Excel has hundreds of formulas. But as a new learner or user, you may want to just focus on top 10 formulas to get the most out of it. Assuming you already know the basics (check out Beginner Excel page if you are complete newbie), here is a list of top 10 Excel formulas for you.

Top 10 Excel Formulas – The list
#1 Table & Structural References
If you don’t know how to effectively talk to your data, then your formulas will suck. That is why, my #1 formula is not even a formula. Learn how to refer to data in the spreadsheet, especially in tables. You can use tablename[column name] notation to refer to entire columns of data. You can also use [@column] to refer to column value in the current row of table.
For example, you can write formulas like these:
- SUM(mySales[no. of customers]) to find how many customers we had.
- SUMIFS(mySales[no. of customers], mySales[product], “FastCar”) to find how many customers bought “FastCar”
Learn more about tables & structural references in Excel.
#2 Bye bye nested IF, Hello IFS formula

You might already know about IF formula. We use it to test logical conditions and output one of two possibilities. But what if you have a very long, complex scenario that requires multiple IF functions? Simple, use IFS() instead. It can take any number of condition, output combinations and works elegantly.
Example Nested IF formula: =IF(A1>20, “Very high”, IF(A1>15, “High”, IF(A1>10, “Medium”, IF(A1>5, “Low”, “Very Low”))))
Same formula as IFS() =IFS(A1>20,"Very high", A1>15,"High", A1>10,"Medium", A1>5,"Low", A1<=5,"Very low")
#3 SUMIFS / COUNTIFS
Almost all business analysis situations will involve questions like “what is the count / sum of things that meet conditions A,B…N”. And to answer them elegantly and swiftly, you need SUMIFS / COUNTIFS. The beauty of these functions is that they are easy to learn and use.
Example SUMIFS formula:
=SUMIFS(data[Purchase Amount], data[Lead Group],"Online", data[Quantity], ">3")
Sums up [Purchase Amount] column where [Lead Group] is online AND [Quantity] is more than 3.
Learn all about SUMIFS formula.
#4 SWITCH – CHOOSE() for new age

SWITCH is one of the new functions introduced in Excel. This versatile function helps you select one of the many outcomes based on any type of conditions. In some ways, SWITCH is similar to IFS, but it also has default option, so if none of the SWITCH conditions are met, you get value in the default parameter.
Example SWITCH formula:
=SWITCH([@State],"CO","Other","WA","Other","TX","South","East")
What it does?
Looks at [@State] value and prints one of the outputs - "Other", "South" or "East"
#5 VLOOKUP – Always in style

The other day, I went to drinks with a few mates after work. We were sitting in a hip bar drinking best of Wellington beer on a sunny day. I overhear two ladies talking about, wait for it…. VLOOKUP. I turn around and look at them. They look like fresh graduates celebrating a busy week of work and they could be talking about almost anything, but VLOOKUP is trending.
So yeah, learn VLOOKUP you must. It is the quintessential Excel function for data analysis. You can answer questions about your data using VLOOKUP.
If you are an absolute VLOOKUP virgin, try introduction to VLOOKUP page or What is VLOOKUP video. For more advanced lookup trickery and examples, checkout VLOOKUP tag or get a copy of my VLOOKUP Book.
#6 SUBTOTAL – Filter what you want, see summaries
You know that SUM(), COUNT(), AVERAGE() etc. give you basic stats about your data. But what if you filtered out to look at data for “HR department” only or “people aged between 25 and 40”. Your SUM() doesn’t change.
This is where SUBTOTAL() comes in. By default, SUBTOTAL ignores anything that is filtered away. So what you see is what you get.
Example SUBTOTAL formula:
=SUBTOTAL(9,data[Purchase Amount])
Sums up (9) filtered values in data[Purchase Amount] column.
Learn more about Excel SUBTOTAL formula.
#7 MAXIFS / MINIFS

You may already know about MAX() and MIN() formulas. But what if you want to know the maximum value based on a few criteria? Simple, use MAXIFS(). This newly added function is simple, versatile and easy to learn (if you know SUMIFS, then you know this too).
Example MAXIFS() formula:
=MAXIFS(data[Purchase Amount], data[Lead Group],"Online")
Returns maximum data[Purchase Amount] where [Lead Group] is "Online"
#8 FIND / SEARCH
There are heaps of text formulas in Excel. But if you are just starting out, go with FIND(). It finds one text value inside another. If there is a match, FIND() returns the starting position of the match, else #VALUE error.
Keep in mind though, FIND() is case sensitive. Use SEARCH() if you don’t care about the case of data.
Examples of Excel FIND() and SEARCH() functions.
- =FIND(“l”, “Hello people..”) => 3
- =FIND(“P”, “Hello people..”) => #VALUE! error as P can’t be found.
- =FIND(“p”, “Hello people..”) => 7
- =SEARCH(“P”, “Hello people..”) => 7 as SEARCH doesn’t care for case
- =FIND(“p”, “Hello people..”, 8) => 10 Finds p after 8th letter – i.e. second p
#9 TODAY / NOW

