1. National Bank of Egypt vs Al Masry

National Bank of Egypt vs Al Masry Prediction, Stats & Betting Tips

Premier League - Season 2026/2027 (Round 8)

Wasteful

Al Masry are scoring fewer goals than their chances (xG) usually bring

−4goals fewer than their chances (xG) in their last 10

77% of teams scoring this many fewer goals than their chances scored more in their next 10 games.

Bookmakers: Al Masry 34% to winNational Bank of Egypt 36%

National Bank of Egypt vs Al Masry score prediction

Premier League

The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.

Evenly matched in front of goal

2.4 goals in total, a little over the Premier League average of 2.2.

goals expected

Calculated by MyGameOdds · xG: our own model

How it works

We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.

Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.

How we measure →
Get our AI football prediction and stats for National Bank of Egypt vs Al Masry: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.

National Bank of Egypt vs Al Masry — Our Model vs the Bookmakers

Market check · Premier League

For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.

How to read it

our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Disagrees with bookmakers

Our model’s pick

Al Masry to win

Our model 36%Bookmakers 34%

Our track record

In 1,534 matches over the last 12 months where our model gave the same pick a 35–40% chance but the bookmakers favoured a different outcome, it came true 28.7% of the time: closer to the bookmakers’ 29.5% than to our 35–40%.

Both Teams to Score →Disagrees with bookmakers

Our model’s pick

No, not both

Our model 51%Bookmakers 48%

Our track record

In 3,143 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 46.5% of the time: closer to the bookmakers’ 46.4% than to our 50–55%.

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Under 2.5 goals

Our model 59%Bookmakers 56%

Our track record

In 5,354 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 58.4% of the time (bookmakers said 59.1%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Our model 80%Bookmakers 77%

Our track record

In 1,718 matches over the last 12 months where our model gave the same pick a 80–85% chance and the bookmakers agreed, it came true 80.4% of the time (bookmakers said 81.3%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Our model 48%Bookmakers 48%

Our track record

In 4,292 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 48.0% of the time (bookmakers said 47.2%).

National Bank of Egypt Goals →Agrees with bookmakers

Our model’s pick

National Bank of Egypt 0–1 goals

Our model 70%Bookmakers 66%

Our track record

In 2,697 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 69.0% of the time (bookmakers said 67.6%).

Al Masry Goals →Agrees with bookmakers

Our model’s pick

Al Masry 0–1 goals

Our model 68%Bookmakers 67%

Our track record

In 3,309 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.0% of the time (bookmakers said 67.7%).

Odds can still move before kick-off. The track record uses closing odds.

National Bank of Egypt vs Al Masry — AI Prediction & Probabilities by Market

Below are our AI-generated match predictions for National Bank of Egypt vs Al Masry. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.

National Bank of EgyptNational Bank of Egypt–
Al MasryAl Masry–

Winner

12 70%

BTTS*

No 51%

Correct Score

1-1 14%

Over/Under 2.5 goals

under 59%

Over/Under 3.5 goals

under 70%

Full Time

134%
X30%
236%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT33%67%59%41%
<3.5>3.5<4.5>4.5
FT70%30%90%10%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
National Bank of Egypt34%66%70%30%
Al Masry32%68%68%32%
<2.5>2.5<3.5>3.5
National Bank of Egypt90%10%98%2%
Al Masry89%11%97%3%

1st Half

127%
X48%
225%

1st Score

143%
X11%
246%

Half Time/Full Time

X-X

21%

2-2

18%

1-1

17%

X-2

14%

X-1

13%

1-X

6%

2-X

6%

1-2

2%

2-1

2%

Correct Score

1-1

13.9%

0-1

11.4%

1-0

10.7%

0-0

10.6%

1-2

8.3%

2-1

7.9%

0-2

6.4%

2-0

6.0%

2-2

4.6%

1-3

3.0%

*Probability of each predicted outcome is expressed in percentage (%)

*BTTS - Both teams to score

National Bank of Egypt vs Al Masry: the stats that stand out

Premier League

Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.

