[Solved] Find same line of numbers

[Soricelus]

Hello guys,
I've tried in the last 2 days to figure out how to find similar lines in my table and I can't understand how to do it.
I've looked on multiple threads and read a lot about it but still... can't figure out hence why I'm looking to see if any of you can help me with a solution.
There are 5 columns (for 5 vans) and deliveries done across 3 years (4th one starting now) so there will be about 1000 lines.
Every day we need to do deliveries to 6 shops. In some days 1 van can cover even 4 shops, other days just 1. It depends when and where I need them.
Apart from many other data I am collecting from 3 complete years of deliveries, I need to find out if there are any exact matches of daily working vans.
Basically if the lines are looking like bellow:
0 1 2 1 0
2 0 0 2 2
1 1 1 2 1
2 0 0 2 2

I need to find the lines that are similar (not just as numbers but as position to) -> 2 0 0 2 2
All I could find till now was how to search in every column but nothing to return me an entire line that is similar with other line/lines.
Not sure if it help but since there is not a huge number of options, I would be able to search individually all the options (I'm thinking that the search might return more than 1 similar type of lines).

I have attached a file to this topic. I have 50 lines completed with data.
Is there any possibility to do it ?
Thank you in advance,
Sorin

[FJCC]

If I understood you correctly, here is one solutions. I combined all of the values from each row into a code number and then used COUNTIF() to find how many times each code number appears.

[Soricelus]

Bloody brilliant!
I'm amazed how quick you've done it. I've looked at filters solution but lost myself further.

I thank you very much for it!
Problem solved

[Villeroy]

This method fails because there are gaps in the list.
"1221" may mean any of:
<blank>1221
1<blank>221
12<blank>21
122<blank>1
1221<blank>

I simply filled up the date column and created a pivot table. You may even aggregate by year and month.