Almost all business data will have a component of dates. So learning how to work with date & time values in Excel can be a huge help. If you are new to this, start with TODAY(). As the name suggests, TODAY() tells you the current date. This is a dynamic formula, so if you write =TODAY() in a cell, the date changes every day.
You can use NOW() formula to see current date & time.
Example – Calculating employee tenure in days:
If you have start date of an employee in a cell (A1), you can calculate their tenure (service) using TODAY() formula like this.
=TODAY() - A1
The answer will be number of days between A1 (Start date) and today.
Learn all about working with date & time values in Excel.
#10 IFERROR – when #N/A happens

To err is human, to IFERROR is awesome.
Errors happen, but use IFERROR so that your audience see soothing messages rather than confounding #VALUE!s. IFERROR looks at internal formula or expression and if there is an error, prints alternative result you want.
Example IFERROR():
=IFERROR(VLOOKUP("THIS", Customers, 2, false), "Customer not found")
Looks for "THIS" in Customers table and returns 2nd column value if found, else says "Customer not found".
Overview & Examples of Excel IFERROR formula.
Watch Top 10 Excel formulas – Video
I made a video about these top 10 formulas with an example data set. You will learn all the basics + some nifty tricks about these formulas in the video. Check it out below or watch it on my YouTube channel.
Download Top 10 formulas – Example workbook
Click here to download top 10 formula example file. Examine the formulas & table calculations to learn more. Use the data to write your own formulas and practice these skills.
Want to master formulas? – 3 resources for you
If you want to learn more about Excel formulas, you have come to the right place. Check out below three resources and be a formula master.
#1 – Read other formula articles
Formulas / functions are central to doing any kind of complex work in Excel. No wonder we have more than 400 pages on this on my site. Start with these examples and see how deep the rabbit hole goes.
- 100 Excel formulas for beginners
- Top 10 formulas for aspiring analysts – recommended
- What to do when Excel formula errors
#2 – Get a book
There are 100s of Excel books out there. I recommend getting one or two good ones to slowly & surely improve your skill. Start with these…
- Excel 2016 Bible by John Walkenbach
- Data Analysis & Business Modeling by Wayne Winston
- My book – The VLOOKUP Book by Chandoo
#3 – Learn from a course
Online video courses are easy and powerful way to learn everything you need from the comfort of your chair. I highly recommend either of these two for mastering Excel formulas & data analysis.