How to read it

the teamleague averageshare of games, 0 to 100%

Al Masry: always chasing

Always chasing
Al Masry7/10

Al Masry conceded first in 7 of their last 10 (league 44%).

Calculated by MyGameOdds

How it works

We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.

How we measure →

National Bank of Egypt vs Al Masry: attack vs defence

Premier League

Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.

How to read it

other Premier League teamsleague averagelast 10 games

↑ Fewer chances allowed (xGA a game)

More chances created (xG a game) →

  • National Bank of EgyptNational Bank of Egypt: good attack, good defence (1.53 xG, 0.97 xGA a game)
  • Al MasryAl Masry: good attack, good defence (1.28 xG, 0.99 xGA)

Calculated by MyGameOdds · xG: our own model

How it works

xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.

How we measure →

National Bank of Egypt vs Al Masry form and luck check

Premier League

Whether each side is taking more or fewer points than its chances usually bring.

How to read it

what their chances usually bringoutside the normal range (±4)last 10 Premier League games

Both results in line with their chances

  • National Bank of Egypt
    National Bank of EgyptBookmakers: 36% to win today.Wasteful · −4 goals
    −2.7
  • Al Masry
    Al MasryBookmakers: 34% to win today.Wasteful · −4 goals
    −1.6

Last 5 matches

National Bank of EgyptNational Bank of Egypt
D
W
L
W
W
9th in table
Al MasryAl Masry
D
D
L
L
L
13th in table
W
D
L
Last 5 Matches

Strength rank: National Bank of Egypt 4th of 20 · Al Masry 7th of 20

Calculated by MyGameOdds · xG: our own model

How it works

For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.

We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.

Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.

Strength rank: we rank this season's 20 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.

How we measure →

National Bank of Egypt vs Al Masry: Over 2.5 & BTTS?

Premier League

How often each side's recent league games had over 2.5 goals and both teams scoring.

How to read it

a game where it happenedleague averagelast 10 Premier League gamesBTTS = both teams scored

Al Masry games go over 2.5 goals less often than the Premier League average (37%), National Bank of Egypt games more often.

Over 2.5 goalsleague 37%
National Bank of Egypt4 of 10
Al Masry2 of 10
BTTSleague 50%
National Bank of Egypt4 of 10
Al Masry4 of 10

Calculated by MyGameOdds

How it works

For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 284 games played here in the last 12 months.

How we measure →

National Bank of Egypt vs Al Masry corners, cards and goal times

Premier League

Each side's corners and cards a game, and when it scores and concedes, from its recent league games.

How to read it

league averagelast 10 in the league · corners and cards per gamePro · free for now

Goal times close to the Premier League average

National Bank of Egypt

Al Masry

6.4

Corners won · league 4.5

4.9

3.8

Corners conceded · league 4.5

3.1

1.4

Cards · league 2.0

1.8

2.0

Opponents' cards · league 2.0

1.8

33%

Goals before half-time · league 44%

22%

17%

Goals after 75' · league 28%

33%

45%

Conceded before half-time · league 44%

45%

18%

Conceded after 75' · league 28%

27%

Calculated by MyGameOdds

How it works

We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.

How we measure →

Our prediction record

Our last 5 predictions in each team’s matches, by market.

Full-Time Result

Al MasryAl Masry
1/5
National Bank of EgyptNational Bank of Egypt
3/5

Both Teams to Score

Al MasryAl Masry
2/5
National Bank of EgyptNational Bank of Egypt
3/5

Over/Under 2.5 Goals

Al MasryAl Masry
4/5
National Bank of EgyptNational Bank of Egypt
3/5

Over/Under 3.5 Goals

Al MasryAl Masry
5/5
National Bank of EgyptNational Bank of Egypt
4/5

First Half Result

Al MasryAl Masry
2/5
National Bank of EgyptNational Bank of Egypt
2/5

Correct Score

Al MasryAl Masry
1/5
National Bank of EgyptNational Bank of Egypt
2/5
correct predictionwrong prediction

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