Football Match Scores, Stats, Predictions & Results/Friendlies Clubs/

Molesey vs Metropolitan Police

Friendlies Clubs logo
Friendlies Clubs
Sat, July 26, 2025, 14:00
Molesey logo

Molesey

1 - 3
Full Time
Metropolitan Police logo

Metropolitan Police

Friendlies Clubs logo

Friendlies Clubs

Who will win?

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Competition

Friendlies Clubs logo

Friendlies Clubs

World

INTERESTING FACTS

The team has scored 11 goals in the last 10 matches

Total score over 2.5 goals in 6 of the last 10 matches

The team has conceded 19 goals in the last 10 matches

The team has scored 4 goals in the last matches against the

The team has not won in the last 3 matches

AI Predictions

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Detailed Information

MATCH WINNER
1
NA
0%
X
NA
0%
2
NA
0%
DOUBLE CHANCE
1X
NA
0%
12
NA
0%
2X
NA
0%
BOTH TEAMS SCORE
YES
NA
0%
NO
NA
0%
OVER / UNDER
OVER 05
NA
0%
UNDER 05
NA
0%
OVER 15
NA
0%
UNDER 15
NA
0%
OVER 25
NA
0%
UNDER 25
NA
0%
OVER 35
NA
0%
UNDER 35
NA
0%
OVER 45
NA
0%
UNDER 45
NA
0%
OVER 55
NA
0%
UNDER 55
NA
0%
OVER 65
NA
0%
UNDER 65
NA
0%
The match is not finished yet
The match is over and the prediction was correct
The match is over and the prediction was wrong
1XPrediction type
85%Probability according to AI
1.34Average rate

About the Molesey vs Metropolitan Police

Who? Friendlies Clubs opponents Molesey and Metropolitan Police. What? A high-stakes match. When? 07/26/2025 at 02:00 PM UTC. Why? For the victory. How? Follow the latest Molesey vs Metropolitan Police live score on 180Score.

Results of previous matches

Molesey 1 - 4 Metropolitan Police was the final score the last time they met.

Explore the Molesey vs Metropolitan Police match timeline on this page!

Molesey vs Metropolitan Police analytics and predictions

View current lineups and starting XIs right here!

Need performance ratings for each team player? Check the Player Ratings tab.

Get Match Winner, Double Chance, and Over/Under 2.5 predictions for Molesey vs Metropolitan Police, powered by our data-driven AI.

Our charts compare team power, performance, and goal timing using data from each team’s last 10 games.

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