraba Ismailia
Masr is 73% better for: goals conceded per match.
0.94 goals / match - Masr · 1.63 goals / match - Kahraba Ismailia
Masr scores in 78% of matches (25 of 32 matches), while Kahraba Ismailia keeps a clean sheet in 19% (6 of 32 matches).
Kahraba Ismailia scores in 78% of matches (25 of 32 matches), while Masr keeps a clean sheet in 34% (11 of 32 matches).
How often they score at least...
How often they concede at least...
* Statistics include both teams' home and away matches in the current season.
Both teams scored (BTTS)— how often do both teams score?
How often both teams' matches have goals on both sides, compared with the league average.
Goal patterns
BTTS and goal count
Goal count (Over/Under)— how often do these matches cross the goal lines?
How often matches involving these teams clear goal thresholds, in the full match and in each half.
Full match - team comparison (Over)
Over / Under - Masr
Over / Under - Kahraba Ismailia
1st half
2nd half
Match halves— when do the teams score more often?
How teams split performance between first and second half: goals, points, clean sheets and half-time state.
Masr is 42% better for: first-half form (half-time points).
1.38 pts / match - Masr · 0.97 pts / match - Kahraba Ismailia
Before half-time (1st half)
After half-time (2nd half)
Masr - second-half results
Leads at half-time in 28% of matches and wins 38%. Also wins matches without a half-time lead.
Defence stays stable across the full match.
Kahraba Ismailia - second-half results
Leads at half-time in 16% of matches and wins 22%. Also wins matches without a half-time lead.
Concedes 0.6 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.60 | 1.60 |
| Goals scored / match | 1.0 | 0.8 |
| Goals conceded / match | 0.8 | 0.6 |
| Average goals in match | 1.8 | 1.4 |
| 1 goal | 80% | 60% |
| 2 goals | 60% | 40% |
| 3 goals | 40% | 40% |
| Clean sheet | 40% | 60% |
| No goal | 20% | 40% |
| Goal difference | +1 | +1 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 0.40 | 2.00 |
| Goals scored / match | 0.2 | 0.8 |
| Goals conceded / match | 0.8 | 0.2 |
| Average goals in match | 1.0 | 1.0 |
| 1 goal | 60% | 80% |
| 2 goals | 20% | 20% |
| 3 goals | 20% | 0% |
| Clean sheet | 40% | 80% |
| No goal | 80% | 40% |
| Goal difference | -3 | +3 |
* Colours in tables show event frequency: green is common, yellow is moderate, red is rare. It is frequency, not a team rating.
Goals by minute— when do goals arrive?
Match phases in which both teams most often score and concede.
Most dangerous in minutes 31-45 (11 goals). Concedes most in 76-90 (6). Late-goal balance (76-90): -1 - late phases are a weakness.
Most dangerous in minutes 46-60 (9 goals). Concedes most in 76-90 (17). Late-goal balance (76-90): -10 - late phases are a weakness.
* Buckets 31-45 and 76-90 include added-time goals.
Additional team indicators— what do xG, efficiency and form show?
A comparison of chance quality, results and trends based on completed matches from the current season.
Match profile
Masr
Kahraba Ismailia
* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range are calculated from public season averages and frequencies for both teams. This is a statistical match profile, not a private model prediction or betting pick. The remaining indicators describe completed matches from the season.
League context— is this a high-scoring league?
How both teams compare with league-wide averages (Egyptian Premier League).
Teams vs league
| Masr | Liga | Kahraba Ismailia | |
|---|---|---|---|
| Average goals in match | ▲ 2.13 | 2.00 | ▲ 2.69 |
| Both teams scored | ▲ 56% | 46% | ▲ 66% |
| Min. 3 goals (Over 2.5) | ▲ 41% | 34% | ▲ 53% |
| Clean sheets | • 34% | 35% | ▼ 19% |
| Goal before half-time | ▲ 66% | 58% | ▼ 50% |
| Goal after half-time | • 69% | 69% | ▲ 91% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Lineups and player events
Verified starters, substitutes and recorded player events for this match.
Home team
Starting lineup
Substitutes
Away team
Starting lineup
Match timeline
Goals, cards and substitutions arranged in chronological order.
Referee and managers
Open their season profiles to compare match records, goals and disciplinary trends.
Head-to-head
Previous meeting: Masr 1 - 0 - 0 Kahraba Ismailia. Average goals 3.00, both teams scored in 100% matches.
FAQ
What was the result of Masr vs Kahraba Ismailia?
The Egyptian Premier League match finished Masr 1:1 Kahraba Ismailia. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before Masr vs Kahraba Ismailia?
Masr score 1.19 goals per game on average and Kahraba Ismailia 1.06. The Egyptian Premier League average is 2.00 goals, with Over 2.5 landing in 34% of games. Both teams score in 56% of Masr's matches and 66% of Kahraba Ismailia's.
What form are Masr and Kahraba Ismailia in?
Over the last 5 games Masr have a 2-3-0 record (1.80 points per game) and Kahraba Ismailia 2-2-1 (1.60 points per game).
Where can I find a betting tip and analysis for Masr vs Kahraba Ismailia?
This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.