28 Responses to “FIFA Worldcup 2018 Excel Tracker – FREE Download”
Good work as always - I liked the way you did the "menu" on the left hand side (although the buttons aren't lined up between tabs if I'm being ultra picky)
Have you previously written about the method of extracting the Wikipedia page into Power Query? It's not something I recall seeing before.
ps other geeky observsations:
- the bracket columns are too narrow for the date & match number - and will need to be wider still when the team names get populated
- match 51 should be Moscow (Luzhniki) for consistency
- it's not possible to be 23 hours ahead of GMT - the International Dateline gets in the way! I think the maximum is 14. There are also a couple of countries who work to a quarter hour to make it really complicated!
- There's a typo in the how-to - "compated" instead of compared
Thanks for the lovely feedback. I have fixed almost all of them.
1) button alignment: this is tricky as row heights can change between sheets.
2) Column width is fixed now so bracket view looks better
3) Updated the stadium name
4) Did not bother with the 23 hours ahead thingie. This is more of a novelty feature 😛
5) Fixed the type
6) Fixed an issue with live score table. This should work as long as the points table is maintained in wikipedia page - https://en.wikipedia.org/wiki/2018_FIFA_World_Cup
7) I have not discussed the technique of reading all tables on webpage to one big table. Watch out for a blog post on this soon.
Button alignment is one for the ultra-OCD sufferers 😉 There are ways, but only for those with too much time on their hands.
Aah, Excel. The perfect tool for people like us. Everything (cells) is in same shape and size by default and aligned perfectly. 😀
Is there actually a way to copy row heights (in the same way you copy column widths?)
By the way Chandoo, great post. I'm forwarding to my department. I actually use another query from the same page to automatically fill in the team names for the knock-out stages (I made one for round of 16 which I then duplicated and edited for quarter-finals etc.) This is incredible, I was always wondering how to do these type of queries from the web, and now I know 🙂
Hello!
This is quite amazing and incredibly cool to use 🙂
Testing the constraints of this sheets a few errors popped I noticed:
- Vlookup Group E-H refers to column J instead of E (eg. Brazil gets the same points as Russia because the formula looks up Russia twice)
- Power query only has 29 lines, the overview of has 32 but the 3 countries from group A are lost as the overview is refreshed - causing N/A in the group stage colums
@Jake.. thank you. I am sorry for the errors. I could not test the live points table until the games began. I see my folly now. I have fixed both issues and uploaded a new file. As the points table relies on a wikipedia page, if someone decides to change the layout or rename a column it can seriously harm this template. I took some precautions in the Power Query layer to adjust column names dynamically etc, but it is not foolproof.
Try downloading the newer version and let me know if you see something funny.
No worries!
Was able to fix the vlookup myself but the power query had me bit stumped 🙂 And wanted to give you a heads-up to everyone can enjoy it!
Thanks for the awesome sheet!
Hi,
Thanks for sharing this world cup tracker. Certainly makes it more interesting when the data is current. As a newbie, it also helps to have a couple of mistakes to find whether unintentional or not.
Thanks again
Hi,
Your v-lookups in the "Group Stage" tab for groups E, F, G, and H (all the ones under column O) are pointing to the wrong country. They all point to column J, so whatever happens to the countries in column J will also be reflected for the countries in the groups in column O for that same row.
Just thought I'd call that out. Thanks for the great work on this!
@Christian... Thanks for trying this and letting me know about lookups. I have fixed the issue now. Please download latest version for that and few more fixes.
Refresh All did not work correctly. Team names vanished though points were updated.
@Sheeloo... Can you please try with latest version (download again using above links). I tested up to latest Iran's stunning win over Morocco and it works.
Dear Chandoo
Thanks a lot for this worksheet.
However, while refreshing the data, I am getting error message as "Initialisation of Data Source failed".
May I know what version of Excel you are using? Do you have internet connectivity? If you are familiar with Power Query, try tracing the steps in the query editor. And oh, first start with the latest version of file (link above).
@Etienne - yes. Copy row, paste formats will do it, although obviously that will bring the formats of every cell in the row as well as the height.
Latest version seems to be working well.
One request: the Groups & Points tables on the Group Stage sheet have the team names pre-entered. This means they don't get sorted according to the results.
On my copy, I've changed them to a lookup, so they appear in the same order as the points table. It would be good if you can do the same if/when you release a new update!
Here's what I did. It's not the most elegant, but it works, and I didn't have much time to spend on it!
Using helper values of 1,2,3,4 in columns I and N for each group, the formula for the first team name in group A (cell J4) is:
=INDEX(points[Team],MATCH(OFFSET(J4,-(I4),0),points[Group],0)+(I4-1))
This can be copied & pasted to the other team name cells.
Cheers!
Good suggestion. I have made changes to the points table to remove lookups and just show teams in the order they appear in the detailed table. This way, You will see top two teams on first two rows. We could highlight them as well (figured this would make it look like a bowl of M&Ms, so didn't bother) or highlight *YOUR* team.
I consider my Excel skills as above average but far from guru and I love how your little projects like this get me to look at data in a new way. I would like to expand on the data in the points table through the use of some calculations but I am a little challenged by the data coming across as text. The Pts column is easy to deal with, but I'm having problems with the GD. The negative goal differential looks like it may be noted with an en dash instead of a minus sign, but if I search for an en dash in the data Excel doesn't find any. I would like to include conversion to a minus sign in my little macro so I can get everything to numbers but so far I am not having any luck. Any thoughts? Thanks for your help.
Thanks for such kind words 🙂
I suggest adding an extra step in Power Query to convert points, GD & other columns to numbers. You can replace em dash in PQ. I did not do it as this will add another layer of dependency and should the wikipedia page change, one more reason for the query to fail.
As always, an awesome spreadsheet from Chandoo. I love the Power Query score update without macros. The country watch-out is a unique feature as well!
For those who like a predictor template with flag lookup and a ribbon UI, here is our spreadsheet:
https://www.spreadsheet1.com/fifa-world-cup-2018-russia-free-prediction-templates-for-excel.html
Here is our World Cup 2022 template with LAMBDA functions:
https://www.spreadsheet1.com/fifa-world-cup-2022-qatar-free-prediction-templates-for-excel.html
[…] Interesting World Cup Tracker here at chandoo.org : https://chandoo.org/wp/fifa-worldcup-2018-tracker/ […]
Great template!
I came across another one with image vlookups for country flags
https://eexcel.co.uk/downloads (World_Cup_2018_Sweepstake.xlsx)
This is a great Template.
I am running Excel 2010 with the PowerQuery add-in running.
The scores will not update, so I followed the error and the second operation (Fitlered rows) says that the table is empty.
After a few minutes on Wikipedia, I realise that my PowerQuery skills are not good enough to work out what the issue is.
Any suggestions?
I would like to fix it myself is possible.
Thanks,
Sean.
@Sean... Can you try the latest version mate? I think it should work.
Where can I see the results for a specific match?
Thanks!
@Juan... You can now. I have included a results tab that shows match scores. This too is a live table. Just refresh data to get new results. Please download latest version file from links above to use this feature.
PS: There is another version coming soon with all goals too. I just have to spend some more time polishing the Json to table Power Query thingie.